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11H L?L$HPL$HH9$H$HHH$HH@H$HH@H?H9$H$H5MH$HHPH9H$HHH$HHH$H@H$H@H$L-/H$H9tH$Hp)H|$vCH$L$L9tH$Hpq)H|$`HD$pH9tHD$pHpT)H\$Ht+09D$(rLHH{8W8H/H|$0#fDHqHH@D ЃD$.UfDH$H$1HDŽ$HƄ$f.fo$P fDfo$H TfDo`)$nfDoX)$fDpppH T$'H;1T$uHH[HHRD H;QھVLB8H=Kf+H麣H驣IRH{HHI*HHH鞣HϣILH;ILHjfDHATUHSLgHHMtHsHuvAD$PAT$t[H]A\h5I$HH@H9ulHuGAD$ PAT$ uI$H zLHPH9u.PfAD$fAD$ fufLfHATUHSLgHHMtHHuvAD$PAT$tH4[H]A\%I$HH@H9udHu?AD$ PAT$ uI$H LHPH9u&P띐AD$fAD$ fufLfATISHHH~ t6HCI$HCID$HtH= u&@HL[A\H{,D@HL[A\HIHHHHGHFHGHtH=> u @@fUSHHHdH%(H$1HH@T u&HH;.H{HH@D tH$dH+%(u H[](fDHATUHHSH#LeMtH~ HuqAD$PAT$t[H]A\GI$HH@H9ulHuGAD$ PAT$ uI$H LHPH9u.PfAD$fAD$ fzfL덐UHH]9#fAWAVAUATIUSHhHjdH%(HD$X1HHIHӀ8hHvIA H `H/IG8H}HHG}HHPHHEHGHKAG@HHPHELL9FHL)Lt$@L|$0Lt$0LH9HFHHl$IHHD$@LLl$8B(H?H+D$8H$%H53`LIT$I$HHPH9I $HHIL$HHHH@IL$@H|$0L9tCHD$@Hp!3IA 1@ID$AD$I$ID$HD$XdH+%(#HhL[]A\A]A^A_fA@LkYL;Hl$ Hl$LLt MLl$IDIALt$D$ HLl$A}1LB(Ht$BHt$E11LoBLt$@HPLt$0HH9UHL$0HHHL$@HHH|$0A HL$8H1H@@Ht$8BIT$I$HHPH9I $HHIL$HHHH@IL$@H|$0L9tHD$@HpH|$H9HD$ Hpt@I|$I<$H+HLt HLl$I,IEAD$Ml$B/"f.LHt$1q>HD$0HHD$HD$@LH$Ll$HD$0DH/Lo@AD$KMnLHLl$I<$NMHLt$f.Lt$Ht$1L=HD$HHD$HD$ LL_Ll$HD$LHt$1q=I$HHD$ID$[oPAT$oH)L$@!LH5H=k11H= LH= DHLt$MH/I_I?IOfDHGHGHGHGHHG(G0HHG8G@fHG8f.HYLGHHHGI9tHwLH5Df.DHUHHHHHEH9t HEHpHH]fDAWAVAUATIUHSHhL>LndH%(HD$X1H\$ LH\$Lt MLl$I[I1ALt$D$ HLl$A_1LB(Ht$>HUHuLHl$@HPHl$0HH9CHL$0HHHL$@HH@H|$0HL$8HH5IH@HBIT$I$HHPH9I $HHIL$HHHH|$0H@IL$@H9tHD$@HpH|$H9tHD$ HpwHD$XdH+%(HhL[]A\A]A^A_ÐMHLt$f.Lt$Ht$1L,:HD$HHD$HD$ LLLl$HD$oHAL$!o@)D$@H=z%HLt$HfI閘IvHHbasic_string::_M_construct null not validRRċd<|L4̎܏cannot create std::deque larger than max_size()/buildkite/builds/bk-agent-prod-k8s-1696924216424831753/elastic/ml-cpp-staging-builds/include/core/CRapidJsonWriterBase.hstd::shared_ptr ml::core::CRapidJsonWriterBase::getAllocator() const [with OUTPUT_STREAM = rapidjson::GenericStringBuffer >; SOURCE_ENCODING = rapidjson::UTF8<>; TARGET_ENCODING = rapidjson::UTF8<>; STACK_ALLOCATOR = rapidjson::CrtAllocator; unsigned int WRITE_FLAGS = 0; JSON_WRITER = rapidjson::Writer]Invalid JSON memory allocator encountered. Removing.No viable JSON memory allocator encountered. Recreating. | repeated [basic_string::append]annotationend_timestampcreate_timecreate_usernamemodified_timemodified_usernameeventjob_iddetector_indexpartition_field_namepartition_field_valueover_field_nameover_field_valueby_field_name_xpackSt11_Mutex_baseILN9__gnu_cxx12_Lock_policyE2EEN5boost12sp_adl_block21intrusive_ref_counterINS_3log11v2_mt_posix9attribute4implENS0_19thread_safe_counterEEESt19_Sp_make_shared_tagNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt16_Sp_counted_baseILN9__gnu_cxx12_Lock_policyE2EEN5boost3log11v2_mt_posix9attribute4implEN5boost3log11v2_mt_posix15attribute_value4implEN5boost3log11v2_mt_posix10attributes20attribute_value_implINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEEEN5boost3log11v2_mt_posix10attributes20attribute_value_implIiEESt23_Sp_counted_ptr_inplaceIN2ml4core23CRapidJsonPoolAllocatorESaIS2_ELN9__gnu_cxx12_Lock_policyE2EEuuuuuuuubtnufruuuuuuuuuuuuuuuuuu"\0123456789ABCDEF00010203040506070809101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899 d'@Bʚ; TvHrN @zZƤ~o#]xEcd #NJ00010203040506070809101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899ᮺvU0 5]JB-;eUkE=ƚpOܼw kAV<ЍU1(\Qӵɦqˋ#w"mSx@I̮Wζ]y<7VM6OH8oꖐ:%˅tφ* 45*g8;?Ȅ'DŖ%Οkb}$l_ Xf&ޓJ|l_bS04`U&N~)p$wߏ帟ߦ}t_ϛpDk11eU%ͬ{?;+*\Ӓsi$$d̈Po ̼,eX@bx x9?{Ηp\{2~h髤8E"&'O'1cȌ8eްeǃqB]X,iMpdJwmk}{x wyTś[[=]S5ȳ\*_F%94›\rξTSܷA"x\ӛ S!{Z:0ܵ△\S٨ this->size() (which is %zu)void ml::api::CAnomalyJob::processPersistControlMessage(const string&)Failed to persist state with parameters "void ml::api::CAnomalyJob::acknowledgeFlush(const string&)Received flush control message with no IDvoid ml::api::CAnomalyJob::timeNow(ml::core_t::TTime)Unexpected NULL pointer for key 'void ml::api::CAnomalyJob::writeOutResults(bool, ml::model::CHierarchicalResults&, ml::core_t::TTime, uint64_t)Problem writing anomaly outputvirtual bool ml::api::CAnomalyJob::periodicPersistStateInForeground()Failed to add anomaly detector foreground persistence functionvoid ml::api::CAnomalyJob::refreshMemoryAndReport()Cannot report memory usage because last finalized bucket end time () is smaller than bucket span (void ml::api::CAnomalyJob::pruneAllModels(std::size_t)Pruning all models older than void ml::api::CAnomalyJob::setDetectorsLastBucketEndTime(ml::core_t::TTime)void ml::api::CAnomalyJob::skipSampling(ml::core_t::TTime)void ml::api::CAnomalyJob::skipTime(const string&)Received request to skip time with no timeReceived request to skip time to invalid time virtual bool ml::api::CAnomalyJob::isPersistenceNeeded(const string&) const. Zero records were handled and time has not been advanced.Foreground persist commencing...Periodic foreground persist at Received update config request: void ml::api::CAnomalyJob::updateConfig(const string&)Failed to update configurationbool ml::api::CAnomalyJob::persistModelsState(const TKeyCRefAnomalyDetectorPtrPrVec&, ml::core::CDataAdder&, ml::core_t::TTime, const string&)detector->lastBucketEndTime() = Failed to complete last persistence streambool ml::api::CAnomalyJob::parseTimeRangeInControlMessage(const string&, ml::core_t::TTime&, ml::core_t::TTime&) parameters when only zero or two are allowed.Cannot parse control message: void ml::api::CAnomalyJob::resetBuckets(const string&)Received reset buckets control message without time rangebool ml::api::CAnomalyJob::restoreState(ml::core::CStateRestoreTraverser&, ml::core_t::TTime&, std::size_t&)Expected persisted state but no state existsCannot restore anomaly detector - 'Processing is already complete to time Cannot restore anomaly detector Restored anomaly detector state version is - ignoring it as current state version is Cannot restore interim bucket correctorCannot restore anomaly detectorCannot restore results aggregatorconst TAnomalyDetectorPtr& ml::api::CAnomalyJob::detectorForKey(bool, ml::core_t::TTime, const ml::model::CSearchKey&, const string&, ml::model::CResourceMonitor&)Failed to create anomaly detector for key 'bool ml::api::CAnomalyJob::restoreDetectorState(const ml::model::CSearchKey&, const string&, ml::core::CStateRestoreTraverser&)' was not recreated on restore - memory limit is too low to continue this jobRestoring state for detector with key 'Error restoring anomaly detector for key 'bool ml::api::CAnomalyJob::restoreSingleDetector(ml::core::CStateRestoreTraverser&)Cannot restore anomaly detector - Cannot restore anomaly detector - no key found in Cannot restore anomaly detector - end of object reached when Cannot restore anomaly detector - no partition field value found in Delegated portion of anomaly detector restore failedvoid ml::api::CAnomalyJob::description() constvoid ml::api::CAnomalyJob::descriptionAndDebugMemoryUsage() constvoid ml::api::CAnomalyJob::outputInterimResults(ml::core_t::TTime)virtual bool ml::api::CAnomalyJob::restoreState(ml::core::CDataSearcher&, ml::core_t::TTime&)Unable to connect to data storeState restoration search returned bad streamState restoration search returned failed stream detectors have been restored but completeToTime is bool ml::api::CAnomalyJob::persistCopiedState(const string&, const string&, ml::core_t::TTime, ml::core_t::TTime, const TKeyCRefAnomalyDetectorPtrPrVec&, const ml::model::CResourceMonitor::SModelSizeStats&, const ml::model::CInterimBucketCorrector&, const ml::model::CHierarchicalResultsAggregator&, const string&, ml::core_t::TTime, ml::core_t::TTime, ml::core_t::TTime, ml::core::CDataAdder&)bool ml::api::CAnomalyJob::doPersistStateInForeground(ml::core::CDataAdder&, const string&, const string&, ml::core_t::TTime)Cannot perform foreground persistence of state - periodic background persistence is still in progressWill not persist detectors as no results have been outputbool ml::api::CAnomalyJob::runBackgroundPersist(ml::api::CAnomalyJob::TBackgroundPersistArgsPtr, ml::core::CDataAdder&)Unexpected NULL pointer passed to background persistPeriodic background persist at void ml::api::CAnomalyJob::outputResults(ml::core_t::TTime)void ml::api::CAnomalyJob::outputBucketResultsUntil(ml::core_t::TTime)Skipping incomplete first bucket with lastBucketEndTime = , detected after state restorationvoid ml::api::CAnomalyJob::advanceTime(const string&)Received request to advance time with no timeReceived request to advance time to invalid time before any valid data has been seenvoid ml::api::CAnomalyJob::outputResultsWithinRange(bool, ml::core_t::TTime, ml::core_t::TTime)Cannot output results for range (): Start time is before last finalized bucket end time ): Start time is later than end time.bool ml::api::CAnomalyJob::handleControlMessage(const string&)Programmatic error - handleControlMessage should only be called with non-empty control messagesReceived request to flush with invalid control message 'Ignoring unknown control message of length Records must be in ascending time order. virtual bool ml::api::CAnomalyJob::handleRecord(const TStrStrUMap&, ml::api::CDataProcessor::TOptionalTime)bool ml::api::CAnomalyJob::backgroundPersistState()Background persist starting data copyFailed to add anomaly detector background persistence functionvirtual bool ml::api::CAnomalyJob::periodicPersistStateInBackground()vector::reservevector::_M_realloc_insert/buildkite/builds/bk-agent-prod-k8s-1696924216424831753/elastic/ml-cpp-staging-builds/include/core/CStateRestoreTraverser.hbool ml::core::CStateRestoreTraverser::traverseSubLevel(FUNC) [with FUNC = std::_Bind))(ml::core::CStateRestoreTraverser&)>]Restoration failed: bool ml::core::CStateRestoreTraverser::traverseSubLevel(FUNC) [with FUNC = std::_Bind))(ml::core::CStateRestoreTraverser&)>]bool ml::core::CStateRestoreTraverser::traverseSubLevel(FUNC) [with FUNC = std::_Bind))(ml::core::CStateRestoreTraverser&)>]bool ml::core::CStateRestoreTraverser::traverseSubLevel(FUNC) [with FUNC = std::_Bind, std::reference_wrapper))(ml::core::CStateRestoreTraverser&, ml::model::CSearchKey&)>]bool ml::core::CStateRestoreTraverser::traverseSubLevel(FUNC) [with FUNC = std::_Bind, std::reference_wrapper >))(ml::core::CStateRestoreTraverser&, std::__cxx11::basic_string&)>]bool ml::core::CStateRestoreTraverser::traverseSubLevel(FUNC) [with FUNC = std::_Bind >, std::_Placeholder<1>))(const std::__cxx11::basic_string&, ml::core::CStateRestoreTraverser&)>]>(?(?(?(?(?(?(?(?(?(?(?(?(?(?(?(?(?(?(?(?(?(?(?(?(?(?(?(?(?(?(?(?(?(?(?(?(?(?(?(?(?(?(?(?(?(?(?(?(?(?(?(?(?(?(?h>(?(?0D(?(?(?(?(?(?@D(?PD`DDD(?D(?(? E*N2ml3api12_GLOBAL__N_133CReadableJsonStatePersistInserterE*N2ml3api12_GLOBAL__N_137CReadableRapidXmlStatePersistInserterE*ZN2ml3api11CAnomalyJob28processPersistControlMessageERKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEEUlRNS_4core10CDataAdderEE_St24_Weak_result_type_memfunIMN2ml3api11CAnomalyJobEFbRNS0_4core10CDataAdderEELb1EESt24_Weak_result_type_memfunIMN2ml3api17CJsonOutputWriterEFbRKNS1_26CHierarchicalResultsWriter8SResultsEELb1EESt24_Weak_result_type_memfunIMN2ml3api17CJsonOutputWriterEFblRKNS0_5model27hierarchical_results_detail5SNodeEbELb1EESt24_Weak_result_type_memfunIMN2ml3api11CAnomalyJobEFbSt10shared_ptrINS2_22SBackgroundPersistArgsEERNS0_4core10CDataAdderEELb1EESt24_Weak_result_type_memfunIMN2ml3api17CJsonOutputWriterEFvRKNS0_5model16CResourceMonitor15SModelSizeStatsEELb1EESt17_Weak_result_typeIMN2ml3api11CAnomalyJobEFbRNS0_4core10CDataAdderEEESt17_Weak_result_typeIMN2ml3api17CJsonOutputWriterEFbRKNS1_26CHierarchicalResultsWriter8SResultsEEESt17_Weak_result_typeIMN2ml3api17CJsonOutputWriterEFblRKNS0_5model27hierarchical_results_detail5SNodeEbEESt17_Weak_result_typeIMN2ml3api11CAnomalyJobEFbSt10shared_ptrINS2_22SBackgroundPersistArgsEERNS0_4core10CDataAdderEEESt17_Weak_result_typeIMN2ml3api17CJsonOutputWriterEFvRKNS0_5model16CResourceMonitor15SModelSizeStatsEEEN2ml5model28CHierarchicalResultsLevelSetINS0_38hierarchical_results_normalizer_detail11SNormalizerEEEN2ml5maths11time_series18CAdaptiveBucketingEN2ml5model27CHierarchicalResultsVisitorEN2ml5model28CHierarchicalResultsLevelSetINS0_18CDetectorEqualizerEEEN2ml3api11CAnomalyJobEN5boost13property_tree11ptree_errorEN5boost13property_tree14ptree_bad_dataEN5boost13property_tree14ptree_bad_pathESt5_BindIFMN2ml3api17CJsonOutputWriterEFvRKNS0_5model16CResourceMonitor15SModelSizeStatsEEPS2_St12_PlaceholderILi1EEEESt5_BindIFMN2ml3api17CJsonOutputWriterEFbRKNS1_26CHierarchicalResultsWriter8SResultsEEPS2_St12_PlaceholderILi1EEEESt5_BindIFMN2ml3api17CJsonOutputWriterEFblRKNS0_5model27hierarchical_results_detail5SNodeEbEPS2_St12_PlaceholderILi1EESB_ILi2EESB_ILi3EEEESt5_BindIFMN2ml3api11CAnomalyJobEFbSt10shared_ptrINS2_22SBackgroundPersistArgsEERNS0_4core10CDataAdderEEPS2_S5_St12_PlaceholderILi1EEEESt5_BindIFMN2ml3api11CAnomalyJobEFbRNS0_4core10CDataAdderEEPS2_St12_PlaceholderILi1EEEESt15_Sp_counted_ptrIPN2ml5model20CSimpleCountDetectorELN9__gnu_cxx12_Lock_policyE2EESt15_Sp_counted_ptrIPN2ml5model16CAnomalyDetectorELN9__gnu_cxx12_Lock_policyE2EESt23_Sp_counted_ptr_inplaceIN2ml5model23CInterimBucketCorrectorESaIS2_ELN9__gnu_cxx12_Lock_policyE2EESt23_Sp_counted_ptr_inplaceIN2ml3api11CAnomalyJob22SBackgroundPersistArgsESaIS3_ELN9__gnu_cxx12_Lock_policyE2EESt23_Sp_counted_ptr_inplaceIN2ml5model20CSimpleCountDetectorESaIS2_ELN9__gnu_cxx12_Lock_policyE2EESt23_Sp_counted_ptr_inplaceIN2ml5model16CAnomalyDetectorESaIS2_ELN9__gnu_cxx12_Lock_policyE2EE?CCLA@_void ml::api::CAnomalyJob::descruilds/lib/api/CAquantiles state and model size snomalyJob::setDetectorsLastBucketEndTime(ml::cornomalyJob::skipSampling(ml::corebool ml::api::CAnomalyJob::runForegroundPersist(ml::core::CDataAnomalyJob::updateConfig(const stnomalyJob::persistModelsState(const TKeyCRefAnomalyDetectorPtrPrVec&, ml::core::CDataAdder&, ml::core_t::TTime, nomalyJob::doForecast(const strivirtual bool ml::api::CAnomalyJob::persistStateInForeground(ml::core::CDataAdder&, const string&/buildkite/builds/bk-agent-prod-k8s-1696924216424831753/elastic/ml-cpp-staging-builds/lib/api/CAnomalyJobConfig.ccbool ml::api::CAnomalyJobConfig::CAnalysisConfig::CDetectorConfig::determineFunction(bool)() cannot be used with a summary count field cannot be used with an 'over' fieldbool ml::api::CAnomalyJobConfig::CAnalysisConfig::CDetectorConfig::decipherExcludeFrequentSetting()Unexpected exclude_frequent value = . Duration must have a minimum value of 1s. Using default duration value Error parsing detector rules: . Limit must have a minimum value of 1mb. Using default memory limit value Error deciphering exclude frequent settingvoid ml::api::CAnomalyJobConfig::CAnalysisConfig::parse(const Value&)The value of configuration setting "model_prune_window" () is less than twice the value of "bucket_span" (). Setting "model_prune_window" to per_partition_categorization enabled without a categorization fieldper_partition_categorization enabled without a partition fieldper_partition_categorization enabled when partition field varies between detectorsFailed to update detector rules for detector: bool ml::api::CAnomalyJobConfig::CAnalysisConfig::parseRulesUpdate(const Value&)Error parsing scheduled event rules: Scheduled events must have exactly 1 rule: bool ml::api::CAnomalyJobConfig::parseEventConfig(const string&)An error occurred while parsing scheduled event config from JSON: Missing expected array field 'Could not parse scheduled events: expected events array to contain objects. JSON: An error occurred while parsing anomaly job config from JSON: bool ml::api::CAnomalyJobConfig::parse(const string&)Error parsing anomaly job config: Failed to parse anomaly job config: 'bool ml::api::CAnomalyJobConfig::parseFilterConfig(const string&)An error occurred while parsing filter config from JSON: Could not parse filters: expected filters array to contain objects. JSON: bool ml::api::CAnomalyJobConfig::initFromFiles(const string&, const string&, const string&)Failed to parse filters job config: 'Failed to parse scheduled events config: 'job_typeanalysis_configanalysis_limitsdata_descriptionbackground_persist_intervalmodel_plot_configbucket_spanmodel_prune_windowsummary_count_field_namecategorization_field_namecategorization_filtersper_partition_categorizationstop_on_warnlatencymultivariate_by_fieldsclearscheduledevent..description.rulesdetector_rulesdetector_descriptionexclude_frequentuse_nullcustom_rulesbynoneoverlow_countlow_chigh_counthigh_clow_distinct_countlow_dchigh_distinct_counthigh_dcrare_non_zero_countrnzcfreq_rarefrfreq_rare_countfrclow_non_zero_countlow_nzchigh_non_zero_counthigh_nzclow_info_contenthigh_info_contentmetriclow_meanhigh_meanlow_avghigh_avglow_medianhigh_medianminmaxlow_varphigh_varplow_sumhigh_sumlow_non_null_sumlow_nnshigh_non_null_sumhigh_nnstime_of_daytime_of_weeklat_longmax_velocitymin_velocitymean_velocitysum_velocityannotations_enabledtermscategorization_examples_limitmodel_memory_limittime_fieldtime_formatfilter_iditemsNo function specifiedFunction Invalid function requires an 'over' field requires a 'by' field requires a field does not work on a fieldInvalid duration value Invalid limit value Failed to read file 'Error parsing custom rules: Error determining functionError building filter rules: Error parsing events config: '. JSON: Failed to read config file 'Error parsing filter config: vector::_M_default_appendInput error: expected a value for ''. Please report this problem.@@@X88888888888888888x88888888888p%5COa  0`   0 ` Y0`N2ml3api23CAnomalyJobConfigReader11CParseErrorE"/\ @.,0*`T?$@Y@@@@j@.AcAחAeA _BvH7BmB@0BļB4&k C7yAC؅W4vCNgmC=`XC@xDPKDMDJ-DyCxD(,* E52TEqىE/'E!1Eꌠ9Y>)F$_FnFF"F|FMraB3G yhGiWCG*GJH\)c=H7]rHaxHyֲHL}YI\CkFI3T|I\'Isȡ1I:~^Jd~QJvaJ0}GJ>nllJ$KAjZK=P1PKMZ>dKW`M}Kmn/LDcL^LpuLafirM?O8MrbnMG9Mz)M:Ft NdȋBN=ֺ.wN 9iNCNuOILLO֯OO[пOE!P/'%UP_QP6PbDP{U[*QmUx`Q*4VQz5߼QlX R.4R9mr"iRY) kRعeR$N(Sa򮌮>S }W-sSO\]ScbuSp] T%L9hGT.B}T}Ô%IT\nTsqUFQU`RUxӫU?+dpU5=%VN=@[Vҟ&VG0JV=:YVf$0W&sdWW)>W]3sMXk5!a9XBioX)8ӣX*4X5AHxY(-\CYr%4xYv/AYiY?ZOMZ20HwZ~$|7Z-[bZXC}"[;/V[ ;C-[SJ[= \[M"4+\0IΕ2a\|AH\[R\ysKp]WPM4]mH=j]Į]-f]u8W]am ^|M$D@^`-Ut^x^WUH^P.5_[ypH_r]~_':__ k_EW`RVR`'.N`(:W"`Yv5`o%&a.s\ax}?5ȑa\,C:a 4az]1beb"b _Sb72cϢER:ckpc2gFxc@BXVch)5,dtC7Ddx0REydVfYd6 6dCCuesTNNeGe1eeax~Ze= "f β̈Wf_jfbf8jfD},gJ#agZqg$gwWӈhה,5h :7ekhHDbhZսghJzg iN@iZbti: iDhTi VBijkzIjsYH j7-4j 8jL%k0V(wSkk21Ukjk*do^k5= 6~'l ]]l8l@4l7#l#s:V!2mOBɫfm㒻Tmp;5m б!nr-3;ngRJqn眥na}!n,}ovk*:Eobzo=$qE}om͖o\Ȁp9}UPpCD pT&)p4osp%#qVA1/XqkYqz42q܍qSr-rCbrnr1{Jr _|sNsv[06sTrlst"sRyXsW tquAtztUutGtc2 tXSTv/Ngvazjv}+vZ/v(wp-T_w&2bw~Ù:w\4@Iw!2xT):gx0xg^Jp5|x\By3tBuilds/lib/api/CCbool ml::api::CCmdSkeleton::persistStateInForegrState persisted due to job closemdSkeleton::ioLoTerminate parsing due to Handler error.Missing a name for object member.Missing a colon after a name of object member.Missing a comma or '}' after an object member.Missing a comma or ']' after an array element.Incorrect hex digit after \u escape in string.The surrogate pair in string is invalid.Invalid escape character in string.Missing a closing quotation mark in string.Number too big to be stored in double.The document root must not be followed by other values./buildkite/builds/bk-agent-prod-k8s-1696924216424831753/elastic/ml-cpp-staging-builds/lib/api/CConfigUpdater.ccbool ml::api::CConfigUpdater::update(const string&)An error occurred while parsing pattern set from JSON: to be JSON object but input was 'Failed to parse filter config update: Failed to parse events config update: Unexpected JSON update message: Unspecific syntax error.Unknown error.The document is empty.No error.Invalid value.Invalid encoding in string.Miss fraction part in number.Miss exponent in number.Input error: expected 6637#77777x7g7V7E7477776$+/buildkite/builds/bk-agent-prod-k8s-1696924216424831753/elastic/ml-cpp-staging-builds/lib/api/CCsvInputParser.ccReceived input with settings onlyFailed to parse CSV record from streamFailed to parse field names from streamcannot create std::vector larger than max_size()bool ml::api::CCsvInputParser::parseRecordLoop(const READER_FUNC&, ml::api::CInputParser::TStrRefVec&) [with READER_FUNC = ml::api::CCsvInputParser::readStreamIntoVecs(const TVecReaderFunc&, const TRegisterMutableFieldFunc&)::; ml::api::CInputParser::TStrRefVec = std::vector > >]Failed to parse data record from streamRecord handler function forced exitbool ml::api::CCsvInputParser::parseRecordLoop(const READER_FUNC&, ml::api::CInputParser::TStrRefVec&) [with READER_FUNC = ml::api::CCsvInputParser::readStreamIntoMaps(const TMapReaderFunc&, const TRegisterMutableFieldFunc&)::; ml::api::CInputParser::TStrRefVec = std::vector > >]Input stream is badFailed to get next CSV tokenData record contains more fields than header:and:No field names found in:N2ml3api12CInputParserEN2ml3api15CCsvInputParserE ]bnw|svInputParser.ccsvInputParser::parseCsvRecordFroarseDataRecord(ml::api::CInputParser::TStrRefVecarseFieldNames()svInputParser::r@@/buildkite/builds/bk-agent-prod-k8s-1696924216424831753/elastic/ml-cpp-staging-builds/lib/api/CCsvOutputWriter.ccCSV output writer will not generate parsable output because separator character () is the same as the quote, escape and/or record end charactersAttempt to write data before field namesData fields to be written do not include a value for field Attempt to set empty field namesN2ml3api19CSimpleOutputWriterEN2ml3api16CCsvOutputWriterE ",'dvsvOutputWriter.cml::api::CCsvOutputWriter::CCsvOutputWriter(boolutputWriter(std::ostream&, bool,:api::CCsvOutputWriter::writeRow(const TStrStrUMap&, const TStrSWriter::fieldNames(const TStrVec&, const TStrVecInput error: unexpected parameter 'Input error: expected value for '] has been exceeded. Please force stop the job, increase to new estimated limit [/buildkite/builds/bk-agent-prod-k8s-1696924216424831753/elastic/ml-cpp-staging-builds/lib/api/CDataFrameAnalysisInstrumentation.ccclassification_statshyperparametersmemory_reestimate_bytesiterationhard_limitokanalytics_memory_usageoutlier_detection_statspeak_usage_bytesregression_statsstepelapsed_timeiteration_timetiming_statsfold_valuesvalidation_lossloss_typemax_attempts_to_add_treenum_splits_per_featurephase_progressphaseprogress_percent kb mbRequired memory exceeds the memory limit . New estimated limit is Input error: memory limit [] and restart.Memory estimate is negative!N2ml5maths9analytics42CDataFrameAnalysisInstrumentationInterfaceEN2ml5maths9analytics42CDataFrameOutliersInstrumentationInterfaceEN2ml5maths9analytics50CDataFrameTrainBoostedTreeInstrumentationInterfaceEN2ml3api33CDataFrameAnalysisInstrumentationEN2ml3api33CDataFrameOutliersInstrumentationEN2ml3api41CDataFrameTrainBoostedTreeInstrumentationEB?<yuilds/lib/api/CDataFrameAnalysisInstrumentation.:api::CDataFrameAnalysisInstrumentation::updateMemoryUsage(int64You need to call 'computeAndSaveExecutionStrategy' in the derived runner constructor.The analytics process may fail due to hitting the memory limit./buildkite/builds/bk-agent-prod-k8s-1696924216424831753/elastic/ml-cpp-staging-builds/lib/api/CDataFrameAnalysisRunner.ccAlready running analysisMemory limit MB is configured lower than the estimate MB.N2ml3api24CDataFrameAnalysisRunnerE*NSt6thread11_State_implINS_8_InvokerISt5tupleIJZN2ml3api24CDataFrameAnalysisRunner3runERNS3_4core10CDataFrameEEUlvE_EEEEEE*ZN2ml3api24CDataFrameAnalysisRunner14statePersisterEvEUlSt8functionIFvRNS_4core21CStatePersistInserterEEEE_g0AUk@>void ml::api::CDRunner::run(ml::core::CDataFrameAnalysisRunner::computeAndSaveExecutionStrategy(ml::api::CDataFrameAnalysisRunner::statePersister()::> >========r=a=P=?=.=9>>*N2ml3api12_GLOBAL__N_127CEncoderNameIndexMapBuilderE*ZNK2ml3api28CDataSummarizationJsonWriter15addToJsonStreamERNS_4core20CRapidJsonLineWriterIN9rapidjson19BasicOStreamWrapperISoEENS4_4UTF8IcEES8_NS4_12CrtAllocatorELj0EEEEUlRKNS2_17data_frame_detail12CRowIteratorESF_E_N2ml3api26CDataSummarizationJsonTagsEN2ml3api25CSerializableToJsonStreamEN2ml3api36CSerializableToCompressedChunkedJsonEN2ml3api28CDataSummarizationJsonWriterEuuuuuuuubtnufruuuuuuuuuuuuuuuuuu"\0123456789ABCDEFataSummarization:api::CDataSummarizationJsonWriter::addToJsonStream(ml::api::CSerializableToJsonStream::TGenericLineWriter&) con_/buildkite/builds/bk-agent-prod-k8s-1696924216424831753/elastic/ml-cpp-staging-builds/lib/api/CDetectionRulesJsonParser.ccAt least one rule action is requiredMissing rule condition field: Invalid condition; unknown applies_to [Unexpected type for conditions; array was expectedbool ml::api::CDetectionRulesJsonParser::parseRuleConditions(const Value&, ml::model::CDetectionRule&)Unexpected condition type: array conditions is expected to contain objectsUnexpected type for scope; object was expectedbool ml::api::CDetectionRulesJsonParser::parseRuleScope(const Value&, ml::model::CDetectionRule&)Unexpected type for scope member; object was expectedScope member is missing field: Could not parse detection rules from non-array JSON object: Could not parse detection rules: expected detection rules array to contain objects. JSON: At least one of 'scope' or 'conditions' must be specified in JSON: Failed to parse detection rules from JSON: An error occurred while parsing detection rules from JSON: bool ml::api::CDetectionRulesJsonParser::parseRules(const string&, ml::api::CDetectionRulesJsonParser::TDetectionRuleVec&)Missing condition field: Missing rule field: Invalid rule action: Invalid operator value: Conditions must not be emptyScope must not be emptyFilter with id [] could not be foundInvalid filter_type [Parsing detection rulesactionsactualapplies_toconditionconditionsdiff_from_typicalexcludefilter_typegtgteincludelteoperatorscopeskip_resultskip_model_updateetectionRulesJsostatic bool ml::api::CDetectionRulesJsonParser::parseConditionValue(const Value&, ml::model::CRuparseRuleActions(const Value&, ml::model::CDetecparseConditionOperator(const Value&, ml::model::CRuleCondition&)parseConditionAppliesTo(const Value&, ml::model::CRuleCondition&bool ml::api::CDnParser::parseRuleConditions(const Value&, ml::model::CDetectionleScope(const Va:CDetectionRule&les(const string&, ml::api::CDetectionRulesJsonParser::TDetectio0'`elmlcategorycategorizer_state1NULL persistence managerAssigning ML category to record with no to record with blank ' due to lack of memoryCannot restore categorizer - Invalid partition values in Invalid highest global ID in Restore categorizer stateJSON restore failed partition field values/buildkite/builds/bk-agent-prod-k8s-1696924216424831753/elastic/ml-cpp-staging-builds/lib/api/CFieldDataCategorizer.ccFailed to parse stop-on-warn control message: Categorization stop-on-warn now: bool ml::api::CFieldDataCategorizer::handleControlMessage(const string&, bool)Discarding corrupt categorizer state - will re-categorize from scratchZero records were handled - will not attempt to persist Periodic persist categorizer state in foregroundvirtual bool ml::api::CFieldDataCategorizer::periodicPersistStateInForeground()Failed to add categorizer foreground persistence functionPeriodic persist categorizer state in backgroundvirtual bool ml::api::CFieldDataCategorizer::periodicPersistStateInBackground()No partition-specific categorizers foundFailed to add categorizer background persistence functionml::api::CGlobalCategoryId ml::api::CFieldDataCategorizer::computeAndUpdateCategory(const TStrStrUMap&, const TOptionalTime&)Categorization not possible due to lack of memoryCategorization not possible for partition 'bool ml::api::CFieldDataCategorizer::acceptRestoreTraverser(ml::core::CStateRestoreTraverser&)Expected categorizer persisted state but no state existsCannot restore categorizer, invalid version: Categorizer has not been restored as the version has changedCannot restore categorizer - end of object reached when static bool ml::core::persist_utils_detail::CRestorerImpl::doTraverse(const string&, T&, ml::core::CStateRestoreTraverser&, std::false_type) [with T = std::vector >; std::string = std::__cxx11::basic_string; std::false_type = std::integral_constant]SubLevel mismatch in restore at Memory limit hit while restoring categorizer stateCannot restore categorizer from Invalid categorizer allocation failure count in virtual bool ml::api::CFieldDataCategorizer::restoreState(ml::core::CDataSearcher&, ml::core_t::TTime&)Categorizer state restoration returned a bad streamCategorizer state restoration returned a failed streamml::api::CFieldDataCategorizer::CFieldDataCategorizer(std::string, const ml::api::CAnomalyJobConfig::CAnalysisConfig&, ml::model::CLimits&, const string&, const string&, ml::api::CDataProcessor*, ml::core::CJsonOutputStreamWrapper&, ml::api::CPersistenceManager*, bool)Configuring categorization filteringbool ml::api::CFieldDataCategorizer::doPersistState(const TStrVec&, const TPersistFuncVec&, std::size_t, ml::core::CDataAdder&)Programmatic error - doPersistState called with categorizer persistence functions and Failed to create persistence streamPersistence stream is bad before stream of state for the categorizerPersistence stream went bad during stream of state for the categorizervirtual bool ml::api::CFieldDataCategorizer::persistStateInForeground(ml::core::CDataAdder&, const string&)Cannot do final persistence of state - periodic persister still busyPersist categorizer state in foreground/buildkite/builds/bk-agent-prod-k8s-1696924216424831753/elastic/ml-cpp-staging-builds/include/core/CPersistUtils.hbool ml::core::CStateRestoreTraverser::traverseSubLevel(FUNC) [with FUNC = ml::core::persist_utils_detail::CRestorerImpl::doTraverse > >::]Failed to determine size: basic_string::eraseN2ml3api21CFieldDataCategorizerEN2ml5model25CTokenListDataCategorizerILb1ELb1ELb1ELb1ELb1ELb1ELb1ELb1ELb0ELm2ELb1ENS_4core15CWordDictionary27CWeightOnePartAdjacentBoostILNS3_13EPartOfSpeechE8ELm5ELm2ELm6EEEEE*ZN2ml3api21CFieldDataCategorizer32periodicPersistStateInBackgroundEvEUlRNS_4core10CDataAdderEE_*ZN2ml3api21CFieldDataCategorizer32periodicPersistStateInForegroundEvEUlRNS_4core10CDataAdderEE_*ZN2ml3api21CFieldDataCategorizer20categorizerPtrForKeyERKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEEUlvE_ffffff?St23_Sp_counted_ptr_inplaceIN2ml3api21CNoopCategoryIdMapperESaIS2_ELN9__gnu_cxx12_Lock_policyE2EESt23_Sp_counted_ptr_inplaceIN2ml3api29CPerPartitionCategoryIdMapperESaIS2_ELN9__gnu_cxx12_Lock_policyE2EESt23_Sp_counted_ptr_inplaceIN2ml5model30CTokenListReverseSearchCreatorESaIS2_ELN9__gnu_cxx12_Lock_policyE2EE~itffffff?,8IPeriodic foregrouilds/lib/api/CFieldDataCategorivoid ml::api::CFzer::parseStopOnWarnControlMessage(const string&zer::acknowledgeFlush(const stribool ml::api::CFzer::handleControlMessage(const zer::resetAfterC:api::CFieldDataCategorizer::isPersistenceNeeded(const string&) Categorizer::periodicPersistStatCTokenListDataCare/CPersistUtilsbool ml::core::persist_utils_detail::CRestorerImpl::SSubLevel::operator()(T&, RestoreTraverser&) const [with T = std::vector sistStateInForeground(ml::core::CDataAdder&, convoid ml::api::CForecastRunner::forecastWorker()/buildkite/builds/bk-agent-prod-k8s-1696924216424831753/elastic/ml-cpp-staging-builds/lib/api/CForecastRunner.ccbool ml::api::{anonymous}::sufficientAvailableDiskSpaceForPath(std::size_t, const boost::filesystem::path&)Failed to retrieve disk information for static bool ml::api::CForecastRunner::parseAndValidateForecastRequest(const string&, ml::api::CForecastRunner::SForecast&, ml::core_t::TTime, std::size_t, const TErrorFunc&)Failed to parse forecast request: forecast ID must be specified and non emptyForecast cannot be executed due to queue limit. Please wait for requests to finish and try againForecast cannot be executed as model is not yet established. Job requires more time to learnForecast cannot be executed as job requires data to have been processed and modeledForecast create time must be specified and non zeroForecast cannot be executed as model memory status is not OKForecast max_model_memory must be below 500MB and must not exceed 40% of the job's configured model memory limit.Forecast cannot be executed as forecast memory usage is predicted to exceed 500MBForecast cannot be executed as models exceed internal memory limit and available disk space is insufficientForecast is not supported for population analysisForecast is not supported for the used functionsForecast expires_in invalid, setting to 14 daysForecast duration not specified, setting to 1 dayForecast expires_in not specified, setting to 14 daysInsufficient history to forecast for all modelsFailed to cleanup temporary data from: void ml::api::CForecastRunner::sendScheduledMessage(const ml::api::CForecastRunner::SForecast&) constjob passed forecast validation, scheduled for forecastingvoid ml::api::CForecastRunner::sendErrorMessage(const ml::api::CForecastRunner::SForecast&, const string&) constbool ml::api::CForecastRunner::pushForecastJob(const string&, const TAnomalyDetectorPtrVec&, ml::core_t::TTime)Unexpected empty detector foundForecast cannot be executed as forecast memory usage is predicted to exceed bytes while disk space is exceeded] memory usage exceeds configured byte limit [Forecast internal error, failed to create temporary folder error Checked disk space for - required: , available: forecast_idforecast_aliasdurationmax_model_memorymin_available_disk_spacetmp_storageexpires_inboundspercentileStart forecasting from Detector failed to forecastDetector[]: Finished forecasting, wrote Forecast [] (requires MB), using disk.Persisting to: /usr/local/gcc103/include/boost-1_77/boost/property_tree/json_parser/detail/parser.hppvoid boost::property_tree::json_parser::detail::source::parse_error(const char*) [with Encoding = boost::property_tree::json_parser::detail::encoding; Iterator = std::istreambuf_iterator >; Sentinel = std::istreambuf_iterator >]invalid escape sequenceinvalid codepoint, stray low surrogateinvalid codepoint, stray high surrogateexpected codepoint reference after high surrogateexpected low surrogate after high surrogateunterminated stringinvalid code sequenceexpected 'true'trueexpected 'false'falseexpected ']' or ','expected 'null'expected digits after -expected valueneed at least one digit after '.'need at least one digit in exponentexpected key stringexpected ':'expected '}' or ','garbage after dataSt24_Weak_result_type_memfunIMN2ml3api15CForecastRunnerEKFvRKNS2_9SForecastERKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEELb1EESt17_Weak_result_typeIMN2ml3api15CForecastRunnerEKFvRKNS2_9SForecastERKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEEESt14default_deleteIN2ml5maths6common6CModelEEN5boost9exceptionEN5boost16exception_detail10clone_baseEN5boost13property_tree17file_parser_errorEN5boost13property_tree11json_parser17json_parser_errorE*NSt6thread11_State_implINS_8_InvokerISt5tupleIJZN2ml3api15CForecastRunnerC4ERKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEERNS3_4core24CJsonOutputStreamWrapperERNS3_5model16CResourceMonitorEEUlvE_EEEEEE@St5_BindIFMN2ml3api15CForecastRunnerEKFvRKNS2_9SForecastERKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEEPS2_St12_PlaceholderILi1EESH_ILi2EEEESt19_Sp_counted_deleterIPN2ml5maths6common6CModelESt14default_deleteIS3_ESaIvELN9__gnu_cxx12_Lock_policyE2EEN5boost10wrapexceptINS_13property_tree11json_parser17json_parser_errorEEE00010203040506070809101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899.?@orecastRunner.ccorecastRunner::fProgrammatic error: CGlobalCategoryId called with const char* categorizer key2uilds/lib/api/CGlobalCategoryId.ml::api::CGlobalCategoryId::CGlobalCategoryId(int, const char*, ml::model::CLocaunknown boost::container exceptionboost::container::bad_alloc thrownget_next_capacity, allocator's max size reached/buildkite/builds/bk-agent-prod-k8s-1696924216424831753/elastic/ml-cpp-staging-builds/lib/api/CHierarchicalResultsWriter.ccFailed to get current bucket value for Failed to get population mean for Failed to write influencer result for N2ml4core12CNonCopyableEN5boost9container9exceptionEN5boost9container9bad_allocEN5boost9container12out_of_rangeEN2ml3api26CHierarchicalResultsWriterEuilds/lib/api/CHierarchicalResulvoid ml::api::CHtsWriter::writePopulationResult(const ml::model::CHierarchicalResults&, const TNivotResult(const ml::model::CHierarchicalResults&, const TNode&)/buildkite/builds/bk-agent-prod-k8s-1696924216424831753/elastic/ml-cpp-staging-builds/lib/api/CInferenceModelDefinition.ccvirtual void ml::api::CInferenceModelDefinition::addToJsonStream(ml::api::CSerializableToJsonStream::TGenericLineWriter&) constTrained model is not initialized_targetmean_frequencyfeature_name_lengthfield_lengthfield_value_lengthsfeature_name_lengthsnum_operationsnum_output_processor_weightstree_sizesaggregate_outputensembletrained_modelsexponentfrequency_encodingfrequency_mapensemble_model_sizemodel_size_infotrained_model_sizecompressed_inference_modelpreprocessorstrained_modellogistic_regressionhot_mapone_hot_encodingdefault_valuetarget_maptarget_mean_encodingnum_classification_weightsclassification_labelsfeature_namestarget_typenum_leavesnum_nodesdecision_typedefault_leftleaf_valueleft_childnode_indexnumber_samplesright_childsplit_featuresplit_gaintree_structureweighted_modeweighted_sumbasic_string::basic_stringN2ml3api27CSerializableToJsonDocumentEN2ml3api16CAggregateOutputEN2ml3api13CWeightedModeEN2ml3api12CWeightedSumEN2ml3api19CLogisticRegressionEN2ml3api9CExponentEN2ml3api13CTrainedModel9CSizeInfoEN2ml3api13CTrainedModelEN2ml3api5CTree9CTreeNodeEN2ml3api5CTree9CSizeInfoEN2ml3api5CTreeEN2ml3api9CEnsemble9CSizeInfoEN2ml3api9CEnsembleEN2ml3api9CEncoding9CSizeInfoEN2ml3api9CEncodingEN2ml3api15CCustomEncodingEN2ml3api18CFrequencyEncoding9CSizeInfoEN2ml3api18CFrequencyEncodingEN2ml3api15COneHotEncoding9CSizeInfoEN2ml3api15COneHotEncodingEN2ml3api19CTargetMeanEncoding9CSizeInfoEN2ml3api19CTargetMeanEncodingEN2ml3api15COpaqueEncodingEN2ml3api25CInferenceModelDefinition9CSizeInfoEN2ml3api25CInferenceModelDefinitionEUnable to find key in unordered_map.absolute_importancefeature_importance_baselinesuppliedmean_magnitudemodel_metadatanum_train_rowsrelative_importancetotal_feature_importancetrain_propertiesT$čd4Ԍ\N5boost10wrapexceptISt12out_of_rangeEE:0yE>/buildkite/builds/bk-agent-prod-k8s-1696924216424831753/elastic/ml-cpp-staging-builds/lib/api/CIoManager.ccAccessing output stream before IO is initialisedAccessing persist stream before IO is initialisedAccessing restore stream before IO is initialisedAccessing input stream before IO is initialisedSt15_Sp_counted_ptrIPSt14basic_ifstreamIcSt11char_traitsIcEELN9__gnu_cxx12_Lock_policyE2EESt15_Sp_counted_ptrIPSt14basic_ofstreamIcSt11char_traitsIcEELN9__gnu_cxx12_Lock_policyE2EEzuilds/lib/api/CIstd::ostream& ml::api::CIoManager::outputStream(ml::core::CNamedPipeFactory::TOStreamP ml::api::CIoManager::persPipeFactory::TISCIoManager::reststd::istream& mlr::inputStream(),bucketevent_countis_interimmulti_bucket_impactraw_anomaly_scoreinitial_record_scoreinitial_influencer_scorecorrelated_by_field_valuecausesfunction_descriptioninitial_anomaly_scoreinfluencer_field_nameinfluencer_field_valueinfluencer_field_valuesbucket_influencersflushlast_finalized_bucket_endrefresh_requiredcategory_idcategory_definitionregexmax_matching_lengthexamplesnum_matchespreferred_to_categoriesprocessing_time_msbucket_timescheduled_eventsquantilesgeo_resultsactual_pointtypical_pointanomaly_score_explanationanomaly_typedipspikeanomaly_lengthsingle_bucket_impactlower_confidence_boundtypical_valueupper_confidence_boundhigh_variance_penaltyincomplete_bucket_penaltymultimodal_distributionby_field_first_occurrenceby_field_relative_rarity/buildkite/builds/bk-agent-prod-k8s-1696924216424831753/elastic/ml-cpp-staging-builds/lib/api/CJsonOutputWriter.ccdouble ml::api::{anonymous}::doubleFromDocument(const TDocumentWeakPtr&, const string&)Inconsistent program state. JSON document unavailable.void ml::api::CJsonOutputWriter::addInfluencerFields(bool, const TNode&, ml::api::CJsonOutputWriter::TDocumentWeakPtr)void ml::api::CJsonOutputWriter::writeBucket(bool, ml::core_t::TTime, ml::api::CJsonOutputWriter::SBucketData&, uint64_t)void ml::api::CJsonOutputWriter::addInfluences(const TStoredStringPtrStoredStringPtrPrDoublePrVec&, ml::api::CJsonOutputWriter::TDocumentWeakPtr)void ml::api::CJsonOutputWriter::addMetricFields(const TResults&, ml::api::CJsonOutputWriter::TDocumentWeakPtr)void ml::api::CJsonOutputWriter::addPopulationCauseFields(const TResults&, ml::api::CJsonOutputWriter::TDocumentWeakPtr)void ml::api::CJsonOutputWriter::addEventRateFields(const TResults&, ml::api::CJsonOutputWriter::TDocumentWeakPtr)void ml::api::CJsonOutputWriter::addPopulationFields(const TResults&, ml::api::CJsonOutputWriter::TDocumentWeakPtr)Expected some causes for a population anomaly but got nonebool ml::api::CJsonOutputWriter::acceptResult(const TResults&)Simple count detector has no current ratevoid ml::api::CJsonOutputWriter::acceptBucketTimeInfluencer(ml::core_t::TTime, double, double, double)Failed to create new JSON documentanomaly_characteristics_impactvoid ml::core::CRapidJsonWriterBase::addDoubleFieldToObj(const string&, double, ml::core::CRapidJsonWriterBase::TValue&) const [with OUTPUT_STREAM = rapidjson::GenericStringBuffer >; SOURCE_ENCODING = rapidjson::UTF8<>; TARGET_ENCODING = rapidjson::UTF8<>; STACK_ALLOCATOR = rapidjson::CrtAllocator; unsigned int WRITE_FLAGS = 0; JSON_WRITER = rapidjson::Writer; std::string = std::__cxx11::basic_string; ml::core::CRapidJsonWriterBase::TValue = rapidjson::GenericValue >]Adding to the "" field of a JSON documentvoid ml::core::CRapidJsonWriterBase::checkArrayNumberFinite(NUMBER, const string&, bool&) const [with NUMBER = double; OUTPUT_STREAM = rapidjson::GenericStringBuffer >; SOURCE_ENCODING = rapidjson::UTF8<>; TARGET_ENCODING = rapidjson::UTF8<>; STACK_ALLOCATOR = rapidjson::CrtAllocator; unsigned int WRITE_FLAGS = 0; JSON_WRITER = rapidjson::Writer; std::string = std::__cxx11::basic_string]" array in a JSON documentSt23_Sp_counted_ptr_inplaceIN9rapidjson15GenericDocumentINS0_4UTF8IcEENS0_19MemoryPoolAllocatorINS0_12CrtAllocatorEEES5_EESaIS7_ELN9__gnu_cxx12_Lock_policyE2EE@Y@@Y@/buildkite/builds/bk-agent-prod-k8s-1696924216424831753/elastic/ml-cpp-staging-builds/lib/api/CLengthEncodedInputParser.ccLength encoded input parser input is connected to stdinCannot set the stdin to binary modeLength encoded input parser input is not connected to stdinFailed to parse length encoded header from streambool ml::api::CLengthEncodedInputParser::parseRecordLoop(const READER_FUNC&, ml::api::CInputParser::TStrRefVec&) [with READER_FUNC = ml::api::CLengthEncodedInputParser::readStreamIntoMaps(const TMapReaderFunc&, const TRegisterMutableFieldFunc&)::; ml::api::CInputParser::TStrRefVec = std::vector > >]Failed to parse length encoded data record from streambool ml::api::CLengthEncodedInputParser::parseRecordLoop(const READER_FUNC&, ml::api::CInputParser::TStrRefVec&) [with READER_FUNC = ml::api::CLengthEncodedInputParser::readStreamIntoVecs(const TVecReaderFunc&, const TRegisterMutableFieldFunc&)::; ml::api::CInputParser::TStrRefVec = std::vector > >]Field names are emptyUnable to read field count from input streamIncorrect number of fields in input stream record: expected Unable to read field length from input streambool ml::api::CLengthEncodedInputParser::parseRecordFromStream(STR_VEC&) [with bool RESIZE_ALLOWED = false; STR_VEC = std::vector > >] is suspiciously large - assuming corrupt input streamUnable to read field data from input streamParsed field length vector::_M_fill_insertbool ml::api::CLengthEncodedInputParser::parseRecordFromStream(STR_VEC&) [with bool RESIZE_ALLOWED = true; STR_VEC = std::vector >]Number of fields is 0 in inputN2ml3api25CLengthEncodedInputParserE269}uilds/lib/api/CLengthEncodedInpustd::ptrdiff_t ml::api::CLengthEncodedInputParser::refillBuffer(ml::api::CLengthEncodedInputParser::CLengthEncodedInputParser(ml::api::CInputParser::TStrVec, stbool ml::api::CLtParser::parseRecordFromStream(STR_VEC&) [with bool RESIZE_ALLOWED = false; STR_VEC = std::vector ml::core::CRapidJsonWriterBase::getAllocator() const [with OUTPUT_STREAM = rapidjson::BasicOStreamWrapper >; SOURCE_ENCODING = rapidjson::UTF8<>; TARGET_ENCODING = rapidjson::UTF8<>; STACK_ALLOCATOR = rapidjson::CrtAllocator; unsigned int WRITE_FLAGS = 0; JSON_WRITER = rapidjson::Writer]void ml::core::CRapidJsonWriterBase::addDoubleFieldToObj(const string&, double, ml::core::CRapidJsonWriterBase::TValue&) const [with OUTPUT_STREAM = rapidjson::BasicOStreamWrapper >; SOURCE_ENCODING = rapidjson::UTF8<>; TARGET_ENCODING = rapidjson::UTF8<>; STACK_ALLOCATOR = rapidjson::CrtAllocator; unsigned int WRITE_FLAGS = 0; JSON_WRITER = rapidjson::Writer; std::string = std::__cxx11::basic_string; ml::core::CRapidJsonWriterBase::TValue = rapidjson::GenericValue >]/buildkite/builds/bk-agent-prod-k8s-1696924216424831753/elastic/ml-cpp-staging-builds/lib/api/CNdJsonOutputWriter.ccNon-numeric value output in numeric JSON document|DܶdL,N9rapidjson6WriterINS_19BasicOStreamWrapperISoEENS_4UTF8IcEES4_NS_12CrtAllocatorELj0EEEN2ml4core20CRapidJsonWriterBaseIN9rapidjson19BasicOStreamWrapperISoEENS2_4UTF8IcEES6_NS2_12CrtAllocatorELj0ENS2_6WriterEEEN2ml4core20CRapidJsonLineWriterIN9rapidjson19BasicOStreamWrapperISoEENS2_4UTF8IcEES6_NS2_12CrtAllocatorELj0EEEN2ml3api19CNdJsonOutputWriterEdJsonOutputWritevoid ml::api::CNr::writeField(const string&, const string&, rapidjson::Document&CNdJsonOutputWriN2ml3api21CNoopCategoryIdMapperE/buildkite/builds/bk-agent-prod-k8s-1696924216424831753/elastic/ml-cpp-staging-builds/lib/api/CPerPartitionCategoryIdMapper.cc local to global category ID mappings missing for partition Bad category mappings: Invalid global ID in N2ml3api29CPerPartitionCategoryIdMapperE%Guilds/lib/api/CPerPartitionCategvirtual ml::api::CGlobalCategoryId ml::api::CPerPartitionCategoryIdMapper::map(ml::model::CLocal:api::CPerPartitionCategoryIdMapper::acceptRestoreTraverser(ml::core::CStateRest/buildkite/builds/bk-agent-prod-k8s-1696924216424831753/elastic/ml-cpp-staging-builds/lib/api/CPersistenceManager.ccCannot start persist as a previous background persist is still in progressFailed to create persistence functionsBackground persist starting background threadFailed to start background persistencePeriodic persist is due after processing buckets but previous persist started at is still in progress - increasing persistence interval by is still in progress - increased persistence interval to Periodic persist is due at secondsN2ml3api19CPersistenceManager17CBackgroundThreadEersistenceManagebool ml::api::CPr::startPersist(ml::core_t::TTimr::startPersistI/buildkite/builds/bk-agent-prod-k8s-1696924216424831753/elastic/ml-cpp-staging-builds/include/api/CResultNormalizer.hbool ml::api::CResultNormalizer::parseDataField(const TStrStrUMap&, const string&, T&) const [with T = double; ml::api::CResultNormalizer::TStrStrUMap = boost::unordered::unordered_map, std::__cxx11::basic_string >; std::string = std::__cxx11::basic_string]bool ml::api::CResultNormalizer::parseDataField(const TStrStrUMap&, const string&, T&) const [with T = std::__cxx11::basic_string; ml::api::CResultNormalizer::TStrStrUMap = boost::unordered::unordered_map, std::__cxx11::basic_string >; std::string = std::__cxx11::basic_string]/buildkite/builds/bk-agent-prod-k8s-1696924216424831753/elastic/ml-cpp-staging-builds/lib/api/CResultNormalizer.ccFailed to restore JSON state for quantilesUnable to set field names for outputbool ml::api::CResultNormalizer::handleRecord(const TStrStrUMap&)No normalizer available at level 'Unable to write normalized output field in record: Unexpected : Failed to normalize score at level "" using scope ' with partition field name '' and person field name 'levelperson_field_nameperson_field_valuefunction_namevalue_field_namenormalized_scoreleafpartinflbinfluilds/include/api/CResultNormaliuilds/lib/api/CResultNormalizer.bool ml::api::CResultNormalizer::initNormalizer(:handleRecord(const TStrStrUMap&4Fis not a uint64is not a doubleis not an objectis not an array/buildkite/builds/bk-agent-prod-k8s-1696924216424831753/elastic/ml-cpp-staging-builds/lib/api/CRetrainableModelJsonReader.ccstatic ml::api::CRetrainableModelJsonReader::TNodeVecVecUPtr ml::api::CRetrainableModelJsonReader::bestForestFromJsonStream(ml::api::CRetrainableModelJsonReader::TIStreamSPtr, const TStrSizeUMap&)static ml::api::CRetrainableModelJsonReader::TEncoderUPtrStrSizeUMapPr ml::api::CRetrainableModelJsonReader::dataSummarizationFromJsonStream(ml::api::CRetrainableModelJsonReader::TIStreamSPtr, ml::core::CDataFrame&)is not a stringFeature name index '' out of bounds 'is not a boolNo encoding index for 'vector::_M_insert_aux,L ,|\l 6 bitsff ggf/buildkite/builds/bk-agent-prod-k8s-1696924216424831753/elastic/ml-cpp-staging-builds/lib/api/CSerializableToJson.ccstatic ml::api::CSerializableFromCompressedChunkedJson::TIStreamPtr ml::api::CSerializableFromCompressedChunkedJson::rawJsonStream(const string&, const string&, ml::api::CSerializableFromCompressedChunkedJson::TIStreamPtr, std::iostream&)ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/no read accessno write accessno random accessputback buffer fullgzip error/buildkite/builds/bk-agent-prod-k8s-1696924216424831753/elastic/ml-cpp-staging-builds/include/core/CBase64Filter.hvoid ml::core::CBase64Decoder::Decode(bool)Invalid size of stream for decoding: circular_bufferP vector::_M_range_insertdoc_numeoschain completealready 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pexceptINS_9iostreams10gzip_errorEEEN5boost9iostreams6detail18indirect_streambufINS0_17basic_null_deviceIcNS0_5inputEEESt11char_traitsIcESaIcES4_EEN5boost9iostreams13stream_bufferINS0_17basic_null_deviceIcNS0_5inputEEESt11char_traitsIcESaIcES3_EE>?456789:;<=  !"#$%&'()*+,-./0123"/\ VCategorization status changed to 'bool ml::core::CStateRestoreTraverser::traverseSubLevel(FUNC) [with FUNC = ml::api::CSingleFieldDataCategorizer::acceptRestoreTraverser(ml::core::CStateRestoreTraverser&)::]/buildkite/builds/bk-agent-prod-k8s-1696924216424831753/elastic/ml-cpp-staging-builds/lib/api/CSingleFieldDataCategorizer.ccbool ml::api::CSingleFieldDataCategorizer::acceptRestoreTraverser(ml::core::CStateRestoreTraverser&)Cannot restore categorizer, unexpected element: Cannot restore category ID mapper, unexpected element: ' 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