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This page was generated on 2025-01-24 11:39 -0500 (Fri, 24 Jan 2025).

HostnameOSArch (*)R versionInstalled pkgs
nebbiolo1Linux (Ubuntu 24.04.1 LTS)x86_64R Under development (unstable) (2025-01-20 r87609) -- "Unsuffered Consequences" 4609
palomino7Windows Server 2022 Datacenterx64R Under development (unstable) (2025-01-21 r87610 ucrt) -- "Unsuffered Consequences" 4393
lconwaymacOS 12.7.1 Montereyx86_64R Under development (unstable) (2025-01-20 r87609) -- "Unsuffered Consequences" 3839
kjohnson3macOS 13.7.1 Venturaarm64R Under development (unstable) (2025-01-20 r87609) -- "Unsuffered Consequences" 3835
kunpeng2Linux (openEuler 22.03 LTS-SP1)aarch64R Under development (unstable) (2024-11-24 r87369) -- "Unsuffered Consequences" 4408
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 829/2286HostnameOS / ArchINSTALLBUILDCHECKBUILD BIN
GenProSeq 1.11.0  (landing page)
Dongmin Jung
Snapshot Date: 2025-01-23 13:40 -0500 (Thu, 23 Jan 2025)
git_url: https://git.bioconductor.org/packages/GenProSeq
git_branch: devel
git_last_commit: 45b803f
git_last_commit_date: 2024-10-29 11:09:45 -0500 (Tue, 29 Oct 2024)
nebbiolo1Linux (Ubuntu 24.04.1 LTS) / x86_64  OK    OK    OK  UNNEEDED, same version is already published
palomino7Windows Server 2022 Datacenter / x64  OK    ERROR  skippedskipped
lconwaymacOS 12.7.1 Monterey / x86_64  OK    ERROR  skippedskipped
kjohnson3macOS 13.7.1 Ventura / arm64  OK    ERROR  skippedskipped
kunpeng2Linux (openEuler 22.03 LTS-SP1) / aarch64  OK    OK    WARNINGS  


BUILD results for GenProSeq on palomino7

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.

raw results


Summary

Package: GenProSeq
Version: 1.11.0
Command: chmod a+r GenProSeq -R && E:\biocbuild\bbs-3.21-bioc\R\bin\R.exe --arch x64 CMD build --keep-empty-dirs --no-resave-data GenProSeq
StartedAt: 2025-01-23 19:00:15 -0500 (Thu, 23 Jan 2025)
EndedAt: 2025-01-23 19:02:26 -0500 (Thu, 23 Jan 2025)
EllapsedTime: 131.5 seconds
RetCode: 1
Status:   ERROR  
PackageFile: None
PackageFileSize: NA

Command output

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### Running command:
###
###   chmod a+r GenProSeq -R && E:\biocbuild\bbs-3.21-bioc\R\bin\R.exe --arch x64 CMD build --keep-empty-dirs --no-resave-data GenProSeq
###
##############################################################################
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* 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
2025-01-23 19:01:05.710370: I tensorflow/core/util/port.cc:153] 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`.
2025-01-23 19:01:35.193696: I tensorflow/core/util/port.cc:153] 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`.
2025-01-23 19:02:24.659019: 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 AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
C:\PYTHON~2\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