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 12:12 -0400 (Tue, 12 Aug 2025).
Hostname | OS | Arch (*) | R version | Installed pkgs |
---|---|---|---|---|
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 1880/2317 | Hostname | OS / Arch | INSTALL | BUILD | CHECK | BUILD BIN | ||||||||
scDblFinder 1.23.3 (landing page) Pierre-Luc Germain
| nebbiolo2 | Linux (Ubuntu 24.04.2 LTS) / x86_64 | OK | OK | WARNINGS | ![]() | ||||||||
palomino8 | Windows Server 2022 Datacenter / x64 | OK | OK | ERROR | OK | |||||||||
lconway | macOS 12.7.1 Monterey / x86_64 | OK | OK | WARNINGS | OK | ![]() | ||||||||
kjohnson3 | macOS 13.7.1 Ventura / arm64 | OK | OK | WARNINGS | OK | ![]() | ||||||||
taishan | Linux (openEuler 24.03 LTS) / aarch64 | OK | OK | WARNINGS | ||||||||||
To the developers/maintainers of the scDblFinder package: - Allow up to 24 hours (and sometimes 48 hours) for your latest push to git@git.bioconductor.org:packages/scDblFinder.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: scDblFinder |
Version: 1.23.3 |
Command: /Library/Frameworks/R.framework/Resources/bin/R CMD check --install=check:scDblFinder.install-out.txt --library=/Library/Frameworks/R.framework/Resources/library --no-vignettes --timings scDblFinder_1.23.3.tar.gz |
StartedAt: 2025-08-11 21:27:00 -0400 (Mon, 11 Aug 2025) |
EndedAt: 2025-08-11 21:29:20 -0400 (Mon, 11 Aug 2025) |
EllapsedTime: 140.6 seconds |
RetCode: 0 |
Status: WARNINGS |
CheckDir: scDblFinder.Rcheck |
Warnings: 1 |
############################################################################## ############################################################################## ### ### Running command: ### ### /Library/Frameworks/R.framework/Resources/bin/R CMD check --install=check:scDblFinder.install-out.txt --library=/Library/Frameworks/R.framework/Resources/library --no-vignettes --timings scDblFinder_1.23.3.tar.gz ### ############################################################################## ############################################################################## * using log directory ‘/Users/biocbuild/bbs-3.22-bioc/meat/scDblFinder.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 ‘scDblFinder/DESCRIPTION’ ... OK * checking extension type ... Package * this is package ‘scDblFinder’ version ‘1.23.3’ * 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 ‘scDblFinder’ 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 ... WARNING Missing or unexported object: ‘xgboost::xgb.params’ * checking S3 generic/method consistency ... OK * checking replacement functions ... OK * checking foreign function calls ... OK * checking R code for possible problems ... NOTE .xgbtrain: no visible global function definition for ‘packageVersion’ plotThresholds: no visible binding for global variable ‘threshold’ plotThresholds: no visible binding for global variable ‘value’ plotThresholds: no visible binding for global variable ‘variable’ Undefined global functions or variables: packageVersion threshold value variable Consider adding importFrom("utils", "packageVersion") to your NAMESPACE file. * checking Rd files ... OK * checking Rd metadata ... OK * checking Rd cross-references ... NOTE Found the following Rd file(s) with Rd \link{} targets missing package anchors: computeDoubletDensity.Rd: SummarizedExperiment-class, SingleCellExperiment-class, sizeFactors, scran-gene-selection, BiocNeighborParam-class, queryNeighbors, BiocSingularParam-class, BiocParallelParam-class, librarySizeFactors findDoubletClusters.Rd: SummarizedExperiment-class, SingleCellExperiment-class, findMarkers, colLabels, scran-gene-selection, librarySizeFactors, DataFrame-class, SimpleList-class recoverDoublets.Rd: SummarizedExperiment-class, SingleCellExperiment-class, assays, reducedDims, BiocNeighborParam-class, BiocParallelParam-class, DataFrame-class, metadata, doubletCells, doubletCluster Please provide package anchors for all Rd \link{} targets not in the package itself and the base packages. * 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 * 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: 1 WARNING, 2 NOTEs See ‘/Users/biocbuild/bbs-3.22-bioc/meat/scDblFinder.Rcheck/00check.log’ for details.
scDblFinder.Rcheck/00install.out
############################################################################## ############################################################################## ### ### Running command: ### ### /Library/Frameworks/R.framework/Resources/bin/R CMD INSTALL scDblFinder ### ############################################################################## ############################################################################## * installing to library ‘/Library/Frameworks/R.framework/Versions/4.5-arm64/Resources/library’ * installing *source* package ‘scDblFinder’ ... ** this is package ‘scDblFinder’ version ‘1.23.3’ ** using staged installation ** R ** 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 (scDblFinder)
scDblFinder.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. > library(testthat) > library(scDblFinder) Loading required package: SingleCellExperiment 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 > test_check("scDblFinder") [1] train-logloss:0.440600 Will train until train_logloss hasn't improved in 2 rounds. [2] train-logloss:0.300078 [3] train-logloss:0.211246 [4] train-logloss:0.151689 [5] train-logloss:0.110405 [6] train-logloss:0.081185 [7] train-logloss:0.060214 [8] train-logloss:0.045017 [9] train-logloss:0.033927 [10] train-logloss:0.025788 [11] train-logloss:0.019788 [12] train-logloss:0.015345 [13] train-logloss:0.012039 [14] train-logloss:0.009565 [15] train-logloss:0.007703 [1] train-logloss:0.440600 Will train until train_logloss hasn't improved in 2 rounds. [2] train-logloss:0.300078 [3] train-logloss:0.211246 [4] train-logloss:0.151689 [5] train-logloss:0.110405 [6] train-logloss:0.081185 [7] train-logloss:0.060214 [8] train-logloss:0.045017 [9] train-logloss:0.033927 [10] train-logloss:0.025788 [11] train-logloss:0.019788 [12] train-logloss:0.015345 [13] train-logloss:0.012039 [14] train-logloss:0.009565 [1] train-logloss:0.440600 Will train until train_logloss hasn't improved in 2 rounds. [2] train-logloss:0.300078 [3] train-logloss:0.211246 [4] train-logloss:0.151689 [5] train-logloss:0.110405 [6] train-logloss:0.081185 [7] train-logloss:0.060214 [8] train-logloss:0.045017 [9] train-logloss:0.033927 [10] train-logloss:0.025788 [11] train-logloss:0.019788 [12] train-logloss:0.015345 [13] train-logloss:0.012039 [14] train-logloss:0.009565 [1] train-logloss:0.440583 Will train until train_logloss hasn't improved in 2 rounds. [2] train-logloss:0.300057 [3] train-logloss:0.211224 [4] train-logloss:0.151667 [5] train-logloss:0.110384 [6] train-logloss:0.081165 [7] train-logloss:0.060195 [8] train-logloss:0.044999 [9] train-logloss:0.033909 [10] train-logloss:0.025771 [11] train-logloss:0.019771 [12] train-logloss:0.015329 [13] train-logloss:0.012024 [14] train-logloss:0.009551 [1] train-logloss:0.440583 Will train until train_logloss hasn't improved in 2 rounds. [2] train-logloss:0.300057 [3] train-logloss:0.211224 [4] train-logloss:0.151667 [5] train-logloss:0.110384 [6] train-logloss:0.081165 [7] train-logloss:0.060195 [8] train-logloss:0.044999 [9] train-logloss:0.033909 [10] train-logloss:0.025771 [11] train-logloss:0.019771 [12] train-logloss:0.015329 [13] train-logloss:0.012024 [14] train-logloss:0.009551 [1] train-logloss:0.440583 Will train until train_logloss hasn't improved in 2 rounds. [2] train-logloss:0.300057 [3] train-logloss:0.211224 [4] train-logloss:0.151667 [5] train-logloss:0.110384 [6] train-logloss:0.081165 [7] train-logloss:0.060195 [8] train-logloss:0.044999 [9] train-logloss:0.033909 [10] train-logloss:0.025771 [11] train-logloss:0.019771 [12] train-logloss:0.015329 [13] train-logloss:0.012024 [14] train-logloss:0.009551 [1] train-logloss:0.449569 Will train until train_logloss hasn't improved in 2 rounds. [2] train-logloss:0.309870 [3] train-logloss:0.222482 [4] train-logloss:0.162767 [5] train-logloss:0.121283 [6] train-logloss:0.091879 [7] train-logloss:0.070008 [8] train-logloss:0.053720 [9] train-logloss:0.041381 [10] train-logloss:0.032555 [11] train-logloss:0.025717 [12] train-logloss:0.021118 [13] train-logloss:0.017482 [14] train-logloss:0.015190 [15] train-logloss:0.013069 [16] train-logloss:0.011453 [17] train-logloss:0.010461 [18] train-logloss:0.009659 [1] train-logloss:0.449522 Will train until train_logloss hasn't improved in 2 rounds. [2] train-logloss:0.309817 [3] train-logloss:0.222422 [4] train-logloss:0.162708 [5] train-logloss:0.121225 [6] train-logloss:0.091824 [7] train-logloss:0.069957 [8] train-logloss:0.053675 [9] train-logloss:0.041343 [10] train-logloss:0.032521 [11] train-logloss:0.025687 [12] train-logloss:0.021346 [13] train-logloss:0.017924 [14] train-logloss:0.015454 [15] train-logloss:0.013121 [1] train-logloss:0.449522 Will train until train_logloss hasn't improved in 2 rounds. [2] train-logloss:0.309817 [3] train-logloss:0.222422 [4] train-logloss:0.162708 [5] train-logloss:0.121225 [6] train-logloss:0.091824 [7] train-logloss:0.069957 [8] train-logloss:0.053675 [9] train-logloss:0.041343 [10] train-logloss:0.032521 [11] train-logloss:0.025687 [12] train-logloss:0.021346 [13] train-logloss:0.017924 [14] train-logloss:0.015454 [15] train-logloss:0.013121 [16] train-logloss:0.011451 [17] train-logloss:0.010437 [18] train-logloss:0.009303 [1] train-logloss:0.449932 Will train until train_logloss hasn't improved in 2 rounds. [2] train-logloss:0.313650 [3] train-logloss:0.226330 [4] train-logloss:0.165734 [5] train-logloss:0.124376 [6] train-logloss:0.094929 [7] train-logloss:0.073664 [8] train-logloss:0.057945 [9] train-logloss:0.046462 [10] train-logloss:0.037686 [11] train-logloss:0.031356 [12] train-logloss:0.026155 [13] train-logloss:0.022511 [14] train-logloss:0.019517 [15] train-logloss:0.017306 [16] train-logloss:0.015473 [17] train-logloss:0.014145 [18] train-logloss:0.012902 [19] train-logloss:0.012053 [1] train-logloss:0.454503 Will train until train_logloss hasn't improved in 2 rounds. [2] train-logloss:0.314910 [3] train-logloss:0.227685 [4] train-logloss:0.168618 [5] train-logloss:0.127368 [6] train-logloss:0.097822 [7] train-logloss:0.076387 [8] train-logloss:0.060830 [9] train-logloss:0.049095 [10] train-logloss:0.040558 [11] train-logloss:0.033526 [12] train-logloss:0.028304 [13] train-logloss:0.024057 [14] train-logloss:0.020964 [1] train-logloss:0.454703 Will train until train_logloss hasn't improved in 2 rounds. [2] train-logloss:0.316178 [3] train-logloss:0.229590 [4] train-logloss:0.172385 [5] train-logloss:0.131528 [6] train-logloss:0.101403 [7] train-logloss:0.078246 [8] train-logloss:0.062601 [9] train-logloss:0.050229 [10] train-logloss:0.041802 [11] train-logloss:0.034680 [12] train-logloss:0.029848 [13] train-logloss:0.025245 [14] train-logloss:0.022141 [15] train-logloss:0.019109 [16] train-logloss:0.017582 [17] train-logloss:0.016094 [18] train-logloss:0.014616 [19] train-logloss:0.013396 [1] train-logloss:0.439549 Will train until train_logloss hasn't improved in 2 rounds. [2] train-logloss:0.298794 [3] train-logloss:0.209914 [4] train-logloss:0.150369 [5] train-logloss:0.109118 [6] train-logloss:0.079937 [7] train-logloss:0.059007 [8] train-logloss:0.043851 [9] train-logloss:0.032800 [10] train-logloss:0.024702 [11] train-logloss:0.018742 [12] train-logloss:0.014341 [13] train-logloss:0.011080 [14] train-logloss:0.008653 [15] train-logloss:0.006840 [16] train-logloss:0.005477 [1] train-logloss:0.439549 Will train until train_logloss hasn't improved in 2 rounds. [2] train-logloss:0.298794 [3] train-logloss:0.209914 [4] train-logloss:0.150369 [5] train-logloss:0.109118 [6] train-logloss:0.079937 [7] train-logloss:0.059007 [8] train-logloss:0.043851 [9] train-logloss:0.032800 [10] train-logloss:0.024702 [11] train-logloss:0.018742 [12] train-logloss:0.014341 [13] train-logloss:0.011080 [14] train-logloss:0.008653 [1] train-logloss:0.439549 Will train until train_logloss hasn't improved in 2 rounds. [2] train-logloss:0.298794 [3] train-logloss:0.209914 [4] train-logloss:0.150369 [5] train-logloss:0.109118 [6] train-logloss:0.079937 [7] train-logloss:0.059007 [8] train-logloss:0.043851 [9] train-logloss:0.032800 [10] train-logloss:0.024702 [11] train-logloss:0.018742 [12] train-logloss:0.014341 [13] train-logloss:0.011080 [14] train-logloss:0.008653 [ FAIL 0 | WARN 8 | SKIP 0 | PASS 104 ] [ FAIL 0 | WARN 8 | SKIP 0 | PASS 104 ] > > proc.time() user system elapsed 21.032 0.543 21.891
scDblFinder.Rcheck/scDblFinder-Ex.timings
name | user | system | elapsed | |
TFIDF | 0.015 | 0.001 | 0.023 | |
addDoublets | 0.112 | 0.010 | 0.135 | |
amulet | 0.618 | 0.002 | 0.681 | |
amuletFromCounts | 0.085 | 0.002 | 0.088 | |
clusterStickiness | 2.609 | 0.033 | 2.687 | |
computeDoubletDensity | 1.554 | 0.023 | 1.609 | |
createDoublets | 0.073 | 0.001 | 0.077 | |
cxds2 | 0.111 | 0.002 | 0.124 | |
directDblClassification | 0.766 | 0.018 | 0.855 | |
doubletPairwiseEnrichment | 1.753 | 0.019 | 1.833 | |
doubletThresholding | 2.645 | 0.031 | 2.722 | |
fastcluster | 0.224 | 0.004 | 0.229 | |
findDoubletClusters | 0.391 | 0.022 | 0.413 | |
getArtificialDoublets | 0.001 | 0.000 | 0.002 | |
getCellPairs | 0.003 | 0.000 | 0.003 | |
getExpectedDoublets | 0.001 | 0.001 | 0.001 | |
mockDoubletSCE | 0.100 | 0.001 | 0.102 | |
propHomotypic | 0 | 0 | 0 | |
recoverDoublets | 0.068 | 0.001 | 0.070 | |
scDblFinder | 2.290 | 0.030 | 2.365 | |
selFeatures | 0.078 | 0.002 | 0.079 | |