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This page was generated on 2025-10-16 11:41 -0400 (Thu, 16 Oct 2025).

HostnameOSArch (*)R versionInstalled pkgs
nebbiolo1Linux (Ubuntu 24.04.3 LTS)x86_644.5.1 (2025-06-13) -- "Great Square Root" 4833
merida1macOS 12.7.6 Montereyx86_644.5.1 RC (2025-06-05 r88288) -- "Great Square Root" 4614
kjohnson1macOS 13.7.5 Venturaarm644.5.1 Patched (2025-06-14 r88325) -- "Great Square Root" 4555
kunpeng2Linux (openEuler 24.03 LTS)aarch64R Under development (unstable) (2025-02-19 r87757) -- "Unsuffered Consequences" 4586
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 21/2341HostnameOS / ArchINSTALLBUILDCHECKBUILD BIN
adverSCarial 1.6.0  (landing page)
Ghislain FIEVET
Snapshot Date: 2025-10-13 13:40 -0400 (Mon, 13 Oct 2025)
git_url: https://git.bioconductor.org/packages/adverSCarial
git_branch: RELEASE_3_21
git_last_commit: c0198fd
git_last_commit_date: 2025-04-15 13:16:50 -0400 (Tue, 15 Apr 2025)
nebbiolo1Linux (Ubuntu 24.04.3 LTS) / x86_64  OK    OK    WARNINGS  UNNEEDED, same version is already published
merida1macOS 12.7.6 Monterey / x86_64  OK    OK    WARNINGS    OK  UNNEEDED, same version is already published
kjohnson1macOS 13.7.5 Ventura / arm64  OK    OK    WARNINGS    OK  UNNEEDED, same version is already published
kunpeng2Linux (openEuler 24.03 LTS) / aarch64  OK    OK    WARNINGS  


CHECK results for adverSCarial on kunpeng2

To the developers/maintainers of the adverSCarial package:
- Allow up to 24 hours (and sometimes 48 hours) for your latest push to git@git.bioconductor.org:packages/adverSCarial.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.

raw results


Summary

Package: adverSCarial
Version: 1.6.0
Command: /home/biocbuild/R/R/bin/R CMD check --install=check:adverSCarial.install-out.txt --library=/home/biocbuild/R/R/site-library --no-vignettes --timings adverSCarial_1.6.0.tar.gz
StartedAt: 2025-10-14 06:02:33 -0000 (Tue, 14 Oct 2025)
EndedAt: 2025-10-14 06:05:09 -0000 (Tue, 14 Oct 2025)
EllapsedTime: 155.3 seconds
RetCode: 0
Status:   WARNINGS  
CheckDir: adverSCarial.Rcheck
Warnings: 2

Command output

##############################################################################
##############################################################################
###
### Running command:
###
###   /home/biocbuild/R/R/bin/R CMD check --install=check:adverSCarial.install-out.txt --library=/home/biocbuild/R/R/site-library --no-vignettes --timings adverSCarial_1.6.0.tar.gz
###
##############################################################################
##############################################################################


* using log directory ‘/home/biocbuild/bbs-3.21-bioc/meat/adverSCarial.Rcheck’
* using R Under development (unstable) (2025-02-19 r87757)
* 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-SP1)
* using session charset: UTF-8
* using option ‘--no-vignettes’
* checking for file ‘adverSCarial/DESCRIPTION’ ... OK
* this is package ‘adverSCarial’ version ‘1.6.0’
* 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 ... NOTE
Found the following hidden files and directories:
  vignettes/.RData
These were most likely included in error. See section ‘Package
structure’ in the ‘Writing R Extensions’ manual.
* checking for portable file names ... OK
* checking for sufficient/correct file permissions ... OK
* checking whether package ‘adverSCarial’ 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 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 ... NOTE
.advModificationsFunction: no visible global function definition for
  ‘is’
.advModificationsFunction : <anonymous>: no visible global function
  definition for ‘is’
.advModificationsNotFunction: no visible global function definition for
  ‘is’
.advModificationsNotFunction: no visible global function definition for
  ‘counts’
.advModificationsNotFunction : <anonymous>: no visible global function
  definition for ‘is’
.randWalkGetSeed: no visible global function definition for
  ‘SingleCellExperiment’
.randWalkGetSeed: no visible global function definition for ‘is’
.randWalkTryNewVector: no visible global function definition for
  ‘SingleCellExperiment’
.randWalkTryNewVector: no visible global function definition for ‘is’
MClassifier: no visible global function definition for ‘is’
MClassifier: no visible global function definition for ‘counts’
advChar: no visible global function definition for ‘new’
advGridMinChange: no visible global function definition for ‘is’
advGridMinChange: no visible global function definition for ‘counts’
advGridMinChange: no visible global function definition for
  ‘SingleCellExperiment’
advList: no visible global function definition for ‘new’
advMaxChange: no visible global function definition for ‘is’
advMaxChange: no visible global function definition for ‘counts’
advMaxChange: no visible global function definition for ‘new’
advModifications: no visible global function definition for ‘is’
advModifications: no visible global function definition for ‘counts’
advModifications: no visible global function definition for
  ‘SingleCellExperiment’
advRandWalkMinChange: no visible global function definition for ‘is’
advRandWalkMinChange: no visible global function definition for
  ‘counts’
advSingleGene: no visible global function definition for ‘is’
advSingleGene: no visible global function definition for ‘counts’
advSingleGene: no visible binding for '<<-' assignment to
  ‘lastResLength’
advSingleGene : <anonymous>: no visible binding for global variable
  ‘lastResLength’
advSingleGene : <anonymous>: no visible binding for '<<-' assignment to
  ‘lastResLength’
advSingleGene: no visible global function definition for ‘new’
getDistantCouples: no visible global function definition for ‘combn’
getSignGenes : <anonymous>: no visible global function definition for
  ‘wilcox.test’
getSignGenes : <anonymous>: no visible global function definition for
  ‘t.test’
matrixFromSCE: no visible global function definition for ‘is’
matrixFromSCE: no visible global function definition for ‘colData’
maxChangeOverview: no visible global function definition for ‘is’
maxChangeOverview: no visible global function definition for ‘counts’
predictWithNewValue: no visible global function definition for ‘is’
sceConvertToHGNC: no visible global function definition for ‘is’
sceConvertToHGNC: no visible global function definition for
  ‘SingleCellExperiment’
sceConvertToHGNC: no visible global function definition for ‘colData’
singleGeneOverview: no visible global function definition for ‘is’
singleGeneOverview: no visible global function definition for ‘counts’
Undefined global functions or variables:
  SingleCellExperiment colData combn counts is lastResLength new t.test
  wilcox.test
Consider adding
  importFrom("methods", "is", "new")
  importFrom("stats", "t.test", "wilcox.test")
  importFrom("utils", "combn")
to your NAMESPACE file (and ensure that your DESCRIPTION Imports field
contains 'methods').
* checking Rd files ... NOTE
checkRd: (-1) advCGD.Rd:31-34: Lost braces
    31 | classifier = function(expr, clusters, target){
       |                                              ^
checkRd: (-1) advGridMinChange.Rd:34-37: Lost braces
    34 | classifier = function(expr, clusters, target){
       |                                              ^
checkRd: (-1) advMaxChange.Rd:39-42: Lost braces
    39 | classifier = function(expr, clusters, target){
       |                                              ^
checkRd: (-1) advRandWalkMinChange.Rd:36-39: Lost braces
    36 | classifier = function(expr, clusters, target){
       |                                              ^
checkRd: (-1) advSingleGene.Rd:43-46: Lost braces
    43 | classifier = function(expr, clusters, target){
       |                                              ^
checkRd: (-1) maxChangeOverview.Rd:35-38: Lost braces
    35 | classifier = function(expr, clusters, target){
       |                                              ^
checkRd: (-1) predictWithNewValue.Rd:36-39: Lost braces
    36 | classifier = function(expr, clusters, target){
       |                                              ^
checkRd: (-1) singleGeneOverview.Rd:37-40: Lost braces
    37 | classifier = function(expr, clusters, target){
       |                                              ^
* checking Rd metadata ... OK
* checking Rd cross-references ... OK
* checking for missing documentation entries ... WARNING
Undocumented code objects:
  ‘advTraining’
All user-level objects in a package should have documentation entries.
See chapter ‘Writing R documentation files’ in the ‘Writing R
Extensions’ manual.
* checking for code/documentation mismatches ... OK
* checking Rd \usage sections ... WARNING
Undocumented arguments in Rd file 'advMaxChange.Rd'
  ‘slot’

Undocumented arguments in Rd file 'advModifications.Rd'
  ‘slot’

Undocumented arguments in Rd file 'advSingleGene.Rd'
  ‘slot’

Undocumented arguments in Rd file 'predictWithNewValue.Rd'
  ‘slot’

Functions with \usage entries need to have the appropriate \alias
entries, and all their arguments documented.
The \usage entries must correspond to syntactically valid R code.
See chapter ‘Writing R documentation files’ in the ‘Writing R
Extensions’ manual.
* checking Rd contents ... OK
* checking for unstated dependencies in examples ... OK
* checking files in ‘vignettes’ ... NOTE
The following directory looks like a leftover from 'knitr':
  ‘figure’
Please remove from your package.
* checking examples ... OK
Examples with CPU (user + system) or elapsed time > 5s
                   user system elapsed
MClassifier      27.444  2.036  40.502
advChar          12.274  0.490  13.807
matrixFromSCE     9.997  1.171  17.903
sceConvertToHGNC  9.398  1.038  17.574
* checking for unstated dependencies in ‘tests’ ... OK
* checking tests ...
  Running ‘runTests.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 WARNINGs, 4 NOTEs
See
  ‘/home/biocbuild/bbs-3.21-bioc/meat/adverSCarial.Rcheck/00check.log’
for details.


Installation output

adverSCarial.Rcheck/00install.out

##############################################################################
##############################################################################
###
### Running command:
###
###   /home/biocbuild/R/R/bin/R CMD INSTALL adverSCarial
###
##############################################################################
##############################################################################


* installing to library ‘/home/biocbuild/R/R-devel_2025-02-19/site-library’
* installing *source* package ‘adverSCarial’ ...
** this is package ‘adverSCarial’ version ‘1.6.0’
** 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 (adverSCarial)

Tests output

adverSCarial.Rcheck/tests/runTests.Rout


R Under development (unstable) (2025-02-19 r87757) -- "Unsuffered Consequences"
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("adverSCarial")
Running combination: 1 on 3
Running combination: 2 on 3
Running combination: 3 on 3
predictWithNewValue data.frame data.frame
predictWithNewValue data.frame data.frame
predictWithNewValue data.frame data.frame
predictWithNewValue data.frame data.frame
result length: 3
Running first batch to determine walk seed: 1 on 3
Running first batch to determine walk seed: 2 on 3
Running first batch to determine walk seed: 3 on 3
No modified type, try with a higher firstBatch argument
predictWithNewValue data.frame data.frame
Split number: 1/100
predictWithNewValue data.frame data.frame
cellType: b
classifTarget: b
target: b
Split number: 2/100
predictWithNewValue data.frame data.frame
cellType: b
classifTarget: b
target: b
predictWithNewValue data.frame data.frame
cellType: b
classifTarget: b
target: b
Split number: 4/100
Split time: 0.000192165374755859
Split number: 8/100
Split time: 0.000178098678588867
Split number: 16/100
Split time: 0.00016021728515625
Split number: 32/100
Split time: 0.000172138214111328
Split number: 64/100
Split time: 0.0001678466796875
Split number: 100/100
Split time: 0.00016474723815918
predictWithNewValue data.frame data.frame
predictWithNewValue data.frame data.frame
predictWithNewValue data.frame data.frame
predictWithNewValue data.frame data.frame
result length: 3
predictWithNewValue data.frame data.frame
predictWithNewValue data.frame data.frame
predictWithNewValue data.frame data.frame
predictWithNewValue data.frame data.frame
result length: 3
predictWithNewValue data.frame data.frame
predictWithNewValue data.frame data.frame
predictWithNewValue data.frame data.frame
predictWithNewValue data.frame data.frame
result length: 3
predictWithNewValue data.frame data.frame
predictWithNewValue data.frame data.frame
predictWithNewValue data.frame data.frame
predictWithNewValue data.frame data.frame
result length: 3
predictWithNewValue data.frame data.frame
predictWithNewValue data.frame data.frame
Split number: 1/100
predictWithNewValue data.frame data.frame
cellType: b
classifTarget: b
target: b
Split number: 2/100
predictWithNewValue data.frame data.frame
cellType: b
classifTarget: b
target: b
predictWithNewValue data.frame data.frame
cellType: b
classifTarget: b
target: b
Split number: 4/100
Split time: 0.000165224075317383
Split number: 8/100
Split time: 0.000158071517944336
Split number: 16/100
Split time: 0.000151157379150391
Split number: 32/100
Split time: 0.000159978866577148
Split number: 64/100
Split time: 0.000161886215209961
Split number: 100/100
Split time: 0.000187397003173828
predictWithNewValue data.frame data.frame
Split number: 1/100
predictWithNewValue data.frame data.frame
cellType: b
classifTarget: b
target: t
Split number: 2/100
predictWithNewValue data.frame data.frame
cellType: b
classifTarget: b
target: t
predictWithNewValue data.frame data.frame
cellType: b
classifTarget: b
target: t
Split number: 4/100
Split time: 0.00016331672668457
Split number: 8/100
Split time: 0.000178813934326172
Split number: 16/100
Split time: 0.000152826309204102
Split number: 32/100
Split time: 0.000161886215209961
Split number: 64/100
Split time: 0.000157356262207031
Split number: 100/100
Split time: 0.000160932540893555
predictWithNewValue data.frame data.frame
Split number: 1/100
predictWithNewValue data.frame data.frame
cellType: b
classifTarget: b
target: b
Split number: 2/100
predictWithNewValue data.frame data.frame
cellType: b
classifTarget: b
target: b
predictWithNewValue data.frame data.frame
cellType: b
classifTarget: b
target: b
Split number: 4/100
Split time: 0.000165224075317383
Split number: 8/100
Split time: 0.000156641006469727
Split number: 16/100
Split time: 0.000154972076416016
Split number: 32/100
Split time: 0.000184059143066406
Split number: 64/100
Split time: 0.000160694122314453
Split number: 100/100
Split time: 0.000164508819580078
predictWithNewValue data.frame data.frame
Split number: 1/100
predictWithNewValue data.frame data.frame
cellType: b
classifTarget: b
target: t
Split number: 2/100
predictWithNewValue data.frame data.frame
cellType: b
classifTarget: b
target: t
predictWithNewValue data.frame data.frame
cellType: b
classifTarget: b
target: t
Split number: 4/100
Split time: 0.000168085098266602
Split number: 8/100
Split time: 0.000153064727783203
Split number: 16/100
Split time: 0.000153064727783203
Split number: 32/100
Split time: 0.000157356262207031
Split number: 64/100
Split time: 0.000160455703735352
Split number: 100/100
Split time: 0.000169754028320312


RUNIT TEST PROTOCOL -- Tue Oct 14 06:05:03 2025 
*********************************************** 
Number of test functions: 8 
Number of errors: 0 
Number of failures: 0 

 
1 Test Suite : 
adverSCarial RUnit Tests - 8 test functions, 0 errors, 0 failures
Number of test functions: 8 
Number of errors: 0 
Number of failures: 0 
> 
> proc.time()
   user  system elapsed 
  6.795   0.175   7.835 

Example timings

adverSCarial.Rcheck/adverSCarial-Ex.timings

nameusersystemelapsed
MClassifier27.444 2.03640.502
advCGD0.0360.0000.036
advChar12.274 0.49013.807
advGridMinChange0.4640.0230.493
advList0.0130.0040.017
advMaxChange0.2140.0080.224
advModifications0.2290.0120.243
advRandWalkMinChange0.5430.0040.557
advSingleGene0.2140.0040.219
getSignGenes0.0090.0000.009
matrixFromSCE 9.997 1.17117.903
maxChangeOverview0.2930.0120.306
predictWithNewValue0.2140.0160.230
sceConvertToHGNC 9.398 1.03817.574
singleGeneOverview0.3400.0000.342