Last updated on 2024-09-28 11:50:29 CEST.
| Package | ERROR | OK |
|---|---|---|
| CTNote | 13 | |
| mvMonitoring | 1 | 12 |
Current CRAN status: OK: 13
Current CRAN status: ERROR: 1, OK: 12
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(-0.025414464948743, 0.140397725486185, 0.143013927328612, 0.194676316923709, 0.23045149165203, 0.222877425532642, 0.314866668122448, 0.205978299246845, 0.182069670441875, 0.0450982430960715, 0.21747492537745, 0.011116666527395, 0.243650580034216, 0.202479787634068, 0.354009511841445, 0.218389121170244, 0.434853099754089, 0.237074676687405, 0.4959943118371, 0.456494438871472, 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1.02555322227228, 0.929024168726189, 1.25894664547748, 1.4091762242758, 1.26026115631963, 1.53023878635262, 1.20809539593345, 1.12571070136265, 1.35418651857462, 1.08977773008477, 0.953125236409374, 0.781776252883711, 1.09016009453654, 1.28003481431295, 1.48024651957754, 1.37397874111302, 1.18453615120728, 1.1914692340658, 1.00917409978147, 0.906202801103576, 0.921984946787658, 1.13723679160953, 0.96588071412811, 0.992443301105437, 1.09837506312451, 1.33733972747922, 1.4085935331886, 1.40780322389893, 1.31776018636734, 1.47728320724784, 1.32798863443695, 1.37948908120509, 1.12433338375004, 1.17296913128844, 0.452675825141155), 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/RtmpRzXJYr/file30758266748665.rds")
An irrecoverable exception occurred. R is aborting now ...
Flavor: r-devel-linux-x86_64-fedora-gcc