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URL:  https://git.bioconductor.org/packages/dioscRi
Last Changed Rev:  / Revision: 
Last Changed Date: 

Hostname OS /Arch BUILD CHECK BUILD BIN POST-PROCESSING
nebbiolo2 Linux (Ubuntu 24.04.3 LTS)/x86_64   ERROR     skipped     skipped     skipped  

nebbiolo2 Summary

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Package: dioscRi
Version: 0.99.0
RVersion: 4.5
BiocVersion: 3.22
BuildCommand: /home/biocbuild/bbs-3.22-bioc/R/bin/R CMD build --keep-empty-dirs --no-resave-data dioscRi
BuildTime: 1 minutes 21.50 seconds
CheckCommand:
CheckTime:
BuildBinCommand:
BuildBinTime:
PackageFileSize: -1.00 KiB
BuildID:: dioscRi_20251103182634
PreProcessing: Starting Git clone. Installing dependencies. Checking Git Clone. Installing package: dioscRi. Starting Build package.
PostProcessing: Finished Git clone. Package type: Software. Installing dependency status: 0. Checking git clone status: 0. Installing package status: 0. Build Package status: 1.

nebbiolo2 BUILD SRC output

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===============================

 R CMD BUILD

===============================

* checking for file ‘dioscRi/DESCRIPTION’ ... OK
* preparing ‘dioscRi’:
* checking DESCRIPTION meta-information ... OK
* installing the package to build vignettes
* creating vignettes ... ERROR
--- re-building ‘Introduction.Rmd’ using rmarkdown
Downloading setuptools (1.1MiB)
Downloading grpcio (6.3MiB)
Downloading tensorboard (5.3MiB)
Downloading libclang (23.4MiB)
Downloading pygments (1.2MiB)
Downloading jedi (1.5MiB)
Downloading keras (1.4MiB)
Downloading tensorflow-cpu (246.9MiB)
Downloading tensorboard-data-server (6.3MiB)
Downloading ml-dtypes (4.7MiB)
Downloading scipy (34.2MiB)
 Downloading setuptools
 Downloading pygments
 Downloading jedi
 Downloading keras
 Downloading ml-dtypes
 Downloading tensorboard
 Downloading grpcio
 Downloading tensorboard-data-server
 Downloading libclang
 Downloading scipy
 Downloading tensorflow-cpu
Installed 60 packages in 248ms

 *** caught segfault ***
address 0x11500000000, cause 'memory not mapped'

Traceback:
 1: py_module_import(module, convert = convert)
 2: import(module)
 3: doTryCatch(return(expr), name, parentenv, handler)
 4: tryCatchOne(expr, names, parentenv, handlers[[1L]])
 5: tryCatchList(expr, classes, parentenv, handlers)
 6: tryCatch({    import(module)    TRUE}, error = clear_error_handler(FALSE))
 7: py_module_available("tensorflow")
 8: tf_config()
 9: tf_version()
10: set_random_seed(1994)
11: eval(expr, envir)
12: eval(expr, envir)
13: withVisible(eval(expr, envir))
14: 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 = NULL)})
15: eval(call)
16: eval(call)
17: with_handlers({    for (expr in tle$exprs) {        ev <- withVisible(eval(expr, envir))        watcher$capture_plot_and_output()        watcher$print_value(ev$value, ev$visible, envir)    }    TRUE}, handlers)
18: doWithOneRestart(return(expr), restart)
19: withOneRestart(expr, restarts[[1L]])
20: withRestartList(expr, restarts[-nr])
21: doWithOneRestart(return(expr), restart)
22: withOneRestart(withRestartList(expr, restarts[-nr]), restarts[[nr]])
23: withRestartList(expr, restarts)
24: withRestarts(with_handlers({    for (expr in tle$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)
25: evaluate::evaluate(...)
26: 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$render, options))
27: in_dir(input_dir(), expr)
28: in_input_dir(evaluate(code, envir = env, new_device = FALSE,     keep_warning = if (is.numeric(options$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)))
29: eng_r(options)
30: block_exec(params)
31: call_block(x)
32: process_group(group)
33: withCallingHandlers(if (tangle) process_tangle(group) else process_group(group),     error = function(e) {        if (progress && is.function(pb$interrupt))             pb$interrupt()        if (xfun::pkg_available("rlang", "1.0.0")) {            if (is_R_CMD_build() || is_R_CMD_check()) {                cnd = tryCatch(rlang::entrace(e), error = identity)                error <<- format(cnd)            }            else {                rlang::entrace(e)            }        }    })
34: xfun:::handle_error(withCallingHandlers(if (tangle) process_tangle(group) else process_group(group),     error = function(e) {        if (progress && is.function(pb$interrupt))             pb$interrupt()        if (xfun::pkg_available("rlang", "1.0.0")) {            if (is_R_CMD_build() || is_R_CMD_check()) {                cnd = tryCatch(rlang::entrace(e), error = identity)                error <<- format(cnd)            }            else {                rlang::entrace(e)            }        }    }), function(loc) {    setwd(wd)    write_utf8(res, output %n% stdout())    paste0("\nQuitting from ", loc, if (!is.null(error))         paste0("\n", rule(), error, "\n", rule()))}, if (labels[i] != "") sprintf(" [%s]", labels[i]), get_loc)
35: process_file(text, output)
36: knitr::knit(knit_input, knit_output, envir = envir, quiet = quiet)
37: rmarkdown::render(file, encoding = encoding, quiet = quiet, envir = globalenv(),     output_dir = getwd(), ...)
38: vweave_rmarkdown(...)
39: engine$weave(file, quiet = quiet, encoding = enc)
40: doTryCatch(return(expr), name, parentenv, handler)
41: tryCatchOne(expr, names, parentenv, handlers[[1L]])
42: tryCatchList(expr, classes, parentenv, handlers)
43: tryCatch({    engine$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)))})
44: tools::buildVignettes(dir = ".", tangle = TRUE)
An irrecoverable exception occurred. R is aborting now ...
Segmentation fault (core dumped)

nebbiolo2 CHECK output

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nebbiolo2 BUILD BIN output

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