Last updated on 2024-09-29 15:49:46 CEST.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 0.2.4 | 7.51 | 86.91 | 94.42 | OK | |
| r-devel-linux-x86_64-debian-gcc | 0.2.4 | 5.36 | 57.30 | 62.66 | OK | |
| r-devel-linux-x86_64-fedora-clang | 0.2.4 | 149.22 | OK | |||
| r-devel-linux-x86_64-fedora-gcc | 0.2.4 | 159.31 | ERROR | |||
| r-devel-windows-x86_64 | 0.2.4 | 9.00 | 111.00 | 120.00 | OK | |
| r-patched-linux-x86_64 | 0.2.4 | OK | ||||
| r-release-linux-x86_64 | 0.2.4 | 6.56 | 83.39 | 89.95 | 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 | 9.00 | 107.00 | 116.00 | 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(0.0291249502971674, 0.189074273935655, 0.380897853989767, 0.351672572351866, 0.497011907904637, 0.517743331916058, 0.254390551500323, 0.273059795011769, 0.116869996294809, -0.0866421384686702, 0.176401700387448, 0.19421218116777, 0.326644631818576, 0.183726788243723, 0.35729158376519, 0.581806780285097, 0.588230155155799, 0.257686113056036, 0.457894025238669, 0.398643015801361, 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1.28748446503282, 1.31927511455428, 1.11467032740318, 1.37922522199554, 1.53155569834759, 1.68824199231191, 1.54248362347317, 1.38517063772489, 1.34370315746325, 1.53931765777586, 1.33333652415598, 1.01117944590276, 1.10025071528677, 0.829773772397749, 0.77575725176277, 0.804172059817122, 0.861155279076241, 1.11074744468194, 1.00026014964274, 0.714245924347045, 1.00765582718843, 0.810741349508678, 1.20148622142969, 1.26142007748657, 1.30665717656671, 1.28197963170908, 1.18589582214499, 1.23228077136591, 1.12162919920989, 1.41997461262531, 1.06579348586813, 1.23978659630286, 0.757490371290379, 0.668107307068897, 0.821873405272445, 0.795892379413325, 0.952077130284722, 0.978375843590985, 1.1385287131154, 1.32158402838936, 1.19991558017229, 1.07793596544525, 0.965447305144413, 0.833515889159685, 0.985371242040092, 1.07180596800452, 0.781863955759266, 1.09653347197742, 1.06801147602834, 0.258925991705846), 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/RtmpzuFOxs/file2a6e7729227a72.rds")
An irrecoverable exception occurred. R is aborting now ...
Flavor: r-devel-linux-x86_64-fedora-gcc