Back to Multiple platform build/check report for BioC 3.20: simplified long |
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This page was generated on 2024-08-21 11:41 -0400 (Wed, 21 Aug 2024).
Hostname | OS | Arch (*) | R version | Installed pkgs |
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nebbiolo2 | Linux (Ubuntu 22.04.3 LTS) | x86_64 | 4.4.1 (2024-06-14) -- "Race for Your Life" | 4703 |
palomino8 | Windows Server 2022 Datacenter | x64 | 4.4.1 (2024-06-14 ucrt) -- "Race for Your Life" | 4440 |
lconway | macOS 12.7.1 Monterey | x86_64 | 4.4.1 (2024-06-14) -- "Race for Your Life" | 4472 |
kjohnson3 | macOS 13.6.5 Ventura | arm64 | 4.4.1 (2024-06-14) -- "Race for Your Life" | 4421 |
kunpeng2 | Linux (openEuler 22.03 LTS-SP1) | aarch64 | 4.4.1 (2024-06-14) -- "Race for Your Life" | 4414 |
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 823/2255 | Hostname | OS / Arch | INSTALL | BUILD | CHECK | BUILD BIN | ||||||||
GenProSeq 1.9.0 (landing page) Dongmin Jung
| nebbiolo2 | Linux (Ubuntu 22.04.3 LTS) / x86_64 | OK | OK | OK | ![]() | ||||||||
palomino8 | Windows Server 2022 Datacenter / x64 | OK | ERROR | skipped | skipped | |||||||||
lconway | macOS 12.7.1 Monterey / x86_64 | OK | OK | OK | OK | ![]() | ||||||||
kjohnson3 | macOS 13.6.5 Ventura / arm64 | OK | ERROR | skipped | skipped | |||||||||
kunpeng2 | Linux (openEuler 22.03 LTS-SP1) / aarch64 | OK | OK | OK | ||||||||||
To the developers/maintainers of the GenProSeq package: - Allow up to 24 hours (and sometimes 48 hours) for your latest push to git@git.bioconductor.org:packages/GenProSeq.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. |
Package: GenProSeq |
Version: 1.9.0 |
Command: chmod a+r GenProSeq -R && F:\biocbuild\bbs-3.20-bioc\R\bin\R.exe --arch x64 CMD build --keep-empty-dirs --no-resave-data GenProSeq |
StartedAt: 2024-08-20 18:48:54 -0400 (Tue, 20 Aug 2024) |
EndedAt: 2024-08-20 18:50:48 -0400 (Tue, 20 Aug 2024) |
EllapsedTime: 114.3 seconds |
RetCode: 1 |
Status: ERROR |
PackageFile: None |
PackageFileSize: NA |
############################################################################## ############################################################################## ### ### Running command: ### ### chmod a+r GenProSeq -R && F:\biocbuild\bbs-3.20-bioc\R\bin\R.exe --arch x64 CMD build --keep-empty-dirs --no-resave-data GenProSeq ### ############################################################################## ############################################################################## * checking for file 'GenProSeq/DESCRIPTION' ... OK * preparing 'GenProSeq': * checking DESCRIPTION meta-information ... OK * installing the package to build vignettes * creating vignettes ... ERROR --- re-building 'GenProSeq.Rmd' using rmarkdown 2024-08-20 18:49:39.796591: I tensorflow/core/util/port.cc:113] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`. 2024-08-20 18:49:53.325740: I tensorflow/core/util/port.cc:113] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`. 2024-08-20 18:50:47.488650: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations. To enable the following instructions: AVX2 AVX512F FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags. C:\PYTHON~1\Lib\site-packages\keras\src\layers\reshaping\flatten.py:37: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead. super().__init__(**kwargs) Quitting from lines 55-81 [unnamed-chunk-1] (GenProSeq.Rmd) Error: processing vignette 'GenProSeq.Rmd' failed with diagnostics: object 'combined' not found --- failed re-building 'GenProSeq.Rmd' SUMMARY: processing the following file failed: 'GenProSeq.Rmd' Error: Vignette re-building failed. Execution halted