Back to Multiple platform build/check report for BioC 3.22: simplified long |
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This page was generated on 2025-08-12 12:11 -0400 (Tue, 12 Aug 2025).
Hostname | OS | Arch (*) | R version | Installed pkgs |
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nebbiolo2 | Linux (Ubuntu 24.04.2 LTS) | x86_64 | 4.5.1 (2025-06-13) -- "Great Square Root" | 4818 |
palomino8 | Windows Server 2022 Datacenter | x64 | 4.5.1 (2025-06-13 ucrt) -- "Great Square Root" | 4553 |
lconway | macOS 12.7.1 Monterey | x86_64 | 4.5.1 (2025-06-13) -- "Great Square Root" | 4595 |
kjohnson3 | macOS 13.7.1 Ventura | arm64 | 4.5.1 Patched (2025-06-14 r88325) -- "Great Square Root" | 4537 |
taishan | Linux (openEuler 24.03 LTS) | aarch64 | 4.5.0 (2025-04-11) -- "How About a Twenty-Six" | 4535 |
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 439/2317 | Hostname | OS / Arch | INSTALL | BUILD | CHECK | BUILD BIN | ||||||||
Coralysis 0.99.10 (landing page) António Sousa
| nebbiolo2 | Linux (Ubuntu 24.04.2 LTS) / x86_64 | OK | OK | OK | ![]() | ||||||||
palomino8 | Windows Server 2022 Datacenter / x64 | OK | OK | OK | OK | ![]() | ||||||||
lconway | macOS 12.7.1 Monterey / x86_64 | OK | OK | OK | OK | ![]() | ||||||||
kjohnson3 | macOS 13.7.1 Ventura / arm64 | OK | OK | OK | OK | ![]() | ||||||||
taishan | Linux (openEuler 24.03 LTS) / aarch64 | OK | OK | OK | ||||||||||
To the developers/maintainers of the Coralysis package: - Allow up to 24 hours (and sometimes 48 hours) for your latest push to git@git.bioconductor.org:packages/Coralysis.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: Coralysis |
Version: 0.99.10 |
Command: /Library/Frameworks/R.framework/Resources/bin/R CMD check --install=check:Coralysis.install-out.txt --library=/Library/Frameworks/R.framework/Resources/library --no-vignettes --timings Coralysis_0.99.10.tar.gz |
StartedAt: 2025-08-11 18:46:19 -0400 (Mon, 11 Aug 2025) |
EndedAt: 2025-08-11 18:48:45 -0400 (Mon, 11 Aug 2025) |
EllapsedTime: 146.7 seconds |
RetCode: 0 |
Status: OK |
CheckDir: Coralysis.Rcheck |
Warnings: 0 |
############################################################################## ############################################################################## ### ### Running command: ### ### /Library/Frameworks/R.framework/Resources/bin/R CMD check --install=check:Coralysis.install-out.txt --library=/Library/Frameworks/R.framework/Resources/library --no-vignettes --timings Coralysis_0.99.10.tar.gz ### ############################################################################## ############################################################################## * using log directory ‘/Users/biocbuild/bbs-3.22-bioc/meat/Coralysis.Rcheck’ * using R version 4.5.1 Patched (2025-06-14 r88325) * using platform: aarch64-apple-darwin20 * R was compiled by Apple clang version 16.0.0 (clang-1600.0.26.6) GNU Fortran (GCC) 14.2.0 * running under: macOS Ventura 13.7.1 * using session charset: UTF-8 * using option ‘--no-vignettes’ * checking for file ‘Coralysis/DESCRIPTION’ ... OK * checking extension type ... Package * this is package ‘Coralysis’ version ‘0.99.10’ * package encoding: UTF-8 * checking package namespace information ... OK * checking package dependencies ... INFO Imports includes 30 non-default packages. Importing from so many packages makes the package vulnerable to any of them becoming unavailable. Move as many as possible to Suggests and use conditionally. * 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 ‘Coralysis’ can be installed ... OK * checking installed package size ... OK * 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 dependencies in R code ... NOTE Namespace in Imports field not imported from: ‘utils’ All declared Imports should be used. * checking S3 generic/method consistency ... OK * checking replacement functions ... OK * checking foreign function calls ... OK * checking R code for possible problems ... NOTE PlotDimRed: no visible global function definition for ‘tail’ PlotExpression: no visible global function definition for ‘tail’ PlotDimRed,SingleCellExperiment: no visible global function definition for ‘tail’ PlotExpression,SingleCellExperiment: no visible global function definition for ‘tail’ Undefined global functions or variables: tail Consider adding importFrom("utils", "tail") to your NAMESPACE file. * 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 files in ‘vignettes’ ... OK * checking examples ... OK Examples with CPU (user + system) or elapsed time > 5s user system elapsed AggregateDataByBatch 10.131 1.541 17.898 * checking for unstated dependencies in ‘tests’ ... OK * checking tests ... Running ‘testthat.R’ OK * 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 NOTEs See ‘/Users/biocbuild/bbs-3.22-bioc/meat/Coralysis.Rcheck/00check.log’ for details.
Coralysis.Rcheck/00install.out
############################################################################## ############################################################################## ### ### Running command: ### ### /Library/Frameworks/R.framework/Resources/bin/R CMD INSTALL Coralysis ### ############################################################################## ############################################################################## * installing to library ‘/Library/Frameworks/R.framework/Versions/4.5-arm64/Resources/library’ * installing *source* package ‘Coralysis’ ... ** this is package ‘Coralysis’ version ‘0.99.10’ ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** 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 (Coralysis)
Coralysis.Rcheck/tests/testthat.Rout
R version 4.5.1 Patched (2025-06-14 r88325) -- "Great Square Root" Copyright (C) 2025 The R Foundation for Statistical Computing Platform: aarch64-apple-darwin20 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. > # This file is part of the standard setup for testthat. > # It is recommended that you do not modify it. > # > # Where should you do additional test configuration? > # Learn more about the roles of various files in: > # * https://r-pkgs.org/testing-design.html#sec-tests-files-overview > # * https://testthat.r-lib.org/articles/special-files.html > > library(testthat) > library(Coralysis) > > test_check("Coralysis") Loading required package: SummarizedExperiment Loading required package: MatrixGenerics Loading required package: matrixStats Attaching package: 'MatrixGenerics' The following objects are masked from 'package:matrixStats': colAlls, colAnyNAs, colAnys, colAvgsPerRowSet, colCollapse, colCounts, colCummaxs, colCummins, colCumprods, colCumsums, colDiffs, colIQRDiffs, colIQRs, colLogSumExps, colMadDiffs, colMads, colMaxs, colMeans2, colMedians, colMins, colOrderStats, colProds, colQuantiles, colRanges, colRanks, colSdDiffs, colSds, colSums2, colTabulates, colVarDiffs, colVars, colWeightedMads, colWeightedMeans, colWeightedMedians, colWeightedSds, colWeightedVars, rowAlls, rowAnyNAs, rowAnys, rowAvgsPerColSet, rowCollapse, rowCounts, rowCummaxs, rowCummins, rowCumprods, rowCumsums, rowDiffs, rowIQRDiffs, rowIQRs, rowLogSumExps, rowMadDiffs, rowMads, rowMaxs, rowMeans2, rowMedians, rowMins, rowOrderStats, rowProds, rowQuantiles, rowRanges, rowRanks, rowSdDiffs, rowSds, rowSums2, rowTabulates, rowVarDiffs, rowVars, rowWeightedMads, rowWeightedMeans, rowWeightedMedians, rowWeightedSds, rowWeightedVars Loading required package: GenomicRanges Loading required package: stats4 Loading required package: BiocGenerics Loading required package: generics Attaching package: 'generics' The following objects are masked from 'package:base': as.difftime, as.factor, as.ordered, intersect, is.element, setdiff, setequal, union Attaching package: 'BiocGenerics' The following objects are masked from 'package:stats': IQR, mad, sd, var, xtabs The following objects are masked from 'package:base': Filter, Find, Map, Position, Reduce, anyDuplicated, aperm, append, as.data.frame, basename, cbind, colnames, dirname, do.call, duplicated, eval, evalq, get, grep, grepl, is.unsorted, lapply, mapply, match, mget, order, paste, pmax, pmax.int, pmin, pmin.int, rank, rbind, rownames, sapply, saveRDS, table, tapply, unique, unsplit, which.max, which.min Loading required package: S4Vectors Attaching package: 'S4Vectors' The following object is masked from 'package:utils': findMatches The following objects are masked from 'package:base': I, expand.grid, unname Loading required package: IRanges Loading required package: Seqinfo Loading required package: Biobase Welcome to Bioconductor Vignettes contain introductory material; view with 'browseVignettes()'. To cite Bioconductor, see 'citation("Biobase")', and for packages 'citation("pkgname")'. Attaching package: 'Biobase' The following object is masked from 'package:MatrixGenerics': rowMedians The following objects are masked from 'package:matrixStats': anyMissing, rowMedians WARNING: Setting 'divisive.method' to 'cluster' as 'batch.label=NULL'. If 'batch.label=NULL', 'divisive.method' can be one of: 'cluster', 'random'. Initializing divisive ICP clustering... | | | 0% | |=== | 4% | |====== | 8% | |======== | 12% | |=========== | 16% | |============== | 20% | |================= | 24% | |==================== | 28% | |====================== | 32% | |========================= | 36% | |============================ | 40% | |=============================== | 44% | |================================== | 48% | |==================================== | 52% | |======================================= | 56% | |========================================== | 60% | |============================================= | 64% | |================================================ | 68% | |================================================== | 72% | |===================================================== | 76% | |======================================================== | 80% | |=========================================================== | 84% | |============================================================== | 88% | |================================================================ | 92% | |=================================================================== | 96% | |======================================================================| 100% Divisive ICP clustering completed successfully. Predicting cell cluster probabilities using ICP models... Prediction of cell cluster probabilities completed successfully. Multi-level integration completed successfully. Divisive ICP: selecting ICP tables multiple of 1 WARNING: Setting 'divisive.method' to 'cluster' as 'batch.label=NULL'. If 'batch.label=NULL', 'divisive.method' can be one of: 'cluster', 'random'. Initializing divisive ICP clustering... | | | 0% | |=== | 4% | |====== | 8% | |======== | 12% | |=========== | 16% | |============== | 20% | |================= | 24% | |==================== | 28% | |====================== | 32% | |========================= | 36% | |============================ | 40% | |=============================== | 44% | |================================== | 48% | |==================================== | 52% | |======================================= | 56% | |========================================== | 60% | |============================================= | 64% | |================================================ | 68% | |================================================== | 72% | |===================================================== | 76% | |======================================================== | 80% | |=========================================================== | 84% | |============================================================== | 88% | |================================================================ | 92% | |=================================================================== | 96% | |======================================================================| 100% Divisive ICP clustering completed successfully. Predicting cell cluster probabilities using ICP models... Prediction of cell cluster probabilities completed successfully. Multi-level integration completed successfully. Divisive ICP: selecting ICP tables multiple of 1 Initializing divisive ICP clustering... | | | 0% | |=== | 4% | |====== | 8% | |======== | 12% | |=========== | 16% | |============== | 20% | |================= | 24% | |==================== | 28% | |====================== | 32% | |========================= | 36% | |============================ | 40% | |=============================== | 44% | |================================== | 48% | |==================================== | 52% | |======================================= | 56% | |========================================== | 60% | |============================================= | 64% | |================================================ | 68% | |================================================== | 72% | |===================================================== | 76% | |======================================================== | 80% | |=========================================================== | 84% | |============================================================== | 88% | |================================================================ | 92% | |=================================================================== | 96% | |======================================================================| 100% Divisive ICP clustering completed successfully. Predicting cell cluster probabilities using ICP models... Prediction of cell cluster probabilities completed successfully. Multi-level integration completed successfully. Parallelism disabled, because threads = 1 Initializing divisive ICP clustering... ICP run: 1 ICP run: 2 ICP run: 3 ICP run: 4 ICP run: 5 ICP run: 6 ICP run: 7 ICP run: 8 ICP run: 9 ICP run: 10 ICP run: 11 ICP run: 12 ICP run: 13 ICP run: 14 ICP run: 15 ICP run: 16 ICP run: 17 ICP run: 18 ICP run: 19 ICP run: 20 ICP run: 21 ICP run: 22 ICP run: 23 ICP run: 24 ICP run: 25 Divisive ICP clustering completed successfully. Predicting cell cluster probabilities using ICP models... Prediction of cell cluster probabilities completed successfully. Multi-level integration completed successfully. Initializing divisive ICP clustering... | | | 0% | |======= | 10% | |============== | 20% | |===================== | 30% | |============================ | 40% | |=================================== | 50% | |========================================== | 60% | |================================================= | 70% | |======================================================== | 80% | |=============================================================== | 90% | |======================================================================| 100% Divisive ICP clustering completed successfully. Predicting cell cluster probabilities using ICP models... Prediction of cell cluster probabilities completed successfully. Multi-level integration completed successfully. WARNING: Setting 'divisive.method' to 'cluster' as 'batch.label=NULL'. If 'batch.label=NULL', 'divisive.method' can be one of: 'cluster', 'random'. Initializing divisive ICP clustering... | | | 0% | |=== | 4% | |====== | 8% | |======== | 12% | |=========== | 16% | |============== | 20% | |================= | 24% | |==================== | 28% | |====================== | 32% | |========================= | 36% | |============================ | 40% | |=============================== | 44% | |================================== | 48% | |==================================== | 52% | |======================================= | 56% | |========================================== | 60% | |============================================= | 64% | |================================================ | 68% | |================================================== | 72% | |===================================================== | 76% | |======================================================== | 80% | |=========================================================== | 84% | |============================================================== | 88% | |================================================================ | 92% | |=================================================================== | 96% | |======================================================================| 100% Divisive ICP clustering completed successfully. Predicting cell cluster probabilities using ICP models... Prediction of cell cluster probabilities completed successfully. Multi-level integration completed successfully. [ FAIL 0 | WARN 0 | SKIP 0 | PASS 11 ] > > proc.time() user system elapsed 15.220 5.102 14.580
Coralysis.Rcheck/Coralysis-Ex.timings
name | user | system | elapsed | |
AggregateDataByBatch | 10.131 | 1.541 | 17.898 | |
BinCellClusterProbability | 0 | 0 | 0 | |
CellBinsFeatureCorrelation | 0 | 0 | 0 | |
CellClusterProbabilityDistribution | 2.629 | 1.656 | 2.566 | |
FindAllClusterMarkers | 0.081 | 0.014 | 0.095 | |
FindClusterMarkers | 0.086 | 0.009 | 0.095 | |
GetCellClusterProbability | 1.731 | 1.285 | 1.871 | |
GetFeatureCoefficients | 2.600 | 1.682 | 2.477 | |
HeatmapFeatures | 0.134 | 0.043 | 0.185 | |
MajorityVotingFeatures | 0 | 0 | 0 | |
PCAElbowPlot | 1.97 | 1.46 | 2.41 | |
PlotClusterTree | 2.787 | 1.740 | 2.785 | |
PlotDimRed | 0.636 | 0.033 | 0.672 | |
PlotExpression | 0.473 | 0.014 | 0.494 | |
PrepareData | 0.097 | 0.006 | 0.103 | |
ReferenceMapping | 1.934 | 1.063 | 2.221 | |
RunPCA | 1.924 | 1.489 | 2.219 | |
RunParallelDivisiveICP | 2.054 | 1.610 | 2.432 | |
RunTSNE | 0.610 | 0.089 | 0.726 | |
RunUMAP | 2.648 | 1.555 | 2.996 | |
SummariseCellClusterProbability | 2.029 | 1.541 | 2.413 | |
TabulateCellBinsByGroup | 0 | 0 | 0 | |
VlnPlot | 0.406 | 0.112 | 0.435 | |