vendor/libthundersvm.so in thundersvm-0.1.1 vs vendor/libthundersvm.so in thundersvm-0.1.2
- old
+ new
@@ -1,6 +1,7 @@
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+HU(HHX1H9 HPHLHH9H`H}HNHMH)HXHHEH8HEM~p( H01H]I HELELHMHuELeH HE I9IMNHEI)LßLxI9HH`H@H HXH9 HHHH0HH;HH v HH H @ H`H+P1HL0H]LuLL MHEIHuLLmL4HEI9MNHEI)HULLpHE LpLLEHMHuH}ELeHE腞LhLxI9L{ILuHǀHHEՃ D H= wSH-HH)HD$HHLH= wAH-HH)HD$HHHEHMHHu\ @ HHM,HHHMu]}H Hv H}H f AUATUSHHLgDo UHc譈HcHEHuL[IL H>LHHHIHHHHPHHIHHHML9u H)MHM)LE HLEHCHSI@uoIH> IXLXHI0A@H HKLIHVATAp LQH IJ L QASHLmH0H[]A\A] D H6HtWIIxHA@HQH ATAp wH?IIMJ<WpLLJ jmH0H[]A\A] HpfLP- SHH?Ht}H{Ht[}[f. @ AWAVAUATIUSH H~(H^dH%( H$ 1HFLn H|$H~0Hn8 D$@ HD$HD$H H<$H< HD$` HD$h HD$p HD$x HDŽ$ HD$P~sHHD$XQ HIH\$H9 LD$M H|$1f. HIcD HcT HH9~ HH D HcHIH9uHI9uHT$HHH H H9 L< HT$ Ht$L|HHHt$HT$ H 1E1 @ I L<M<HIH9|M<L;$ fI*Y4 H,LHHD$HH9n ~ D IcT1H|$ H|$LD$f I H$ HD$ H|$1E1H IH9wJ< iHD$ HI9 J< hIHD$H9D$xHL$hLL$pILNt$xMD H|$ J HHL$0LD$8LL$(VsLL$(LD$8J LL9sIHD$ LL$(HL$0LD$pHD$hHD$H$ LHL$CzHL$HtH1zHD$`LT$pL\$hLt$XHD$HD$L|$xH Lt$E1Lt$Ld$IHKct b Jc| HH9}?H)H1M<6H4$HIcHH9H HLBM ALuIM9uLt$Ld$L|$xID$HT$PH|$Il$Mt$HD$PID$IT$HT$HHl$XHD$HID$ IT$H$ I|$ HHD$`ID$(M\$(HD$hID$0MT$0HD$pID$8M|$8HD$xID$@IT$@H$ wHwH|$`wH|$hHtxH|$pHtxH$ dH3 %( LO HĘ []A\A]A^A_ Kc|HD$ MLD$pHD$hHD$H$ HD$ E1E11E1 HD$ E1E1I9{f D HHK> H$ HD$ yE1E1azE1E1E1HHhvH|$X^vH|$`TvH|$hHtwH|$pHtwHnH|$ HqwJ{E{H|$hHkH@Ht!{AWAV AUATIUS H8Hcw HodH%( HD$(1Lt$ HD$LLg1MIHHD$g ff. IE HcL$DL$ L@K4f. M f҉Lf D f.ztfHcZL YXHH9uA\AHA9H|$L $p $diHD$(dH3%( uH8[]A\A]A^A_fs D AWAVAUATMUSIcHxHH$ H|$HD$Ht$PHT$@L$HL$XT$0HD$`$ DL$L$ D$ H$ HD$($ D$$@ H?H9R H HpHH1IMjH HHHD$pHH1HD$8#jHpHl$H1IHjHpHH1HiHHl$qpHT$H1HiH|$UpHT$1HiDT$HD$E Ld$LD$8LL$HLT$PL\$@Ld$`H< 1 @ Ict ASAQAPfA*DU AAHH9uLd$D\$DL$E1HDL M%3 AE53 f=R- fEf~-!) Dl$h6 @ 1f(1+f D fE.v3f.]HGf(HH9t+D HcD f.wf.vfD.wHH9uDL$ 1D D A| fDHcAZAHH9u1fD(" fD.v*3A_fD(HL9t1D5 D 1f.wf.vD$fA.wHL9u D\Eu$fE(D$0Ht$(DYDA_fD(D;|$$ fE. t$E 1fD(1fD(ef. fD.vv\E<EXfD(fDWAYEEXEZE\A^fD.A]AGfD(HH9tEAf.vDT D<fD.wfA.vDT$fE.qHH9uLcJ< O LL= LL$M <LL$L ;HDT HfE.D2fE(v
+fE(E\EX L\$A\AL\$XEZD\AfA.A^DwDd$E\fE(D]E]EYfA(AYEXD2T$DD\D~Et$ 1f D A| fD HcAZA\YD\D HH9uDL$AEfD(f(1f D |$DMA҅ H|$8LD$@1LL$X~% f. Ict f(\fWYD AHH9A ufHD$(A*@HjHtHjHtHjMtLjHD$8HtHjMtEHxL[]A\A]A^A_j HIMLd$Hl$1fE(f Hx[]A\A]A^A_fHD$(H*@SFD1E1E1HD$8 11fD(6aD\$HIiHLiLiH|$8iLiHvIHHHܐf. AWAVAUATMUSHLIHHH|$H$ D$0L$(Ht$8T$ McH$ I-dLI"dLKHILL$iLHD$cHIcHt$8HHbH|$HiHHHNj$ VAWHދ$ QAVLAULL$HLD$@T$PL$XD$`rtHx[]A\A]A^A_ AWAVMcAUATIUSHx$ H$ D\$`Ht$XHL$hD$PL$ L$(D$0H$ HT$HDL$HD$8$ D$4H I9k N$ HLL[J HD$HHL$ ZLHD$@ZLIZHL$ HD$HZD\$IċD$L$(HT$HD$PLT$XEۍpL\$D\$`~PLD$LL$@H< 1f Hc AADAT AAA HH9uDT$HD$ H =+ D-+ EfEffED~=[! n D f(1E1 Hc DL E~ fA.D vAf.]DGf(HH9uʋ|$01A HcAAHH9u1f(E1 HH9t9Hc | yAT fA.vAf.]DGHH9f(uDL$01E < DHcAA HH9ufA(1 Hc<DL E~AT f.vA_f(HH9u1fA( D HH9t7Hc<DL EyfA.D vEHH9D_fA(u \\_f(ՋL$u%D OO f(HD$8DYA_fD(|$49|$ fD. D$V H|$Icf(H1IHD$ 1f. Af.veHc | ~ZED fE.vL\HL$E EXfD(fEWAYEDXE\EZA^f.]Gf(HH9u|$(11fD( HH9 Af.vLc B| yfC.D v\LL$ E$EXfD(fDW
p AYE LL$EX E\EZA^fD.A]GHH9fD(z D fD.U |$(f(L|$ EIcLc FD OL A)Ef(~f(\LcHL$C \f( HD$ BX FNcEXBD OT A\Z^AfD(D\fA(]]f(fA*YXAfA*ЋD$Y\A~D|$0HL$ 1fDA DAMcC\ZY\A DHH9uDT$D$EE1f(E1f(fA( L\$ f D T$~HHL$@H|$h1~ @ HcfAD *L \fWYHH9uH|$L\$ gH|$@fLfLfL\$Hx[]A\A]A^A_Lf @ L\$ 1Oi D f. AWAVAUATMUSHLIH8H<$H$ D$ L$Ht$(T[H|$pI7\LI,\LKHILL$aLHD$[HI[Ht$(HH [H<$HaHHHNj$ VAWHދ$ QAVLAULL$@LD$8L$HD$P`Hh[]A\A]A^A_ @ AVATIUSHHXdH%( HD$H1yZHHD$ULIQ[H\$HD$Ht$ ~D$H=%D$Lt$11҉l$@)D$ ~D$D$)D$0hHD$HdH3%( u HX[]A\A^bf HH)H= AWAVAUATIUSHHH LgIHL)HIOHj LHLHH?HLHHL0mAM XZL D If.wZf.w AE9C|KHBf D xA9}}H Hf.wf.vH9s#KpAM sHH HLHHL)H= HI HL`HILHLIHHKLj HLHveM_AXuIIAE AULINAHL)HD$1LD$IAVj HH$eHY^H[]A\A]A^A_IQ AWAVIAUATUSHH(Ht$XHI\I~ HO E11E11- D HtAߋD AHHI9^ L9uLL)HHD$HH H H$H9 H<$"^HT$HtAߋL JM9Ht5L @ H oHHAL9uIUI)IJL HMt LHD$HL$\HD$HL$L$$HIII9^- D L9 H˺? HL)LH $HHHH?HH)HH H $~qHI Lj HaY^H $H9taH ~H$ @ f. P9 PH@f.vՋP HHLj ?aXZHD$HPHt!HIEILfHHUH9uMtPH(L[]A\A]A^A_[ H$ 8 HxH94HD$E1HPHuH([]A\A]A^A_HH91HH$ HH$ HL9 MHtL[H!hH9 HGH9tIHO I)IIDAf.wbf.wD9GVHA! f.w*PD9~" PH@f.v܋P D@HL9u D I HHH~#H D HDHH@DH uDGf. f.wZf.vLf. f. f. f.rw A9 G
+wBËB9F}f.w>f.wB;A|3f.wJf.ʋVwA9=GWF @ BO
+GJ AWGQ F;A0WGVf D F HBSHH?HHH9} I?f.EIw ERE9~Ef. f(LIIH9AEHI}AMHK IILXA MIIAf.vEJf D H D uHII?LHH9 IIIHPAII?IIH9?d @ f.wRAPA9~IHHPIAHH?HLHL9}*IMIIAf.vAP @ HLA AH[ D HT HHIIIEHADHHB HH /home/runner/work/ml-builds/ml-builds/thundersvm/src/thundersvm/cmdparser.cpp Usage (same as LibSVM): thundersvm [options] training_set_file [model_file]
options:
-s svm_type: set type of SVM (default 0)
0 -- C-SVC (multi-class classification)
1 -- nu-SVC (multi-class classification)
2 -- one-class SVM
@@ -479,614 +370,543 @@
options:
-m memory size: constrain the maximum memory size (MB) that thundersvm uses
-u n: specify which gpu to use (default 0)
degree of polynomial kernel < 0 probability != 0 and probability != 1 one-class SVM and SVR probability output not supported yet basic_string::_M_construct null not valid %s: __pos (which is %zu) > this->size() (which is %zu) n-fold cross validation: n must >= 2 the number of cpu cores must be positive or -1 n-fold cross validation: n must >= 2
default unknown svm type unknown kernel type gamma < 0 epsilon <= 0 C <= 0 nu <= 0 or nu > 1 p < 0 max memory size <= 0 / basic_string::substr thundersvm-train thundersvm-train.exe thundersvm-predict shrinking is not supported Unknown option: basic_string::append .model thundersvm-predict.exe Unknown option: -%c
- """" #p # # # # ` h 8 X6866575X4777743843h3H3(33221 bool CMDParser::check_parameter() void CMDParser::parse_python(int, char**) void CMDParser::parse_command_line(int, char**) void HelpInfo_svmpredict() void HelpInfo_svmtrain() N2el4base6NoCopyE N2el4base6WriterE ?vector::_M_range_insert %d:%f Check failed: [ ] #instances = , #features = loading dataset from file " not found /home/runner/work/ml-builds/ml-builds/thundersvm/src/thundersvm/dataset.cpp sscanf(tuple.c_str(), "%d:%f", &i, &v) == 2 read error, using [index]:[value] format sscanf(tuple.c_str(), "%d:%f", &ind, &v) == 2 void DataSet::load_from_dense(int, int, float*, float*) void DataSet::load_from_sparse(int, float*, int*, int*, float*) void DataSet::load_from_python(float*, char**, int) void DataSet::load_from_file(std::__cxx11::string) < void KernelMatrix::dns_dns_mul(const SyncArray<float>&, int, const SyncArray<float>&, SyncArray<float>&) const void KernelMatrix::dns_csr_mul(const SyncArray<float>&, int, SyncArray<float>&) const void KernelMatrix::get_rows(const node2d&, SyncArray<float>&) const void KernelMatrix::get_rows(const SyncArray<int>&, SyncArray<float>&) const
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/home/runner/work/ml-builds/ml-builds/thundersvm/src/thundersvm/kernelmatrix.cpp dense_mat.size() == n_rows * n_features_ dense matrix features doesn't match kernel_rows.size() >= idx.size() * n_instances_ kernel_rows memory is too small kernel_rows.size() >= instances.size() * n_instances_ N2el8LoggableE 9SyncArrayIfE 9SyncArrayIiE ? /home/runner/work/ml-builds/ml-builds/thundersvm/src/thundersvm/model/nusvc.cpp rho = #sv = virtual void NuSVC::train_binary(const DataSet&, int, int, SyncArray<double>&, float_type&)
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5NuSVC ?5NuSVR /home/runner/work/ml-builds/ml-builds/thundersvm/src/thundersvm/model/oneclass_svc.cpp virtual void OneClassSVC::train(const DataSet&, SvmParam) ? ? ? ? ? ? ? ? 11OneClassSVC Exceeds max_iter in multiclass_prob Line search fails in two-class probability estimates Reaching maximal iterations in two-class probability estimates /home/runner/work/ml-builds/ml-builds/thundersvm/src/thundersvm/model/svc.cpp original_index.size() == alpha[k].size() #classes = weighted label #total unique sv = performing probability train vector::_M_default_append predict with probability std::vector<double> SVC::predict_label(const SyncArray<double>&, int) virtual void SVC::train_binary(const DataSet&, int, int, SyncArray<double>&, float_type&) virtual void SVC::train(const DataSet&, SvmParam) virtual void SVC::model_setup(const DataSet&, SvmParam&) ? ? ? ? ? ? ? ? @ @ @ @ @ @ @ @ $ $ $ $ $ $ $ $
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9SyncArrayIdE 3SVC {Gzt?-q= @h㈵>-C 6?|= MbP? z>P?Hz> ? ? ?[[[[P[ int SvmModel::get_working_set_size(int, int) virtual void SvmModel::load_from_file(std::__cxx11::string) virtual void SvmModel::save_to_file(std::__cxx11::string) virtual std::vector<double> SvmModel::cross_validation(DataSet, SvmParam, int) /home/runner/work/ml-builds/ml-builds/thundersvm/src/thundersvm/model/svmmodel.cpp sscanf(tuple.c_str(), "%d:%f", &sv.back().back().index, &sv.back().back().value) == 2 y_predict.size() == test_idx.size() working set size = fs_model.is_open() create file failed svm_type kernel_type degree gamma nr_class coef0 total_sv rho nr_sv SV probA probB : svm_type kernel_type degree nr_class coef0 gamma total_sv rho label nr_sv probA probB SV error when loading model file fold cross-validation ( c_svc nu_svc one_class epsilon_svr nu_svr NULL linear polynomial rbf sigmoid precomputed 8SvmModel C/home/runner/work/ml-builds/ml-builds/thundersvm/src/thundersvm/model/svr.cpp void SVR::save_svr_coef(const SyncArray<double>&, const node2d&) 3SVR /home/runner/work/ml-builds/ml-builds/thundersvm/src/thundersvm/solver/csmosolver.cpp training start global iter = , total local iter = , diff = training finished obj = void CSMOSolver::solve(const KernelMatrix&, const SyncArray<int>&, SyncArray<double>&, float_type&, SyncArray<double>&, float_type, float_type, float_type, int, int) const
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10CSMOSolver MbP?11NuSMOSolver feature == "svm_type" None specified nu is infeasible in auto -w /home/runner/work/ml-builds/ml-builds/thundersvm/src/thundersvm/svm_R_interface.cpp n_cores must be positive or -1 class weight wrong input format! 8 x
- void predict_R(char**, char**, char**) int* train_R(char**, int*, int*, int*, char**, double*, double*, double*, double*, double*, int*, char**, int*, int*, int*, int*, int*, char**) /home/runner/work/ml-builds/ml-builds/thundersvm/dataset/ evaluating training score /home/runner/work/ml-builds/ml-builds/thundersvm/src/thundersvm/svm_interface_api.cpp x2833H+0 void thundersvm_predict_sub(DataSet&, CMDParser&, char*, char*) void thundersvm_train_sub(DataSet&, CMDParser&, char*) , ] /home/runner/work/ml-builds/ml-builds/thundersvm/src/thundersvm/syncarray.cpp destination and source count doesn't match size() == source.size() void SyncArray<T>::copy_from(const SyncArray<T>&) [with T = double] void SyncArray<T>::copy_from(const SyncArray<T>&) [with T = float] void SyncArray<T>::copy_from(const SyncArray<T>&) [with T = int] /home/runner/work/ml-builds/ml-builds/thundersvm/src/thundersvm/syncmem.cpp Cannot use GPU when compiling without GPU ((data)) != nullptr void thunder::SyncMem::set_device_data(void*) void thunder::SyncMem::set_host_data(void*) void thunder::SyncMem::to_device() void thunder::SyncMem::to_host() void* thunder::SyncMem::device_data() cdxexb8c void dense_model_scikit(int, int, float*, float*, int, int, int, float, float, float, float, float, float, int, int, int*, float*, int, int, int, int, int, int*, int*, int*, SvmModel*) void sparse_model_scikit(int, float*, int*, int*, float*, int, int, int, float, float, float, float, float, float, int, int, int*, float*, int, int, int, int, int, int*, int*, int*, SvmModel*)
- /home/runner/work/ml-builds/ml-builds/thundersvm/src/thundersvm/thundersvm-scikit.cpp n_jobs must be positive or -1 ? St11_Mutex_baseILN9__gnu_cxx12_Lock_policyE2EE St16_Sp_counted_baseILN9__gnu_cxx12_Lock_policyE2EE N2el10LogBuilderE St15_Sp_counted_ptrIPN2el4base17DefaultLogBuilderELN9__gnu_cxx12_Lock_policyE2EE St15_Sp_counted_ptrIPN2el4base7StorageELN9__gnu_cxx12_Lock_policyE2EE basic_string::at: __n (which is %zu) >= this->size() (which is %zu) abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789-._ Configuration value not a valid integer [ ASSERTION FAILURE FROM EASYLOGGING++ (LINE: Configuration error - No ending quote found in [ Empty configuration value for [ ) [(quotesStart + 1 != quotesEnd) ) [*currLevel != Level::Unknown ) [currConfig != ConfigurationType::Unknown Unable to open configuration file [ Unable to parse configuration line: ) [(assertionPassed = base::utils::File::pathExists(configurationFile.c_str(), true)) == true %datetime %level [%logger] %msg %datetime %level [%logger] [%user@%host] [%func] [%loc] %msg %datetime %level-%vlevel [%logger] %msg %datetime %level [%logger] [%func] [%loc] %msg vector::_M_range_check: __n (which is %zu) >= this->size() (which is %zu) ]. Not registering this logger. Aborting application. Reason: Fatal log at [ If you wish to disable 'abort on fatal log' please use el::Helpers::addFlag(el::LoggingFlag::DisableApplicationAbortOnFatalLog) Unable to open global configuration file [ %Y-%M-%d %H:%m:%s,%g basic_string::erase GLOBAL DEBUG INFO WARNING ERROR FATAL TRACE UNKNOWN ENABLED FILENAME FORMAT TO_FILE TO_STANDARD_OUTPUT SUBSECOND_PRECISION PERFORMANCE_TRACKING LOG_FLUSH_THRESHOLD MAX_LOG_FILE_SIZE ## TRUE true * basic_string::replace %level %levshort I W F %user %host whoami USER hostname unknown-host HOSTNAME TERM xterm xterm-color xterm-256color screen linux cygwin screen-256color days PM AM %app %logger %thread %file %fbase %line %loc %func %vlevel %datetime map::at ) [valid ] WITH MESSAGE " %Y-%M-%d_%H-%m
- , 9.95.0 02-08-2017 2312hrs [31m [0m [33m [32m [36m [35m enabled toFile toStandardOutput performanceTracking .c .cpp .cc .cxx .-inl.h .hxx .hpp .hh --verbose --VERBOSE --v --V -vmodule -VMODULE ) [(quotesStart < quotesEnd) Unrecognized severity level [ Unrecognized configuration [ ] for parsing. ) [fileStream_.is_open() ) [parsedSuccessfully Configuration file [ ] does not exist! logs/myeasylog.log false 3 --default-log-file Invalid logger ID [ ) [validId Logger [ ] is not registered yet! Fatal log at [ ) [gcfStream.is_open() -- performance %datetime %level %msg DefaultLogDispatchCallback to_file to_standard_output format filename subsecond_precision milliseconds_width performance_tracking max_log_file_size log_flush_threshold global debug info warning error fatal trace us ms seconds minutes hours Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec January February March Apri June July August September October November December Sun Mon Tue Wed Thu Fri Sat Sunday Monday Tuesday Wednesday Thursday Friday Saturday Ph h *ZN2el14Configurations16hasConfigurationENS_17ConfigurationTypeEEUlvE_ *ZN2el14Configurations11setGloballyENS_17ConfigurationTypeERKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEbEUlvE_ *ZN2el14Configurations17unsafeSetGloballyENS_17ConfigurationTypeERKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEbEUlvE_ *ZN2el6Logger5flushEvEUlvE_ *ZN2el6Logger18initUnflushedCountEvEUlvE_ *ZNK2el6Logger23resolveLoggerFormatSpecEvEUlvE_ FvPKcmE N2el4base9threading10ThreadSafeE N2el4base5utils15CommandLineArgsE N2el4base9LogFormatE N2el13ConfigurationE N2el4base5utils16AbstractRegistryINS_13ConfigurationESt6vectorIPS3_SaIS5_EEEE N2el4base5utils16RegistryWithPredINS_13ConfigurationENS3_9PredicateEEE N2el14ConfigurationsE N2el4base19TypedConfigurationsE N2el4base10HitCounterE N2el4base5utils16AbstractRegistryINS0_10HitCounterESt6vectorIPS3_SaIS5_EEEE N2el4base5utils16RegistryWithPredINS0_10HitCounterENS3_9PredicateEEE N2el4base21RegisteredHitCountersE N2el8CallbackINS_15LogDispatchDataEEE N2el19LogDispatchCallbackE N2el6LoggerE N2el4base5utils16AbstractRegistryINS_6LoggerESt3mapINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEPS3_St4lessISA_ESaISt4pairIKSA_SB_EEEEE N2el4base5utils8RegistryINS_6LoggerENSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEEE N2el4base17RegisteredLoggersE N2el4base9VRegistryE N2el4base7StorageE N2el4base26DefaultLogDispatchCallbackE N2el4base17DefaultLogBuilderE N2el4base12PErrorWriterE PFvPKcmE St15_Sp_counted_ptrIPN2el4base26DefaultLogDispatchCallbackELN9__gnu_cxx12_Lock_policyE2EE @@ 8@ zD33?6Metric 8Accuracy 3MSE
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Mean Squared Err Bh@-Bh@Bh@-Bh@h@h@h@-Bh@h@h@h@Bh@h@h@h@h@h@h@'C Ch@Bh@h@h@kBh@h@`Bh@h@h@`Bh@h@h@h@h@h@h@h@8BB8BBBBc@h@B8BBBc@LBVBkBuBBBBuBB CCh@h@h@h@h@h@h@h@h@h@h@h@h@h@h@h@h@-Bh@h@h@h@h@B-B`Bh@h@h@h@h@h@h@h@h@h@h@h@h@h@h@LB8BBBc@LBVBBBc@c@8BBBc@LBVBc@LBBkBuBh@h@B
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nPmmPm nPmmPmPmPmPmmPmPmPmPmnPmPmPmPmPmPmPmpn`nPm nPmPmPmmPmPmmPmPmPmmPmPmPmPmPmPmPmPmmnmm@n@mPm0nmm@mmmmmnnnmnnPnPmPmPmPmPmPmPmPmPmPmPmPmPmPmPmPmPmmPmPmPmPmPmnmmPmPmPmPmPmPmPmPmPmPmPmPmPmPmPmmmm@mmmm@m@mmm@mmm@mm nmmPmPmn5tssstsssssssssss~tssssssssthts*tssstss tsss tsssssssss?tssRtssJtsss tttttttttt]tsssssssssssssssssssssss5ts tsssssssssssssss tsss ttssssss tts t*tttsst @ j@ ??
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+ p `h8|8ؗ8ȕH(Ȕx bool CMDParser::check_parameter() void CMDParser::parse_python(int, char**) void CMDParser::parse_command_line(int, char**) void HelpInfo_svmpredict() void HelpInfo_svmtrain() N2el4base6NoCopyE N2el4base6WriterE ?vector::_M_range_insert %d:%f Check failed: [ ] #instances = , #features = loading dataset from file " not found /home/runner/work/ml-builds/ml-builds/thundersvm/src/thundersvm/dataset.cpp sscanf(tuple.c_str(), "%d:%f", &i, &v) == 2 read error, using [index]:[value] format sscanf(tuple.c_str(), "%d:%f", &ind, &v) == 2 void DataSet::load_from_dense(int, int, float*, float*) void DataSet::load_from_sparse(int, float*, int*, int*, float*) void DataSet::load_from_python(float*, char**, int) void DataSet::load_from_file(std::__cxx11::string) l+P+ void KernelMatrix::dns_dns_mul(const SyncArray<float>&, int, const SyncArray<float>&, SyncArray<float>&) const void KernelMatrix::dns_csr_mul(const SyncArray<float>&, int, SyncArray<float>&) const void KernelMatrix::get_rows(const node2d&, SyncArray<float>&) const void KernelMatrix::get_rows(const SyncArray<int>&, SyncArray<float>&) const /home/runner/work/ml-builds/ml-builds/thundersvm/src/thundersvm/kernelmatrix.cpp dense_mat.size() == n_rows * n_features_ dense matrix features doesn't match kernel_rows.size() >= idx.size() * n_instances_ kernel_rows memory is too small kernel_rows.size() >= instances.size() * n_instances_ N2el8LoggableE 9SyncArrayIfE 9SyncArrayIiE ? /home/runner/work/ml-builds/ml-builds/thundersvm/src/thundersvm/model/nusvc.cpp rho = #sv = virtual void NuSVC::train_binary(const DataSet&, int, int, SyncArray<double>&, float_type&) 5NuSVC ? 5NuSVR /home/runner/work/ml-builds/ml-builds/thundersvm/src/thundersvm/model/oneclass_svc.cpp virtual void OneClassSVC::train(const DataSet&, SvmParam) 11OneClassSVC ? ? Exceeds max_iter in multiclass_prob Line search fails in two-class probability estimates Reaching maximal iterations in two-class probability estimates /home/runner/work/ml-builds/ml-builds/thundersvm/src/thundersvm/model/svc.cpp original_index.size() == alpha[k].size() #classes = weighted label #total unique sv = performing probability train vector::_M_default_append predict with probability std::vector<double> SVC::predict_label(const SyncArray<double>&, int) virtual void SVC::train_binary(const DataSet&, int, int, SyncArray<double>&, float_type&) virtual void SVC::train(const DataSet&, SvmParam) virtual void SVC::model_setup(const DataSet&, SvmParam&) 9SyncArrayIdE 3SVC {Gzt?-q= @h㈵>-C 6?|= ? MbP? z>P?Hz> P int SvmModel::get_working_set_size(int, int) virtual void SvmModel::load_from_file(std::__cxx11::string) virtual void SvmModel::save_to_file(std::__cxx11::string) virtual std::vector<double> SvmModel::cross_validation(DataSet, SvmParam, int) /home/runner/work/ml-builds/ml-builds/thundersvm/src/thundersvm/model/svmmodel.cpp sscanf(tuple.c_str(), "%d:%f", &sv.back().back().index, &sv.back().back().value) == 2 y_predict.size() == test_idx.size() working set size = fs_model.is_open() create file failed svm_type kernel_type degree gamma nr_class coef0 total_sv rho nr_sv SV probA probB : svm_type kernel_type degree nr_class coef0 gamma total_sv rho label nr_sv probA probB SV error when loading model file fold cross-validation ( c_svc nu_svc one_class epsilon_svr nu_svr NULL linear polynomial rbf sigmoid precomputed 8SvmModel K C/home/runner/work/ml-builds/ml-builds/thundersvm/src/thundersvm/model/svr.cpp void SVR::save_svr_coef(const SyncArray<double>&, const node2d&) 3SVR /home/runner/work/ml-builds/ml-builds/thundersvm/src/thundersvm/solver/csmosolver.cpp training start global iter = , total local iter = , diff = training finished obj = void CSMOSolver::solve(const KernelMatrix&, const SyncArray<int>&, SyncArray<double>&, float_type&, SyncArray<double>&, float_type, float_type, float_type, int, int) const 10CSMOSolver MbP?11NuSMOSolver feature == "svm_type" None specified nu is infeasible in auto -w /home/runner/work/ml-builds/ml-builds/thundersvm/src/thundersvm/svm_R_interface.cpp n_cores must be positive or -1 class weight wrong input format! PZYX[H void predict_R(char**, char**, char**) int* train_R(char**, int*, int*, int*, char**, double*, double*, double*, double*, double*, int*, char**, int*, int*, int*, int*, int*, char**) /home/runner/work/ml-builds/ml-builds/thundersvm/dataset/ evaluating training score /home/runner/work/ml-builds/ml-builds/thundersvm/src/thundersvm/svm_interface_api.cpp p@ z void thundersvm_predict_sub(DataSet&, CMDParser&, char*, char*) void thundersvm_train_sub(DataSet&, CMDParser&, char*) , ] /home/runner/work/ml-builds/ml-builds/thundersvm/src/thundersvm/syncarray.cpp destination and source count doesn't match size() == source.size() void SyncArray<T>::copy_from(const SyncArray<T>&) [with T = double] void SyncArray<T>::copy_from(const SyncArray<T>&) [with T = float] void SyncArray<T>::copy_from(const SyncArray<T>&) [with T = int] /home/runner/work/ml-builds/ml-builds/thundersvm/src/thundersvm/syncmem.cpp Cannot use GPU when compiling without GPU ((data)) != nullptr void thunder::SyncMem::set_device_data(void*) void thunder::SyncMem::set_host_data(void*) void thunder::SyncMem::to_device() void thunder::SyncMem::to_host() void* thunder::SyncMem::device_data() @дx void dense_model_scikit(int, int, float*, float*, int, int, int, float, float, float, float, float, float, int, int, int*, float*, int, int, int, int, int, int*, int*, int*, SvmModel*) void sparse_model_scikit(int, float*, int*, int*, float*, int, int, int, float, float, float, float, float, float, int, int, int*, float*, int, int, int, int, int, int*, int*, int*, SvmModel*) /home/runner/work/ml-builds/ml-builds/thundersvm/src/thundersvm/thundersvm-scikit.cpp n_jobs must be positive or -1 ?St11_Mutex_baseILN9__gnu_cxx12_Lock_policyE2EE St16_Sp_counted_baseILN9__gnu_cxx12_Lock_policyE2EE N2el10LogBuilderE St15_Sp_counted_ptrIPN2el4base17DefaultLogBuilderELN9__gnu_cxx12_Lock_policyE2EE St15_Sp_counted_ptrIPN2el4base7StorageELN9__gnu_cxx12_Lock_policyE2EE basic_string::at: __n (which is %zu) >= this->size() (which is %zu) abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789-._ Configuration value not a valid integer [ ASSERTION FAILURE FROM EASYLOGGING++ (LINE: Configuration error - No ending quote found in [ Empty configuration value for [ ) [(quotesStart + 1 != quotesEnd) ) [*currLevel != Level::Unknown ) [currConfig != ConfigurationType::Unknown Unable to open configuration file [ Unable to parse configuration line: ) [(assertionPassed = base::utils::File::pathExists(configurationFile.c_str(), true)) == true %datetime %level [%logger] %msg %datetime %level [%logger] [%user@%host] [%func] [%loc] %msg %datetime %level-%vlevel [%logger] %msg %datetime %level [%logger] [%func] [%loc] %msg vector::_M_range_check: __n (which is %zu) >= this->size() (which is %zu) ]. Not registering this logger. Aborting application. Reason: Fatal log at [ If you wish to disable 'abort on fatal log' please use el::Helpers::addFlag(el::LoggingFlag::DisableApplicationAbortOnFatalLog) Unable to open global configuration file [ %Y-%M-%d %H:%m:%s,%g basic_string::erase GLOBAL DEBUG INFO WARNING ERROR FATAL TRACE UNKNOWN ENABLED FILENAME FORMAT TO_FILE TO_STANDARD_OUTPUT SUBSECOND_PRECISION PERFORMANCE_TRACKING LOG_FLUSH_THRESHOLD MAX_LOG_FILE_SIZE ## TRUE true * basic_string::replace %level %levshort I W F %user %host whoami USER hostname unknown-host HOSTNAME TERM xterm xterm-color xterm-256color screen linux cygwin screen-256color days PM AM %app %logger %thread %file %fbase %line %loc %func %vlevel %datetime map::at ) [valid ] WITH MESSAGE " %Y-%M-%d_%H-%m
+ , 9.95.0 02-08-2017 2312hrs [31m [0m [33m [32m [36m [35m enabled toFile toStandardOutput performanceTracking .c .cpp .cc .cxx .-inl.h .hxx .hpp .hh --verbose --VERBOSE --v --V -vmodule -VMODULE ) [(quotesStart < quotesEnd) Unrecognized severity level [ Unrecognized configuration [ ] for parsing. ) [fileStream_.is_open() ) [parsedSuccessfully Configuration file [ ] does not exist! logs/myeasylog.log false 3 --default-log-file Invalid logger ID [ ) [validId Logger [ ] is not registered yet! Fatal log at [ ) [gcfStream.is_open() -- performance %datetime %level %msg DefaultLogDispatchCallback to_file to_standard_output format filename subsecond_precision milliseconds_width performance_tracking max_log_file_size log_flush_threshold global debug info warning error fatal trace us ms seconds minutes hours Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec January February March Apri June July August September October November December Sun Mon Tue Wed Thu Fri Sat Sunday Monday Tuesday Wednesday Thursday Friday Saturday 0>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> > >>>>0>>>>>>>>>>>@>>>>>>>p>>>>>>>>>>>>>>>>> *ZN2el14Configurations16hasConfigurationENS_17ConfigurationTypeEEUlvE_ *ZN2el14Configurations11setGloballyENS_17ConfigurationTypeERKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEbEUlvE_ *ZN2el14Configurations17unsafeSetGloballyENS_17ConfigurationTypeERKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEbEUlvE_ *ZN2el6Logger5flushEvEUlvE_ *ZN2el6Logger18initUnflushedCountEvEUlvE_ *ZNK2el6Logger23resolveLoggerFormatSpecEvEUlvE_ FvPKcmE N2el4base9threading10ThreadSafeE N2el4base5utils15CommandLineArgsE N2el4base9LogFormatE N2el13ConfigurationE N2el4base5utils16AbstractRegistryINS_13ConfigurationESt6vectorIPS3_SaIS5_EEEE N2el4base5utils16RegistryWithPredINS_13ConfigurationENS3_9PredicateEEE N2el14ConfigurationsE N2el4base19TypedConfigurationsE N2el4base10HitCounterE N2el4base5utils16AbstractRegistryINS0_10HitCounterESt6vectorIPS3_SaIS5_EEEE N2el4base5utils16RegistryWithPredINS0_10HitCounterENS3_9PredicateEEE N2el4base21RegisteredHitCountersE N2el8CallbackINS_15LogDispatchDataEEE N2el19LogDispatchCallbackE N2el6LoggerE N2el4base5utils16AbstractRegistryINS_6LoggerESt3mapINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEPS3_St4lessISA_ESaISt4pairIKSA_SB_EEEEE N2el4base5utils8RegistryINS_6LoggerENSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEEE N2el4base17RegisteredLoggersE N2el4base9VRegistryE N2el4base7StorageE N2el4base26DefaultLogDispatchCallbackE N2el4base17DefaultLogBuilderE N2el4base12PErrorWriterE PFvPKcmE St15_Sp_counted_ptrIPN2el4base26DefaultLogDispatchCallbackELN9__gnu_cxx12_Lock_policyE2EE @@ 8@ zD33?6Metric 8Accuracy 3MSE Mean Squared Errll?llll?lllll?llllllllllllllllyllllclllqllllqlllllllllGllGlNlllllGlNllUl\lcljllmljlllllllllllllllllllll?lllllll?lqllllllllllllllllUlGlNllUl\lNlllGlNllUl\llUlylcljllll ``0````````````````p`````` ``` ````````PP`@PЍ ``````````````````````` ```````````````PЍPPPЍP``Ўt^SH
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+8D0A(B BBBE L 4 ( BBB B(D0A8G
+8A0A(B BBBJ H SQ BBB B(A0A8G@]
+8D0A(B BBBE P x l n BBB B(D0A8P4
+8A0A(B BBBE $ TB IqF H @ T. BBE B(D0A8GP
+8A0A(B BBBJ 8 4 @ n AC
In .pI.
- A P 80 so BBD B(D0A8PV
-8A0A(B BBBA x H $# N
- Vv Kvxvp
vh v`EvXDvPL
-
- M G 8 HvXvPv v`
vhvpvx 8 l * o AC
HD
- G +.. H BBL B(D0A8TPq
-8D0A(B BBBA L . K^ \ o E
- Iv Kvxvp
vh v`EvXDvP2.pr. q.. d
-
- M G 8P < IBB D(A0
-(A BBBE , @ T h | | x t p l h d ` 0 \ D X , X DDC
-ABD H X m BBB A(C0H
-0A(A BBBI L `1 Hm E
- Iv GvxvpMvX
vh v`UvP
-
- M J H L M rBB B(D0A8MP
-8A0A(B BBBE L @ & +m E
- Iv Kvxvp
vh v`IvXVvP
-
- M F 8 0 m AC
HD .p_.
- B $ ؑ. K^ @ `DD n AC
HK .p*. T. s
- A x. @ lK BBL D(A0
-(D BBBD P l (N m BBB B(D0A8O
-8A0A(B BBBG . K^ 0 U AP D U m AJ
HN.z.pu. .J.
- E H \ BBE B(D0A8Mp
-8A0A(B BBBA L ] BAD J0
+ A P p n BBD B(D0A8Nx
+8A0A(B BBBA x U KBE B(D0A8Qp[
+8A0A(B BBBA p8A0A(B BBBFHp 8 @ D9 o AC
HD
+ G L.. H (E BBL B(D0A8TPq
+8D0A(B BBBA . K^ @ tE
+ n AC
HG/.pr. u.. q
+ E | < ,[ IBB D(A0
+(A BBBA [ [ [ [ [ 4 [ H [ \ [ p [ [ [ [ [ [ [ [ , \\ DDC
+ABD @ <] T 8] H 4]T l BBB A(C0HM
+0A(A BBBI P \ H` l BBB B(D0A8J
+8A0A(B BBBG H rBB B(D0A8MP
+8A0A(B BBBE P r l BBB B(D0A8J
+4
+8A0A(B BBBK 8 P [m AC
HD .p_.
+ B (. K^ @ `/ m AC
HK .p'. W. s
+ A x. @ @ L BBL D(A0
+(D BBBD P , Cm BBB B(D0A8O{
+8A0A(B BBBG d. K^ \ AP D ` Wm AJ
HN.z.pu. .J.
+ E H T ȳ BBE B(D0A8Mp
+8A0A(B BBBI L L BAD J0
AAFL I
- AABC d AAB 0 _A A{ H L @_ BBD A(J0w
-(A ABBH L(A ABB H D{. BBE B(D0A8GP
-8A0A(B BBBF x. K^ P @_3 l BHB E(A0D8J
-8A0A(B BBBI ` ,b_ Zl E
- Iv Kvxvp
vh v`EvXHvP. y. F.0g.
-
- M E H X{[ BBE B(D0A8Jp
-8A0A(B BBBA l~E A 8 ~ E
- Lv Gvp vxDvh
-
- G K 8 X 4I BBD A(MP
-(A ABBK . K^ L T 0? k E
- Tv Kvxvp
vh v`EvXOvP
-
- M A \ 7l E
- Iv MvXvxvp
vh v`HvP
.pE.
-
- M G .p. \ `. K^ , ; l AAI T
-DAA At
-K A L gl E
- Iv GvxvpMvX
vh v`HvP
-
- M G D l E
- Iv Kv`vx
vp vhDvX
-
- K A H l l E
- Nv MvXvxvp
vh v`AvP
-
- M G D d 3 cl AF
HMt.pq.
- J .p. H l E
- Nv MvXvxvp
vh v`AvP
-
- M G < | l E
- Iv Gvp vxAvh
-
- G A \M AG 2 Ac
-L A AL 2 Ac
-L A AL $ 2 Ac
-L A D AL , X k IDA p
-ABA ( AQ 8 , BBE D(H0(P BBB AQ AQ 4 AQ P d x $ . AAJ MLA ( 2 BAD [IB 0 c 3j BAD B
-ABA (! <! P! , ! X i IDA p
-ABA ! ( ! 4 AQ 8 ! 8 BBE D(H0(P BBB " AQ " AQ 8" AQ T" h" |" " $ " . AAJ MLA ( " 4 BAD ]IB 0 " c Oh BAD B
-ABA ,# @# T# , # X g IDA p
-ABA # D # P AQ 8 # T BBE D(H0(P BBB $ AQ $ AQ <$ AQ X$ l$ $ $ $ $ . AAJ MLA ( $ 4 BAD ]IB 0 $ c kf BAD B
-ABA 0% , D% ( X% $ P % f BBB B(D0A8JK
-8A0A(B BBBD P h% e BBB B(D0A8JK
-8A0A(B BBBD P % X e BBB B(D0A8JK
-8A0A(B BBBD h& ԃ. K^ & ' & # & Z & \ & X @ & T d BBH A(OC
-(A ABBK 4 & d BAA Du
- AABG d' AM 8 (' ld BAH I<
- AABD L d' Ed BBB B(D0A8J_
-8A0A(B BBBH 8 ' d BAH I<
- AABD H( $. K^ @ d( JL
F
- E
- E
- E
- E E, ( RAD DB ( L ( Cc E
- Iv Kvxvp
vh v`FvXJvP
-
- M A L ( c E
- Iv Kvxvp
vh v`FvXJvP
-
- M A ) p ) l \ \) h b BE
Iv IvhvxvpF v`vX\
-
I BJ [
-
I BJ @ ) b E
- Lv G
vx vpFvhDv`
-
- I H @ * T mb E
- Ov G
vx vpFvhDv`
-
- I H @ D* 0# ;b E
- Lv G
vx vpFvhDv`
-
- I H @ * ' b E
- Lv G
vx vpFvhDv`
-
- I H L * *Q a E
- Iv Kvxvp
vh v`IvXQvP
-
- M C L + / a E
- Iv Kvxvp
vh v`IvXTvP
-
- M C L l+ 45 ba BBB B(A0A8D
-8A0A(B BBBA L + 55 a BBB B(A0A8D
-8A0A(B BBBA \ d, 6 BBE A(A0d
+ AABK d AAB ̶A A{ H BBD A(J0~
+(A ABBI L(A ABB H X $. BBE B(D0A8GP
+8A0A(B BBBF . K^ P d ' k BFB E(A0D8J
+8A0A(B BBBK @ k AC
HNu. e. .0g.
+ K H T X[ BBE B(D0A8Jp
+8A0A(B BBBI lE A ( AAM0
+AAF 8 I BBD A(MP
+(A ABBH $ x. K^ P O sk BBG B(G0A8R
+8A0A(B BBBD @ 8 |S k AC
P
.p@.
+ E .p. . K^ ,
8 wl AAI T
+DAA `E At
+K A < p
P |
#l BBB B(A0A8G
+8A0A(B BBBC @ L l BBD A(L
+(A ABBA P !p Ml BBE B(C0A8G
+8A0A(B BBBH D & l AC
HK.pq.
+ D .p$. P , h< l BBE B(C0A8G
+8A0A(B BBBH 0 @ cl AAM
+y
+AAA M AG , C2 Ac
+L A L D AL h D2 Ac
+L A $D AL (D2 Ac
+L A HD AL , LDU kk IDA p
+ABA |D $ D AQ 8 @ D BBE D(H0(P BBB | E AQ E AQ E AQ E E E E $ E. AAJ MLA ( H E2 BAD [IB 0 (E` i BAD B
+ABA TE PE LE , HEU i IDA p
+ABA ! xE (! E AQ 8 D! E BBE D(H0(P BBB ! F AQ ! F AQ ! $F AQ ! (F ! $F ! F " F $ $" F. AAJ MLA ( L" F4 BAD ]IB 0 " 4F` h BAD B
+ABA " `F " \F " XF , " TFU g IDA p
+ABA # F ,# F AQ 8 H# F BBE D(H0(P BBB # G AQ # G AQ # G AQ # $G # G $ G $ G $ ($ G. AAJ MLA ( P$ G4 BAD ]IB 0 $$ 0G` f BAD B
+ABA $ \G $ XG $ TG P $ PG e BBB B(D0A8JK
+8A0A(B BBBD P $ I e BBB B(D0A8JK
+8A0A(B BBBD P <% L Me BBB B(D0A8JK
+8A0A(B BBBD % d. K^ & O' & $O# ,& @OZ @& O T& O @ & O d BBH A(OC
+(A ABBK 4 T& Q ed BAA Du
+ AABG & R AM 8 & R d BAH I<
+ AABD L & @T c BBB B(D0A8J_
+8A0A(B BBBH 8 4' V c BAH I<
+ AABD ' . K^ 0 ' X V
+G
+G
+G
+G , ( [ RAD DB H( \ P ( \ c BBE B(D0A8P
+8A0A(B BBBG P X( ` b BBE B(D0A8P
+8A0A(B BBBG ) (d ) $d d ( dp wb BBE B(D0A8Dp
+8D0A(B BBBG W
+8A0A(B BBBG 4 <) (i Ob BAD J@q
+ AABJ 4 t) k9 )b BDA M@
+ AABF 4 ) m1 b BAD J@
+ AABF 4 ) o1 a BAD J@
+ AABF P * qn a BBE B(D0A8M
+8A0A(B BBBE P p* 4t! {a BBE B(D0A8P
+8A0A(B BBBE L * w- 9a BBB B(A0A8D
+8A0A(B BBBA L + w- ` BBB B(A0A8D
+8A0A(B BBBA \ + x BBE A(A0d
(A BBBJ |
(D BBBJ I
-(A BBBE , 6
AK , 6
AK , 6 - 6
AK T , 6/ ` E
- Iv Kvxvp
vh v`EvXAvP.p.
-
- M F T ,- A ` E
- Iv Kvxvp
vh v`EvXAvP.p.
-
- M F - |. K^ - 8L . 4L . 0L 0. <L D. 8L X. DL l. @L . <L . 8L . 4L . 0Lm A[
-D G . Lb IM
-J | , . { ^ AAK@-
-AAA ,/ L @/ \3 T/ X3 h/ T3 |/ P3 / L3 / H3 / D3 / @3 / <3 / 83 0 43 0 03 00 ,3
D0 K6 X0 K6 l0 K6 0 2 0 2. 0 3 0 3 0 2 0 2 0 2 1 2 1 2 41 2 H1 2 \1 2 p1 2 1 2 1 2 1 2 1 2 1 2
1 2 1 2 2 2 $2 2 82 2 L2 2 `2 2 t2 2 2 2 2 2* 2 2- H` 2 2 Hi
-O A 2 P3 AL 3 T3 L 3 I BBB A(A0m
+(A BBBE , y
AK 8, y
AK T, y h, y
AK 8 ,, x
+
+ _ AC
HD.p.
+ D 8 h, ̂
+
+ _ AC
HD.p.
+ D , . K^ - (- <- P- d- x- - - - - - m A[
+D G - Ќb IM
+J | , - ^ AAK@-
+AAA L. `. \o t. Xo . To . Po . Lo . Ho . Do . @o / <o / 8o (/ 4o </ 0o P/ ,o
d/ 6 x/ 6 / @6 / n / n. / o / o / n 0 n 0 n ,0 n @0 n T0 n h0 n |0 n 0 n 0 n 0 n 0 n 0 n 0 n
1 n 1 n 01 n D1 n X1 n l1 n 1 n 1 n 1 n 1 n* 1 n- H` 1 n Hi
+O A 2 Po AL (2 To L <2 Љ BBB A(A0m
(C BBBB E
-(A BBBD 4 l3 Jy HAG V
-CAF kCAA 4 3 XJy HAG V
-CAF kCAA 4 3 Jy HAG V
-CAF kCAA 4 JC Ac
-D U , 44 H2\ BAA L
-ABE H d4 x2 MAD t
+(A BBBD 4 2 `y HAG V
+CAF eCAG 4 2 y HAG V
+CAF eCAG 4 2 y HAG V
+CAF eCAG 43 8C Ac
+D U , T3 Hn\ BAA L
+ABE H 3 xn MAD t
AAH |AABH \
-AAA 0 4 J BAD G0c
- AABK 4 8K> AR bD L 4 XK 'Y BBB B(D0A8M
-8A0A(B BBBH 8 T5 H2 BBA A(D0t
-(A ABBD ` 5 26 BBB B(A0A8D@^
+AAA 0 3 BAD G0c
+ AABK 4 > AR bD L 3 #Y BBB B(D0A8M
+8A0A(B BBBH 8 t4 Hn BBA A(D0t
+(A ABBD ` 4 n6 BBB B(A0A8D@^
8A0A(B BBBJ
-8A0A(B BBBE 4 5 x3 IDA f
-ABI IAB , ,6 3 IDA k
-DBI D \6 04 BAA w
+8A0A(B BBBE 4 5 xo IDA f
+ABI IAB , L5 o IDA k
+DBI D |5 0p BAA w
ABB \
ABA Z
-ABA , 6 4 IDA k
-DBI 4 6 5 IDA f
-ABI IAB ` 7 p56 BBB B(A0A8D@^
+ABA , 5 p IDA k
+DBI 4 5 q IDA f
+ABI IAB ` ,6 pq6 BBB B(A0A8D@^
8A0A(B BBBJ
-8A0A(B BBBE H p7 J BBH B(D0A8Q@h
-8A0A(B BBBJ 8 7 6 BBD A(D0
-(D ABBN 8 7 6 BBD A(D0
-(D ABBH H 48 87 BBD A(D0
-(A ABBF T(A ABB H 8 7 BBD A(D0
-(A ABBH T(A ABB 0 8 `8K AAD X
-GAJ QAA 0 9 |8K AAD X
-GAJ QAA ( 49 87 BGA iAB `9 8B Au
-J A 9 8= A{ 9 In ( 9 I< AAJ h
-AAA 9 J} $ 9 lJr AAJ \DA : J@ ,: J' Db H: K2 \: 0K p: ,K : 8K? , @: dK S AALp
-AAA 0 : TLm BAH NP
- AABH , : M \S AARpy
-AAA , : N :S AAKp}
-AAA 0 ; N S AC
O
- B 8 ; Qz BBA A(F@b
-(A ABBA ; QT GG
-A < ; $R R BBD A(D`r
-(A ABBK 0 (< S BAD T0
- AABK ( \< @TR BAD CAB 8 < tT BBE A(D0r(A BBB 4 < T AAG y
+8A0A(B BBBE H 6 BBH B(D0A8Q@h
+8A0A(B BBBJ 8 6 r BBD A(D0
+(D ABBN 8 7 r BBD A(D0
+(D ABBH H T7 8s BBD A(D0
+(A ABBF T(A ABB H 7 s BBD A(D0
+(A ABBH T(A ABB 0 7 `tK AAD X
+GAJ QAA 0 8 |tK AAD X
+GAJ QAA ( T8 t7 BGA iAB 8 tB Au
+J A 8 t= A{ 8 Љn ( 8 ,< AAJ h
+AAA 8 @} $ 9 r AAJ \DA 89 @ L9 0' Db h9 D2 |9 p 9 l 9 x? , `9 S AALp
+AAA 0 9 m BAH NP
+ AABH , 9 XS AARp|
+AAA , 9 P 6S AAKp
+AAA L $: S BBB B(A0A8Dp
+8D0A(B BBBI 8 : z BBA A(F@b
+(A ABBA ; T GG
+A < : ( R BBD A(D`r
+(A ABBK 0 d; BAD T0
+ AABK ( ; DR BAD CAB 8 ; x BBE A(D0r(A BBB 4 < ̔ AAG y
AAD [
-AAK L < U8 BBB A(D0
+AAK L 8< $8 BBB A(D0
(D BBBH m
-(A BBBD < L= V2 BBE A(A0
-(A BBBF = W DI = WQ Aa
-F h = XW( TS , = pW P AAN`X
-AAA , = W P AAN`X
-AAA <> PX, ZQ P = hXS P BBE B(D0A8Gg
-8A0A(B BBBH L > t[ \
- Zv GvpvxAvh
- G FBvpvhv vx @ > $\ BBE A(D0N@d
-0D(A BBBE L <? \ BEE H(G0V
+(A BBBD < < 2 BBE A(A0
+(A BBBF < DI < Q Aa
+F h = \( TS , < t P AAN`X
+AAA , < ԗ P AAN`X
+AAA x= 4, ZQ P 8= L4 lP BBE B(D0A8Gg
+8A0A(B BBBH = 8* @ = T BBE A(D0N@d
+0D(A BBBE L <> BEE H(G0V
(A BBBH ^
-(A BBBK < 4? p] O BBD A(Dz
-(A ABBC ( ? c< BAD qAB ? 4c2 ^N X @ \c TBA A(J0K
-(A ABBE n(A ABBDH0 4 l@ cH BAD g
-FBJ DAB 4 @ cH BAD j
-FBG DAB @ c3 4 @ cR BAA }
-ABD AFB (A dD <A Pdu D0
-E XA g ( lA g2 BAD gAB 0 A g BAA J
- AABA 0 A hM AAM ^
-DAF ODA B hP A\ i
-DA $B hP A\ i
-DA ( HB i AATP_
-AAI tB i @ 0B i M BBD A(Q
-(A ABBJ B nx B <oE AG s
-DA H C ho BBF B(A0A8D@b
-8D0A(B BBBG @ PC ,q BBE A(D0G
-0A(A BBBA 0 C qa BAD J@C
- DABA 8 C q BBE A(G`
-(A ABBD 8 D hr BBA A(K`
-(A ABBI @D ,s TD 8s H hD Ds BBB B(A0A8G@
-8D0A(B BBBF D sX D pD 4t K BBF A(E0O@
-0A(A BBBA L D tB vK BBB B(A0A8R@
-8A0A(B BBBA D `E u BBB B(A0A8R@8K0A(B BBB$ E va AAG RDA4 xE w[ J BAD D`
- AABE D E 4y5 J BBB A(E0S@
-0A(A BBBA $ E ,z J Ai
-A X
-E $ F z wJ Ai
-A X
-E 4 HF { cJ BAA GPu
- AABA $ F { ?J Ai
-A X
-E P F |c
- +J BBB B(A0A8J2
-8A0A(B BBBH $ F ( J Ai
-A X
-E $ $G J AK
+(A BBBK < 4> O BBD A(Dz
+(A ABBC ( > 0< BAD qAB > D2 ^N X ? l TBA A(J0K
+(A ABBE n(A ABBDH0 4 l? H BAD g
+FBJ DAB 4 ? H BAD j
+FBG DAB ? Т3 4 ? R BAA }
+ABD AFB (@ $D <@ `u D0
+E X@ Ħ ( l@ 2 BAD gAB 0 @ Ԧ BAA J
+ AABA 0 @ M AAM ^
+DAF ODA A ̧P A\ i
+DA $A P A\ i
+DA ( HA $ AATP_
+AAI tA @ 0A M BBD A(Q
+(A ABBF A x A LE AG s
+DA H B x BBF B(A0A8D@b
+8D0A(B BBBG @ PB < BBE A(D0G
+0A(A BBBA 0 B a BAD J@C
+ DABA 8 B BBE A(G`
+(A ABBD 8 C x BBA A(K`
+(A ABBI @C < TC H H hC T BBB B(A0A8G@
+8D0A(B BBBF C X D pC D K BBF A(E0O@
+0A(A BBBA L C 1 K BBB B(A0A8R@
+8A0A(B BBBA D `D BBB B(A0A8R@8K0A(B BBB$ D a AAG RDA4 xD S J BAD D`
+ AABE D D $' J BBB A(E0S@
+0A(A BBBA $ D J Ai
+A U
+H $ E J Ai
+A U
+H 4 HE J BAA GPu
+ AABA $ E t [J Ai
+A U
+H P E
+ GJ BBB B(A0A8J*
+8A0A(B BBBH $ E J Ai
+A U
+H $ $F 0 J AK
D f
-J LG ( J X hG J X8 G 0 J BAD JG
- AABD P G m fJ BBF B(A0A8J
-8A0A(B BBBF P H ?J BBE B(H0A8I
-8A0A(B BBBE $ H I AAK yAA H đ: H D H B I BBE A(D0GE
-0A(A BBBF XI ( < lI AAG {
+J LF J U hF < J U8 F J BAD JG
+ AABD P F t\ J BBF B(A0A8J
+8A0A(B BBBF P G [J BBE B(H0A8I
+8A0A(B BBBE $ G I AAK yAA G $: G P D G \2 I BBE A(D0GE
+0A(A BBBF XH T( < lH p AAG {
DAG W
-DAD WDA I p I | I I I J LS ,J LS @ I T( H BBE A(D0g
-(A BBBA , J ( BAD h
-ABF 4 dJ @ QH BAA Dp`
- AABD J (3 ^T ( K Дs BAA M
-ABD , 8K (r GDA ZABG , hK D)s BHA I
-IBI , K ){ BHA V
-DBI , K ): GDA dABE H K ) BBE B(A0A8Gp8A0A(B BBB , DL ,B GDA mABD H tL , BBB B(A0A8Dp}8A0A(B BBB H L . KBD A(G0~
-(A ABBC xH0, M .: GDA dABE , <M .: GDA dABE < M % E BBA A(G
-(A ABBA M `.* A^
-I A L tM z E BBE B(A0A8S@
-8A0A(B BBBA ( N c AAD L
-AAD D M 4 2E BBB A(A0D
-0A(A BBBH 8 N - BBA A(G0(E ABB N `/ AL L N d/ BBA A(G0
+DAD WDA H H H H H I LS ,I LS @ H td H BBE A(D0g
+(A BBBA , I d BAD h
+ABF 4 dI mH BAA Dp`
+ AABD I e3 ^T ( J s BAA M
+ABD , 8J er GDA ZABG , hJ Tes BHA I
+IBI , J e{ BHA V
+DBI , J e: GDA dABE H J f BBE B(A0A8Gp8A0A(B BBB , DK hB GDA mABD H tK h BBB B(A0A8Dp}8A0A(B BBB H K j KBD A(G0~
+(A ABBC xH0, L j: GDA dABE , <L j: GDA dABE < L 0 E BBA A(G
+(A ABBA L pj* A^
+I A L tL l E BBE B(A0A8S@
+8A0A(B BBBA ( M c AAD L
+AAD D L T NE BBB A(A0D
+0A(A BBBH 8 M i BBA A(G0(E ABB M pk AL L M tk BBA A(G0
(A ABBO D
-(A ABBF < 8O 2J IBB E(A0
-(D BBBH L xO /Z BBA A(G0
+(A ABBF < 8N nJ IBB E(A0
+(D BBBH L xN kZ BBA A(G0
(A ABBN D
-(A ABBF 8 O D4 BBA A(G0
-(D ABBN L P 5 KBD A(G0h
-(A ABBI xH0 L TP 6 KBD A(G0h
-(A ABBI xH0 ` P (7 BBB B(D0A8L`!
+(A ABBF 8 N Tp BBA A(G0
+(D ABBN L O q KBD A(G0h
+(A ABBI xH0 L TO r KBD A(G0h
+(A ABBI xH0 ` O 8s BBB B(D0A8L`!
8F0A(B BBBG o
-8I0A(B BBBG d Q 8 BBB B(A0A8D@T
-8A0A(B BBBD
-8A0A(B BBBJ Q L; B tX Q Q ( Q AAI \
-AAG Q DV Q $ P R 0 RBA A(J0\
+8I0A(B BBBG d P t BBB B(A0A8D@T
+8A0A(B BBBD
+8A0A(B BBBJ P <w ;B tU P P ( P AAI \
+AAG P < DV P D P Q P RBA A(J0\
(D ABBK D
-(A ABBF , R CA AAJPh
-AAA R H R :. BBE B(D0A8GP
-8A0A(B BBBI L R ; @ BBB B(A0A8DP
-8A0A(B BBBA H @S < BBE B(A0A8Gp8A0A(B BBB ( S >j BLA WAB 4 S ? BBE A(G0`(D ABB4 S ̔ BBA A(D0(A ABB` (T ? BBB B(D0A8LP
+(A ABBF , Q _A AAJPh
+AAA Q H Q v. BBE B(D0A8GP
+8A0A(B BBBI L Q |w @ BBB B(A0A8DP
+8A0A(B BBBA H @R w BBE B(A0A8Gp8A0A(B BBB ( R zj BLA WAB 4 R z BBE A(G0`(D ABB4 R BBA A(D0(A ABB` (S z BBB B(D0A8LP
8F0A(B BBBG m
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-8A0A(B BBBE P T p V? BBB B(G0A8O
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+8D0F(B BBBA L 4S V? BBE B(E0A8D
+8A0A(B BBBE P S 0 r? BBB B(G0A8O
+8A0A(B BBBC 0T l+ L DT h{ KBD A(G0h
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+8A0A(B BBBK D T 5 _> BBE A(D0H`
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