| Back to Multiple platform build/check report for BioC 3.17: simplified long | 
  | 
This page was generated on 2023-10-16 11:36:36 -0400 (Mon, 16 Oct 2023).
| Hostname | OS | Arch (*) | R version | Installed pkgs | 
|---|---|---|---|---|
| nebbiolo1 | Linux (Ubuntu 22.04.2 LTS) | x86_64 | 4.3.1 (2023-06-16) -- "Beagle Scouts" | 4626 | 
| palomino3 | Windows Server 2022 Datacenter | x64 | 4.3.1 (2023-06-16 ucrt) -- "Beagle Scouts" | 4379 | 
| merida1 | macOS 12.6.4 Monterey | x86_64 | 4.3.1 (2023-06-16) -- "Beagle Scouts" | 4395 | 
| 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 1820/2230 | Hostname | OS / Arch | INSTALL | BUILD | CHECK | BUILD BIN | ||||||||
| SCArray.sat 1.0.3  (landing page) Xiuwen Zheng 
  | nebbiolo1 | Linux (Ubuntu 22.04.2 LTS) / x86_64 | OK | OK | OK | |||||||||
| palomino3 | Windows Server 2022 Datacenter / x64 | OK | OK | OK | OK | |||||||||
| merida1 | macOS 12.6.4 Monterey / x86_64 | OK | OK | OK | OK | |||||||||
| kjohnson2 | macOS 12.6.1 Monterey / arm64 | see weekly results here | ||||||||||||
| 
To the developers/maintainers of the SCArray.sat package: - Allow up to 24 hours (and sometimes 48 hours) for your latest push to git@git.bioconductor.org:packages/SCArray.sat.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: SCArray.sat | 
| Version: 1.0.3 | 
| Command: F:\biocbuild\bbs-3.17-bioc\R\bin\R.exe CMD check --no-multiarch --install=check:SCArray.sat.install-out.txt --library=F:\biocbuild\bbs-3.17-bioc\R\library --no-vignettes --timings SCArray.sat_1.0.3.tar.gz | 
| StartedAt: 2023-10-16 06:24:32 -0400 (Mon, 16 Oct 2023) | 
| EndedAt: 2023-10-16 06:28:53 -0400 (Mon, 16 Oct 2023) | 
| EllapsedTime: 261.0 seconds | 
| RetCode: 0 | 
| Status: OK | 
| CheckDir: SCArray.sat.Rcheck | 
| Warnings: 0 | 
##############################################################################
##############################################################################
###
### Running command:
###
###   F:\biocbuild\bbs-3.17-bioc\R\bin\R.exe CMD check --no-multiarch --install=check:SCArray.sat.install-out.txt --library=F:\biocbuild\bbs-3.17-bioc\R\library --no-vignettes --timings SCArray.sat_1.0.3.tar.gz
###
##############################################################################
##############################################################################
* using log directory 'F:/biocbuild/bbs-3.17-bioc/meat/SCArray.sat.Rcheck'
* using R version 4.3.1 (2023-06-16 ucrt)
* using platform: x86_64-w64-mingw32 (64-bit)
* R was compiled by
    gcc.exe (GCC) 12.2.0
    GNU Fortran (GCC) 12.2.0
* running under: Windows Server 2022 x64 (build 20348)
* using session charset: UTF-8
* using option '--no-vignettes'
* checking for file 'SCArray.sat/DESCRIPTION' ... OK
* checking extension type ... Package
* this is package 'SCArray.sat' version '1.0.3'
* 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 whether package 'SCArray.sat' 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 R 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
Unexported objects imported by ':::' calls:
  'Seurat:::DEmethods_counts' 'Seurat:::DEmethods_nocorrect'
  'Seurat:::FastExpMean' 'Seurat:::FastLogVMR' 'Seurat:::NBResiduals'
  'Seurat:::UpdateKey' 'Seurat:::ValidateDataForMerge'
  See the note in ?`:::` about the use of this operator.
* checking S3 generic/method consistency ... OK
* checking replacement functions ... OK
* checking foreign function calls ... OK
* checking R code for possible problems ... OK
* 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
* checking for unstated dependencies in 'tests' ... OK
* checking tests ...
  Running 'runTests.R'
 OK
* checking for unstated dependencies in vignettes ... OK
* checking package vignettes in 'inst/doc' ... OK
* checking running R code from vignettes ... SKIPPED
* checking re-building of vignette outputs ... SKIPPED
* checking PDF version of manual ... OK
* DONE
Status: 1 NOTE
See
  'F:/biocbuild/bbs-3.17-bioc/meat/SCArray.sat.Rcheck/00check.log'
for details.
SCArray.sat.Rcheck/00install.out
############################################################################## ############################################################################## ### ### Running command: ### ### F:\biocbuild\bbs-3.17-bioc\R\bin\R.exe CMD INSTALL SCArray.sat ### ############################################################################## ############################################################################## * installing to library 'F:/biocbuild/bbs-3.17-bioc/R/library' * installing *source* package 'SCArray.sat' ... ** 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 (SCArray.sat)
SCArray.sat.Rcheck/tests/runTests.Rout
R version 4.3.1 (2023-06-16 ucrt) -- "Beagle Scouts"
Copyright (C) 2023 The R Foundation for Statistical Computing
Platform: x86_64-w64-mingw32/x64 (64-bit)
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("SCArray.sat")
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, intersect, is.unsorted,
    lapply, mapply, match, mget, order, paste, pmax, pmax.int, pmin,
    pmin.int, rank, rbind, rownames, sapply, setdiff, sort, table,
    tapply, union, unique, unsplit, which.max, which.min
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
Attaching package: 'S4Vectors'
The following objects are masked from 'package:Matrix':
    expand, unname
The following object is masked from 'package:utils':
    findMatches
The following objects are masked from 'package:base':
    I, expand.grid, unname
Attaching package: 'IRanges'
The following object is masked from 'package:grDevices':
    windows
Attaching package: 'S4Arrays'
The following object is masked from 'package:abind':
    abind
The following object is masked from 'package:base':
    rowsum
Attaching package: 'DelayedArray'
The following objects are masked from 'package:base':
    apply, scale, sweep
The legacy packages maptools, rgdal, and rgeos, underpinning the sp package,
which was just loaded, were retired in October 2023.
Please refer to R-spatial evolution reports for details, especially
https://r-spatial.org/r/2023/05/15/evolution4.html.
It may be desirable to make the sf package available;
package maintainers should consider adding sf to Suggests:.
Attaching package: 'sp'
The following object is masked from 'package:IRanges':
    %over%
Calling scNewAssayGDS() ...
Input: F:/biocbuild/bbs-3.17-bioc/R/library/SCArray/extdata/example.gds
    counts: 1000 x 850
Calling SCArray:::x_colSums() with SC_GDSMatrix [1000x850] ...
  |                                                                      
  |                                                                |   0%
  |                                                                      
  |================================================================| 100%
Calling SCArray:::x_colSums() with SC_GDSMatrix [1000x850] ...
  |                                                                      
  |                                                                |   0%
  |                                                                      
  |================================================================| 100%
Calling NormalizeData.SC_GDSMatrix() ...
Normalizing across features (CLR)
Calling SCArray:::x_rowSums() with SC_GDSMatrix [1000x850] ...
  |                                                                      
  |                                                                |   0%
  |                                                                      
  |================================================================| 100%
Normalizing across features
Calling NormalizeData.SC_GDSMatrix() ...
Normalizing across cells (CLR)
Calling SCArray:::x_colSums() with SC_GDSMatrix [1000x850] ...
  |                                                                      
  |                                                                |   0%
  |                                                                      
  |================================================================| 100%
Normalizing across cells
Calling NormalizeData.SC_GDSMatrix() ...
Performing relative-counts-normalization
Calling SCArray:::x_colSums() with SC_GDSMatrix [1000x850] ...
  |                                                                      
  |                                                                |   0%
  |                                                                      
  |================================================================| 100%
Performing relative-counts-normalization
Calling NormalizeData.SC_GDSMatrix() ...
Performing log-normalization
Calling SCArray:::x_colSums() with SC_GDSMatrix [1000x850] ...
  |                                                                      
  |                                                                |   0%
  |                                                                      
  |================================================================| 100%
Performing log-normalization
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Calling FindVariableFeatures.SC_GDSMatrix() ...
  |                                                                      
  |                                                                |   0%
  |                                                                      
  |================================================================| 100%
Calculating gene means
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Calculating gene variance to mean ratios
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Calling FindVariableFeatures.SC_GDSMatrix() ...
  |                                                                      
  |                                                                |   0%
  |                                                                      
  |================================================================| 100%
Calculating gene means
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Calculating gene variance to mean ratios
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Calling FindVariableFeatures.SC_GDSMatrix() ...
Calculating gene variances
Calling SCArray::scRowMeanVar() with SC_GDSMatrix [1000x850] ...
  |                                                                      
  |                                                                |   0%
  |                                                                      
  |================================================================| 100%
Calculating feature variances of standardized and clipped values
  |                                                                      
  |                                                                |   0%
  |                                                                      
  |================================================================| 100%
Calculating gene variances
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Calculating feature variances of standardized and clipped values
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Calling ScaleData.SC_GDSMatrix() with SC_GDSMatrix [1000x850] ...
Regressing out: x1, x2
Writing to '_temp_scale_data.gds'
Calling SCArray::row_nnzero() with SC_GDSMatrix [500x850] ...
  |                                                                      
  |                                                                |   0%
  |                                                                      
  |================================================================| 100%
  |                                                                      
  |                                                                |   0%
  |                                                                      
  |================================================================| 100%
Centering and scaling data matrix (SC_GDSMatrix [500x850])
Writing to '_scale_data.gds'
Calling SCArray::scRowMeanVar() with transposed SC_GDSMatrix [500x850] ...
  |                                                                      
  |                                                                |   0%
  |                                                                      
  |================================================================| 100%
  |                                                                      
  |                                                                |   0%
  |                                                                      
  |================================================================| 100%
Delete '_temp_scale_data.gds'
Regressing out x1, x2
  |                                                                            
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Centering and scaling data matrix
  |                                                                            
  |                                                                      |   0%
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  |======================================================================| 100%
Calling ScaleData.SC_GDSMatrix() with SC_GDSMatrix [1000x850] ...
Centering and scaling data matrix (SC_GDSMatrix [500x850])
Writing to '_scale_data2.gds'
Data split (SC_GDSMatrix [500,425]): FALSE
Calling SCArray::scRowMeanVar() with SC_GDSMatrix [500x425] ...
  |                                                                      
  |                                                                |   0%
  |                                                                      
  |================================================================| 100%
  |                                                                      
  |                                                                |   0%
  |                                                                      
  |================================================================| 100%
Data split (SC_GDSMatrix [500,425]): TRUE
Calling SCArray::scRowMeanVar() with SC_GDSMatrix [500x425] ...
  |                                                                      
  |                                                                |   0%
  |                                                                      
  |================================================================| 100%
  |                                                                      
  |                                                                |   0%
  |                                                                      
  |================================================================| 100%
Centering and scaling data matrix
Centering and scaling data from split FALSE
  |                                                                            
  |                                                                      |   0%
  |                                                                            
  |======================================================================| 100%
Centering and scaling data from split TRUE
  |                                                                            
  |                                                                      |   0%
  |                                                                            
  |======================================================================| 100%
Calling ScaleData.SC_GDSMatrix() with SC_GDSMatrix [1000x850] ...
Centering and scaling data matrix (SC_GDSMatrix [500x850])
Calling SCArray::scRowMeanVar() with SC_GDSMatrix [500x850] ...
  |                                                                      
  |                                                                |   0%
  |                                                                      
  |================================================================| 100%
Centering and scaling data matrix
  |                                                                            
  |                                                                      |   0%
  |                                                                            
  |======================================================================| 100%
Calling RunPCA.SCArrayAssay() ...
Calling RunPCA.SC_GDSMatrix() with SC_GDSMatrix [500x850] ...
Calling SCArray:::x_rowVars() with SC_GDSMatrix [500x850] ...
  |                                                                      
  |                                                                |   0%
  |                                                                      
  |================================================================| 100%
Calling SCArray:::x_crossprod_x() with transposed SC_GDSMatrix [850x500] ...
  |                                                                      
  |                                                                |   0%
  |                                                                      
  |================================================================| 100%
Calling SCArray:::x_multiply_x_yANY() with transposed SC_GDSMatrix [850x500] ...
RUNIT TEST PROTOCOL -- Mon Oct 16 06:28:44 2023 
*********************************************** 
Number of test functions: 1 
Number of errors: 0 
Number of failures: 0 
 
1 Test Suite : 
SCArray.sat RUnit Tests - 1 test function, 0 errors, 0 failures
Number of test functions: 1 
Number of errors: 0 
Number of failures: 0 
> 
> proc.time()
   user  system elapsed 
  24.67    1.51   26.20 
SCArray.sat.Rcheck/SCArray.sat-Ex.timings
| name | user | system | elapsed | |
| CreateAssayObject2 | 0.08 | 0.02 | 0.09 | |
| NormalizeData | 1.63 | 0.05 | 1.68 | |
| RunPCA | 1.87 | 0.17 | 2.07 | |
| ScaleData | 2.03 | 0.08 | 2.13 | |
| scGetFiles | 0.35 | 0.01 | 0.36 | |
| scMemory | 0.84 | 0.02 | 0.86 | |
| scNewAssayGDS | 1.08 | 0.00 | 1.08 | |
| scNewSeuratGDS | 0.34 | 0.01 | 0.35 | |