Last updated on 2024-10-16 00:49:47 CEST.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 0.2.4 | 7.48 | 85.78 | 93.26 | OK | |
| r-devel-linux-x86_64-debian-gcc | 0.2.4 | 5.20 | 57.73 | 62.93 | OK | |
| r-devel-linux-x86_64-fedora-clang | 0.2.4 | 158.37 | OK | |||
| r-devel-linux-x86_64-fedora-gcc | 0.2.4 | 142.96 | ERROR | |||
| r-devel-windows-x86_64 | 0.2.4 | 10.00 | 112.00 | 122.00 | OK | |
| r-patched-linux-x86_64 | 0.2.4 | 6.54 | 80.31 | 86.85 | OK | |
| r-release-linux-x86_64 | 0.2.4 | 7.00 | 80.28 | 87.28 | OK | |
| r-release-macos-arm64 | 0.2.4 | 49.00 | OK | |||
| r-release-macos-x86_64 | 0.2.4 | 83.00 | OK | |||
| r-release-windows-x86_64 | 0.2.4 | 10.00 | 112.00 | 122.00 | OK | |
| r-oldrel-macos-arm64 | 0.2.4 | 49.00 | OK | |||
| r-oldrel-macos-x86_64 | 0.2.4 | 185.00 | OK | |||
| r-oldrel-windows-x86_64 | 0.2.4 | 11.00 | 127.00 | 138.00 | OK |
Version: 0.2.4
Check: re-building of vignette outputs
Result: ERROR
Error(s) in re-building vignettes:
--- re-building ‘MVSPC-Workflow.Rmd’ using rmarkdown
*** caught segfault ***
address 0x1, cause 'memory not mapped'
Traceback:
1: merge.xts(..., all = all, fill = fill, suffixes = suffixes)
2: cbind(deparse.level, ...)
3: cbind(alarmObs, alarms_xts)
4: (function (data, trainObs, updateFreq = ceiling(0.5 * trainObs), faultsToTriggerAlarm = 5, ...) { ls <- lazy_dots(...) faultObj_ls <- do.call(faultFilter, args = c(list(trainData = data[1:trainObs, ], testData = data[(trainObs + 1):nrow(data), ], updateFreq = updateFreq, faultsToTriggerAlarm = faultsToTriggerAlarm), lazy_eval(ls))) fault_xts <- faultObj_ls$faultObj obsToKeepNew <- faultObj_ls$nonAlarmedTestObs obsToKeep <- faultObj_ls$nonAlarmedTestObs while (nrow(obsToKeepNew) == updateFreq) { n <- nrow(obsToKeepNew) if (n < trainObs) { trainData <- rbind(data[(n + 1):trainObs, ], obsToKeep) } else { trainData <- head(obsToKeep[(n - trainObs + 1):n, ], n = trainObs) } testTime <- index(obsToKeep[nrow(obsToKeep)]) testData <- data[paste0(testTime, "/")] testData <- testData[-1, ] if (nrow(testData) == 0) break faultObj_ls <- do.call(faultFilter, args = c(list(trainData = trainData, testData = testData, updateFreq = updateFreq, faultsToTriggerAlarm = faultsToTriggerAlarm), lazy_eval(ls))) fault_xts[index(faultObj_ls$faultObj), ] <- faultObj_ls$faultObj obsToKeepNew <- faultObj_ls$nonAlarmedTestObs if (nrow(obsToKeepNew) != 0) { obsToKeep <- rbind(obsToKeep, obsToKeepNew) } } faultNames <- colnames(fault_xts) faultNames[5] <- "Alarm" colnames(fault_xts) <- faultNames alarms_xts <- fault_xts[fault_xts[, 5] != 0, ] alarmIndex <- index(alarms_xts) alarmObs <- data[alarmIndex] alarms_xts <- cbind(alarmObs, alarms_xts) trainSpecs <- faultObj_ls$trainSpecs list(FaultChecks = fault_xts, Non_Alarmed_Obs = obsToKeep, Alarms = alarms_xts, TrainingSpecs = trainSpecs)})(data = c(0.171608635990512, 0.476988256049853, 0.0315121623507765, 0.200815502916994, 0.260862688837984, 0.265591135649226, 0.277371935912555, 0.268264739393543, 0.259226888169709, 0.376271284799718, 0.176028466918886, 0.163661726872502, 0.15112710914068, 0.220425390999238, 0.168259976743374, 0.0962830855868281, 0.33041022437642, 0.154812359955937, 0.246726803628502, 0.326275439406949, 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0.979647995770298, 1.24187853710122, 1.44768085206596, 1.09912249358537, 1.46185006888966, 1.35054725824789, 0.916008961365044, 1.16304135264282, 0.344113317903497, 0.975904506843554, 0.952607919944663, 1.12230363225482, 1.13857638997307, 1.22684090092804, 0.833838482259929, 1.06252136489316, 1.21346225546497, 1.06057651997214, 1.12346917530521, 0.915983657441919, 1.20021602408639, 1.41892615310183, 0.94235243323391, 1.18423674894108, 0.864409595526117, 0.823171036805319, 0.808488978148073, 1.20681593480689, 1.20718022745845, 0.817374898772493, 0.889917033327922, 1.05697313025952, 0.968575098880773, 1.28280502118547, 0.899120426772274, 1.03669296352749, 1.10795820629358, 0.811450612111595, 0.891296469117416, 0.629748800231243, 0.924626225478447, 0.907148044605589, 0.838708816656177, 1.01284243181833, 0.868904250483372, 0.648972413276649, 1.08834134903387, 0.975995940003017, 1.11261636204657, 1.19300908675938, 1.24616203100939, 1.0456203823121, 0.903460190671598, 0.897679638399003, 0.893930858376068, 1.1489356368406, 1.33303537790882, 1.227122319597, 1.19102835143954, 1.35920791063826, 1.25484157081067, 1.15206988128159, 0.833528705165488, 0.761104261677365, 0.847197302148962, 0.869992381681376, 0.863296999831643, 0.801613711699745, 0.480775703643964), trainObs = c(A = 1440), updateFreq = c(A = 480), faultsToTriggerAlarm = 5)
5: do.call(processMonitor, args = c(list(data = data_ls[[names(classes)[i]]], trainObs = floor(trainObs * memberProp[i]), updateFreq = floor(updateFreq * memberProp[i]), faultsToTriggerAlarm = faultsToTriggerAlarm), lazy_eval(ls)))
6: FUN(X[[i]], ...)
7: lapply(1:length(classes), function(i) { do.call(processMonitor, args = c(list(data = data_ls[[names(classes)[i]]], trainObs = floor(trainObs * memberProp[i]), updateFreq = floor(updateFreq * memberProp[i]), faultsToTriggerAlarm = faultsToTriggerAlarm), lazy_eval(ls)))})
8: mspTrain(data = train1A_xts[, -1], labelVector = train1A_xts[, 1], trainObs = 3 * 24 * 60, updateFreq = 1 * 24 * 60, Dynamic = TRUE, lagsIncluded = 0:1, faultsToTriggerAlarm = 5)
9: eval(expr, envir)
10: eval(expr, envir)
11: withVisible(eval(expr, envir))
12: withCallingHandlers(code, message = function (cnd) { watcher$capture_plot_and_output() if (on_message$capture) { watcher$push(cnd) } if (on_message$silence) { invokeRestart("muffleMessage") }}, warning = function (cnd) { if (getOption("warn") >= 2 || getOption("warn") < 0) { return() } watcher$capture_plot_and_output() if (on_warning$capture) { cnd <- sanitize_call(cnd) watcher$push(cnd) } if (on_warning$silence) { invokeRestart("muffleWarning") }}, error = function (cnd) { watcher$capture_plot_and_output() cnd <- sanitize_call(cnd) watcher$push(cnd) switch(on_error, continue = invokeRestart("eval_continue"), stop = invokeRestart("eval_stop"), error = invokeRestart("eval_error", cnd))})
13: eval(call)
14: eval(call)
15: with_handlers({ for (expr in tle$exprs) { ev <- withVisible(eval(expr, envir)) watcher$capture_plot_and_output() watcher$print_value(ev$value, ev$visible, envir) } TRUE}, handlers)
16: doWithOneRestart(return(expr), restart)
17: withOneRestart(expr, restarts[[1L]])
18: withRestartList(expr, restarts[-nr])
19: doWithOneRestart(return(expr), restart)
20: withOneRestart(withRestartList(expr, restarts[-nr]), restarts[[nr]])
21: withRestartList(expr, restarts[-nr])
22: doWithOneRestart(return(expr), restart)
23: withOneRestart(withRestartList(expr, restarts[-nr]), restarts[[nr]])
24: withRestartList(expr, restarts)
25: withRestarts(with_handlers({ for (expr in tle$exprs) { ev <- withVisible(eval(expr, envir)) watcher$capture_plot_and_output() watcher$print_value(ev$value, ev$visible, envir) } TRUE}, handlers), eval_continue = function() TRUE, eval_stop = function() FALSE, eval_error = function(cnd) signalCondition(cnd))
26: evaluate::evaluate(...)
27: evaluate(code, envir = env, new_device = FALSE, keep_warning = if (is.numeric(options$warning)) TRUE else options$warning, keep_message = if (is.numeric(options$message)) TRUE else options$message, stop_on_error = if (is.numeric(options$error)) options$error else { if (options$error && options$include) 0L else 2L }, output_handler = knit_handlers(options$render, options))
28: in_dir(input_dir(), expr)
29: in_input_dir(evaluate(code, envir = env, new_device = FALSE, keep_warning = if (is.numeric(options$warning)) TRUE else options$warning, keep_message = if (is.numeric(options$message)) TRUE else options$message, stop_on_error = if (is.numeric(options$error)) options$error else { if (options$error && options$include) 0L else 2L }, output_handler = knit_handlers(options$render, options)))
30: eng_r(options)
31: block_exec(params)
32: call_block(x)
33: process_group(group)
34: withCallingHandlers(if (tangle) process_tangle(group) else process_group(group), error = function(e) if (xfun::pkg_available("rlang", "1.0.0")) rlang::entrace(e))
35: xfun:::handle_error(withCallingHandlers(if (tangle) process_tangle(group) else process_group(group), error = function(e) if (xfun::pkg_available("rlang", "1.0.0")) rlang::entrace(e)), function(loc) { setwd(wd) write_utf8(res, output %n% stdout()) paste0("\nQuitting from lines ", loc) }, if (labels[i] != "") sprintf(" [%s]", labels[i]), get_loc)
36: process_file(text, output)
37: knitr::knit(knit_input, knit_output, envir = envir, quiet = quiet)
38: rmarkdown::render(file, encoding = encoding, quiet = quiet, envir = globalenv(), output_dir = getwd(), ...)
39: vweave_rmarkdown(...)
40: engine$weave(file, quiet = quiet, encoding = enc)
41: doTryCatch(return(expr), name, parentenv, handler)
42: tryCatchOne(expr, names, parentenv, handlers[[1L]])
43: tryCatchList(expr, classes, parentenv, handlers)
44: tryCatch({ engine$weave(file, quiet = quiet, encoding = enc) setwd(startdir) output <- find_vignette_product(name, by = "weave", engine = engine) if (!have.makefile && vignette_is_tex(output)) { texi2pdf(file = output, clean = FALSE, quiet = quiet) output <- find_vignette_product(name, by = "texi2pdf", engine = engine) } outputs <- c(outputs, output)}, error = function(e) { thisOK <<- FALSE fails <<- c(fails, file) message(gettextf("Error: processing vignette '%s' failed with diagnostics:\n%s", file, conditionMessage(e)))})
45: tools::buildVignettes(dir = "/data/gannet/ripley/R/packages/tests-devel/mvMonitoring.Rcheck/vign_test/mvMonitoring", skip = TRUE, ser_elibs = "/tmp/RtmpUURCQH/file27628e1edd6201.rds")
An irrecoverable exception occurred. R is aborting now ...
Flavor: r-devel-linux-x86_64-fedora-gcc