############################################################################## ############################################################################## ### ### Running command: ### ### /Library/Frameworks/R.framework/Resources/bin/R CMD build --keep-empty-dirs --no-resave-data APL ### ############################################################################## ############################################################################## * checking for file ‘APL/DESCRIPTION’ ... OK * preparing ‘APL’: * checking DESCRIPTION meta-information ... OK * installing the package to build vignettes * creating vignettes ...sh: line 1: 72764 Segmentation fault: 11 '/Library/Frameworks/R.framework/Resources/bin/Rscript' --vanilla --default-packages= -e "tools::buildVignettes(dir = '.', tangle = TRUE)" > '/tmp/RtmpzSunXD/xshell8e894927e37f' 2>&1 ERROR --- re-building ‘APL.Rmd’ using rmarkdown *** caught segfault *** address 0x540, cause 'memory not mapped' Traceback: 1: py_call_impl(callable, call_args$unnamed, call_args$named) 2: svd_torch(S) 3: run_cacomp(obj = obj, coords = coords, princ_coords = princ_coords, python = python, dims = dims, top = top, inertia = inertia, rm_zeros = rm_zeros, ...) 4: cacomp(obj = obj, coords = TRUE, top = top, princ_coords = 3, dims = dims, python = python) 5: cacomp(obj = obj, coords = TRUE, top = top, princ_coords = 3, dims = dims, python = python) 6: run_APL(obj = mat, caobj = caobj, dims = dims, group = group, mark_rows = mark_rows, mark_cols = mark_cols, nrow = nrow, top = top, score = score, reps = reps, python = python, row_labs = row_labs, col_labs = col_labs, type = type, show_cols = show_cols, show_rows = show_rows, score_cutoff = score_cutoff, score_color = score_color, pd_method = pd_method, pd_reps = pd_reps, pd_use = pd_use) 7: .local(obj, group, caobj, dims, nrow, top, score, mark_rows, mark_cols, reps, python, row_labs, col_labs, type, show_cols, show_rows, score_cutoff, score_color, pd_method, pd_reps, pd_use, ...) 8: runAPL(darmanis, assay = "logcounts", top = 5000, group = which(darmanis$cell.type == "oligodendrocytes"), type = "ggplot", python = TRUE) 9: runAPL(darmanis, assay = "logcounts", top = 5000, group = which(darmanis$cell.type == "oligodendrocytes"), type = "ggplot", python = TRUE) 10: eval(expr, envir) 11: eval(expr, envir) 12: withVisible(eval(expr, envir)) 13: 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))}) 14: eval(call) 15: eval(call) 16: with_handlers({ for (expr in tle$exprs) { ev <- withVisible(eval(expr, envir)) watcher$capture_plot_and_output() watcher$print_value(ev$value, ev$visible, envir) } TRUE}, handlers) 17: doWithOneRestart(return(expr), restart) 18: withOneRestart(expr, restarts[[1L]]) 19: withRestartList(expr, restarts[-nr]) 20: doWithOneRestart(return(expr), restart) 21: withOneRestart(withRestartList(expr, restarts[-nr]), restarts[[nr]]) 22: withRestartList(expr, restarts[-nr]) 23: doWithOneRestart(return(expr), restart) 24: withOneRestart(withRestartList(expr, restarts[-nr]), restarts[[nr]]) 25: withRestartList(expr, restarts) 26: withRestarts(with_handlers({ for (expr in tle$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) stop(cnd) }) 27: evaluate::evaluate(...) 28: 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$render, options)) 29: in_dir(input_dir(), expr) 30: in_input_dir(evaluate(code, envir = env, new_device = FALSE, keep_warning = if (is.numeric(options$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))) 31: eng_r(options) 32: block_exec(params) 33: call_block(x) 34: process_group(group) 35: withCallingHandlers(if (tangle) process_tangle(group) else process_group(group), error = function(e) if (xfun::pkg_available("rlang", "1.0.0")) rlang::entrace(e)) 36: 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) 37: process_file(text, output) 38: knitr::knit(knit_input, knit_output, envir = envir, quiet = quiet) 39: rmarkdown::render(file, encoding = encoding, quiet = quiet, envir = globalenv(), output_dir = getwd(), ...) 40: vweave_rmarkdown(...) 41: engine$weave(file, quiet = quiet, encoding = enc) 42: doTryCatch(return(expr), name, parentenv, handler) 43: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 44: tryCatchList(expr, classes, parentenv, handlers) 45: tryCatch({ engine$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)))}) 46: tools::buildVignettes(dir = ".", tangle = TRUE) An irrecoverable exception occurred. R is aborting now ...