! / 0 0 0 0 6584 ` fann_runfann_destroyfann_print_parametersfann_get_num_inputfann_get_num_outputfann_get_total_neuronsfann_get_total_connectionsfann_get_network_typefann_get_connection_ratefann_get_num_layersfann_get_layer_arrayfann_get_bias_arrayfann_get_connection_arrayfann_set_weightfann_set_weight_arrayfann_get_weightsfann_set_weightsfann_get_user_datafann_set_user_datafann_disable_seed_randfann_enable_seed_randfann_seed_randfann_save_internal_fdfann_activationfann_update_MSEfann_testfann_get_MSEfann_get_bit_failfann_reset_MSEfann_update_weights_batchfann_update_weights_quickpropfann_update_weights_irpropmfann_update_weights_sarpropfann_get_training_algorithmfann_set_training_algorithmfann_get_learning_ratefann_set_learning_ratefann_set_activation_function_hiddenfann_set_activation_function_outputfann_set_activation_steepness_hiddenfann_set_activation_steepness_outputfann_get_train_error_functionfann_set_train_error_functionfann_get_callbackfann_set_callbackfann_get_quickprop_decayfann_set_quickprop_decayfann_get_quickprop_mufann_set_quickprop_mufann_get_rprop_increase_factorfann_set_rprop_increase_factorfann_get_rprop_decrease_factorfann_set_rprop_decrease_factorfann_get_rprop_delta_minfann_set_rprop_delta_minfann_get_rprop_delta_maxfann_set_rprop_delta_maxfann_get_rprop_delta_zerofann_set_rprop_delta_zerofann_get_sarprop_weight_decay_shiftfann_set_sarprop_weight_decay_shiftfann_get_sarprop_step_error_threshold_factorfann_set_sarprop_step_error_threshold_factorfann_get_sarprop_step_error_shiftfann_set_sarprop_step_error_shiftfann_get_sarprop_temperaturefann_set_sarprop_temperaturefann_get_train_stop_functionfann_set_train_stop_functionfann_get_bit_fail_limitfann_set_bit_fail_limitfann_get_learning_momentumfann_set_learning_momentumfann_destroy_trainfann_shuffle_train_datafann_get_min_max_datafann_get_min_train_inputfann_get_max_train_inputfann_get_min_train_outputfann_get_max_train_outputfann_scale_data_to_rangefann_scale_datafann_scale_input_train_datafann_scale_output_train_datafann_scale_train_datafann_length_train_datafann_num_input_train_datafann_num_output_train_datafann_save_train_internal_fdfann_get_train_inputfann_get_train_outputfann_desired_error_reachedfann_reset_errnofann_reset_errstrfann_get_errnofann_get_errstrfann_set_error_logfann_print_errorfann_errorfann_print_connectionsfann_allocate_scalefann_clear_scaling_paramsfann_allocate_neuronsfann_allocate_connectionsfann_save_internalfann_activation_derivedfann_backpropagate_MSEfann_compute_MSEfann_update_weightsfann_trainfann_train_epoch_incrementalfann_update_slopes_batchfann_train_epoch_batchfann_clear_train_arraysfann_randomize_weightsfann_init_weightsfann_train_epoch_quickpropfann_train_epoch_irpropmfann_train_epoch_sarpropfann_get_layerfann_get_neuron_layerfann_save_train_internalfann_scale_inputfann_scale_outputfann_descale_inputfann_descale_outputfann_set_input_scaling_paramsfann_set_output_scaling_paramsfann_set_scaling_paramsfann_check_input_output_sizesfann_allocate_structurefann_create_sparse_arrayfann_create_standard_arrayfann_create_standardfann_create_sparsefann_create_shortcut_arrayfann_create_shortcutfann_create_from_fd_1_1fann_create_from_fdfann_create_from_filefann_merge_train_datafann_duplicate_train_datafann_subset_train_datafann_create_trainfann_create_train_pointer_arrayfann_create_train_arrayfann_create_train_from_callbackfann_read_train_from_fdfann_read_train_from_filefann_copyfann_set_activation_function_layerfann_set_activation_steepness_layerfann_save_trainfann_save_train_to_fixedfann_savefann_save_to_fixedfann_get_neuronfann_get_activation_steepnessfann_set_activation_functionfann_set_activation_steepnessfann_get_activation_functionfann_test_datafann_train_epochfann_train_on_datafann_train_on_filefann_scale_trainfann_descale_trainfann_init_error_datafann_print_connections_rawfann_train_outputs_epochfann_train_outputsfann_reallocate_connectionsfann_reallocate_neuronsinitialize_candidate_weightsfann_initialize_candidatesfann_update_candidate_slopesfann_update_candidate_weightsfann_train_candidates_epochfann_train_candidatesfann_add_layerfann_set_shortcut_connectionsfann_add_candidate_neuronfann_cascadetrain_on_datafann_cascadetrain_on_filefann_install_candidatefann_get_cascade_num_candidatesfann_get_cascade_output_change_fractionfann_set_cascade_output_change_fractionfann_get_cascade_output_stagnation_epochsfann_set_cascade_output_stagnation_epochsfann_get_cascade_candidate_change_fractionfann_set_cascade_candidate_change_fractionfann_get_cascade_candidate_stagnation_epochsfann_set_cascade_candidate_stagnation_epochsfann_get_cascade_num_candidate_groupsfann_set_cascade_num_candidate_groupsfann_get_cascade_weight_multiplierfann_set_cascade_weight_multiplierfann_get_cascade_candidate_limitfann_set_cascade_candidate_limitfann_get_cascade_max_out_epochsfann_set_cascade_max_out_epochsfann_get_cascade_max_cand_epochsfann_set_cascade_max_cand_epochsfann_get_cascade_min_out_epochsfann_set_cascade_min_out_epochsfann_get_cascade_min_cand_epochsfann_set_cascade_min_cand_epochsfann_get_cascade_activation_functions_countfann_get_cascade_activation_functionsfann_set_cascade_activation_functionsfann_get_cascade_activation_steepnesses_countfann_get_cascade_activation_steepnessesfann_set_cascade_activation_steepnessesfann_train_epoch_batch_parallelfann_train_epoch_irpropm_parallelfann_train_epoch_quickprop_parallelfann_train_epoch_sarprop_parallelfann_train_epoch_incremental_modfann_default_error_logFANN_SEED_RANDfloatfann.c.o/ 0 0 0 644 484840 ` ELF(^@@?#{@S**bkKTa` ?k*T@"|~a!$~ӆ@@L''4 @!@!hb?h"(!AThb@h"BTSA@{è#_cR ?#{4@S**@?k TA@ ?kTR`rgD-Rer'R#rfE-*!'!|~~fAh@c'i"@M) haP #B# 4@B@Aha_h!(!ATha!8 TA1 !!L&L2ha"("P $,Th!h!h!!!TSA@{è#_A' !!% DThaB8!P 0DTB @ BR ?#{$@S** _kK T"  _kTR`rsE-Rer'vJF-'fAh@g@u@*A|~b"D~i"@M)ha 4@B@Aha_h!(!AThaha#"p gTp uTcRa("0 %T0 0Th!h!h!!ATSA@{è#_֡@  TQ $ 1T!8 !$#(#cRB  TQ $ 1Tc!R ?#{[$@S** kT3  k T*@Rr7m*F@3s~~'m~/mE-!~ 'F-cA@ ^@k>@))ZA?m -)"B@) aJ@N@"@O9 Nks!--4@!@ hs?h3) ATA!js A`@bjs$$  TDT8 T9.j3 Hk3j3sT'EmcCkD/Fm7Gm?HmSA[B{˨#_ +P!(*8 T9(j3)/j3S-!@!  !T!--!!d)/j3@'"@(,"b@!_@bB#H !R{   ?#{@S<@[s@c#"4a2H" D@ T`@.y@@@` TbR'm '6c@.T@)?k@%T"@K*@&@aH! (@*T*@q @&T q$Tq#TR *Hxf $xfkFxe @#xeExd @$%xdDxc @`#xc @`!( !T 0!00 T@! !!Eq (TZlx` , @ $ bT9CT'EmB@_6@4B0H#@A D?TSA[BcC#@{ƨ#_֟$,$,$$$> !T. !,T$ d T$ @!.!!("!$  >$ $5Rr' !T`XR r' "D T.$0!. ("  8"$5Rr' !T`XR r' "dT.$0!.(!! $ ,@!.#$(" "(#x$u$ .>L!n$ .L!gb8!>RrzRr`fR`rC'"''!#!"!( V>Rr8!zRřRr&@q@T"_q`T q@TqTRR   'X`    xkk @F @%xi" @#xh @`!( T"@@<@A"@@$@Abxd q@ @ATxd qbxd @AHTF@"@ @AF@"@ @ARr' "TRr' !TR٧r8!@Rr,Rr' !TRr' ! T8!-Rɧr@Rr"''!"! !(#5Rr' "TR٧r(!ARrC'̌Rr"''!#!"!8 6Rr' !dT6RrRɧrRrRr'd'C'"'(!!$!#!(" XR r' "dT XR r=RrBzRrARatr`XR r>' "T`XR r>Rr'zRrd'RrC'"'(!!$!#!8"(!Rr,*'!#! !("zRr(!,'! !8"q  _$ ?#{ $@`&`*@`*`@@`@`6@@`.@@`@@`@@`@@`@@` @@`f@@`n@@`v@@`@@`@@`@@`@@`@@`@@`@@`@@ @{¨#_ ?#{!<@S R[tBB@џ@TvUBQB`@@џ@T @ Rc&@BBCB|k!T*`@B@џT@ RbB@!`&@4b:@! Rbf@ R!`"@ R!"b&@ R!zbcb@!B RBxcb@ R!B @b@ R!B(@`~@ R!"`@ R!"`@ R!"`@ R!"`@ R!"`A R!"`A R!"` A R!"`A R!"`@ R!"`@ R!"b@ R!b@ R!b@ R!b@ R!b@ R!b@ R!`@ R!"`@ R!"`@4 cf@* Rcxtzc`@kT`@Ҁ4cn@* R`xt"`@kTb@ R!d \) R[B!c@SA{Ĩ#c|b|b:@BQ3 _$<@_ _$@@_ _$$@8@_q K_ _$d@_ _$$@_ _$ @_ _$BD_   _$B@TgU TBQEc@%DTe@$@BBCB|q*$5EQc@%DT_  _$BT@ qRaTB@$D_ T$@5_B@_$D!T_   _$B@TqURQUr?#R{RiU  M@T* l@)kTȝD  K *B_kxcyc C|  )!0TQ K kaT`aRC2JAT @{¨#__  _$B*@@T&|@rURRUrRRgU1@ T*  @)kTc e)@ kcK?kT*qxb!C|FT`%@?kx"T)aJ? T aCO>AT_   _$4?#{RST ` @b@a@ATSA@{è#__   _$bd@a$@B~ _$d@$@B~   _$H@_ _$H_ _$__$!R_   _$B@?#{!C@`"c!T# @@@5@@@BT{B#_@# @  ?#{S[*cks'mc4!B@T@T `@)kT&@ @X` @!"?k!( !Tp !Tc`T@T.,Rp JRTR$#@ !'B!RBccD@!RB""@!RB"&@!RB@!RB"b@!RB@!RB@!RB@!RB"@!RB"@!RB"A!RB"A!RB" A!RB"A!RB"A!RB"@!RB@!RB"@!RB@!RB@!RB@!RB@!RB@B!R94~@ !^; l!RB "(jp@!RB "(jp@B!R "(jp;@!R@B!@4 գf@!Rcxss@kT@R@!RB!@4 !^s  "(bp@kTn@l!R`xs5"s@kT@R!BxUT c@!RdAccCc|@T@R65@ -"!!>@4@!R`xw">@kT@R!b>@4@!R`xw">@kT@R!">@4@!R`xw">@kT@R!>@4@!R`xw">@kT@R!B@4@!R`xw"B@kT@R!B@4@!R`xw"B@kT@R!BB@4@!R`xw"B@kT@R!"B@4@!R`xw"B@kT@R!BT S@T!^sb! !"!(b%p@@Te@)l!R`@d@cK5"sb@@AT@ZCT@R@BҺD!қ@f@`4swU !^9  "(bpf@k)T{yl!R@{yccCc|5"9f@k(T@RSA[BcCkDsE'Fm@{ɨ#_֠~@!RB"@B!R"@B!R"Ac!p T @ A`7!R* 'B!Rm(R"!`   _$!Q!?@qIT_?#{Ha8a ֟${#_֟$ ,@!.#$("!" (#$ @!.!!("!$ T. !LT @ $> !dT${#${#$,$,$ .L!$ .>L!$0!.("@!$5Rr' !$T`XR r' " T.$0!. ("  8"$5Rr' !T`XR r' "T.${ #$  >Rr' "$TRr' ! T8!,R٧r@Rr#''!#!" ( qRr' !TRr' ! T8!Rɧr@Rr-8!>RrzRr`fR`rC'"''!#!" ( R>Rr8!zRřRr5Rr' "TR٧r(!ARrC'̌Rr"''!#!" 8 76Rr' !DT6RrRɧrRrRr'd'C'"'(!$#("!Rr(!,'!" 8  XR r' !DT XR r=RrBzRrARatr(!Rr,*'!#!" ( `XR r' !DT`XR r>Rr'zRrd'RrC'"'(!$#8">   _$"@_<qT,!$ša6,!t@ @!|@!p !tIT_x@!x_ ?#{Sb@aB@D_!,%~ӂ,av@c~@fr@jaha@8"<qC$ÚhTC6$ @!"avp T!`TB! arSA{¨#_cz@ccz _$p@4t@!#!__$x@_ _$8x__$@ #_k$@@B @T*Bk!x`x` x ?x T_  _$T_-n!#_kR@"$@@R!(``@bTR`rRgr''@@*x`x`!x`b"x`P plTP vDTBR@(  %lT 1DTx Bx kx ?x !T_֠@ 8 T$p"!Tc!8!c$b(" BR B 8 T$p"!TB _$ ?k$@gD-f@-R@TR rRgrRhr''' *x`ax`x` #""#X JT1 &&!2x`("P $Tx !x _kx x T_' %L%8 DTx`B8 P 0DTB @    ?#{AS*A[ARcA'm$@/m A7m A A('@p@#*4 t@#`   T@@k T!~?m@Rr '(H(!" `*A`zszs{s!--@bzs- %%  TDT8 T9,{3 z3z3?kz3T?HmSA[BcC#@'Em/Fm7Gm{˨#_֏ *!)M)8 T9/{3)/{3@@!@ , !T!--!!),{3@!@ '@"@(!"b@!_@bB#O<  _$`@_ _$`_ _$@_ _$_ _$Bc@@џT`@_T `_Tc@T_  _$@@_T `_T_ _$BB@c@T@@?T `?TB@T_  _$@ ?T `?T_ _$@_ _$_ _$D@_ _$D_ _$@_ _$_ _$@_ _$_ _$A_ _$_ _$A_ _$_ _$A_ _$_ _$ A_ _$ _ _$A_ _$_ _$A_ _$_ _$A_ _$_ _$A_ _$_ _$ A_ _$ _ _$@_ _$_ _$|@_ _$|_ _$@_ _$_ _$@?#{@ @@b@_a@ @bB?B`@ @{¨# @{¨#@a @ _?#{S@4Rs"kT@kT@4@|~huXeAha`haah!@h!!AT"@4@|~Xehuaha@haAh!`h!!?ATs"khT@SA{è#_  _$@@`a4G|~ӦL!"4@@a@0 LT@0 $T?T AT_֥ T aT`   _$@?#{CC)@@@@@@BҡT{A#__$@?#{CC)@@@@@@BҡT{A#__$@?#{C@@ @@@@@@BҡT{A#_   _$@?#{C@@ @@@@@@BҡT{A#_   _$!8 d8"!4E|~L!B4 `@@!8 P !,Tp !$TD?Tc AT_c Tc aTA@ a@    _$@?#@ {C*#@ @@@@cT@- *{A#?#@@ {C#@ @ @@@ *@@@cT@- *{A#  ?#@@ {C#@ @ @ @@ *@@@cT@- *{A#  ?#!@@ {C  #@  @ @@ @  *@-  * @  * !@ @@@cT@- * {A#_$@_ _$@_ _$ @_ ?#{BS!R[*# 'mi'spC)"@**T 4ҁ~}c%HRrgGC@k~;9|~  l5 "(H(jcpEpc|k T{_ T@!Rchtah{4 !~B{!8_!T@R@ l5 "(H(jcpEpc|kT{? T@!Rchtah{4 !~B{!8?!T@RG@"AT;@cCkDRSA[BsE'Fm{ɨ#_#8!RB#8!RB_$@_kT@Xa__   _$@_kT@Xa__   _$@A4?q`T_9x@kZ_p@4t@"#!" !ෟQ_  _$_ ?#{ @@ @{¨#_   _$@_ ?#{S@t SA{¨#__$`__ _$@C4@@B!R@_   _$ ?#{ @ DT`.  D?TtB@*`Ҕ4`.~ DT`>D?T``.D?TRSA@{è#_ց````aR R`` `?#{S@U>@4S|~Ӏ@R@.  D?T@>  D?T@." D?TB@"4S|~R@.   DT@>` DT@.bD_TRSA@{è#_@  ?#{S8@*t@bB_TRiUR C@!!C!| #|c@!  |@E B@_aT`6SA{¨#_SAaR{¨#  ?#{Sd@*`&t`*SA@{è#_@aRSA{è# ?#{S[!* ***[B*SA{è#_AR _$DqiT_!?#{ @ !H`8`! R`r@ ')( ! $ @{¨#_֟$)R@r'0 T)R@r'0 lT.! !$@R`r'Rr0 T'0 lT.8!rR@r' !$0@ !(($0.@ !(#!(($ՁR$$"""l ` aAb$"""lha@b$X A@!.B!B( @("" $X A@!.B!B( B""$""" `Ab$"""h@b?#{S[BcsBѸAkyU,@"T/.+ Հ"@c@ (TTD `d@)C|*z` KQ4@" M$"   _A_˟C|z` z Tc`Tw_{_ZCZ T A-b__A@! AGTsBѿT/@+@SA[BcCkD{ƨ#_ր&@w_5˄C|  T&@ `f@)C|BKz`*@QB4!@ H !_@ aTc`T?#{RS@[@_.@6@B@N:@B~R.@vaUC~T/m'm @ @@i@8)@@ 4"060 jDT0 k0&Tn (bB8ab@bb @!A sb`_`_r@(FrT'Dm/EmSA[B@{ƨ#_.@[BaRSA@{ƨ#   ?#{@S,@[@'m C-@@ B. gUT"@%@ $jTT&@ ՠC@)|z`Bk*# # T@"~D~1  h`BAah` @!( ah h T`T)A ATSA[B@'Dm{Ũ#_֠&@@5(_@T&@C@)|z`Bk*# # T@"~D~1  h`BAah` @!( ah h T`T)A T@SAaR[B@'Dm{Ũ#   ?#{SSA{¨#   ?#{S8 @z4R[*Bvxb!xb@kT`r@ 4`v@#SA[B!{è#_[BSA{è#_   ?#{c@S@[@,@ C T. RgU "@@ #T@T*@ `e@)C|kz`T*I%eM% բx` x`A @  x !Tc`ATBTSA[BcC{Ĩ#_&@@5_`T `@)a!C!|Bkza@T!1I B@!A _DaTc`TBT@Bѱ@SAaR[BcC{Ĩ#?#{S8 @z`4@!xt@!xtaB!@B@@kTb@#cf@@b&@B a@4c|~ !h`@h` @h ?h !T`r@4`v@#SA{è#!_b@cf@b&@a@B 5SA{è#_ ?#{S@@*~Rt@*`@ `b@q!T`A4a@ H4 DT`@SA~R@{è#`@~R`@u@```SA@{è#_ց`@aRSA{è#~`  ?#{S$@d@t T'm(8  @  f"!(!$ aFAT@'Cm@SA@{Ĩ#SA@{Ĩ#_  ?#{"@['m@@S#@c @(A 4$@CL#|~ Մ4@@ @0!  T!  T!TB _ATBn@xBG)BDB@!cK! Kcaa@`v@9)b!"aAbT f/m #&@@`5_b@T4@)k~~ӣT"&@ @(k(  h3sIT*@` h`!T )("&@ @+k) h3sT9cT@C!T/Fm#@@SA[BcC'Em{Ǩ#@  @ SA[BcC'Em{Ǩ#_   ?#{S@:@z4ҡ@!xt@!xtaB!@B@@?kTcf@R`r@4`v@#!SA@{è#_  ?#{S@:@z4ҡ@!xt@!xtaB!@B@@kTbf@R`r@4`v@#!SA@{è#_  ?#{S@:@z4ҡ@!xt@!xtaB!@B@@kTa&ARcf@`&Aar@`&4`v@!#!SA@{è#_  _$?q TB!BBD_!MT_?#*{!R{ҿ#_  _$$@eU!!C!|?"TR@ _?#!R{{ҿ#_   ?#{S[!**`****[B*SA@{Ĩ#_R _$@<@4d@.|~ҁhb( `ThbfU hbhb8"hb!($ h"B_!T_AR   _$@@@4d@.|~ҁhb( `ThbfW hbhb8"hb!($ h"B_!T_AR   _$@<@4d@.|~ҁhb( `TfU hbhbhbhb8$#8%  h"B_!T_AR   _$@@@4d@.|~ҁhb( `TfW hbhbhbhb8$#8%  h"B_!T_AR   ?#{S!@[<@c?kT"@@@_kT@'m(@ + @ @4 4~~RҘ@O6 bjc$@hc?B(#bj#aTcT#`!@!)!DT@Rңhad@djahaB8$C h!!T!?T@B)H %T@@ 77@@ $54~~R@.  D?T@>  DT@.  D?T'DmR+@SA[BcC{Ǩ#_B!D!T9*@, !  DT@  DT@>@R'Dm+@?#{"@S<@c_kT"@[@@?kT@'m(@ + @ @4 4~~RҘ@O6 bjc$@hc?B(#bj#aTcT#`!@!)!DT@Rңhad@djahaB8$C h!!T!?T@B)H %T@@ 77@@ $54~~R@.  D?T@>  DT@.  D?T'DmR[B+@SAcC{Ǩ#_B!D!T9*@, !  DT@  DT@3B@[BR[B'Dm+@  ?#{'mH@ i@ S@5!A A 'BmSA{è#SA'Bm{è#_  ?#{<@#@_kAT# @R@@_k!T{*#_aRR?#{S*qIT1[ObafaK`@jfDdHFa&Cj)҄vFER@B``@<@<jd h gB f ecv`fR`Da"dҢ`n A3!v҇򦙙҆ЧIt&QҥD `hf` [BtSA{è#_aR[BaRaRf[B   _$.?#{S* !s'm(@ LT@ *,B `T8@RgU*B`Z`}C?!@ ?;TsU@BBC!B|!C!|BQ!Q)@,q'TB?@A Tg@l,RR@* C|Qk |!#!(!"!(b!y?k! ( "4Qa *R* d! " c IkT! " `T4A ) Tg@,qT.[B! sB*TTRɧr7mRrf-' 'ck/mtZ`UR@Urz^@b9C9bC`U_T+@A@x!"'@@A-0 x TtZbT Q  l #R "b@+@),"(jx|A!@$QdxdD@h`?k)T*`L  ?kIT@b"'@-0 x5bATuj@Zc_T@) 8 Q?kt~T3{?kT+@hw # lR "@`_+@_k*,"(ixcTaKL"!Q"@" "  @ ? TaTh7{"'@@-?k0h4hTb_T@sBATSA[BcCkDsE'Fm/Gm7Hm{ɨ#_ֿTRɧr/mRr f)''ckRy^@b@T8S@)QkT"!@*Dd_K)k! `x"x"AT"!A*d_KD) `x" x"TsBT/Gm[BcCkDSAsE'Fm{ɨ#_*AT[BaR  _$. _$@?#C*{SG@CCq)mTHRr%R 7c B@_kz!!kT4*.@@@BT{CSDC#_ր qmT*$*aRaR ?#@*{+@ SO@q)MTHRr%R7c B@_kz!!kT4*A @@@BT{CSD+@#_ր qmT*$*aRaR?#{S*[* ҢB _T:@RRfU*_`Z`|`?C!@?:aTE@sUd!!CB!|BCB|!Q)@,qTcB>@@T, RR@˥C|4f@Q`# }-B  ! `!T% f@) !T@,q T@BTRɧr'mRr')' f'#@T@@?T3@T "D*) `x!Sx!sb @T9C?T@bTBT'@cC'Em#@SA[B{ƨ#_cCaRcC_$@?#C*{SG@CCq)mTHRr%R 7c B@_kz!!kT4*@@@BT{CSDC#_ր qmT*$*aRaR  _$c@?#{CS[ci@' ҁ#s qA T@H-Bk +@a`"b&TR #@d:@a@| B?d:Tq TRkI@'@@BҁT{ESF[GcH#_t@b&@cU!C_q @!|!KBaBAC!|!Qa>`@,q`TaB_4@?aTdf@b/@ df?Tq@TBR`@,q Tc@s `f@|Dz@4R '@af@h {4?k)Tq@TRkIsJc@c@f@;@@ѿT@@?T `?TB@T?@3@ T `TT`@?T `?Tc@T7@T`TkIsJ]7@kkIT?@3@Tk s _$@?#C{S[@!G!`=T!4!@94!<5C!q3T@@3`!q5Tb!qA7T!qa2T#@br!c&q7T!q7T#@!cbq6T#@!cqA4T#@bb!cq!5Tb!q4Tb!qa4Tb!q4Tb!q3Tb"!qA3Tb2!q2TbB!q2Tbr!q!2Tb!q1Tb!qA2Tb!q1Tb!q1Tb!q!1Tb!qA1Tb!q/Tb!q0Tb!q/Tb!q/TbB!qa.Ta@`f@!~`f@0cR.5 q,T`f@#@X8`@kTb!q.Ta@`n@!~`n,R`*5 bn@BH8qA*T`@kT'5w@kSRsq)T@(4c:@aKkH(T| B`:`@Td@!eU@ccCg&@c|˄CfQ|qccBQc>qT'@q@%T`@,q#Tb@Y_@;5`@s@B q8T#@b`f@@ `fT`@,q Tb@yDRZ@@65cR#K6*q@A5T@h{<`f@k(TcFkGsHBR@@@B!T{CSD[EC#_B ՁRB@@@Ba T{CSD[EC#BBRaRBBBBBBBBBBBBBBcksaRBBBBBB}ByBuBqBmBRcFPaRGBaRcF<BBRcFkGsH,R5 b@BH8qT`>@kTR5 b@BH8qT`>@kTR`5 b@BH8q!T`>@kTR5 b@BH8qaT`>@kTR 5 b@BH8qT`B@kTR 5 b@BH8q T`B@kTR5 b@BH8q! T`B@kTR@5`B@kTb@BH8qTBRJREBR>R8RBR.BR'BR BRBRBR   ?#!{SSA{¨#_!R   ?#{cs@[@k T"@#@k! T@k@o@)  ;` ;@ ~S??@ ~?@~!@o@@~`!@B~~?@ ~?@9~!@o@@~!@B~4G~~~~} sk!sh!! ATSA[BcCkDsE{Ȩ#_R[BcCsE{Ȩ#_aR[BkDaRSA[BkDaR?#{ks c:cC)["@*7#@c)#`ST!@~!@B77@`B~!@!@4~~~}ҳj!stk!! ATSA[BcCkDsE{Ǩ#_aR[BcCaRSA[BcCaR?#{k*S*[` $@kC T kT"@*c8C)sb)"33@*B~!@7!xc~3FB~!@!xc4~~~} sk!sk!! ATSA[BcCkDsE{Ǩ#_**RSA[BkD{Ǩ#_aRcCsEaR ?#{c*S*[*k @*_XW)T#B@@@4~~Ӕ~~}j#s$k#c ATSA[BcCkD{Ũ#_aRaR   ?#{c*S[**#*v49~ӵ~~~} Հ@jshs@kshss"T[BSAcC#@{Ũ#_ ?#{k*[*c**s`V4~~~}S~RR7 `@!K4 hs`@AK5 7@hss"ATSAcCkDsE{Ǩ#_  ?#{S[**c*4 ՅB***xsxss?ֿT[BSAcC{Ĩ#_   _$@?#C{3S[c@AS q TA)@ @kRYR 4}R@5%@sk T@BhzBH3qT*ARkF@@@BҡT{BSC[DcE#_@4Z;R}@sk T@Bh{BH3qT#ARkF;@#RAR;@9 @kTkFk; ?#!{SSA{¨#_!R   ?#{SBD$@ @a` $ @@&@r@z@@`"@v@~@c&brazB@`F@bv@c"aBb@@@`~`FJ@bbaBJb`Ja`B JBK`f@a `B @A|~b`f@b@f@B~@`n@A|~b`nb@n@B~@v@`u@a@~~~`vv@@A4hT!|~҉TdUU i`i h`h h`h `h`@h ?TB@a4hV!|~҉VdWW  i`i h`h h`h `h`@h ?T`@,q T@cU6@`6@DBBCB|B~Ba@D_@!@ T @`!`">_"!Tf@af`@,q T`@@f@@#@4gD*hUD x` y`!!C!|x ! x T@@u@~``@@@u@~`@@@u@~`@@u@~`@@@SA{è#_@SA{è#_v>aR @aRaR   ?#{S@[@c#*t*kTN k*T9@s~@z3sklT@kTP k T~}4}ӵ7@@!hs@!hss"@@B!@B@TSA[BcC#@{Ũ#RR?#{S@[@c#*t*kTN k*T9@s~@z3sklT@kTP k T~}4}ӵ7@@!hs@!hss"@@B!@B@TSA[BcC#@{Ũ#RR?#{S@[@c#*t*kTN k*T9@s~@z3sklT@kTP k T~}4}ӵ7@@!hs@!hss"@@B!@B@TSA[BcC#@{Ũ#RR?#{S@[@c#*t*kTN k*T9@s~@z3sklT@kTP k T~}4}ӵ7@@!hs@!hss"@@B!@B@TSA[BcC#@{Ũ#RR_$_q-TBC|@Tc|ӢhcB@_T`_T_!R   _$?q-TB"|@c_TB|Ӂhb!@?T`?T_*!R  ?#{S!@RR**@*SA{è#_R ?#{S[!*@*#R**[B*SA{è#_R?#{S! R**@*SA{è#_AR  ?#{S! #R**@*SA{è#_AR  ?#?q{TB*˟*T|hdeU!@!!C!|?" TR{#@ _*!R{ҿ#_ ?#?q{ TB$|@˟jT|hdeU!@!!C!|?"TRC #`@{#_*!R>!R> _$_qTBD|@˟*T|hdeUB@BBCB|_#-TRc Ca_!R*!R _$?qTB$|@˟*T|hdeU!@!!C!|?"MTRC C`_*!R!R ?#?q{ TB$|@˟jT|hdeU!@!!C!|?"TRC #`@{#_*!R!R ?#{<@#@_kT# @S@@_k!T[85@x46@~}7@ jsjss"ATr@@4v@#SA[B!@{Ĩ#_SA[B@{Ĩ#_SA[BRSAaR  ?#{<@#@_kT@@# @_kT`@_qT T_ qT_qAT{#4{#aR{#_{#{#{#R?#{S[**c#@ c4D@ 4`@4R`4q@T4 4kAzT ՔkT`@5`r@4av@#!"!!T9az@?kT5SA[BcC#@{Ũ#_eF@RA ***?1T5eF@e"cz@!* Rx5" R!   ?#{@ S[!**A **[BSA@@{Ĩ#SA[B@@{Ĩ#_[B!RSA@@{Ĩ#  ?#{S@!@@aR<@_kAT"@@@_kT@4 Ձ@!xs@!xss@kTSA@{è#_SAAR@{è#RSA@{è#  ?#{S@!@@aR<@_kAT"@@@_kT@4 Ձ@!xs@!xss@kTSA@{è#_SAAR@{è#RSA@{è#  _$!@_  ?#{S@@4[ &@ R@xss"@k Tf@kT R[BSA{è#  ?#{S8!@x 4ҡ@!xt@!xtb@B@@?kT`b@ qThTqTa@bf@!_!@`r@4`v@#SA@!{è#_qTb@cf@a&AB_B@`&A`&`r@`5SA@{è#_Rb@cf@B_B@`@ qTTqT   ?#{/m @ S[@c@'m`@ @ ` 4qTqI TRr3 .* '5R`@4qT@9az@?kT3@SA[BcC'Dm/Em{Ǩ#_A9bz@_kTSA[BcC'Dm/Em{Ǩ#_`r@4av@#!"P!!jT ! !9 jTTk"?kTkT*0 (,T0 ,Tk"?kTSA[BcC'Dm/Em3@{Ǩ#_`@t@(+`9   ! !0 (T0 ,T`r@4`v@#! RP! T3@SA*[BcC'Dm/Em{Ǩ#_  ?#{S*~}(@`*`&@~`&`@`@`@``@`uR@SA{è#_@aR ?#{S@[R*!|@.@~~.@@@T@_ TRfUC@L!!C!|#|c@!  E B@_TRSA[B{è#_aR  ?#{cU`@[@S*!Qq'm@  @*@CATAk~~"T/m f "&@!(!, !h3Rk@h3)h3h3s`TkT )("&@,* h3@/EmSA[B@'Dm{ƨ#_ ?#{\)c@kdG)!|S!|@@[ !\@b Kd@Kk6  T@kbT:@V B  ?k! 1 T>@`fR`r. #s'3c!~!#""!"(`$@b!!T,!  T@@;@4R?@ A4?@;@Z~ ;@RV~`4f@~ *A n@b.@hz_ivGAsk#s F*X5@kT@;@B?k;T@?@Bk?HT3@RsESA[BcCkD{Ȩ#_(@ BB a,_kA 1T@ ?#{@c@S8@s@[RT@~@@@*~/@!Kn TbRH!'m H'w@ky|~/m7m O@`k@)'@SH gaUCZK*|A?qxw T? q`T?q TR?kT $*)PgZa#(P"  `zjcP!BP_k @& @ezh!d @bz`A @@c( Tm@ -!#TA!!##v@A A * @ *A A AA l+-@A~@b@@@:~C4s djakaha*KD(" h!cja!?aTw@!x7Z42 Z!@bAA!DaTS@{c(T'FmkD/Gm7HmSA[BcCsE{˨#_a@&@# Axc@# c @>@c$ _$\)R@@B|`@_B| qBTTq TRqTF@@@$A@ _F@@@@ C@@@@b ?#{\)S@[,@~c@~@@u_#8@!K"~ 4t@H4 v@DT!@!4',sҖ, !@!xxB@4 @|~ӤR6@xx`hbhb^8!<q&Ú`j"Tc6(`j"BAT!@?kT'@v@q @T R!x`0 TkhT:@SA#@ [BcC{Ũ#_ @ *6@v5Rv@@R ?#{S[@c@t@@74Rr'm* .RH'+ k`Tav@b@!0 "T *,T (Tk"_k*T'Dm+@SA[BcC{ƨ#_a@t@*()!9! J ( 'Dm+@SA*[BcC{ƨ#_SA[BcC'Dm+@{ƨ#_b\)`@||~`vaRR  ?#{[@S@3˔˔D~|sDkTK~|ˁBBB|!b~@BB|ӡjbB@Ѡj"SA[B@{Ĩ#_aR   _$B(@A@TR @@T Ձ@)L#k@TL# _!`T@`_!T@AT__$BeU0@b@@?n_'@C~CA@T= @=N@DLYcpu!&*.3DLT\dlt|<=EMU]emu}5>B .5BYcltEOInput layer :%4d neurons, 1 bias Output layer :%4d neurons Hidden layer :%4d neurons, 0 bias Hidden layer :%4d neurons, 1 bias Total neurons and biases :%4d Total connections :%4d Connection rate :%8.3f Network type : %s Training algorithm : %s Training error function : %s Training stop function : %s Bit fail limit :%8.3f Learning rate :%8.3f Learning momentum :%8.3f Quickprop decay :%11.6f Quickprop mu :%8.3f RPROP increase factor :%8.3f RPROP decrease factor :%8.3f RPROP delta min :%8.3f RPROP delta max :%8.3f Cascade output change fraction :%11.6f Cascade candidate change fraction :%11.6f Cascade output stagnation epochs :%4d Cascade candidate stagnation epochs :%4d Cascade max output epochs :%4d Cascade min output epochs :%4d Cascade max candidate epochs :%4d Cascade min candidate epochs :%4d Cascade weight multiplier :%8.3f Cascade candidate limit :%8.3f Cascade activation functions[%d] : %s Cascade candidate groups :%4d Cascade no. of candidates :%4d Cascade activation steepnesses[%d] :%8.3f r/dev/urandomFANN_FIX_2.0 FANN_FLO_2.1 decimal_point=%u num_layers=%d learning_rate=%f connection_rate=%f network_type=%u learning_momentum=%f training_algorithm=%u train_error_function=%u train_stop_function=%u cascade_output_change_fraction=%f quickprop_decay=%f quickprop_mu=%f rprop_increase_factor=%f rprop_decrease_factor=%f rprop_delta_min=%f rprop_delta_max=%f rprop_delta_zero=%f cascade_output_stagnation_epochs=%u cascade_candidate_change_fraction=%f cascade_candidate_stagnation_epochs=%u cascade_max_out_epochs=%u cascade_min_out_epochs=%u cascade_max_cand_epochs=%u cascade_min_cand_epochs=%u cascade_num_candidate_groups=%u bit_fail_limit=%u cascade_candidate_limit=%u cascade_weight_multiplier=%u bit_fail_limit=%.20e cascade_candidate_limit=%.20e cascade_weight_multiplier=%.20e cascade_activation_functions_count=%u cascade_activation_functions=cascade_activation_steepnesses_count=%u cascade_activation_steepnesses=%u layer_sizes=%.20e %d scale_included=1 scale_mean_in=scale_deviation_in=%f scale_new_min_in=scale_factor_in=scale_mean_out=scale_deviation_out=scale_new_min_out=scale_factor_out=scale_included=0 neurons (num_inputs, activation_function, activation_steepness)=connections (connected_to_neuron, weight)=(%u, %u, %u) (%u, %u, %.20e) (%d, %d) (%d, %.20e) %u %u %u FANN Error %d: %sUnable to open configuration file "%s" for reading. Unable to open configuration file "%s" for writing. Wrong version of configuration file, aborting read of configuration file "%s". Error reading "%s" from configuration file "%s". Error reading neuron info from configuration file "%s". Error reading connections from configuration file "%s". ERROR connections_so_far=%d, total_connections=%d Unable to open train data file "%s" for writing. Error reading info from train data file "%s", line: %d. Unable to allocate memory. Unable to train with the selected activation function. Unable to use the selected activation function. Training data must be of equivalent structure. Unable to use the selected training algorithm. Subset from %d of length %d not valid in training set of length %d. Index %d is out of bound. Scaling parameters not present. The number of input neurons in the ann (%d) and data (%d) don't match The number of output neurons in the ann (%d) and data (%d) don't match The parameters for create_standard are wrong, either too few parameters provided or a negative/very high value provided. Layer / Neuron %dL %3d / N %4d %s w+w%u %f %f %u %u %u %f %f parameters(%u %f) FANN_VERSIONFANN_FLO_1.1 FANN_FLO_2.0 num_layers=%u num_layerslearning_rateconnection_ratenetwork_typelearning_momentumtraining_algorithmtrain_error_functiontrain_stop_functioncascade_output_change_fractionquickprop_decayquickprop_murprop_increase_factorrprop_decrease_factorrprop_delta_minrprop_delta_maxrprop_delta_zerocascade_output_stagnation_epochscascade_candidate_change_fractioncascade_candidate_stagnation_epochscascade_max_out_epochscascade_min_out_epochscascade_max_cand_epochscascade_min_cand_epochscascade_num_candidate_groupsbit_fail_limit=%f bit_fail_limitcascade_candidate_limit=%f cascade_candidate_limitcascade_weight_multiplier=%f cascade_weight_multipliercascade_activation_functions_countcascade_activation_functionscascade_activation_steepnesses_countcascade_activation_steepnesseslayer_sizesscale_included=%u scale_mean_inscale_deviation_inscale_new_min_inscale_factor_inscale_mean_outscale_deviation_outscale_new_min_outscale_factor_out(%u, %u, %f) (%u, %f) Max epochs %8d. Desired error: %.10f. Epochs %8d. Current error: %.10f. Bit fail %d. * Max neurons %3d. Desired error: %.6f Neurons %3d. Current error: %.6f. Total error:%8.4f. Epochs %5d. Bit fail %3d. candidate steepness %.2f. function %sTrain outputs Current error: %.6f. Epochs %6d FANN_NETTYPE_LAYERFANN_NETTYPE_SHORTCUTFANN_STOPFUNC_MSEFANN_STOPFUNC_BITFANN_ERRORFUNC_LINEARFANN_ERRORFUNC_TANHFANN_LINEARFANN_THRESHOLDFANN_THRESHOLD_SYMMETRICFANN_SIGMOIDFANN_SIGMOID_STEPWISEFANN_SIGMOID_SYMMETRICFANN_SIGMOID_SYMMETRIC_STEPWISEFANN_GAUSSIANFANN_GAUSSIAN_SYMMETRICFANN_GAUSSIAN_STEPWISEFANN_ELLIOTFANN_ELLIOT_SYMMETRICFANN_LINEAR_PIECEFANN_LINEAR_PIECE_SYMMETRICFANN_SIN_SYMMETRICFANN_COS_SYMMETRICFANN_SINFANN_COSFANN_TRAIN_INCREMENTALFANN_TRAIN_BATCHFANN_TRAIN_RPROPFANN_TRAIN_QUICKPROPFANN_TRAIN_SARPROPMbP?MbP9B.?PP?`ff? M$\H---]int7 ./J/.---/n---7 7 7 7 ^**-/P   7 <7(_ ZFFFFCFCP1 3C 6  7  8  9 : ( ; 0 < 8 = @ @ H A P B X D` Fh HCp ICt J x Mg Nz O Q Y [ \' ] ^ _  `C b,7Z`+QZCG<QQ"C<G</<*<75*WVWRnC     /mVWRnM@CAPG</@BaP Rn     CAG</B Sn.CA>G</.%> Sn7vH> SnYl> a'bC nn.nc m W  . . . $ $ ( $ 0 n8  n< n@  ) H . P  ) X ` ;nd > ) h Bnp G.t Knx R J| V ZZ ^ b j. on u. zn ~n  J  J n n n n !3 n  ) n n  ) n n . .&.&.&.&. &.&.&.&.&. &n$& ) (& ) 0& ) 8& ) @& 8 H& 8 P&  8 X& 8 `& 8 h& 8 p& 8 x& 8  P85O 7m 8W 9 ;n <n =n > ( ? 0/ L n nMsum J  J  J  k/T L   / T L$ m W  J k.L 0t 3n 5n 7J--- * d) eC f .  R.<LannRMRj Ru;0p <annRMRj RuTLDjU C. iUCP.; DiUCB  PL P ###)#TLiUCgjU C.;T5<;RuTL{) |) }) uu[[[[[[T[MSE ..J.VJJJkn) DiUC&@I5(&@|.L."559B.?##{) |) j}) ~uuuJ[[[[[[[T[MSE ..J F V&@H.M!P0=!P ]F RV(sP 3$M!P0=!P#P QR0S0#P Q~R0S0' (&P>P#=P6 TL {)  |)  })  Ru u$ u( [, [0 [4 [8 [< [@MT[DMMSE .H .L>Q*6= MannRM Rj  TL Ru>@*!."annOl ʅu;0,<annOl ʅuL0j C.iCP.0iCB PLP ###)#LiCTjCUx;<ʅuL) ) ) u[[0mu[[wJJ.Jkn )  J J0iC##) B) j) uuwJJ[[mu[[M!P0=!PFN V(?P 3$M!VP0=!nP#P QR0S0#P QR0S0' (P P#=8 L )  )  )  ʅu u$ [( [,Nmu[0 [4>*= NannO l  L ʅu>*!R.f "annRMRj Ru;0<8!annRMRj RuTL0jU C.iUCP.Z0iUCB 'PL?P ###)#TLiUCTjUCUT;|+< RuTL|) }) ~) [[[[uJ.JJVJkn) 0iUC##|) B}) i~) J[[[[uuM!P0=!P]9F mV(P 3$M!P0=!P#P QR0S0# P QR0S0' (@ PX P#=8 TL |)  })  ~)  Ru [$ [( [, [0 u4>f * = 3!NannRM Rj  TL Ru> *3!WM!CW]!C! .|%"ann K h  u;0#%*&= b&Nann K  h  L  u>(&*b&H&<Iexp_5&52.&.Ilogh5&5Isin@5&5Icos>5&5i C '\F82 C*'<<21 CK'\CF825a'52z'\Xr'\Xn'\Y?'n2 C(W2C C (%(* (HWF(FFIpow5_(5524 C{(C<8H(H(2>.(.2@.(.2_.(.j= CY)H*)k.a)(annL%i Din pT*annR) n *#QQ{(9*Q R2$?JPPQ; ) *ann n *ann p+annP3 n |+#QQ{(+Q R2$?JPPQ; 3 +ann n +,ann  i,annPnQ n ,ann  ,annPnQ n -ann  W-annPnQ n -ann  -annPnQ n .ann  F.annPJ@ J y.annP  .annPJ@ J .annP  )/annPnQ n b/ann  /annPnQ n /ann  0annP.@ . K0annP  0annPnQ n 0ann  1annP.@ . 41annP3%nS1(annR9{1(ann*$ K2annK-PKE$ MnNnOnQnQniRCT$ U U" U1 2@3ann214$ 5 5#. 55 6ni6$n $ 4ann0H$ CCiC$ {(3Q#JPQ;  J5ann4Q injnn Jn )  41#5E1B ;5P6S5P5k5P5Q0 6ann1Cn  41/6E1+J96PPQ?+ R6PP+q6PPSsPPRr -8ann-0/ 0 1 2 i3nj3n3n4n5 J5J5JJ5+J54J5AJB5GJ6 ) 6) 6*) 68) 7 ) l411/f8OE1!8PQ@M.AL.vP@M.AJ.BL. Ch:ann(E  J J Jinnnn41 9E149PQ(JPQ; mC02<annm-tnt$nunvnwnxnyn}nnnninj!nk$n'n . 41u ;E1>;PF(2<$<PR@H.< U <annU0UBnUZnUj.W JiXnYn(( &C>ann&*&"ann.@n{(k>Q 3${(>Q{(>Q{(>Q{(>QJPQ;!.dG@"ann-J ini?F ?VB ?PL?P?P?PRr @PJ,@PQ?PSs!C(B"ann%B N......innnn\A\\'\\\4FV\B\\4\$\\4FVBP>BPQ>PQ:D"annDU<nn. !kD#*0D#EE*JQ1RQ*(7DPQ \UDPQ'PDDPQRS@H.):0I"ann0D0a 1n2n3.5.i6n7n8CFC EV\D F\\'\\\S1mqF`1#m1@3[FP{1PFu@FV8uFG_(P1Q 8MMGG_(P1Q RS8RGG_(P1Q 8VGG#P:8<:HG_(P1Q @H.5G@`HPQ@H.:xHP8HPQG@HPQ@.G@HPQ@.+2IPPm7IPQRS@H.TG@aIPQ@.+2zIPPG@I@.G@PQ@.:J"ann.in8%DJG_(P1Q8'JG_(P1Q?8)$G$P J J .J : j,R j$J jG8nap l K\o m B nR] o W( KC7$PQU 9Lpd*'PQ1R ST~1~L$\~ L$\$PQ R1S UU VMpd#$P Q1RKU Mpd*'Q1R ST~1~zN$\1~}NN$\1~N$\1~N$\1~/O$\1~zO$\1~O$\1~P$\1~[P$\1~P$\1~P$\( &QC7( [QC7( QC7( QC7( QC7( /RC7( dRC7l&|RPl&RPl&RP({(RPQ#CRp<: _4zS _AJ?U cpd*'Q1R : US UCJq URWQ! I@rT IAJ KT M9TT?T NT(P! B-m T BOJJ 9T 9BJJ 2T 2AJ30CU(ann00%0M CUannC n,$qUQ0R,$UPQ0RM ChVann V . . . .WuVPQ@@.AA.VPPQQ@B.AC.O ChWann V.. nn,$oWPQ0R,$WQ0R&,$WPQ0RMJPQ> C`Yann V.. nn,$XPQ0R,$XQ0R&,$XPQ0RMJPQ> xZannx>x[ z n TYTT)Je[YPZYPJPPQB bZannb<bY d n TkZTT)JI\ZP[ZPJPPQB Gte[annG?GO) I nJQB ,t[ann,>,N) . nJQB tI\ann=M)  nJQB t\ann<L)  nJQB3C\(ann-%8.  ^8WJ<nn&ni0nj3nn &]PQ RSTc&^PQJD^P0Q:RS\^P&z^PQJ^P0Q:RS^PJ^P0Q:RS1# $) $7_S fnQ $) $_R enQ 1 _`^n8n8n;~`in cB`PQRZPQRr~`nnn) ) _` w1 bwVnwmnw) wnw) iynz a5$R a5$RxcPQR e1 ce^neune ene ignh pc5$R qic5$RcPQR )1 $=e)Pn)gn)n+ ) +) i,n- J6gdJ(dP8)dPQ8)dPQ8)dP  Q4)eP  Q4JeQ;JQ; C0pi9 FWX<n3nndnninjnsCn Ufpd*'PQ1R STUp Ufpd*' UZgpd*'PQ1R U gpd>$P:Q Ugpd*' UThpd*'PQ1R U  hpd>$P:QUipd*'Q1R 4Upd*'Q1R 3Ci%6 %H<%n%3nCW %n  jX %n BjW %n {jT r0 ms poss(nt!nivnw ) w) x JXkJ k5$PRp2$ l5$PRp2$(0lP8)MlPQ8)jlPQ8)lPpQ4)lPpQ4JlPQ@RSJlPQ;JPQ; 20 o3 i5n6 ) 6) 7 J@mJ ]%n5$PR2$ fn5$PRx2$(nP8)nPQ8)nPQ8)nPQ4)oPxQ4J/oPQ;JYoPQ;JPQ; 0 04s^ + in ) )  JHpJ p5$PR q5$P"Rl 2$ !q5$PR "q5$P"Rl 2$( rP8))rPQ8)GrPpQ8)mrP  Q4)rP  Q4JrPQ>JrPQ;rPJsPQ;sPJPQ; VuK J,J xmt1y$yy yx#5>y`5Kyd{3tP|Q{RrSsTtwP|Q{Rr@@.BB.CC.'x1y$yy yx#5>y`5Kyd{ uP|Q{RrSsTt+wFuP|Q{Rr@@.BB.CC.# vR J-J'x1y$yOy yx#5>y`5Kyd{IvPxQyRrSsTt+wvPxQyRr@@.BB.CC.# wQ J,J'x1y$yOy yx#5>y`5Kyd{wPxQyRrSsTt+wwPxQyRr@@.BB.CC.# xC VnmnRJ@$J7JBJJCdatnn JJJ&J9Yy%# %6n%Mn%J%$J JJ "JtyT 6minJ`6maxJd{yRrSsTt# "JtmzT 6minJ`6maxJd{_zRrSsTt# x"JpzxS 6minzJ`6maxzJd{zRrSsTt# q"Jp{qS 6minsJ`6maxsJd{s{RrSsTt# ]7|]) ] iiii#ii*(oPQ =ePQRS1T'JPQ8R!2C2D 2V<?pi4 iiii#ii*(PQ =eӌPQRS0T0'JPQ8RK0 7V<! "W  vannP.@ . annP  annPJ@ J annP  YannPZQ Z ann  юannP.@ . annP  CannP.@ . vannP  annP.@ . annP  'annP.@ . ZannP  annP.@ . ̐annP   annP.@ . >annP  }annP.@ . annP   ann P .@  . "ann P   aann P .@  . ann P   Ӓann P .@  . ann P   Eann P .@  . xann P   ann P Q   ann   -annPQ  fann9(annO%J $ $ XannNJC $ $ ' JQARQ |#annHJCC '"F9,#S ~ ΖJPPQARQ'a rJQA Jann09CDC '"F9,#S ~ AJPPQARQ'a rJQA9(annO%J $ $ $ 9A(annN%/k $ $ T$annMkC $ $ ' JQA |annGkCC '"F9,#S ~ LJPPQA'a rJQARS kann/8CCC '"F9,#S ~ ƜJPPQARQ'a rJQA3|, a(ann|I%|[n%|fC~$ 3q, (annqO%qg$ %qrC3f+$ Ɲ(annfG%fPC9U"(annUN%V/kX X$ Y$ Z$ S aannSPS.@ S. annSP R ҞannRPRQ R  annR 8ann/AnUnpn ) e ) h )   )   J J J *J 9J..t.75....T.MSE..in F V&4@h.&N@H5(&@|.t."559B.? ann/An\nR ) S ) V )  )  JJJ*J5J....in q@|annq1qCnrnr4nSt ) Qu ) Tv ) w ) wy JyJyJy!Jy-J{.|.mu}.~.in9_(ann_-%_?n%_Vn%`nb ) c ) d[Dien ann+i n! JP 1wk_,$Q0R2$ PX wk_,$Q0PHvwk_,$Q0R2$)PQ4)PQ4+JΦPPQ;(P2$ Jann,D$ $  " 0 @.  Jinn  )  ) ) )/Q4JPPQ; rannr't t" t0 u JuJu!) v$ iwnxn{[I|[} ~$  )  ) ) )Q4JPPQ; #Gann#*% Ji&n'$ ( (" ). + ) , ) - ) .G/0$ v :t"ann$5)  JJ() 7)  GGP wk_,$Q0PpQ&vĬAI.)۬Q4JPPQ;J@ann9!%n F"annDK.c@ann8!#) "ann:K) )  J )  )  J ׮ˮ#B PQQVKn J@annn(nA nSJp.J]!@ann]5]F) ^) !S Jv"annS)S;nSZJTJ)()((((@@.A..(@@.A..+(J@A.@.@.A.(@A.@.@.A.!$ J0$0n%J%*J"sum%;JJP0Q<&&@ H.B.5&H@ H.B.5&j@ H.B.5&@ H.B.5 -W?<n~n~'n~i5n8n~Fn~n+n J)J.. % 1 @.  ) $ ann #ʘט f s#Ɲ4ӝ  #&3&BPQ R~STU~VWT&sPQRJPQ5R' PpƵP&PQRJP0Q4R SU1P&[PQRSJ~PQ6R' P' P# pXp)Wp;<rnrnr'nir5nr8nsnwny y% y1 y@. z ) {$ ann|~#+'PQ1R=S)ٸP=Q1 'PQ R= '-PQ R= 'WPQ R=(oP&PQ RT&ӹPQ R&PQ R &)PQ R&TPQ R&PQ R&PQ R&պPQ R&PQ R&-PQ R&YPQ R&PQ R&PQ R&ݻPQ R& PQ R&5PQ R&aPQ R&PQ R&PQ R&PQ R&PQ R&=PQ R&iPQ R&PQ R&PQ R&PQ R&PQ R&EPQ R{(&pPQ&PQR&PQ R{(&PQ& PQ&'PQ&KPQR&wPQ RpP&PQ&ݿPQRSTUP&PQ&KPQR~S2$?"JzP0Q4R SJP0Q4' P(P+PPQQJP0Q4R S(-PJOP0Q3R#JsQ;JP0Q4' PJPQ;' PJPQ;' PJAPQ4R S' YPMqP&PQ&PQ&PQ&PQ&PQ&%PQ&CPQ&aPQ&PQ&PQ&PQ&PQ&PQ&PQ&3PQ&QPQJPQ4R SJPJPQ4R SJP0Q4RSJ!PQ4R SJQPQ4R SJPQ4R SJPQ4R SJPQ4R SJPQ4R S!RC K"annR(R4WRF<SnU$ VCW W" X ) Y. iZn^n_n` Janb JUipd#$P Q1R=SUnFpd#$P Q1R=SUpd*'PQ1R Upd*'PQ1R UWpd*'PQ1R Upd*'PQ1R Upd*'PQ1R Upd*'PQ1R Upd*'PQ1R UNpd*'PQ1R Upd*'PQ1R Upd*'PQ1R U_pd*'PQ1R Upd*'PQ1R Upd*'PQ1R Uppd*'PQ1R Upd*'PQ1R U&pd*'PQ1R Upd*'PQ1R Upd*'PQ1R UOpd*'PQ1R Upd*'PQ1R Upd*'PQ1R Upd*'PQ1R Upd*'PQ1R URpd*'PQ1R Upd*'PQ1R Upd*'PQ1R Ucpd*'PQ1R Upd*'PQ1R U*pd#$P Q1RMSU~pd*'PQ1RU pd>$P:QU?pd*'PQ1R Upd#$P Q1ROSUpd*'PQ1RU<pd*'RU pd>$P:QUpd#$P Q1R<SUVpd*'PQ1RU pd>$P:Q Upd#$P Q1RASU~pd#$P Q1R>S Upd*'PQ1RU .pd>$P:Q Upd#$P Q1RCS Upd*'PQ1RU ?pd>$P:Q Upd#$P Q1RAS Upd*'PQ1RU Ppd>$P:Q Upd#$P Q1R@S Upd*'PQ1RU apd>$P:Q U pd#$P Q1R?S U pd*'PQ1RU  rpd>$P:Q U pd#$P Q1RDS U (pd*'PQ1RU  pd>$P:Q U pd#$P Q1RBS U 9pd*'PQ1RU  pd>$P:Q U pd#$P Q1RAS U Jpd*'PQ1RU  pd>$P:QUpd#$P Q1R@S U$hpd*'PQ1R Upd*'RU - pd>$P:Q U<opd#$P Q1R*S UJpd*'PQ1R UCpd*'RU Ripd>$P:QUpd*'PQ1R Upd*'PQ1R Uzpd*'PQ1R Upd*'PQ1R 4Upd#$P Q1RASK@C@ann@%@6<@WnBCCW!8C"ann8<8M<?K: sg[#*(cPQ PQRS1'JPQ2R!1C"ann131D<?K3 sg[#*(PQ PQRS0'JPQ2R! %d G<ann"#W*(aPQ PQ'JQ1Ru'#fp*W6foo+nD6t,H8 #+'PDQ4R1S*(P Q (PHQ0'P'(PHQ0#[[9p(ann- Mann)$  nn)P QH)2Q4JPPQ; CTann&in)PQ4)PQ4)PQ4) PQ4))PQ4)FPQ4)cPQ4)PQ4)P0Q4)P0Q4)P0Q4JP0Q;' P)P0);P0Q4)P0Q4 D3nann J J(P )P:Q4)P4Q4)8PQ@JOQ;(gPJ~Q;(PJP0Q;(  annPQ  7ann ann;K) '5$QQ sann;K) '5$PQ `ann:n,nAJ@ $  idxnnn dann@7nidxnsP@@.= annDa $  idxnnn cdGannc>PcQGe$ 4Qhbn HxannH?PHRGJ$ #Mn'QOb C%nannCF >. Qann>DP37/p(ann7R 5n ann53(%n(ann(I3&n(ann& %n  ann% ann@$ in 8G_(P1Q  8G_( 88G_(Q8G_(P1Q   8G_(P1Q  8GG_(P1QR8G_(P1Q  8G_(P1Q  8.G_(P1Q  8wG_(P1Q  8G_(P1Q  8 G_(P1Q  8RG_(P1Q  8G_(P1Q  8G_(P1Q  8-G_(P1Q  8vG_(P1Q  8 G_(P1Q  8 G_(P1Q  8 QG_(P1Q  8 G_(P1Q  8 G_(P1Q  8,G_(P1Q 8G_(P1Q 8G_(P1Q 8+G_(P1Q 8G_(P1Q 8G_(P1Q 8*G_(P1Q  8sG_(P1Q  8G_(P1Q  8G_(P1QR8YG_(P1Q  41E1'8G_(P1Q  -ann<Y  JJdatnnn+n$  " 0 .F(((PP OannOAQ$ R iSnTCUVn VV;; 8`G_(P1Q  8cG_(P1QR  #%51$ " 8e"G#P:Plwk_,$PQ.R 8G_(P1Q T(P )(JQ; b%| b<denf$ f($ gnh h& h6 iinj j, kn( { C7G$R 5$ G5$41 "|E1  5$R /5$  r % 5$R 1 85$R = 5$RI 5$RT(#P{({((UPMmPpPUP(P(P(P(PJ PQ;' JD PQ;Ja PQ;' '  M' annMAMPJNJP ) Q ) (PP9+B (ann+7 /#) [ ann/:/K) 1 1" 10 1;. i2n2n2#n2.n3 J3) 4 ) 5$ 5 $ 6n7 J: G J(((((((( % Mn' $  $ ,$ ann " innnT Pp PU P(J Q;' ' u %XMGn8anniCCDargC K~G)PQ4[ PQ(PJP0Q;(,P#JQ;!w%wD.xny% {$ { $ {-$ ann|} }" }0 }@ nni0nj3nn n1nn'nnn0nT\PptPUP(((((((' JQ;!O%`mO>.Pn8annRBS K~iTCUC0argVCWG)PQ4M@H.PQ(PJ4P0Q;(LP#JQ;KI%IMnJ' ! %\( Gn8ann"B# K~i$C%C0arg&C'GmB}M@.?PQ)PQ4(PJP0Q;(P#JQ;AMPMMFA999C9A""" "A A8'@__n6\ ATCUT F8AMC~M\My`5Kyd{PxQyRrSsTt+wPxQyRr@@.BB.CC.# \X\$\@4\$\\4FV T $TP T4T( U|wb)?PQ4)\PQ8JPPQ; KO[gs*(PQ "PQRS'JPQ2R DB PQQLPQ PJPP XSJPPQARQ aTrJQA pi iiiiii*(7 PQ =eg PQRST'JPQ8R T` TTJ QCJQD m R!}M@.?PPQQ d<"*0!EE*JQ1R*("PQ \."PQ' #,9FS ~ "JQA'a r J7#$JP S18#`1m1@3#P{1Pp 41#E1,,,,v,,w ,,,,,,,,I~1BH}4: ;9 IBH}H}: ;9 IB4: ; 9 IB 1RBUX YW  : ;9 I8 .?: ;9 'I@z .?: ;9 '@z : ; 9 I8 : ;9 IB4: ;9 IB1RBUX Y W 41B: ; 9 IBI: ;9 I( 1RBX YW : ;9 IH}4: ;9 I1RBX Y W 4: ; 9 IB4: ;9 I4: ; 9 I: ; 9 I !I .1@z!.?: ; 9 'I@z": ; 9 IB# U$1%: ;9 I& :!;9 I8'1RBUX YW (: ;9 I)H}*7I+H},.?<n:!;!-$ > . U/&I04: ; 9 I11X! Y W!2.?: ; 9 'I<3.?: ;9 'I !41RBX YW 54164: ;9 I7: ; 9 I89.?: ;9 ' !:.?: ; 9 '@z;.'4@z<I4B= 4> !I?1RBUX Y W @: ; 9 IA.?: ; 9!'I !4B4: ; 9 ICID4: ;9 IE41F I8 4G!I/ H.?: ;9 'I<I.?:!; 9!'I<J.?: ; 9 ' !K.?: ; 9 'I !L :!;9!M : ;9 I8 N :!; 9 I8 O1P : ; 9!Q<R>! !I: ; 9!S>! !I:!;9!T4:!; 9! I!U V4: ; 9 I?<W.?:!; 9! '<X.?:!; 9!n'I<Y.?:!;9! '<ZH}[.?:!;9!@z\% ]$ > ^ _ : ; `: ; 9 a: ;9 Ib'Ic : ;9 d&e4: ;9 I?f4G: ; 9 g4: ;9 I h4: ; 9 I i.?: ;9 n'I<j.?: ;9 'I<k.?: ;9 'Il1UX YW mH}n4: ; 9 Io4: ; 9 Ip!I/q: ; 9 Ir's4: ;9 I t4: ;9 I u.?: ;9 @zv.?<nw6PcPcЎQЎЏgЏQgQӎRӎeRePܸiܸPiPpffpeecc܎PffPf܎0Qq0d0P d P dp ppppp$p(p,p0p4p8p<pppp  H  H   H N N D " " " " " " D D D  H A  0 p3% p83% p83%# 0 p# px# Qkkkiii00ȏhhhЏgggЏЏЏ7575ЏЏЏЏ ЏKKKHHcccԑc܊P܊ȍcȍPcQgQgQR̍e̍ReеPiPiPpԷffpeecȶcP̍fPfЌ0Ќ،d،0PcPcBAC.B."AC.B."BAC.B."BCCCCCC@@@0px3% px83% px83%#p#px#RAvq"vq"Avq"Avq"ADuq"uq"Duq"Duq"D؍kkԍii00Ѝhh܍II܍HHcȍcȍPcPcPcԇQԇgQgQׇRׇeRe˳P˳iPĵiĵеPȳ˳pȳfеfȳ˳pдeеeccPfPf0d0PcPcAuq"uq" uq".@.A uq".@.A uq".@.BB@@0px3% px83% px83%#p#px#Rjjhh00ggcĉcPcPcPc؄Q؄gQۄRۄeReP̱i̱PiPpffpeeбܱcܱcff0dPdPdhtt@ht0t|pv3%| pv83% pv83%#t|p#|px#QQ#gghhHHccPcPcPcPP̃Q̃dQQdQӃRӃR r 2$dQQP#PPPPP؂c؂PcPPQ؂d؂QQdQÂRÂRЂ܂ r 2$Ђ؂d؂QQЂ؂؂P#PPPPЁ؁P؁܁PPPPPPPPPPPPPQQ` sxqH^T\]SQq0q  q"RrRVvVYaPPVTUW0SpqS0qw>0>>g>>??0??g???@0@@g@@@@0@AgAAAA0AAgAABB0BBgBBCC0CCgCCCC0CDgDDFF0FFiFFFGiGG240440HH0II0 2404GHGHHHH0II0IIH 2333C44C44C44HHCIIC 240440HHP 233333A4422 22Q22S22d44 44Q44S44d44 44d44 44d45 45d55 55d55 55d55 55d55 55d56 56d66 66d66 66d66 66d67 67d77 77d77 77d77 77d77 77d78 78d88 88d88 88d88 88d88 88d89 89d99 99d99 99d99 99d9: 9:d:: ::d:: ::d:: ::d;; ;;d;; ;;d;; ;;d;; ;;d<< << <<P<<d<<d<<P<<d<< << <<P<<d<<d<<P<<d<< <<d<= <=d== ==d== ==d=> =>d>> >>d>> >>d>> >>d>? >?d?? ??d?? ??d?? ??d@@ @@d@@ @@d@@ @@d@A @AdAA AAdAA AAdAA AAdAB ABdBB BBdBB BBdBB BBdBC BCdCC CCdCC CCdCC CCdCD CDdDD DDdDD DDdDE EE DEPEEdEEdEEPEEdDE EE DEPEEdEEdEEPEEdEE EEdFF FFdFF FG FFPFFdFGdGGPGGdFF FG FFPFFdFGdGGPGGdGG GGdGH GHdHH HHdHH HHdHI HIdII IIdȿPȿePeQdQdȿ11ȿddȿeeQc̿PQcPPPePeQdQd00ddeeQcоPо׾Q׾cPPЏPdPdQcPcPPc01P11S11c12P11P11S11c01101401D114PcȔPȔؔcؔPPRȓPVȔ̔P0TTȔД00QȔД0P܏c܏Pc0Ѝԍ q2%ԍԍ q42%ԍq42%# p2% p42%p42%# q2% q42%q42%#Ў؎0 q2% q42%q42%# p2% p42%p42%#ȏ̏ p2%̏̏ p42%̏ԏp42%#0Đ0PdPPccPcP c//P//P//P//P//Q//Q//p 2$// r 2$//R//Q//Q//p//P//P//S//P//Q//P//Q//s 2$//R//s//Q//P//Q,,P,.[,,Q,.V..Q,,R,.],.X,.^--Y--yh-.Y--y,,0,.Q,,0,-_-.Z.._..P./e//P//P..Q./Q//Q..R./R//R..0..Q<<<..Q<<<<//0**P*,^,,P**Q*+]++Q+,],,Q*,Z*,_++[++{h+,[++\**0*+R++r+,R,,0**0*+b+,V,,b,,0))Q))q|)*Q**q|**Q))R))rp)*R**rp**R**P((Q((q()Q))q))Q((S((sp()S))sp))S((R()U))R))U))P((P((P''P''P''P''PP'c''P''cdp!d''d%%0%&d&&R&&&&0&&d&&R&&      c''c ! %& !! !! !! !! !" "" "" "" "" "# ## ## ## ## #$ $$ $$ $$ $$ $$ $% %% %% %% %% && && &&c&' бPбePPeĵPQĵQIIIHHH00 pr2% pr2%# pr42%# pr2%ܳddĴĴ̴dhhigfffHHPcP܌c܌Pd،dȊghg،g܉0ddЋS،S@55?C%@55?C $  $+(@55?"C$@55?"C $I $-(+wr".55?"C $I $-(%@55?C $  $+(،,wr".55?C $  $+(PjP،j،Pef،f،ePcc؉܉   Ȋ؊fȊ؊.Ȋ؊jЋ PԯdԯPdPdP̯ccPcPP̰c̰ϰP԰ܰcܰ߰P p0p(@ 0(@RܪrpܪRSȪQȬ rxrpHȬ۬080@HTPphPQqhQ0p2%īp2%#ī̫p|2%#̫0p2%p2%#p|2%#ȭ0PpPȭSȭTp3$v"sHǧǧP 2$RP 2$RPĩĩcePȬrxrpH 2$Ȭ̬r0@H 2$̬۬080@H 2$۬۬HPphQqhĮeîîPePePȯeǯǯPаPаePPePа@аI@.аAаA.ddc|cc P gPg Q P Q ff hhpRRRR  0 pQ2% pQ42% pQ42%#Pp|P0rp<>>>>>>>>>>>????????????????@@@@@@@@@@@@@@@@@AAAAAAAAAAAAAABBBBBBBBBBBBBBCCCCCCCCCCCCCCCCCCCDDDDDEEEEEEEEDDDEEEEEFFFFFFFFFFFGGGGGFFFFFFFFGGGHHHHHHHHHSTTTTTTTUU[[[[\\pppppqqqqqqqrrrrrrrrrsssssssttttuuuuuuuuvvvvvvvvvvvvvvwwwwwwwwwwww{{{{||||̀̀Ԁ؄ććЇЇ̆ąЅЅЅԅЈЈ؈Ć؉܉̉ԉЋЋ؋ħԧا̬Ԭجĭȭحܭķȷ̷зĒĕĖ̖̘̘ęșؙ̙؞؞ܞĠȠ̠ĬԬܬбȵȵе̶̶̷غܻ̼̼ĿĿȿȿЂԂ؂܂ԏ؏܏   3M  %#>!!#!!&< . r J# <M   ' Y. ! z.  %_  z. !< _<%4 z A #%  0"!!#!! ' 0 2!   <  ! y.   ! . S  J  5  >  ! X.b  <M  ; E. = a. _  f  =  C .   Zf3 &!"!!#!!&""   .  .#" 0 y.!% . D J   y. ' 1; -      l  ! $' 9 Y  <M . :#s.: J mf: #s :  mJ:< m .:  m :  m ##y  1"!!#!!& ): /.'y ""  .   1_ ! 2!  % 3Z." ".' % Aw. L <#.&X1X1 ;f>XIXI<I<I.< % (X(J(f< = @X@t ? A.? B<Bt'.).' *<*t H Hf< 0 0X. <!"[    . " <.0. ". . #. #. (. !. *. . 3. 5. /. &. +. ). (. '. ,. *. )! - .v  v   v. . v.   v  C 0 C0 $3 v $ . v.<P  v P 0C0.0v$  v  .$#90v <P CP 0 C0 . v X %30  v L < v<  v  v X v  v X vL  v X vJ  v J . v < vN  v N < v . vM  v M <  v . v  v X v  v X v  v X v  v X v  v X v  v X v  v X v  v X v  v X v  v X v  v X v X v X v X v X v X v X v  v X v  v X =v?  v  < v .; ? v. /v'  v  < v .= @v X %}y- y  . v 1  1}. y . tJ  /  1! "%0>  1# 1!?!+ ![!60 C/C! . y(  6Lm Lm0 /Cn C  > "/h "!  Lm0  Lm0 ?!60 .0$6 u <Dt.'Ny 0 //O  -#D$0'Ny 0 M!5/ x "/Z&jJ .u  Z j  <F; .  0=2 >0*0:K%2y Z"3"Z%>(#!Ly2   X^u ^u ;.KV/ .J<!5 n /.v "/I& s<I  F; .  0=2 .-"Y 2H0: Y I %Ly 2IY<1020%2  ^u ^u ;.KV/ .SJ!f NJ-2.<)J!t.  t      !t  t        . <!/#!=P Z, " "> !   sX    0 =3>  . x6e .!Jr<n#d  . '7 f  1 0A6 ?1% 01>"%:">%%Yw.6 M,1 ."1 . .(h x o._  . 'iw  9  9J  .  f  f f  f f f f  f  f  f  f  f  f  f  f f  f f f f f f f"~I ~... ~ I<.. ~ .~[ ~ [J7. ~ .~_ ~ _J9. ~ . ~ f~ t ~ =~ ~ J ~ ;>~ <~ f~ X ~  ~.XM ~  M$. ~ .=?~~I  ~ I< ~   ~ = <~ <~ t,4# ~ 4 ,?~4 ~ 4<  ~..H,A~ <"0~ X ~ ~ f ~.  ~ ~ <  ~ .<~ <~ X ~  ~.  ~ ~ <  ~ .<~ <~ X ~  ~.  ~ ~ <  ~ .<~ <~ X ~  ~.  ~ ~ <  ~ .<~ <~ X ~  ~.  ~ ~ <  ~ .<~ <~ X ~  ~.  ~ ~ <  ~ .<~ <~ X ~  ~.  ~ ~ <  ~ .<~ <~ X ~  ~.  ~ ~ <  ~ .<~ <~ f, ~J "< \ \ ^  \ ^ ^<   `b.` b b.   .7J7 7  J ,  ,   .   .  77<7. 77<7. . <  <X7X7 7  . X  $X7X7 7  "      <# &X1X1.IJ;f>XIXIfN NtN<6J%(X(=J@X@0J0J?JBXHHX'X*X*WJW J! < ./#.# #%?4J0$-"*R v. !1.ND.< " < !#+#3*w "Bu*<  . ^<'X! &z "  &#! 3""! !+  # !! "   "K %C! +!% ' t !$# w ""!+$  " 6 l   Q.-  "Q   m. !! % ! .  . "0 z.N 7 ( A? !@   J  z.  .2 $   p    n.  9./ !  $ s   x.! " "    z.o. z o. / # $!2 !  < !/(^" ! ]# !\  & c  5> !XX <v .r  % t ! !p  " w  #!o  $"{ {."  < .< {  63 *h.6 6>V6""% 06+  % # " .  1 <!S- ! R. R  0. ^J 01..&/=!# ].Y <6\ 6.\ Hf= Q  $H  <  . = < @!""00!5>N#"N5G+0 6<!%"!6>O""O622!""00!5>N$"N5G+0 6/<!%"!6>O#"O620  . =  . = < = < = < = < = < = < = < = < = < = < = < =  . = < = < x<!" ?1!   !.  !. ". ./! -  ! -!  ! .   \  1'.  >-  /0# "5/5!; !"!#4 4# "7/- = !#!$5 'u.  < ^!#   "0.0 ! > &7 ",  ."u  ".  B0_Z,0= ! -!Z,0= ! -!Z,0=.! -!Z,0=.! -!! ! !#><0 x .! 5)&", ."g  ". A  ' `JZ,JY!;. 2MJ3.KL.3 =H=5K<. <CJ=.KB.= ==?A<. X < .!   <=J g<. ! 1! 1! . z<  6x 6x 6x "! z  z .!z   .Iu. v z.w # <!  !.  z.  1z, z /<,"z3 z .3% z ..z < z .w $ <!  !/  z.  1z- z 0<,"z4 z .4% z ..z <.5X. X.z X z X !> ! "M!> ! "8J!   J 3r y &z "  .  x<!!3J ! !!! k! 3J!"e k! !l  A!#! #3!  1 ( "j  l.J  P f!v  .w  2 <w  %w  w.gc!"<# ,#"$  . . <   #2 "~ t  Je  <<U  <#$,# #""NF'"  .X  6~  ~.f     << 6  J << 9  G << <  D <<    <<    <<    <<    <<    <<    <<    <<    <<  <    . <  X . <    < .<   . <      .X  . < .X  r  X     . . J   . <    . <   f   . . f   . . f     .z<~   ~ %.~. u~"/% w.< #> w.."w  "w w . w.  w 2w "  w 0' "y o 0 >5.5h ?w J$ fF"w " w." w." "w ' "F0Du.<u $ Jw0 w JXb   w .X5LH0 $.!.!-'i  "F0c<1O 1 O.  n<n .n  .   !<   J / .  . /.   < 0X  !.   < / .  . / .  .  1! uJ<  < !< <. &.  <  < |.i &.X!. / . =. ..X!< =. =.  0! pJ"  !Jy#Cy -'# ! &2, 60q.6 $!-6$!6=2=2 !H , 6.!% ,r<  n  n.  =)/!. !%#z.%#% pJp . p.  rf" ""3 J ! !! .z<. !! ^.! 3! Z -YJ 6 !   Jf  <.Y.. <J=<@.#  <.# < .. < b .  .  < " .  < t .  .  ".     " .   " .    yXp  z v '3  T.!*v#.63,' #'/! 9 :9 .L1  9"1.9:Oz 6 . B!B;1!;0T"<;"0T;:O * 9J NJ&D"D .'62-' "' 0!'!9:9 .39%97O6 <>?02!># !% ~ < - >- " < "w.,! $" $! 0! #(>. .#<o. C#m   y $<h . R<%<!"+U +. U.  x<o   s  .t  !v(  ! - 'h -z ' -b %!.62,'/' $'!<>F !F !/' Oz.6 Dd.- +. ]<0"62'/' $'!<>F !F !/' Oz.6 Dt.- r<."!"5K 5. K.  }J/">0! -  V$ L # ". ">0.#Aa "  d < h  fz(^z  u 4! ! ?%"&' iJ!.93+'"'2!h3 'H Rz.9 -f. '. a<0#9>'?!L:"'R9 -s. u<  p  "!">B >. B.  }Xn  lLK9#!/"S 6+ |   !! !   |.K  .|r "  u.  |.  !!  | y 'Jz Xz   | <-, .>"!.5 .  { {    {< { ..#";" MJ;""/Q /. Q. #.!J L"2!><  .  'P0# +# Xu- <u ! <u L u ! @ !@ ""J > 03* [,@  . ! , t !&z A D0!Jy &4z 2  0"  f<"" #5 08J.   p 8. 8o "   p 81'r.B.x .(  8w . 8w "   x 8N,5 Lw.0L 0 $J0# +I  < . wff# %  0K9#!/"S 5L &z "   q< <f# %  0K9#!/"SDL% &z "  X p< <f# %)V , T0K9#!/"SDZ  z t 0"  u n< <!!- &-z .5### ! $M!# X4 !#1! $~Xv .""3 X ! !" . y<. !! .!""&'" !)%) >"+ F17$F!%F!%)!!#4y "  .r   !""&'" !)%) ?", G18$G!%G!%)!!#5y "  .r   !""&'" !)(x. >"+ ?51)0!$1z )"!!#4v "  .o   !""&'" !)(x. ?", @51)0!$1z )"!!#5v "  .o    ]%3/PX&    XJ.   .    .. < ..J . . <  <ty< X!< / . =. . '/<8  #.#f# !'X' %%.r "  m. / . .  A33/. 4X&    XJ.   .    .. < ..J . . <  <ty< X!< / . =. . '=.8  #.#f# !'X' %%.r "  .m  / .< "<t/ ! 1 1  +# .X=  5 'y  6sJ  "30y.[ . /&  y.5w  & 4S !-"S  #t  & [ , "*#z $6S !$U Jou !%#) #!"*#$x ! !$#$"','u """",#'x """''#'v 'y '&#"( t.  t. ,2)n."$$")t " ,20)n.$ t i+ m.&+  !'% 0xX// ~ 5 y '! .-4 !   ! sX!q fq .3#=&2x ',4> z >'@! >=!Hz&,z &Hz , F2F@!F@/F@!-!!! <6!0 ,%.d 3 2*l :X%/!X.$! HN ;v (!@3&v 2&' u "1'!p < L[&& "LU0(0X .E)0!%  %   !Ul< ./61%$ %w <= % ?.$4" 4!*$  $%'$/$"  !#'-' ' "',.!=d$   $.%d   =d %O+6 .MS 1 . X~f1$6<$<  z.5 v /60 /%0$ :$$5 : 2z $"%5& $2z % ) E!:!E  6r ) :! !Or 6 Hj1 X ~t.<<.   !  !!<! . Uf<*4z g*"4.#"1 0! -1 K  ! $!$ 5'% Xx " m = n  !(d  !!%.XX*4z g*"4."!0 0! -# K  ! $!$ 5'Y " n< = o  !'f  !! v t#/42 w 6, .> t 2&>'x %2< 2 $?>Ht ,  Ht., @F$F@/F-@!F/!! J !0 3.28w.:M (!!3 'z "%v2z Gi Gi 0./D0.$ .<$< v<5?!00:N$ ! !$  !! :F:0 .X5 .Gn0 J.f   !!    !  U  ^ " ! f<*4z g*"4."!0 0! -1 K  ! $!$ 5'L " m = o  !(e  !!<Xj. j  j<  X .=$2  m ,n !!!,02 .-2!,t 2 !!Ht,  Ht ,"J,.K/    %C<",F@F/$@%F(@!@.!w !B?!< DUx (!=Uv <0J. g  /B0!"0 '(.'x '6 *x  0X0K/  . ~%~  "0."!5>N$"N5G+0 .~~  6~ 6  0O#"O6.~700!5>N#"N5G+0 .C6~  6"O""O6. .~ 6 8~ ./ .~  6~ 6 .~.| q Y !& ~J   5X&X X 5X-.=%J 8.X<.f+.!I! @.X1.!I! 3.!I! 2.!I! Z.X<.X6.XH.XH.X<.X<.X>.X^.X`.Xd.XJ.XJ.XL.XL.XV.X?.XQ.XU.Xb.$I#(Y #<J4(;x<  <Xf.&I#'Y#<X=, <X"" 2 <r./"J/ 4 /  62!!Hs Hs ,<%@  Fl.@ @k.F!/F@3@%7 ! ?.X  <t =X  <t =X  <t =X  < <tf ..I f2 X%J<f!f!f"f!f!f{<",<" "%.!!!.z<= J\2"4   ,.5 , 4 }(#+(  }  " }.!!.!!' <! !'J!!&|J . | |< <=!&{J <{ {< <%"G!!! %#.(<.H<= = .]J=/ <=/  P< /  \$"& }.+% }  ! } !! !!' <! !' Y&{ { <Y!&{   { .#"9!!! %#. 6.YJ= s  !<= Z & !  X<  !!8 \N"&  < 4 |%I |.!!! !!' <! !'Y!& z    z <Y!&z   z .#"G!!! %#6 ...L. E%!3Jr<= T , ! R<  !!.\\"& {    {< ! { ! !!' <! !'K' ='#" +!!! %6J[J/ t  !r  !!3J [f # "#"! -y y Jy y < y  5< [ [ w "## !Wy y . y .y y   y . y  C< X!0 !% > d "!4 . f])3 .3 K% $*x ("/  <  0/ X0Y/  n # r<> ,0" ,   00 X0Y/  b.Y   j j <..x.",<" "& .! !!.0r<=J[?x  (/$/! "!. !  %y <#!"x "!"# "!"&"v " z 0 t ! !"2%3!w !!!,5"*"-!/")!(K%#y ""$4K!.!K( "&x x . 69!0-!9* !&x x .  .#(# &%1i<(I "  &x <!!"r w $!m !;n ""## @0 .@.@" /B=$ !? N 5!z & "/ "0/",  9$  !C)  !?'  !=& * 4 "00"-  +;%  !E*  !A(  !?' +  ./A&!xC x.C. ! x .K!!K ! 0x : L  x . x  <%#!!!B"! $< /<+  -<)K"9#>"A t< t  t. ~ <  ~Z "  4" 5  ."~ >K"9#>"A t< t  t. ~ <   w!-!~<[  5<K<4-Q / Q.z  5 .4K>>/ < S+ T.  ,.<[x &# 0K9#!"T 5  <1: ZO " . R .j<5N h= O 0 V * 8zJ"[q    z 3!v # <y "<yX3 e >  < y 5Jy   <yJ .<y &z "  <y%[!  j. _...,/ . j. 5 s<8"36!!!!y ,/<y &z "   _ <y  ! (Xx f #&< .!&;"&"<!&;"&#" ## <[ = '<z2_y 'y ' 0 '$ .!& - <3- 70` 7  7%!7=3=!I -   .! a<= !JW?0<11"W?W1 ."! $]<   ."$x   !!$w 0/.  ..6 My-<{ 1 {  1 { %.- {Mw  0v ( n !!&y ! u "! BE &E0  %.5M) K.+ ).M.K )  <!!0 A # !  w > Z  .%'  4)w.7u  %!( 'v "")2"3(#!'#(!!7k>HJ ;J  1 / .DJ _ z(! %. 0.  =1.| 0"1 | -#!1-!| @ -.| &'K#z $(x !$ ' f.  [ f6& !6y.P!6y  !u !   f> # " $7!4 $!!L% $#+! + !#,+!! !   !0 1  J 5H"  E 8 "< :. 0 2 $ 2v   !u !7!L:"$8 $8 $ << . .%><<.!-} 1 8} 1  } 8!%-} "J o 6<  .x <w.. . -<} 1 } &%1 } %.}- }K!z K35 /# .)$ 5   U.! p.L * 6<*.  $h1 01"," ./g (.T , "T  /<1! !, # y. .D'Dy 'Dy 'y & u< B  / 1 /}< lz 3!  0Xk <.0>    .x,..e o  J  5k<"03!!!!   ! `<  `   `  M<%-1|.!;""= J#Y)"!!)/<% !.' 0. 4%48. !.! #&.iJ / X!6! "0)55M! Z&XzJ5 L,0 .#!8G<Yp / Wq G-=W/"/ <  Av./.v -  v   v  s #' D .<3.. n (x (& x.(&%= & /%E& ,z "#Dd , z !#Dd, )"^bD" - /m !03"$!(%n 2"X;  -"+ !!!"xJz  %u JJ &~ !"    <x !-"" ..5 <y   y# x  /.! x2.Z<Gx* L ! - <x $    t6 Z00."   _  J'! - N ."w  z   0!" >8"" "< . _.2  "I   <i2 Z 0t.  . "& <! !$g! -! 0< . .   ?  #/0 ,  !-11L < =  . = < =  . =  . = < = < =  . =  . =  . =  . >  /  5= 05z 0%+#%#(x   x   x. 'y 'y.     /  5= 5z 0-#'#(x   x   x. 'y 'y.  w* <>* % " ~~! Kt0!0!!!! Kt L "!!!-! 4/ &z "   <2*<=*#*!& 0 ! Kt'u ! %"! /4 L "!!!-! 4/w &z "   < .@*X=*#*!& y 0 ! Kt. 5 "u /&.#x !/!5"y "!. "! K > "!!!-! 4/~ &z "   < .@*f=*#*!&~~ 0 ! Kt  .k (v ! z (r !"~   ~   "!!-! &~"   ... ~ / / t    v  . 0 " 2/} &z "   . <.@ ~..0__streamerror_valuefann_save_trainFANN_GAUSSIAN_STEPWISEfann_copysize_tdata2layer_endFANN_STOPFUNC_MSEfann_get_sarprop_step_error_threshold_factorfann_create_from_fd_1_1fann_callback_typeerrno_fold_min__sz__fmt_IO_codecvtFANN_LINEAR_PIECE_SYMMETRICfann_get_rprop_delta_maxfann_get_cascade_weight_multipliersteepnessquickprop_muFANN_E_TRAIN_DATA_MISMATCHerrstr_maxFANN_E_NO_ERROR_IO_save_endfann_set_sarprop_weight_decay_shiftFANN_E_CANT_READ_CONNECTIONSbias_weightfann_get_activation_steepnesscopy_neuron_itMSE_valuetrain_datamax_possible_valueFANN_SIGMOIDfann_testfann_set_quickprop_mulearning_rateFANN_E_INDEX_OUT_OF_BOUNDfrom_neuronorigdata_output_IO_write_basenum_layerslast_layer_beginfann_destroyneuron_diff2new_min_lockneuron_it2putsdelta_minfann_get_learning_momentummax_epochsfann_get_cascade_max_cand_epochsfann_scale_trainweightsfann_get_cascade_max_out_epochsnew_input_max_IO_save_baseprev_layerneuron_itfann_create_train_pointer_arraydeltas_beginfann_set_user_datastrcpyactivation_functionscale_includedoutput_neuronfann_set_cascade_candidate_limitcallbackfann_update_weights_batch_chainfann_save_to_fixedfann_set_sarprop_temperature_cur_columnallocated_connectionsfann_train_epoch_irpropm_parallel__printf_chkfann_get_sarprop_temperaturecandidate_output_weightcandidate_indexbest_cand_scorebias_neuronfann_descale_trainfann_train_epoch_sarprop_parallel._omp_fn.0fann_train_epoch_sarprop_parallel._omp_fn.1diffdelta_zero__fread_aliasfann_scale_data_to_rangetraining_algorithmslope_beginfann_get_total_connectionslong intmemmoveFANN_COSerror_logfann_cascadetrain_on_filebest_candidatefann_set_activation_function_outputneurons_to_allocateFANN_LINEAR__fprintf_chkweights_deltasFANN_E_CANT_OPEN_CONFIG_Rfann_get_num_inputfann_set_output_scaling_paramsfann_train_dataFANN_E_CANT_OPEN_CONFIG_Wepoch_IO_markerFANN_TRAIN_BATCHfann_save_internalerrstrshort unsigned intfann_create_trainfann_train_epoch_irpropm_parallel._omp_fn.0fann_train_epoch_irpropm_parallel._omp_fn.1copyrandfann_train_epoch_irpropmFANN_SIN__builtin_strcpyerrorfann_read_train_from_fileweight_decay_shiftfann_set_weight_arrayfann_get_train_inputfann_update_candidate_slopes__sizefann_initialize_candidatesfann_get_num_outputfann_neuronsave_as_fixedfann_randomize_weightsrprop_increase_factorfann_reallocate_connectionsfann_scale_inputsarprop_weight_decay_shiftfann_set_cascade_weight_multiplierbackslide_cand_scorefann_get_rprop_increase_factorfann_nettype_enumfann_merge_train_datafann_length_train_datasigned charconnected_neurons_IO_FILEfann_set_cascade_output_stagnation_epochsfann_get_cascade_activation_steepnesses_count_IO_wide_datacascade_candidate_change_fractionelemfann_train_epoch_quickprop_parallelfann_num_input_train_dataconnection_itfann_get_cascade_candidate_change_fractionfscanftmp_erroractivation_function_hiddensecond_layerdesired_errorunsigned charscale_deviation_out_freeres_listcascade_max_cand_epochsfann_update_weights_sarpropcopy_first_neuroncandidate_confcloseerror_beginfann_descale_inputfann_train_epoch_quickprop_parallel._omp_fn.0fann_train_epoch_quickprop_parallel._omp_fn.1fann_get_bit_failfann_get_max_train_inputfann_backpropagate_MSEtrain_slopesfann_set_cascade_min_out_epochscalculated_decimal_pointfann_allocate_structurefound_connectionfann_get_train_error_functionconnection_rate__gnuc_va_listfann_train_candidates_epochscale_mean_outcascade_candidate_limitvaluecosftotal_connectionscharsame_signFANN_ELLIOT_SYMMETRICnum_datafann_get_rprop_delta_zero__stackoutput__ptrfann_layerfann_read_train_from_fdlayer_beginscale_factor_outfann_update_weightsfann_get_errnofann_subset_train_data_IO_lock_tfann_print_parametersdecayFANN_TRAIN_QUICKPROPderivedtimevalsource_indexsinfnum_bit_failnew_spanrprop_decrease_factormin_connectionsrprop_delta_zeromultiplierfann_get_rprop_decrease_factorfann_shuffle_train_datacandidate_connections_outlong long intprev_train_slopesconnections_to_allocateactivation_function_outputcascade_best_candidate_IO_read_ptrFANN_E_SCALE_NOT_PRESENTerror_itnum_connections_movefann_set_error_logstep_error_threshold_factorfann_set_train_stop_functionoutput_vectornum_inputconffann_get_callbackfann_save_train_internal_fdfann_set_weightfirst_candidate_neuronFANN_NETTYPE_LAYERfann_train_enumfann_update_slopes_batchfann_get_neuronscale_factorinputbest_score_markersfann_train_epoch_batch_parallelcascade_min_out_epochsfilefann_set_cascade_candidate_change_fractiontmpValactivationFANN_THRESHOLDmin_weightfann_set_learning_momentumprintforig_layer_itfann_set_activation_steepness_layerFANN_TRAIN_NAMESfann_train_epoch_incremental_modfann_create_from_fileGOMP_parallelmax_sumread_versiontv_usectarget_cand_score__vr_topfann_get_quickprop_mufilenamefann_check_input_output_sizesfann_clear_train_arrayscascade_candidate_scoresfann_get_bit_fail_limit_offsetFANN_E_CANT_USE_ACTIVATIONactivation_steepnessFANN_SIGMOID_STEPWISEfloorprev_slopepast_endcopy_layer_iterror_improvementnew_output_maxfann_set_cascade_max_cand_epochsneurons_between_reportsfann_create_standardfann_desired_error_reachedfann_train_outputsfreefann_get_total_neurons__builtin_fwritefann_save_internal_fdcascade_activation_functionscascade_activation_functions_counttemp_slopesnew_input_minlayersinput_vectorlong unsigned intsarprop_step_error_threshold_factor__va_listFANN_ERRORFUNC_TANHFANN_E_INPUT_NO_MATCHprev_stepsstatus_flags2cascade_min_cand_epochsfann_activationfunc_enumfann_descale_output_IO_read_basefann_get_cascade_activation_steepnesses__aplinenext_stepcascade_num_candidate_groups_unused2random_numberfann_get_errstrfann_get_weightsscale_deviation_inFANN_SIN_SYMMETRICfann_set_cascade_min_cand_epochsFANN_E_CANT_ALLOCATE_MEMstep_error_shiftfann_activationneuron_sumcascade_activation_steepnesses_countincrease_factor__builtin_memsetmax_neuronsfann_connection_old_offsetcur_sample__strcpy_chkretvalFANN_STOPFUNC_BITfann_create_train_from_callbackfann_errorfunc_enumfann_set_rprop_delta_maxcascade_candidate_stagnation_epochsfann_disable_seed_randFANN_ERRORFUNC_NAMESFANN_SIGMOID_SYMMETRIC_STEPWISEneuron_pointersfann_set_cascade_activation_steepnessesfann_update_MSEcandidate_connections_in__stack_chk_failfann_get_max_train_outputfann_set_training_algorithm__ch__srccascade_weight_multiplierprev_weights_deltasfann_set_weightsva_listFANN_SIGMOID_SYMMETRICfann_get_min_max_datanum_elemfann_create_shortcut_arrayfann_set_rprop_delta_zerofann_get_layer_array__builtin_fputcquickprop_decayfann_init_weightsmin_epochsmemcpyrandom_neurondoublecand_itshrink_factor__gr_topscale_new_min_in_IO_write_enderrdatlearning_momentumlayer_itfann_get_train_outputnum_connectweightuser_functioncand_sumtotal_neurons__builtin_puts__builtin_omp_get_num_threadsomp_set_num_threadssarprop_step_error_shift__builtin_GOMP_barrierfann_get_MSEfann_seed_randbit_fail_limitactivation_steepness_outputfann_set_rprop_delta_mincountdata_inputfirst_layerfann_activation_derivedomp_set_dynamicneuronsfann_get_train_stop_functionfann_create_sparse_IO_buf_base__isoc99_fscanfmax_connectionsunsigned interror_prev_layertrain_errorsfwritedesired_error_reachedlargest_inpfann_update_weights_irpropmdecrease_factorFANN_E_CANT_OPEN_TD_Rnum_candfann_set_sarprop_step_error_shiftfann_train_epochFANN_E_CANT_OPEN_TD_Wpositionneuron_valuefann_get_connection_rate__pad5fann_set_bit_fail_limitsmallest_inpvsnprintf__suseconds_tFANN_THRESHOLD_SYMMETRICfann_set_shortcut_connectionslayerfann_runtrain_error_functionprev_neuronsoutput_beginorig_first_neuronfann_train_on_dataFANN_NETTYPE_NAMESfann_set_cascade_output_change_fractionfann_set_cascade_activation_functionsnum_neurons_flagsfann_num_output_train_datatotal_connections_allocatedFANN_E_WRONG_PARAMETERS_FOR_CREATEfann_init_error_data__builtin_memmove__builtin_putcharfann_get_neuron_layer_modeconnectionsfann_create_sparse_arrayfann_get_learning_ratedecimal_pointfann_reset_errnofann_get_min_train_input_codecvtfann_train_epoch_batch_parallel._omp_fn.0fann_train_epoch_batch_parallel._omp_fn.1total_neurons_allocated__unknown__callocFANN_COS_SYMMETRICfann_get_connection_arraybackslide_improvementfann_add_layerfann_set_quickprop_decayomp_get_num_threadslast_weightcand_scoreneuron_placestrncmpFANN_SEED_RANDfann_clear_scaling_paramsmax_weightFANN_TRAIN_RPROPfann_set_activation_steepness_hiddenGNU C17 13.5.0 -mcpu=cortex-a72+crc -mbranch-protection=standard -mlittle-endian -mabi=lp64 -g -O2 -O2 -fstack-protector-strong -feliminate-unused-debug-types -fopenmpfann_print_connections_rawnew_output_minsarprop_temperaturetmp_conFILEdata1fann_get_cascade_candidate_stagnation_epochsfann_install_candidatefann_scale_data__builtin___strcpy_chkinitialize_candidate_weightsinput_neuronnum_connections_incurrent_max_valuenum_connectionsneuron_slopefann_errno_enumfann_create_shortcutfann_set_input_scaling_paramslong long unsigned intto_neuronfann_set_train_error_functionswapFANN_E_CANT_READ_NEURONcascade_max_out_epochslengthFANN_E_CANT_READ_TDnum_candidates__off_toutput_itfann_set_activation_function_layer__builtin_memcpyrprop_delta_maxfann_set_activation_function_hiddenfann_reset_errstrgettimeofdayepsilonfann_stopfunc_enumFANN_E_CANT_TRAIN_ACTIVATIONlog_fileneuron_diff_freeres_buffirst_candidate_connectionslopetrain_stop_functionlast_candfann_set_learning_ratefann_get_training_algorithmfann_get_layerscale_factor_inconfiguration_fileomp_get_thread_numfann_get_cascade_min_out_epochsfann_destroy_trainFANN_E_WRONG_NUM_CONNECTIONS__time_tsarprop_epochmemsetfann_update_weights_quickpropfann_get_cascade_output_stagnation_epochsfann_get_network_type_IO_backup_base_shortbuffann_train_epoch_quickpropcascade_output_stagnation_epochsFANN_NETTYPE_SHORTCUTRMSEnetwork_typeoutput_train_errorsfann_set_activation_steepnesscascade_activation_steepnessesdestfann_print_connectionsGOMP_barrierreallocfann_default_error_logmalloc__off64_tFANN_E_TRAIN_DATA_SUBSETfann_create_train_arrayold_maxFANN_ACTIVATIONFUNC_NAMESfopenFANN_GAUSSIANfann_compute_MSEfann_get_cascade_num_candidatesfann_set_activation_steepness_outputfann_create_standard_arrayfixed_multiplierfann_allocate_neuronsfann_get_rprop_delta_minfann_get_user_datafann_cascadetrain_on_data_IO_buf_endfann_get_cascade_candidate_limitfann_scale_input_train_datafann_reallocate_neuronsfann_save_train_to_fixedfanncand_slopesFANN_LINEAR_PIECEscale_mean_infprintflast_con__builtin_GOMP_parallelfann_update_candidate_weightsFANN_TRAIN_INCREMENTAL__fread_chkoutput_endfann_set_cascade_candidate_stagnation_epochsfann_train_candidatesstderrnew_maxshort intfann_get_sarprop_step_error_shiftdelta_maxdelta_wfputcfann_savefirst_candfann_duplicate_train_datafann_get_quickprop_decayfann_train_outputs_epochstagnationFANN_E_OUTPUT_NO_MATCHoutput_neuronsFANN_TRAIN_SARPROP_vtable_offsetfann_reset_MSEfann_train_epoch_sarpropneuroncandidate__destfann_allocate_connectionsfann_set_scaling_paramsfann_save_train_internalnum_neurons_intarget_improvementbits_used_for_max__fread_chk_warnputcharfann_print_errorfann_errorlast_layer_endsrandfann_get_cascade_output_change_fractionfann_create_from_fdstrlenfann_get_sarprop_weight_decay_shiftnum_neurons_outcascade_output_change_fractionnum_neurons_so_farfann_get_num_layersfann_set_cascade_max_out_epochsthreadnumbfactorfirst_neuronfann_set_activation_functionfann_set_callback_IO_read_endcand_out_slopesfirst_weightfann_set_rprop_increase_factorfann_get_activation_functionFANN_STOPFUNC_NAMESfann_train_epoch_incrementalfann_get_cascade_activation_functionsnum_MSEconnections_per_neuronepochs_between_reportsfann_scale_train_datafann_get_min_train_outputprev_step_filenoscale_new_min_outfann_get_bias_arrayfann_trainfann_train_epoch_batch__gr_offs_wide_data__vsnprintf_chktotal_epochs__builtin_omp_get_thread_numFANN_E_CANT_READ_CONFIGfann_test_dataold_spanfloatnum_outputFANN_ERRORFUNC_LINEARfann_get_cascade_num_candidate_groupsactivation_steepness_hiddenfann_enable_seed_randfreadlayer_pos__builtin___vsnprintf_chkuser_data_IO_write_ptrFANN_GAUSSIAN_SYMMETRICFANN_E_CANT_USE_TRAIN_ALGlayer_sizeFANN_E_WRONG_CONFIG_VERSIONfann_set_cascade_num_candidate_groupslayer_sizesnum_connections_outfann_set_sarprop_step_error_threshold_factorfann_train_on_filelast_neuronfann_get_cascade_activation_functions_countbiastemprprop_delta_minorig_neuron_itann_vect__lenfann_add_candidate_neuronfann_scale_outputfann_typedatadesired_outputcand_out_weightsfann_train_epoch_sarprop_paralleltv_secfann_allocate_scalesqrtf__vr_offsfann_scale_output_train_datafirst_conexpflayer_it2cur_neuronFANN_ELLIOTinitial_errorfann_set_rprop_decrease_factorlast_layerdestination_indexfann_get_cascade_min_cand_epochsnum_hidden_neurons/usr/src/debug/libfann/2.2.0+git/src/floatfann.c/usr/src/debug/libfann/2.2.0+git/usr/src/debug/libfann/2.2.0+git/usr/src/debug/libfann/2.2.0+git/src/usr/include/bits/usr/src/debug/libfann/2.2.0+git/src/include/usr/include/bits/types/usr/lib/aarch64-poky-linux/gcc/aarch64-poky-linux/13.5.0/include/usr/include/usr/lib/aarch64-poky-linux/13.5.0/include/usr/include/sysfloatfann.cparallel_fann.cfann.cstdio2.hfann_cascade.cstring_fortified.hfann_io.cfann_train.cfann_train_data.cfann_error.cfloatfann.htypes.hstruct_timeval.hstddef.hstdarg.hstruct_FILE.hFILE.hstdio.hfann_error.hfann_data.hfann_train.homp.hstring.hmathcalls.hstdio2-decl.hstdlib.htime.hGCC: (GNU) 13.5.0GNUzRx ,A-A0BBh A-A ,H|A-A0BBE A-A ,xA-A0BBD A-A TA-ABBRMLEI H BK J ED DONpIHAAAKJAMLAONCA-A H I J K LMNO-lHIJKLMNO``A-A` E BBRIHPIHPA-A`  HI-$LC-A BJA-4A-B@DCK\ A-C $ 8 L` t  xd$J-C DnA-(dC-A0BCMA-@Th | ,D-A@DJNL A-A JX A-ABB F HIJ^J HIA-A @DI-AH A-A c A-A B A-A D B-A \(A-A Bi A-A   H@,@8A-ACEEH I BJ K DLMEVONeONHLMJKHIA-AH I J K LMNO-ZNODNO      4HH,\Hp,        $ 8 L ` t         ( < P d x       8 C-A CV A-A E A-A E-,@ A-A0BEmBA-p $ pD-A CQ A-A $ pD-A CQ A-A $ tD-A CR A-A $ tD-A CR A-A $ $8 D-A DT A-A $` A-A FW A-A $ A-A FW A-A $ A-A Fe A-A    | 0A-ADC DHIBK H BJRJAAFHIA-A HIJ- $ $ X $ 4A-A BGA- $ @A-A BJA-H \ 4pp ,C-AHE#aNT CA-A `Wo L DFD A D F D F D H D H DX A-A` CB JGEHU AAHAA-A GHDA-,@ A-A0CCU A-A ,p A-A0BBy A-A 0 A-A Cc A-A FA-8 |A-A0CCN A-A EA-0A-A0BBU A-A (D0H-A BHO HA-A dpA-A` C CBFHC{HAEA-A`  H-XtA-A` C CFRKJAIHhIHAKJD A-A KA-P4A-AP CBCHIBv HIA-A sHIA-$DA-A BKA-<A-A0BGX BA-A ACA-DA-A@BEw A-A lA-88A-A0BGXU A-B JA-HtA-A0BDZ A-A O A-A J A-A HA-A@BCEIHCJIJAIHF A-A CA-` A-Ap C FHI qKJBqKJAH HIA-A IHIA-,pA-A0BBh A-A ,A-A0BBh A-A ,A-A0BBl A-A XL-BEB- $TM-BCB-4HA-A@BBFS A-A tttt|`A-Ap B C BIIHBJZIHBJDA-Ap  HIJ-YHIJEHIJAIHBJPhA-Ap C CE EIHBJZIHBAJCA-Ap  HIJ-YHIJAE HIJABIHAJ@hA-A0BHICK HIA-A DHIA- `A-AK B-A HDDA-A0BIhDA-A0-EFJC-ABEHIt IMLF A AKJAACKJAMLAHIA-A HI-EKJF A jKJAAAE HIA-A B JKLMCJKLMAt ,\D-AB B x A-A 0`A-AD BH B x HA-A lA-A` B CqvIHCJDcJAAIHADA-A`  -AED,\XD-AB B w A-A D-AD F BSbNA-A  -pGG` AA s AA BEAFAA$XD-AA B CCC}AAT A-A ] A-A KAAAkI A CFJ A DI AAA (dA-C BM A-A 0A-AB DE JW vBBBA-A -DEA-A -FAA FAAxA-Ap BCCD S cAADA-Ap  -GAA GAAA-Ap BD B MCyBAA-Ap  -KA-Ap  -GA<$A-AP BCBBr A-A 8A-AP BEC]A-DA-Ap BD BCG VFA-4`A-A@CCWA-pD-AC D BR\NA-A  -EWAGAFBA( dA-C BM A-A L8A-A0BKCA-A0-A CA-A J80A-AP BBC{ A-A 80A-AP BBC{ A-A 80A-AP BBC{ A-A 8<0A-AP BBC{ A-A xTX,A-A0BDS A-A 0A-A0BBV A-A ,A-A0BDR A-A ,4A-A0BDR A-A (dA-BU A-B EB- A-BX A-A || A-BX A-A dA-A@GEHN ABAA-A ABAAA-A@-ABACThA-AR A-A B A-A C B-A A A-A A A-A A A-A <tA-AP BBCBHp HA-A XA-A@BHBBFV HA-A E HA-A GHA-D\A-A0BC` A-A E A-A DA-DA-A0BC` A-A E A-A DA-, A-A0BDXDA-80 dA-A0BBk A-A R A-A l (A-Ap BJKB B BCHINLQLG JKHIA-A JJKHIA-Ap  HIJKL-e LAJKHIA-A MLJLALGJKHIA-<4!A-A0BIXBA-A0-A0t!A-A0BCh A-A P! A-A` EC DHIDKLAKJ]LAKJEHIA-x!0A-AE C D `BHFHBEA-A H-BHIHx"A-ACG TI H D BKJAMLrIHAAKJAMLEA-A H I JKLM-#@$#A-AP CEFOHgHW A-A h#hA-A` B BBHIHEJWIHAJDA-A`  HIJ-IIHAJEA-A`  HIJ-EIHAJAA-A`  -4,$A-A@BCBe A-A d$x$$A-AP BBBCHHq A JFHA-AP H-VTHA-AP H-aX%A-A@BHBBFV HA-A E HA-A GHA-$t%8A-A CGA-%% % % % & & (& <& P& d& x& & & & & & & ' ' ,' @' T' h' |' 0'pA-A CO A-A DA-' ' 0'pA-A CO A-A DA-@ (|A-CA BBDBHM HA-A @d(A-CA BBCBR A-A L(A-CA B B CDHI\ HIA-A X(<A-CAB B C EHIJKt JKHIA-A T) :|fPTp00К0G0 s  ( @ P `  `@L*/ER e y    @xd01@A0dWho  0 +  AHV\$lp)\|)* * **H0+@p,p-8$*/ F/ b/ y/ /H@0,p0H0,"0 @1 ^1 p 1 01 @1 P1 `1 p1 1 1 =1 \1 u1 1 1 1 2 2  2 <02 i@2 P2 `2 p2 2  2 1 2 N 2 f 2 ~ 2 2 2 3 4 05p 5p' 6tA 6t[ 7t 7 08 8 P9 :  :  0:  @:0; p<$P <$f <X 0= @=4 = =@ = =4  0>,     & `D= E L pF` g H I pJ| J K0   M Ot  Q SD+ PSH Ta Ux V X X  Z [ p\ P]X]T/^H^tY0_tk_t~0`t``chehe`PfDh6n Qn\fp`y`q tXupyXЇd@0p3JЍ$\|dp 0T-XQaz0`||`,=tP0ctШd(0Ю 40Olд`h` %P?08Vpv    п E p    0 9@ \P }` p     @ `    p H pp| 00<R@sfloatfann.c$xfann_train_epoch_batch_parallel._omp_fn.1fann_train_epoch_irpropm_parallel._omp_fn.1fann_train_epoch_quickprop_parallel._omp_fn.1fann_train_epoch_sarprop_parallel._omp_fn.1$dfann_train_epoch_batch_parallel._omp_fn.0fann_train_epoch_irpropm_parallel._omp_fn.0fann_train_epoch_quickprop_parallel._omp_fn.0fann_train_epoch_sarprop_parallel._omp_fn.0FANN_NETTYPE_NAMESFANN_TRAIN_NAMESFANN_ERRORFUNC_NAMESFANN_STOPFUNC_NAMESFANN_ACTIVATIONFUNC_NAMESomp_get_num_threadsomp_get_thread_numexpfann_runcosfsinfexpffann_destroyfreefann_print_parameters__printf_chkfann_get_num_inputfann_get_num_outputfann_get_total_neuronsfann_get_total_connectionsfann_get_network_typefann_get_connection_ratefann_get_num_layersfann_get_layer_arrayfann_get_bias_arrayfann_get_connection_arrayfann_set_weightfann_set_weight_arrayfann_get_weightsmemcpyfann_set_weightsfann_get_user_datafann_set_user_datafann_disable_seed_randfann_enable_seed_randfann_seed_rand__stack_chk_guardfopenfreadgettimeofdayfclosesrand__stack_chk_failfann_save_internal_fdfwrite__fprintf_chkfputcfann_activationfann_update_MSEfann_testfann_get_MSEfann_get_bit_failfann_reset_MSEfann_update_weights_batchfann_update_weights_quickpropfann_update_weights_irpropmfann_update_weights_sarpropsqrtffann_get_training_algorithmfann_set_training_algorithmfann_get_learning_ratefann_set_learning_ratefann_set_activation_function_hiddenfann_set_activation_function_outputfann_set_activation_steepness_hiddenfann_set_activation_steepness_outputfann_get_train_error_functionfann_set_train_error_functionfann_get_callbackfann_set_callbackfann_get_quickprop_decayfann_set_quickprop_decayfann_get_quickprop_mufann_set_quickprop_mufann_get_rprop_increase_factorfann_set_rprop_increase_factorfann_get_rprop_decrease_factorfann_set_rprop_decrease_factorfann_get_rprop_delta_minfann_set_rprop_delta_minfann_get_rprop_delta_maxfann_set_rprop_delta_maxfann_get_rprop_delta_zerofann_set_rprop_delta_zerofann_get_sarprop_weight_decay_shiftfann_set_sarprop_weight_decay_shiftfann_get_sarprop_step_error_threshold_factorfann_set_sarprop_step_error_threshold_factorfann_get_sarprop_step_error_shiftfann_set_sarprop_step_error_shiftfann_get_sarprop_temperaturefann_set_sarprop_temperaturefann_get_train_stop_functionfann_set_train_stop_functionfann_get_bit_fail_limitfann_set_bit_fail_limitfann_get_learning_momentumfann_set_learning_momentumfann_destroy_trainfann_shuffle_train_datafann_get_min_max_datafann_get_min_train_inputfann_get_max_train_inputfann_get_min_train_outputfann_get_max_train_outputfann_scale_data_to_rangefann_scale_datafann_scale_input_train_datafann_scale_output_train_datafann_scale_train_datafann_length_train_datafann_num_input_train_datafann_num_output_train_datafann_save_train_internal_fdfann_get_train_inputfann_get_train_outputfann_desired_error_reachedfann_reset_errnofann_reset_errstrfann_get_errnofann_get_errstrfann_set_error_logfann_print_errorstderrfann_errorstrlenstrcpy__vsnprintf_chkmallocreallocfann_print_connectionsputcharmemsetfann_allocate_scalecallocfann_clear_scaling_paramsfann_allocate_neuronsfann_allocate_connectionsfann_save_internalfann_activation_derivedcossinfann_backpropagate_MSEfann_compute_MSEfann_update_weightsfann_trainfann_train_epoch_incrementalfann_update_slopes_batchfann_train_epoch_batchfann_clear_train_arraysfann_randomize_weightsfann_init_weightspowfann_train_epoch_quickpropfann_train_epoch_irpropmfann_train_epoch_sarpropfann_get_layerfann_get_neuron_layerfann_save_train_internalfann_scale_inputfann_scale_outputfann_descale_inputfann_descale_outputfann_set_input_scaling_paramsfann_set_output_scaling_paramsfann_set_scaling_paramsfann_check_input_output_sizesfann_allocate_structurefann_create_sparse_arrayfann_create_standard_arrayfann_create_standardfann_create_sparsefann_create_shortcut_arrayfann_create_shortcutfann_create_from_fd_1_1__isoc99_fscanffann_create_from_fdstrncmpfann_create_from_filefann_merge_train_datafann_duplicate_train_datafann_subset_train_datafann_create_trainfann_create_train_pointer_arrayfann_create_train_arrayfann_create_train_from_callbackfann_read_train_from_fdfann_read_train_from_filefann_copy__strcpy_chkGOMP_barrierfann_set_activation_function_layerfann_set_activation_steepness_layerfann_save_trainfann_save_train_to_fixedfann_savefann_save_to_fixedfann_get_neuronfann_get_activation_steepnessfann_set_activation_functionfann_set_activation_steepnessfann_get_activation_functionfann_test_datafann_train_epochfann_train_on_datafann_train_on_filefann_scale_trainfann_descale_trainfann_init_error_datafann_print_connections_rawfann_train_outputs_epochfann_train_outputsfann_reallocate_connectionsfann_reallocate_neuronsinitialize_candidate_weightsfann_initialize_candidatesfann_update_candidate_slopesfann_update_candidate_weightsfann_train_candidates_epochfann_train_candidatesfann_add_layermemmovefann_set_shortcut_connectionsfann_add_candidate_neuronfann_cascadetrain_on_datafann_cascadetrain_on_filefann_install_candidatefann_get_cascade_num_candidatesfann_get_cascade_output_change_fractionfann_set_cascade_output_change_fractionfann_get_cascade_output_stagnation_epochsfann_set_cascade_output_stagnation_epochsfann_get_cascade_candidate_change_fractionfann_set_cascade_candidate_change_fractionfann_get_cascade_candidate_stagnation_epochsfann_set_cascade_candidate_stagnation_epochsfann_get_cascade_num_candidate_groupsfann_set_cascade_num_candidate_groupsfann_get_cascade_weight_multiplierfann_set_cascade_weight_multiplierfann_get_cascade_candidate_limitfann_set_cascade_candidate_limitfann_get_cascade_max_out_epochsfann_set_cascade_max_out_epochsfann_get_cascade_max_cand_epochsfann_set_cascade_max_cand_epochsfann_get_cascade_min_out_epochsfann_set_cascade_min_out_epochsfann_get_cascade_min_cand_epochsfann_set_cascade_min_cand_epochsfann_get_cascade_activation_functions_countfann_get_cascade_activation_functionsfann_set_cascade_activation_functionsfann_get_cascade_activation_steepnesses_countfann_get_cascade_activation_steepnessesfann_set_cascade_activation_steepnessesfann_train_epoch_batch_parallelomp_set_dynamicomp_set_num_threadsGOMP_parallelfann_train_epoch_irpropm_parallelfann_train_epoch_quickprop_parallelfann_train_epoch_sarprop_parallelfann_train_epoch_incremental_modfann_default_error_logFANN_SEED_RAND,$-,-l,t-,$-P ./(.  `1x212 3( 3x 3 3d5t55555555555555(545@5L5X5d5p55  7   x x787T @` @d7t x   7 ( (7 X X7  7  7  7   078 H@ HH7P xX x`7h p x7  7  7 8 87 h h7  7  7   7( (0 (87< XH XL7P \ `7d p t7x  7  7 H H7 x x7  7 7  h$ hL7\ h l7t 8 87pBEE47L88LD H P X hMNOP7L8LQORT \ hT $ 0T@ H XU` h tU|  U ( (U @ @U X XU p pU   U  (U0 8 DUL T `Uh p |U  U @ @U X XU p pU  U    U$ 0 8U< H PUT ` hUl @ x @ U `  ` U  U  U  U  8U@ ` L ` TUX d l p xTUV  U  T      (U\UtVx    T  UV  T 8  8 (T0 ` 4 ` XUpVt H  H T `  ` UV h  h T `  ` U8 V<  H  T T\  ` `  ` U V   T  `  ` U!V! ! !T$! ` (! ` L!Ud!Vh! t! !T! ` ! ` !U!V! ! !T! ` ! ` "U,"V0"  8"  D"TT" X" \" `" "U"U"V# P # P #T0# 4# 8# <# d#U#U#V# # $U$  $  $U$$ 8 ,$ 8 8$Ut$ x$ $U$ $ $T$ $$ $%2%1%2%1&3l&3&3&3)0++++.a(.4.t..d//l/x//.35835L35h35p35353/457L858Lh5l57Lp58L5R57L58L557L58L 6R67L68LL6P67LT68L6R67L68L667L68L7R77L78L777L78L(8,8R887L<88Lx8|87L88L88R87L88L9 97L98L@9D9RX97L\98L99997L98L: :RL: P: :U: ` : ` ;U@;  D;  T;Uh;Vp; ` t; ` ;U;  ;  ;U<V@<  L<  P<UX<  d<  h<U\=5=5==>7>8 > > >UP>7LT>8Ld>>>?$?($&$$ $$$2$$F$ $($Q2$<$2F$/P$2[$a g$3t$Q$+.$N$$0$$$)$$ '$$$$X/*$7$D$Q$+^$0'k$x$$] $/$ $%$$$$"$$}$#$ L$b$*n$#}$$$]$%1$/$Q$$$&$$Q$$$4$^%$$]$1$H($}$^$$+$q$ ($f"$*($.$!4$:$+V$cl$!{$$?$,$B$$$$($0$%$ 3$$*$$$ $S$d$( `$8"$80($D$R@[$K%j$]p$w$.P$ $S$v'$$$*$$m+$9$oG$U$ c$'q$8$Y3$H$$-0$y$$$$ $Y $.$'$>5$C$rQ$%_$km$0{$w-$U'$ $e$:$ $$i$$ $$ $#$41$'?$yM$[$i$ w$U$_$P$O $T$ 2$$$z$ $ $ $" $&- $ ; $I $W $e $**s $ $ $& $ $ $`/ $ $M $ $m $ $. $( $-05 $B $YU $ a $2o $@* $ $ $ $f $- $1 $, $ $m $> $J $X $$$f $*w $ ~ $ $ $ $! 3 2 $2     $m2  F  < $-   z% $) D  H  Y  ]  b $m2n  r  w $-     $(2     "}  6  0 h " Ĝ ؜! . < ,I 4V |c q $(2}  ^  T     " $      $-     $(2    $y  ! $! ,% **$6 7: 5?$ K BO @T$w` Md Ki$u Xy V~$A c a$++ n l$ y w$  $M       $'  $$0 4 9"aB$N/N R W$c 7g )l$x | $W    $  # $ , ((6$yB IF CK$Z$f kj eo$H.{  $   $w  $$  $A ! $ R N$++ w  o$  $$0 4 9$ME I X I\ Cm lq hv$'"  (@H`"  ",I M STtt|',?<X$(2f$yt$$$-$ $w$$A$++$$$M($'U$m2c$(2q$-$ 0  $m2  $- & $_ К X  N  $$m2/ 3 8$-C G L$(2W [ j"X |  8"n ěL-$(28 < J -N %[p$ tP ^ V$-$(2$y$$$ $C%$$  ~!$,  0 5"=>$WJ v N n ] a f$ r v {$N/    $ o  _ px$y  $$  $H.   $    $  2  6  ;$G$C%R ? V ; [$f V j T y d } b $ t  p  "    @WoКDP| $(2+$y8$E$R$-_$ l$C%y$$$m2$(2$-$  #$m2. 2 7$-B 0 F ( K$Oj b n X ~  $m2  $-  $(2  "3   "I d(x@M[̙hԙu$(2    7  / $$ h  ` $-$(2$y$+$7$C$AO$[$++g$ s$~  "$  $  $N/  $W   B :$   {,$y7 ; @$N$Y ] b$n$y } $A  $  $++  $H.  $  $ @H "0 94 7>Hd Ih Cn$x  ) A  Y (m $(2z $y $ $ $- $ $A $ $++ $  !$m2!$(2&!$->!$N!$\^!$i!! p! h!$m2! ! !$-! ! !$f !p! ! ! -! +!$m2" <" 8 "$-" Q" O "$(2+" `/" \>"" P" yT" sY"ؘn""$ "4"H"P"d""""#$(2 # # # "# /#D#$ H#c# g# l#$-x#$(2#$ #$y#$C%#" #$W# # # # #$ # P# J# $($$.$ q $ m%$$H.2$$ =$ A$ F$$yQ$ U$ Z$$C%e$ i$ n$$$l$"$ $ $4$4$ $ $\%p.%xF%[%pu%%%$%4%%$(2%$y%$-&$ &$C%;&$m2H&$(2U&$-m&$<-&$2&$n &$ '$!+'$L'$b'$*'$,'$*'$'$0'$,'$9 ($6%+($(`($ |($(($7(($ ($9($3($5($)$ +)$I)$m2b)$j)) ) )$') V) J)$y) ) ))") ) ) ) ) ) **:*U*$\a** * *$ ** $* *$** F* :*$+  + +$4+  + )+P3+"D+ H+ Q+ U+ ^+ %b+ !g+h}+D++$.++ C+ ?+$1+", ]&, Y,,$4,Z,$ j,$v3v,, w, s,$ ,,$ ,$T&,- - -$X"-H-$ X-$Gd-- - -$---$ -$-p- . .$J.`6.$ G.$)S.Pz.$ .@.$ .$#.0.$A1. /$ */$N06/Y/ ]/ c/$*k//$ /$"// / /$/0$ 0$C %0пL0$j T0z0$ 0$&00 0 0$00$ 1$-151$(T1$ #n1$c|1$7211$c1 -1 )1$#1 E1 C1$s11 Q1 O1$1 j1 d1$+ 2 2 2$32 #2 22 62 ;2$G2 K2 P2$\2 *`2 $e2${!q2 Ju2 Hz2$&,2 V2 T2$E2`2 d2 `2$2 |2 z2$2 2 2$2 2 3$l3 3 3$#$3 (3 73 ;3 A3$(!M3p3 t3 y3$c3 L3 H3$03 f3 b3$3 3 3 3 3$q3 3 334L4$ +4`N4 R4 W4$m2c4 0g4 (v4 tz4 X4 %4 4$4 c4 [4$4 4 4$g4 4 4$'4 4 4$+4 4 4 5"5 5 $5<5hT5l55$a*5д5 5 5$.5 5 u5$M+5 5 5$%5 5 56"6 6 6:64S6Lr6`6$66 6 6$l6 6 6$M+6$%6 6 6$7 6 7 27 Y7 I+7 /7 47$#@7 D7 I7$-0U7 1Y7 )^7$j7 ]n7 Ys7$?7 7 x7$47$7 7 7$ 7 7 7$7$p!7 #7 7$y7 <7 87$28 S 8 O8$ *8 o!8 k&8$8.28 68 ;8$'G8 K8 T8"g88ȳ8$*88 8 8$m29 Y 9 G9$[9 9 $9$ 09  49  99$ E9 ` I9 V X9 \9 a9$<m9 q9 v9$9 !9 !9$+9 @!9 4!9D9D9 y!9 w!99\:p:$&:I: !M: !R:$^: !b: !g:$s: 4"w: 0"|:$$: {": s":$': ": ":$3: ": ":$: #: #:$: &#: "#:$#: A#: =#:$%; X# ; T#;$<; q#; k#$;$5 0; #4; #C; #G; #V; #Z; #i; $m; $r;$K~; ;$; 5$;$l; [$; Y$;$; m$; e$; ;"s; $; $;x;;x%<3<$^#;<Ю^< $b< $g<$2s< $w< $|<$@*< $< $<$< %< %<$N/< @%< >%< S%< K%<$< }%< {%<X<<$) =-= %1= %6=$HB= %F= %K=$W= %[= %`=$ll= %p= %u=$'= &= &=$-= 6&= .&= =8=>$e >0.> e&2> ]&7>$ B> &F> &K>Tl>t>>>>>$+>? &? &?$m2'? ('+? '9? m'=? e'F?P?" `? 'd? 'n?4x?" ? '? '?Щ???4?@-@ԪH@$S@u@ 'y@ '~@$m2@ I(@ 7(@$ @ (@ (@$m@ .)@ $)@$,3@ o)@ a)@$7@ )@ )@$,@ )@ )@$!A J*A <*A *A *A$<'A *+A *0A$;A *?A *DA$+OA ,+SA +\ALfA"*vA }+zA u+A +A +AجA"NA +A +A +A +AجAجA +A +AA"]B ,B +B ,B ,(B2BKB 1,OB /,XB >,\B <,eBoBB J,B H,B8BDBB$wBPC b,C T,C$Q"C ,&C ,+C$6C -:C ,?C$yJC d-NC V-SC$ ^C -bC -gC$m2rC .vC .ClC"dC >.C 0.C"dC .C .C .C .CC"yC .C .C"yC(D.D 8DVDlDȾDD$s)DD .D .D$m2D `/D L/D$D /E /E$yE J0E 60E$ %E 0)E 0.E$m9E 41=E ,1KE m1OE ]1TE$/_E 1cE 1hE$sE 2wE }2EE"E 2E 2EE"E 2E 2E 2E 2EܼE"E 3E 3F 3F 3FTF"")F 3-F 32F"";F ,3?F (3DF`\FlvF@F@F A3F ?3F\F\F M3F K3FlF FG"?G b3G `3!G7G `RGԽ\G"NlG w3pG u3uGG GGG 3G 3GG G H 3 H 3H4&H 8;HaH0yHDHHHܼI8I,bI{IIHI$"II 3I 3I 3I 3J\J" "J 3&J 3+JhIJ(SJ" cJ 4gJ 4lJDJpJ" J$JJ 0J$J$J$,J0>K$ K .4K &4K$ K W4$K O49K$xGK$WK$mbK 4fK x4oK?yK?K 4K 4K 4K 4K(?KL?aL 4eL 4nL 4rL 4{L 4L 4L?L"L 5L 5L 5L 5L /5L +5L@ML@ M"M G5M E5(M ^5,M Z51Ml@BM [Mt@eM" uM t5yM r5M 5M 5M@M M@M 5M 5M 5M 5M 5M 5N@+N 5/N 58N 5R"NR 3:RR /:[R `:_R X:eR?}R?R@R,@R@@R\DR$,R=S$ S :$S :-S>7S"CS :GS :PS :TS :YS >oS {S$S=S$S :S :S${%S$S=S$S :S :S$S ;T ; T=T=0T ;4T ;>T=HT"TT ';XT #;]T=sT$~T=T$T :;T 6;T$$%T$T$3 T$T$ZT$m2U$!UH7U V;;U L;@U$3LU ;PU ;UUHrU IUIU$Q,UeU D=U 8=U$m2U =U =U$cU =V =V$V =V =V$"&V >*V >/V$I;V a>?V U>DVevVeV$.VcV >V >V$m2V ?V ?V$"W _? W K?W$IW ?W ?#W$3/W @3W U@8W$DW ~BHW nBMWcpWcWTdWxdWL] L] L]$] L] L]$m2] &M] M]d] ]x]ؑ^E^]^{^^^̒^^$^<_$m2_ SM#_ KM(_$8_$D_p<[_$m2g_ ~Mk_ vMp_$_$__$._ M_ M_$_ M_ M_$-0_ M_ M_$1_ N_ N` =N` 5N `$m2` kN` eN`C``$a(``$.` N` N`$` N` N`$` N` N`$-0` N` N`$Ya !O a Oa FOa @O#a$m2/a qO3a kOe$Je@:ae$m2me Rqe Rve$e "Se Se$Qe Se Se$* e Se Se$% e Se Se$.e$e Se Se$-0e Se S f (Tf T f {T$f aT)f$7f$Cf UGf UPf:Zf"kf 5Uof 3Uxf HU|f FUf:f f ;f"f VUf PUf Uf Uf;g<; g"g U"g U+g U/g U4gX;Pg  _g`;ig`;g Ug Ug Vg Vgl;g;g"g Vg Vg OVg AVg;g;h"h Vh V%h V)h V.h;Jh  Yh;ch;h Vh Vh Vh Vh<h@<h@<h Vh Vh Vh VhT<i  iX< iX<9i V=i VFi WJi VOil<ei  qi$i,i$m2i$Qi$* i$% i$i$i$:i0:i$m2j Wj W j$ j :-j$m29j *W=j &WCj$, Oj:fj$m2rj @Wvj k") Ok XSk X]kČgk"8 xk X|k Xk Xk Xk Yk Yk،kk"G k $Yk "Yk =Yk ;Yk SYk OYkl,1l|Nlklllxlllȍm$X+ mp7m$m2Cm nYGm fYVm YZm Y_m$-km Yom Ytm$m Ym Ym$'m Zm Ymm"m LZm HZm m" m aZm _Zm zZm xZn Zn Z n*n<4n" En ZIn ZRn ZVn Z_n Zcn ZhnLnn̊nnn0o0o=oЋZo܋goo$ o@o$"o Zo Zo$Mo 0[o $[o s[o m[o$-o [o [o$p [p [ p$'p [p [$p.p"?p \Cp \MpWptp "\xp \p 0\p ,\p H\p D\p(p(p"p ]\p [\p x\p v\p \p \pD#ql-qlJq \Nq \Wq \[q \dq \hq \mqxqxq"q \q \q \q \q ]q ]qqd rȈ*rHrnrPrr(r0rHsPsl5s$/=sP9Ts$$`s <]ds 6]is$us []ys U]~s$*s ~]s x]s9s"is ]s ]s ]s ]s ]s ]s ]s ]s ]s ]s"it94t9rt9|t"t ]t ]t ^t ^t +^t )^t 6^t 4^t @^t >^t"t9 u :Gu:Wu$2_u8vu$$u L^u H^u$u d^u ^^u$*u ^u ^u9u"Tu ^u ^u ^u ^u ^u ^u ^v ^v"Tv 9JvD9vH9v$)v08v$$v _v ^v$v _v _v$*v =_v 7_vp8w"?w `_w Z_w _ w }_.w _2w _;w _?w _Dw"?Yw|8w8w8w$w7w$m2x _x _ x$.x _x _x$-x$=x$y(Ix `Mx `Rx$bx$*~x 1`x #`x$ x `x `x$2x `x `x$0x `x `x$Kx %ax ax$-x Lax Jax$7#x$m2 y$.y$%y$2y$*?y$Ly$y(Zy$Gfy6}y$$y Yay Uay6y7y$4/y6z$$z oaz ka$J tN tWa" n tr t{ u u$'˕ Juϕ z 6zԠ"  z z z z DFP" ] za zj {n {w K{{ C{T$!$F$1˘$ؘ$$Y3$ $$1'$4$Y3B$$J0m ~{q v{v$ { {$c { {$1 { {$ |ř |ʙ$֙ *|ڙ &|8"  H| B| m|  g|%$--`P |T |Y$e |i |n$cz }~ }$, U} I}$ } }h" Ț }̚ }՚ }ٚ } ~ ~"  o~ i~h ",  ~  ~) ~- ~2СQ["P h l ~u 'y ! g _ܡ$t.`؛ ܛ $c  $, 3 ' $ y s$t." ; ? H L ՀU /Y !^" g k xtt~"  ʁ   ˜՜"  ( " M G  $:$cG$,T$b$$c$,$&$cǝ$%$$1$$$Y3#$%+/Q$ b$ n/$a/Þ$ Ӟ$%ߞ/  $ p-7 ڂ; ΂@$wL P U$H.a de Vj$ v z $ $y$  $ Ÿ ǟ$N/ӟ ן ܟ$% / -$ D 8$  $' + ݄0$< @ E$AR$d$++p t y$ . &$$M S OǠ lˠ dР$'  -"/  .5x.Oh/\/$%p, ԅ Ѕ$H.ɡ ͡ ҡ$ $ $y$   $  $ )$N/5 9 >$%J }N wS$_ c h$t x }$ φ ņ$ / -$A : 8$Ȣ E̢ CѢ$++ݢ P N _ Y$&0+% {) w.$.: > C$H.O S X$ g$ v$y$  $ Ň Ç ۇ ͇£$N/Σ Kң ;ף$%  $ ň $  0 $C%" & +$7 ; K O T$` d s ωw ɉ}$t$.$H.$ $ ˤ$yؤ$C%$xV  / \3 T8$D H QW[Wx |   ފ  $WdWť"֥ ڥ    ! WWW8 1< +E WI UR dV b[WwWWWϦW$vT  p$& ۋ* ϋ/$S; %? D$P zT tY$1e i n$z ~ $$u  Ɍ Ō  ތ$#ŧ$-ѧ է }ڧ$@   $, Ǎ $#  U0UK$SQv 5z %$  $1  $ Ž $u ʨ َΨ ՎӨ$5+ߨ  $y  $  Ə  ď  Џ%$#2$oB$N ӐR ϐW$-c g l$8x | $Y3  $@  1 -$ J D$̩ Щ oթRR $ M7 4; ,@$u L `P \_ c uh$t x }$ Ғ ƒ$1  $ 0 .$@ Ȫ K̪ CѪ$ݪ x p$y  $-  $   %$Y31 5 :NM$(TOv )z $r2 r f$  $% Ô $wƫ ʫ ϫ$@ ګ 4ޫ .$ \ T$,  $-  #O-OI M V ˕Z ɕc ؕg ֕lO8PtPPŬPܬQ$+$ *= A G$d$Oo)  $ $ $r2 B 6­$ͭ ѭ ֭$  $$  $*  ݖ  і$% F! B&$<1 i5 g>(*H"X s\ qe i |r v {"  )$ ̮$,خ$%$$/ $$r2"$^-$O S X$c ͗g Ǘl$Fw { $  e %%%%ȯ&p&&K&w$DK$  $F D $ ̰ а   LL' MIMkM$u$ } u±$.&α ұ ױ$$1${# ݞ ՞$'.$#?$ P$a$t0r$$o$ $-  $Ʋ :ʲ 2ϲ$1۲ e߲ a$O   x$y  $  / 3 <hxF"[W [ d 'h %m"[v 3z 1 C = e a z xx"qdz ˳ Գ س ݳ"q   ՠ ˠ  xx6 (: &C 6G 4P BT @] Ra Lj rn pw ~{ | y"    " ô ̴ աд ͡ٴ ݴ u CuPtvtvv(wǵww  w2,x\DxLxDypy$(-ɶpy$ + $.&  q $$1,${#G -K P$#a$-r$-$- ߣ ۣ$  $1 % !·$O η <ҷ 8׷$y S O$ p f   $ " +& /y9yV dZ bc pg np }t {}  "  yyڸy z 8.zI HX$zp8z XHzdzĹ Թz z (*zE @Uzp X{ p({ƺ ֺL{ h{ .{I Z{u { {ͻ @޻{ X |% p6,|Q bH|} d| |ռ | |- @ >|Y ` j|  } ½(}ݽ D}  `}5 ` Fx}S}q}}  ~ξ(~P~ |~(~LPg xl޿4dLk h{ 0l (.P]thp2 BZr(Lx̄& DHbtȅDp4RȆr ܆ 8 "TB (Rpr @ P `ć x$ < @ E$P T Y$.&d h m$* x ̦| $  $*  P <$  $-  $y  $O    T $%   $ )* ٩. ͩ3$/> B G$,R _V Y[$#f j wsT}T   Ū l  ݪ  ۪  4, K<U"Ne i r v {\ \"^ ) ' < :x x "i F D( Y, W1M \f c a v t ("t  ~   @(D H Q U Zv X   ͫ ˫ p ׫ ի # (D S]"m q z ~ , ,"   $ "H  H"# .' ,0 A4 ?9dU ddn"~ K I ^ \ " h f { y  $"4 8 A E Jf @u"     X"   Ҭ Ь p+5Q ܬU ڬ^ b g "    $ $$    )$ ')<E T<^<z 3~ 1 F DT TT P N c al "l,lH mL kU Y ~^z @      `   # ' ,H Wa"q ĭu ­~ ׭ խ "  ߭   "' + 4 8 =<Y h@r@   . ,X ` X" 8 6 K I| /9""I UM SV hZ f_ r p      5 DN"7^ b k o t 8"B ˮ Ǯ  `8"\   I# ?(,AlKlg ok mt x }xxx     "q! % . 2 7[e Ư į ٯ ׯ"      = A J N S,d 8 <"   0 .\hh : 8  M Kt3t="N WR U[ j_ hdu H " t r     ! &DN"_ c l p u h  " ˰ ɰ ް ܰ$ 0 0 ! % . 2 7< U< _"p t }  X  h " "  5 3   2 ?6 =? RC PH f p" \ Z o m   " y w    & C G P T Y!w!"&   Ʊ ı ! 0!"1 б α  P!-\!7\!T X a e jh!h!"F    ! !"Q ' % : 8!>!H!e Di Br Wv U{!!"f a _ t r! !"q ~ |" & +"O$"Y$"v z   0"0"0"   ˲ ɲH"  """3 ײ7 Ӳ@ D I"m"w" * & U K""" { y  " #"- 1 : > C$#T P tt#~"    س#t#"   5 +h###: [> YG nK lP#n#x" x v  $ $"     $  $ $." > B K ŴO ôT<$p 8 t$t$ ϴ ʹ  $ $$     $0 L$h$.&t$* $$$  $.& ? 7ȟ"<  k g     "R ) - 6 ϵ: ŵ?̟Z d$$C+  $.& 5 - 8"  a$ ]- z1 v: > C" L P Y Ŷ] b<} Xh$Ї$.&    '$ #)$4 D8 :=X b0$0 z rp# ' 0 4 = A J ˷N ɷS"C\ ׷` շel  $$0*=$CV$7,q$1)yI  $ + )$l ; 5$- _ W$'  I0J3hJN$2ZpF}    ڸFFFG HG*`GGGdGG H H4H G K T X ]t$,|@ 8 4$ M G$$$ j f$*$- { y$  $  - 1 6$,B F K$d3W Ҽ[ ʼa$i0  $  $# = 7 ^ Vt$ 0! % *$6 : ?$-K O T$` d i$u y   $, + !$d3 ] S$r/$1  $   $= A M$:U@{$q  $ - #"$' ] U"" | z$-   $+R$ 'q$8}  $$ $  !$)L οP ƿU$a e t %x " f d  " { w0 "  $<=TGTd h mh @h"  t"   " # (LVs w | ("   X" #  !$ 3=" N 6R 4Wm |" I G "* \ Z4 4":) o- m2LH HWLa"Er v {d xd"P  | |"[  # 2<"fM Q Vl {"q   8"|   h "( , 1G V`"q u z   "  $ $" - + <" (1<;<X @\ >aPw XPP S Qd dd f d x! 0x:xW y[ w`v        H/9"J N Si xx"   0"  P \\0 4 9pO ^ph"y } p"   8$oX % $$  f  b$ " |'$3 7 H L Q$ ] a f$r <v 2{$3$ r n$  $1  $k  $  xYY (ZZ.$'6`DY ] b$n r w$ 5 - h \$   $l  $'  D" ? ; DD2 T6 R@DJ"[ `_ ^dDz D"- u sEE"Q  E'HE1HEN R [ _ h l qXEE"`  E D" O S \ ` i m w88      Ddd      $p=Gd *h (q 6u 4~ D B P N \ Z j hȗ $l1>Vn$0\  ( 4E Db Po `} $8 X   t $N   $!   $d!     $y  "   TX X( $C $iO `r  Qv  I{ $  w  q $   $1   $l   $     $#    $  M  I! $-0-  c1  ]6 $nB  F  K $YW  H[  F` $yl  p  Pu $   $Y3   $    $F   | $-   $  *   d |  '  4 , A | N  \ $h `q $   $q    $  Y  G $ 3   $Y3     $  8  6 $  H"  B1  z5  f: $,F  J  O $g-[  _  d qq q 0r r ds s t t $#  t $, &0 B GF EU WY Q^$j zn t$g1$q  ltttTu`u-hu:tuN$Yhp$ {  $  $q k c$  $Y3 3 1$ D > q c$  $1 0 $$$/ s3 g8$kC G L$,W [ `$g-k o {}    $j & $$ M I$# i e$.  |$  $  $[   $$"/ *3 (8hEh]iuj0k|kklllmmtnn $p+$ 6 <: 4?$J oN i_ c h$g1  $  $q  Pppp$ g a$$q/ 3 <\oF\ob f o s xlonxooooo)$8$0,D$Q$&`$0,l$}x$12$\$0,$$12$$0,$$12$0$`$ $,$9$tH$V$8*e$q$$$$@  hx(5BO\iv ,8DP\ht: > Hc "g q 8 4p) N J d ` w u****E I R V _ c s w       /     ) # C A M K @0' Y+ U; m? kH {L uU Y cp0~          0     (  " D @ 7; c? ]H L |U Y b f o s 7,808<! % 6=@=Y 9] 7f Fj Bs=}= Z X0=@= h b`=pJ  #J@J]J|J     = 5 i e  | K 9 pP9 p9 9 9 89 8<: pN: p: %>B%iL%zQ%V%[%`%e%j%o%t%y%~%% %%#%,%5%C%J%R%_%k%x%~%%%%%@80888@9P99:cGpFJpJ=KJHPQ~RSRPS0UU^0_#___0`Q``mnKS`ݛUШ `-0^piL|Pd`@(<Pdx @0@0DXl0 H$p))****0+0p,Dp-///$/8/L@0`p0t0011 101@1P1`1(p1<1P1d1x1111122 202,@2@P2T`2hp2|2222222 2D 3t 4 05 5 6 6( 7< 7d 08 8 P9 :  : 0: @: p< < < 0= @= =$ =L =` =t 0> `DD pFt H I pJJHKtMO8QSPST<UxVXXtZ[p\P](]L^^0__0``Tce$eHPfhxnnp`q` tu(pyЇ@pЍd<ppК@|08h0``l0`Ш 4 p 8!0x!!Ю"|"#д(#`l#0$h$`|$$%Px%0%p%%%%&п&,&@&T&h& |&0&@&P&`&p&&''0'D'X'l''''''$(h((0(X)@.symtab.strtab.shstrtab.rela.text.data.bss.rodata.rodata.str1.8.rodata.cst8.rodata.cst16.rela.data.rel.ro.local.rela.debug_info.debug_abbrev.rela.debug_loclists.rela.debug_aranges.debug_rnglists.rela.debug_line.debug_str.debug_line_str.comment.note.GNU-stack.note.gnu.property.rela.eh_frame @H@`]&,192@H0U h@c@@ 0Q${@A  @x00@A0 8B @@A`0300>QX 0xh)+@GH&, C\: