Back to Multiple platform build/check report for BioC 3.22: simplified long |
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This page was generated on 2025-10-04 12:07 -0400 (Sat, 04 Oct 2025).
Hostname | OS | Arch (*) | R version | Installed pkgs |
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nebbiolo2 | Linux (Ubuntu 24.04.3 LTS) | x86_64 | 4.5.1 Patched (2025-08-23 r88802) -- "Great Square Root" | 4853 |
lconway | macOS 12.7.1 Monterey | x86_64 | 4.5.1 Patched (2025-09-10 r88807) -- "Great Square Root" | 4640 |
kjohnson3 | macOS 13.7.7 Ventura | arm64 | 4.5.1 Patched (2025-09-10 r88807) -- "Great Square Root" | 4585 |
taishan | Linux (openEuler 24.03 LTS) | aarch64 | 4.5.0 (2025-04-11) -- "How About a Twenty-Six" | 4576 |
Click on any hostname to see more info about the system (e.g. compilers) (*) as reported by 'uname -p', except on Windows and Mac OS X |
Package 1542/2341 | Hostname | OS / Arch | INSTALL | BUILD | CHECK | BUILD BIN | ||||||||
pathMED 1.1.5 (landing page) Jordi Martorell-Marugán
| nebbiolo2 | Linux (Ubuntu 24.04.3 LTS) / x86_64 | OK | OK | ERROR | |||||||||
lconway | macOS 12.7.1 Monterey / x86_64 | OK | OK | ERROR | OK | |||||||||
kjohnson3 | macOS 13.7.7 Ventura / arm64 | OK | OK | ERROR | OK | |||||||||
taishan | Linux (openEuler 24.03 LTS) / aarch64 | OK | OK | ERROR | ||||||||||
To the developers/maintainers of the pathMED package: - Allow up to 24 hours (and sometimes 48 hours) for your latest push to git@git.bioconductor.org:packages/pathMED.git to reflect on this report. See Troubleshooting Build Report for more information. - Use the following Renviron settings to reproduce errors and warnings. - If 'R CMD check' started to fail recently on the Linux builder(s) over a missing dependency, add the missing dependency to 'Suggests:' in your DESCRIPTION file. See Renviron.bioc for more information. - See Martin Grigorov's blog post for how to debug Linux ARM64 related issues on a x86_64 host. |
Package: pathMED |
Version: 1.1.5 |
Command: /home/biocbuild/R/R/bin/R CMD check --install=check:pathMED.install-out.txt --library=/home/biocbuild/R/R/site-library --no-vignettes --timings pathMED_1.1.5.tar.gz |
StartedAt: 2025-10-03 10:02:48 -0000 (Fri, 03 Oct 2025) |
EndedAt: 2025-10-03 10:08:08 -0000 (Fri, 03 Oct 2025) |
EllapsedTime: 320.4 seconds |
RetCode: 1 |
Status: ERROR |
CheckDir: pathMED.Rcheck |
Warnings: NA |
############################################################################## ############################################################################## ### ### Running command: ### ### /home/biocbuild/R/R/bin/R CMD check --install=check:pathMED.install-out.txt --library=/home/biocbuild/R/R/site-library --no-vignettes --timings pathMED_1.1.5.tar.gz ### ############################################################################## ############################################################################## * using log directory ‘/home/biocbuild/bbs-3.22-bioc/meat/pathMED.Rcheck’ * using R version 4.5.0 (2025-04-11) * using platform: aarch64-unknown-linux-gnu * R was compiled by aarch64-unknown-linux-gnu-gcc (GCC) 14.2.0 GNU Fortran (GCC) 14.2.0 * running under: openEuler 24.03 (LTS) * using session charset: UTF-8 * using option ‘--no-vignettes’ * checking for file ‘pathMED/DESCRIPTION’ ... OK * this is package ‘pathMED’ version ‘1.1.5’ * package encoding: UTF-8 * checking package namespace information ... OK * checking package dependencies ... OK * checking if this is a source package ... OK * checking if there is a namespace ... OK * checking for hidden files and directories ... OK * checking for portable file names ... OK * checking for sufficient/correct file permissions ... OK * checking whether package ‘pathMED’ can be installed ... OK * checking installed package size ... INFO installed size is 5.9Mb sub-directories of 1Mb or more: R 1.0Mb data 4.8Mb * checking package directory ... OK * checking ‘build’ directory ... OK * checking DESCRIPTION meta-information ... OK * checking top-level files ... OK * checking for left-over files ... OK * checking index information ... OK * checking package subdirectories ... OK * checking code files for non-ASCII characters ... OK * checking R files for syntax errors ... OK * checking whether the package can be loaded ... OK * checking whether the package can be loaded with stated dependencies ... OK * checking whether the package can be unloaded cleanly ... OK * checking whether the namespace can be loaded with stated dependencies ... OK * checking whether the namespace can be unloaded cleanly ... OK * checking loading without being on the library search path ... OK * checking dependencies in R code ... OK * checking S3 generic/method consistency ... OK * checking replacement functions ... OK * checking foreign function calls ... OK * checking R code for possible problems ... OK * checking Rd files ... OK * checking Rd metadata ... OK * checking Rd cross-references ... OK * checking for missing documentation entries ... OK * checking for code/documentation mismatches ... OK * checking Rd \usage sections ... OK * checking Rd contents ... OK * checking for unstated dependencies in examples ... OK * checking contents of ‘data’ directory ... OK * checking data for non-ASCII characters ... OK * checking data for ASCII and uncompressed saves ... OK * checking R/sysdata.rda ... OK * checking files in ‘vignettes’ ... OK * checking examples ... ERROR Running examples in ‘pathMED-Ex.R’ failed The error most likely occurred in: > base::assign(".ptime", proc.time(), pos = "CheckExEnv") > ### Name: predictExternal > ### Title: Predict conditions in external datasets > ### Aliases: predictExternal > > ### ** Examples > > data(refData) > > commonGenes <- intersect(rownames(refData$dataset1), + rownames(refData$dataset2)) > dataset1 <- refData$dataset1[commonGenes, ] > dataset2 <- refData$dataset2[commonGenes, ] > > scoresExample <- getScores(dataset1, geneSets = "tmod", method = "Z-score") ℹ GSVA version 2.3.1 ! Some gene sets have size one. Consider setting minSize > 1 ℹ Using a SnowParam parallel back-end with 1 workers ℹ Calculating Z-scores for 408 gene sets ℹ Centering and scaling values ✔ Calculations finished > > set.seed(123) > trainedModel <- trainModel( + inputData = scoresExample, + metadata = refData$metadata1, + var2predict = "group", + models = methodsML("svmLinear", + outcomeClass = "character" + ), + Koutter = 2, + Kinner = 2, + repeatsCV = 1 + ) Training models... | | | 0%Warning in .local(x, ...) : Variable(s) `' constant. Cannot scale data. Warning in .local(x, ...) : Variable(s) `' constant. Cannot scale data. Warning in .local(x, ...) : Variable(s) `' constant. Cannot scale data. Warning in .local(x, ...) : Variable(s) `' constant. Cannot scale data. Warning in .local(x, ...) : Variable(s) `' constant. Cannot scale data. Warning in .local(x, ...) : Variable(s) `' constant. Cannot scale data. Warning in .local(x, ...) : Variable(s) `' constant. Cannot scale data. Warning in .local(x, ...) : Variable(s) `' constant. Cannot scale data. Warning in .local(x, ...) : Variable(s) `' constant. Cannot scale data. Warning in .local(x, ...) : Variable(s) `' constant. Cannot scale data. Warning in .local(x, ...) : Variable(s) `' constant. Cannot scale data. Warning in .local(x, ...) : Variable(s) `' constant. Cannot scale data. Warning in .local(x, ...) : Variable(s) `' constant. Cannot scale data. Warning in .local(x, ...) : Variable(s) `' constant. Cannot scale data. Warning in .local(x, ...) : Variable(s) `' constant. Cannot scale data. Warning in .local(x, ...) : Variable(s) `' constant. Cannot scale data. Warning in .local(x, ...) : Variable(s) `' constant. Cannot scale data. Warning in .local(x, ...) : Variable(s) `' constant. Cannot scale data. Warning in .local(x, ...) : Variable(s) `' constant. Cannot scale data. Warning in .local(x, ...) : Variable(s) `' constant. Cannot scale data. Warning in .local(x, ...) : Variable(s) `' constant. Cannot scale data. Warning in .local(x, ...) : Variable(s) `' constant. Cannot scale data. Warning in .local(x, ...) : Variable(s) `' constant. Cannot scale data. Warning in .local(x, ...) : Variable(s) `' constant. Cannot scale data. Warning in .local(x, ...) : Variable(s) `' constant. Cannot scale data. Warning in .local(x, ...) : Variable(s) `' constant. Cannot scale data. Warning in .local(x, ...) : Variable(s) `' constant. Cannot scale data. Warning in .local(x, ...) : Variable(s) `' constant. Cannot scale data. Warning in .local(x, ...) : Variable(s) `' constant. Cannot scale data. Warning in .local(x, ...) : Variable(s) `' constant. Cannot scale data. Warning in .local(x, ...) : Variable(s) `' constant. Cannot scale data. Warning in .local(x, ...) : Variable(s) `' constant. Cannot scale data. Warning in .local(x, ...) : Variable(s) `' constant. Cannot scale data. Warning in .local(x, ...) : Variable(s) `' constant. Cannot scale data. Warning in .local(x, ...) : Variable(s) `' constant. Cannot scale data. Warning in .local(x, ...) : Variable(s) `' constant. Cannot scale data. Warning in .local(x, ...) : Variable(s) `' constant. Cannot scale data. Warning in .local(x, ...) : Variable(s) `' constant. Cannot scale data. Warning in .local(x, ...) : Variable(s) `' constant. Cannot scale data. Warning in .local(x, ...) : Variable(s) `' constant. Cannot scale data. Warning in .local(x, ...) : Variable(s) `' constant. Cannot scale data. | |=================================== | 50%Error in confusionMatrix.default(x, y, positive = positiveClass) : positive argument must be character Calls: trainModel ... lapply -> FUN -> <Anonymous> -> confusionMatrix.default Execution halted Examples with CPU (user + system) or elapsed time > 5s user system elapsed mScores_filterPaths 34.396 0.196 34.682 mScores_imputeFromReference 31.359 0.247 31.677 mScores_createReference 30.413 0.295 30.796 ann2term 17.030 0.627 17.699 * checking for unstated dependencies in ‘tests’ ... OK * checking tests ... Running ‘runTests.R’ ERROR Running the tests in ‘tests/runTests.R’ failed. Last 13 lines of output: ERROR in test_trainModel: Error in confusionMatrix.default(x, y, positive = positiveClass) : positive argument must be character Test files with failing tests test_predictExternal.R test_predictExternal test_trainModel.R test_trainModel Error in BiocGenerics:::testPackage("pathMED") : unit tests failed for package pathMED Execution halted * checking for unstated dependencies in vignettes ... OK * checking package vignettes ... OK * checking running R code from vignettes ... SKIPPED * checking re-building of vignette outputs ... SKIPPED * checking PDF version of manual ... OK * DONE Status: 2 ERRORs See ‘/home/biocbuild/bbs-3.22-bioc/meat/pathMED.Rcheck/00check.log’ for details.
pathMED.Rcheck/00install.out
############################################################################## ############################################################################## ### ### Running command: ### ### /home/biocbuild/R/R/bin/R CMD INSTALL pathMED ### ############################################################################## ############################################################################## * installing to library ‘/home/biocbuild/R/R-4.5.0/site-library’ * installing *source* package ‘pathMED’ ... ** this is package ‘pathMED’ version ‘1.1.5’ ** using staged installation ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (pathMED)
pathMED.Rcheck/tests/runTests.Rout.fail
R version 4.5.0 (2025-04-11) -- "How About a Twenty-Six" Copyright (C) 2025 The R Foundation for Statistical Computing Platform: aarch64-unknown-linux-gnu R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type 'license()' or 'licence()' for distribution details. R is a collaborative project with many contributors. Type 'contributors()' for more information and 'citation()' on how to cite R or R packages in publications. Type 'demo()' for some demos, 'help()' for on-line help, or 'help.start()' for an HTML browser interface to help. Type 'q()' to quit R. > BiocGenerics:::testPackage("pathMED") Healthy samples supplied. Calculating M-Scores using healthy samples as reference for 30 samples | | | 0% | |== | 3% | |===== | 7% | |======= | 10% | |========= | 13% | |============ | 17% | |============== | 20% | |================ | 23% | |=================== | 27% | |===================== | 30% | |======================= | 33% | |========================== | 37% | |============================ | 40% | |============================== | 43% | |================================= | 47% | |=================================== | 50% | |===================================== | 53% | |======================================== | 57% | |========================================== | 60% | |============================================ | 63% | |=============================================== | 67% | |================================================= | 70% | |=================================================== | 73% | |====================================================== | 77% | |======================================================== | 80% | |========================================================== | 83% | |============================================================= | 87% | |=============================================================== | 90% | |================================================================= | 93% | |==================================================================== | 97% | |======================================================================| 100% ℹ GSVA version 2.3.1 ℹ Using a SnowParam parallel back-end with 1 workers ℹ Calculating GSVA ranks ℹ GSVA dense (classical) algorithm ℹ Row-wise ECDF estimation with Gaussian kernels ℹ Calculating GSVA column ranks ℹ Using a SnowParam parallel back-end with 1 workers ℹ Calculating GSVA scores ✔ Calculations finished ℹ GSVA version 2.3.1 ℹ Using a SnowParam parallel back-end with 1 workers ℹ Calculating ssGSEA scores for 5 gene sets ℹ Calculating ranks ℹ Calculating rank weights ℹ Normalizing ssGSEA scores ✔ Calculations finished ℹ GSVA version 2.3.1 ℹ Using a SnowParam parallel back-end with 1 workers ℹ Calculating PLAGE scores for 5 gene sets ℹ Centering and scaling values ✔ Calculations finished ℹ GSVA version 2.3.1 ℹ Using a SnowParam parallel back-end with 1 workers ℹ Calculating Z-scores for 5 gene sets ℹ Centering and scaling values ✔ Calculations finished Filtering collinear pathways... Loading required namespace: fgsea | | | 0% | |======================= | 33% | |=============================================== | 67% | |======================================================================| 100% | | | 0% | |======================= | 33% | |=============================================== | 67% | |======================================================================| 100% | | | 0% | |======================= | 33% | |=============================================== | 67% | |======================================================================| 100% | | | 0% | |======================= | 33% | |=============================================== | 67% | |======================================================================| 100% | | | 0% | |======================= | 33% | |=============================================== | 67% | |======================================================================| 100% | | | 0% | |======================= | 33% | |=============================================== | 67% | |======================================================================| 100% | | | 0% | |======================= | 33% | |=============================================== | 67% | |======================================================================| 100% | | | 0% | |======================= | 33% | |=============================================== | 67% | |======================================================================| 100% | | | 0% | |======================= | 33% | |=============================================== | 67% | |======================================================================| 100% | | | 0% | |======================= | 33% | |=============================================== | 67% | |======================================================================| 100% ℹ GSVA version 2.3.1 ! Some gene sets have size one. Consider setting minSize > 1 ℹ Using a SnowParam parallel back-end with 1 workers ℹ Calculating Z-scores for 408 gene sets ℹ Centering and scaling values ✔ Calculations finished Loading required namespace: randomForest Loading required namespace: gam Loading required namespace: xgboost Loading required namespace: ada Training models... | | | 0% | |=================================== | 50%Timing stopped at: 9.885 0.08 9.992 Error in confusionMatrix.default(x, y, positive = positiveClass) : positive argument must be character In addition: There were 46 warnings (use warnings() to see them) ℹ GSVA version 2.3.1 ! Some gene sets have size one. Consider setting minSize > 1 ℹ Using a SnowParam parallel back-end with 1 workers ℹ Calculating Z-scores for 427 gene sets ℹ Centering and scaling values ✔ Calculations finished Training models... | | | 0% | |=================================== | 50%Timing stopped at: 8.281 0.084 8.391 Error in confusionMatrix.default(x, y, positive = positiveClass) : positive argument must be character RUNIT TEST PROTOCOL -- Fri Oct 3 10:08:05 2025 *********************************************** Number of test functions: 3 Number of errors: 2 Number of failures: 0 1 Test Suite : pathMED RUnit Tests - 3 test functions, 2 errors, 0 failures ERROR in test_predictExternal: Error in confusionMatrix.default(x, y, positive = positiveClass) : positive argument must be character ERROR in test_trainModel: Error in confusionMatrix.default(x, y, positive = positiveClass) : positive argument must be character Test files with failing tests test_predictExternal.R test_predictExternal test_trainModel.R test_trainModel Error in BiocGenerics:::testPackage("pathMED") : unit tests failed for package pathMED Execution halted
pathMED.Rcheck/pathMED-Ex.timings
name | user | system | elapsed | |
ann2term | 17.030 | 0.627 | 17.699 | |
buildRefObject | 0.094 | 0.016 | 0.110 | |
dissectDB | 2.669 | 0.063 | 2.743 | |
getScores | 3.881 | 0.056 | 3.943 | |
mScores_createReference | 30.413 | 0.295 | 30.796 | |
mScores_filterPaths | 34.396 | 0.196 | 34.682 | |
mScores_imputeFromReference | 31.359 | 0.247 | 31.677 | |
methodsML | 0.058 | 0.004 | 0.072 | |