##############################################################################
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###
### Running command:
###
###   C:\Users\biocbuild\bbs-3.20-bioc\R\bin\R.exe CMD check --no-multiarch --install=check:epiregulon.install-out.txt --library=C:\Users\biocbuild\bbs-3.20-bioc\R\library --no-vignettes --timings epiregulon_1.1.2.tar.gz
###
##############################################################################
##############################################################################


* using log directory 'C:/Users/biocbuild/bbs-3.20-bioc/meat/epiregulon.Rcheck'
* using R version 4.4.1 (2024-06-14 ucrt)
* using platform: x86_64-w64-mingw32
* R was compiled by
    gcc.exe (GCC) 13.2.0
    GNU Fortran (GCC) 13.2.0
* running under: Windows Server 2022 x64 (build 20348)
* using session charset: UTF-8
* using option '--no-vignettes'
* checking for file 'epiregulon/DESCRIPTION' ... OK
* this is package 'epiregulon' version '1.1.2'
* 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 whether package 'epiregulon' can be installed ... OK
* used C compiler: 'gcc.exe (GCC) 13.2.0'
* used C++ compiler: 'G__~1.EXE (GCC) 13.2.0'
* checking installed package size ... OK
* checking package directory ... OK
* checking 'build' directory ... OK
* checking DESCRIPTION meta-information ... NOTE
License stub is invalid DCF.
* 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 ... OK
* 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 line endings in C/C++/Fortran sources/headers ... OK
* checking compiled code ... NOTE
Note: information on .o files for x64 is not available
File 'C:/Users/biocbuild/bbs-3.20-bioc/R/library/epiregulon/libs/x64/epiregulon.dll':
  Found '_exit', possibly from '_exit' (C)
  Found 'abort', possibly from 'abort' (C), 'runtime' (Fortran)
  Found 'exit', possibly from 'exit' (C), 'stop' (Fortran)

Compiled code should not call entry points which might terminate R nor
write to stdout/stderr instead of to the console, nor use Fortran I/O
nor system RNGs nor [v]sprintf. The detected symbols are linked into
the code but might come from libraries and not actually be called.

See 'Writing portable packages' in the 'Writing R Extensions' manual.
* checking files in 'vignettes' ... OK
* checking examples ... OK
Examples with CPU (user + system) or elapsed time > 5s
                user system elapsed
addMotifScore  31.08   3.50   59.84
getTFMotifInfo 18.34   0.59   19.06
addWeights      4.95   0.28    5.51
* 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
  'C:/Users/biocbuild/bbs-3.20-bioc/meat/epiregulon.Rcheck/00check.log'
for details.

##############################################################################
##############################################################################
###
### Running command:
###
###   C:\Users\biocbuild\bbs-3.20-bioc\R\bin\R.exe CMD INSTALL epiregulon
###
##############################################################################
##############################################################################


* installing to library 'C:/Users/biocbuild/bbs-3.20-bioc/R/library'
* installing *source* package 'epiregulon' ...
** using staged installation
** libs
using C compiler: 'gcc.exe (GCC) 13.2.0'
using C++ compiler: 'G__~1.EXE (GCC) 13.2.0'
g++ -std=gnu++17  -I"C:/Users/biocbuild/bbs-3.20-bioc/R/include" -DNDEBUG  -I'C:/Users/biocbuild/bbs-3.20-bioc/R/library/Rcpp/include' -I'C:/Users/biocbuild/bbs-3.20-bioc/R/library/beachmat/include'   -I"C:/rtools44/x86_64-w64-mingw32.static.posix/include"     -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign  -c RcppExports.cpp -o RcppExports.o
g++ -std=gnu++17  -I"C:/Users/biocbuild/bbs-3.20-bioc/R/include" -DNDEBUG  -I'C:/Users/biocbuild/bbs-3.20-bioc/R/library/Rcpp/include' -I'C:/Users/biocbuild/bbs-3.20-bioc/R/library/beachmat/include'   -I"C:/rtools44/x86_64-w64-mingw32.static.posix/include"     -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign  -c aggregate_across_cells.cpp -o aggregate_across_cells.o
aggregate_across_cells.cpp: In function 'SEXPREC* aggregate_across_cells(SEXP, Rcpp::List, int)':
aggregate_across_cells.cpp:19:26: warning: comparison of integer expressions of different signedness: 'R_xlen_t' {aka 'long long int'} and 'size_t' {aka 'long long unsigned int'} [-Wsign-compare]
   19 |     if (groups[g].size() != NC) {
      |         ~~~~~~~~~~~~~~~~~^~~~~
In file included from aggregate_across_cells.cpp:2:
AggregateAcrossCells.h: In instantiation of 'void scran::AggregateAcrossCells::compute_row(Index_, Index_, const Contents_&, const Factor_*, std::vector<IndexIn_>&, std::vector<Sum_*>&, std::vector<Detected_>&, std::vector<Detected_*>&) [with bool sparse_ = true; Index_ = int; Contents_ = tatami::SparseRange<double, int>; Factor_ = int; Sum_ = double; Detected_ = int]':
AggregateAcrossCells.h:150:30:   required from 'void scran::AggregateAcrossCells::compute(const tatami::Matrix<Value_, Index_>*, const Factor_*, std::vector<Detected_*>&, std::vector<Detected_*>&) [with bool row_ = true; bool sparse_ = true; Data_ = double; Index_ = int; Factor_ = int; Sum_ = double; Detected_ = int]'
AggregateAcrossCells.h:210:28:   required from 'void scran::AggregateAcrossCells::run(const tatami::Matrix<Value_, Index_>*, const Factor*, std::vector<Sum*>, std::vector<Sum_*>) [with Data = double; Index = int; Factor = int; Sum = double; Detected = int]'
aggregate_across_cells.cpp:52:13:   required from here
AggregateAcrossCells.h:109:28: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<double>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  109 |       for (Index_ l = 0; l < tmp_sums.size(); ++l) {
      |                          ~~^~~~~~~~~~~~~~~~~
AggregateAcrossCells.h:127:28: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  127 |       for (Index_ l = 0; l < tmp_detected.size(); ++l) {
      |                          ~~^~~~~~~~~~~~~~~~~~~~~
AggregateAcrossCells.h: In instantiation of 'void scran::AggregateAcrossCells::compute_row(Index_, Index_, const Contents_&, const Factor_*, std::vector<IndexIn_>&, std::vector<Sum_*>&, std::vector<Detected_>&, std::vector<Detected_*>&) [with bool sparse_ = false; Index_ = int; Contents_ = const double*; Factor_ = int; Sum_ = double; Detected_ = int]':
AggregateAcrossCells.h:152:31:   required from 'void scran::AggregateAcrossCells::compute(const tatami::Matrix<Value_, Index_>*, const Factor_*, std::vector<Detected_*>&, std::vector<Detected_*>&) [with bool row_ = true; bool sparse_ = false; Data_ = double; Index_ = int; Factor_ = int; Sum_ = double; Detected_ = int]'
AggregateAcrossCells.h:212:29:   required from 'void scran::AggregateAcrossCells::run(const tatami::Matrix<Value_, Index_>*, const Factor*, std::vector<Sum*>, std::vector<Sum_*>) [with Data = double; Index = int; Factor = int; Sum = double; Detected = int]'
aggregate_across_cells.cpp:52:13:   required from here
AggregateAcrossCells.h:109:28: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<double>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  109 |       for (Index_ l = 0; l < tmp_sums.size(); ++l) {
      |                          ~~^~~~~~~~~~~~~~~~~
AggregateAcrossCells.h:127:28: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  127 |       for (Index_ l = 0; l < tmp_detected.size(); ++l) {
      |                          ~~^~~~~~~~~~~~~~~~~~~~~
gcc  -I"C:/Users/biocbuild/bbs-3.20-bioc/R/include" -DNDEBUG  -I'C:/Users/biocbuild/bbs-3.20-bioc/R/library/Rcpp/include' -I'C:/Users/biocbuild/bbs-3.20-bioc/R/library/beachmat/include'   -I"C:/rtools44/x86_64-w64-mingw32.static.posix/include"     -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign  -c binom.c -o binom.o
g++ -std=gnu++17  -I"C:/Users/biocbuild/bbs-3.20-bioc/R/include" -DNDEBUG  -I'C:/Users/biocbuild/bbs-3.20-bioc/R/library/Rcpp/include' -I'C:/Users/biocbuild/bbs-3.20-bioc/R/library/beachmat/include'   -I"C:/rtools44/x86_64-w64-mingw32.static.posix/include"     -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign  -c fast_chisq.cpp -o fast_chisq.o
fast_chisq.cpp: In function 'Rcpp::List fast_chisq(Rcpp::IntegerVector, Rcpp::IntegerVector, Rcpp::IntegerVector, Rcpp::IntegerVector, int, Rcpp::NumericVector, Rcpp::IntegerVector, Rcpp::IntegerVector, Rcpp::NumericMatrix, int, Rcpp::NumericVector, Rcpp::IntegerVector, Rcpp::IntegerVector, Rcpp::NumericMatrix, int, Rcpp::IntegerVector)':
fast_chisq.cpp:27:15: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'R_xlen_t' {aka 'long long int'} [-Wsign-compare]
   27 |     if (nrows != tf_by_peak.size()) {
      |         ~~~~~~^~~~~~~~~~~~~~~~~~~~
fast_chisq.cpp:30:15: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'R_xlen_t' {aka 'long long int'} [-Wsign-compare]
   30 |     if (nrows != target_by_peak.size()) {
      |         ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
fast_chisq.cpp:33:15: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'R_xlen_t' {aka 'long long int'} [-Wsign-compare]
   33 |     if (nrows != target_ordered.size()) {
      |         ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
g++ -std=gnu++17  -I"C:/Users/biocbuild/bbs-3.20-bioc/R/include" -DNDEBUG  -I'C:/Users/biocbuild/bbs-3.20-bioc/R/library/Rcpp/include' -I'C:/Users/biocbuild/bbs-3.20-bioc/R/library/beachmat/include'   -I"C:/rtools44/x86_64-w64-mingw32.static.posix/include"     -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign  -c fast_wilcox.cpp -o fast_wilcox.o
g++ -std=gnu++17 -shared -s -static-libgcc -o epiregulon.dll tmp.def RcppExports.o aggregate_across_cells.o binom.o fast_chisq.o fast_wilcox.o -LC:/rtools44/x86_64-w64-mingw32.static.posix/lib/x64 -LC:/rtools44/x86_64-w64-mingw32.static.posix/lib -LC:/Users/biocbuild/bbs-3.20-bioc/R/bin/x64 -lR
installing to C:/Users/biocbuild/bbs-3.20-bioc/R/library/00LOCK-epiregulon/00new/epiregulon/libs/x64
** 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 (epiregulon)

R version 4.4.1 (2024-06-14 ucrt) -- "Race for Your Life"
Copyright (C) 2024 The R Foundation for Statistical Computing
Platform: x86_64-w64-mingw32/x64

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/tests.html
> # * https://testthat.r-lib.org/reference/test_package.html#special-files
> 
> library(testthat)
> library(epiregulon)
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

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, table, tapply,
    union, 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

Attaching package: 'IRanges'

The following object is masked from 'package:grDevices':

    windows

Loading required package: GenomeInfoDb
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("epiregulon")
adding weights using wilcoxon...
adding weights using wilcoxon...
adding weights using wilcoxon...
adding weights using MI...
calculating average expression across clusters...
computing weights...

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adding weights using corr...
calculating average expression across clusters...
computing weights...

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calculating TF activity from regulon using weightedmean
aggregating regulons...
creating weight matrix...
calculating activity scores...
normalize by the number of targets...
calculating TF activity from regulon using weightedmean
aggregating regulons...
creating weight matrix...
calculating activity scores...
normalize by mean...
normalize by the number of targets...
calculating TF activity from regulon using weightedmean
aggregating regulons...
creating weight matrix...
calculating frequency...
calculating activity scores...
normalize by number of targets...
Using epiregulon to compute peak to gene links...
performing k means clustering to form metacells
Computing correlation
pruning network with binom tests using a regulon cutoff of pval<2
pruning regulons
binarizing matrices

  |                                                                            
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pruning network with chi.sq tests using a regulon cutoff of pval<2
pruning regulons
pruning network with binom tests using a regulon cutoff of pval<2
pruning regulons
binarizing matrices

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pruning network with chi.sq tests using a regulon cutoff of pval<2
pruning regulons
DataFrame with 4 rows and 6 columns
           tf      target   idxATAC                           pval
  <character> <character> <integer>                       <matrix>
1           A           B         1 1.0000000:1.00000000:1.0000000
2           A           B         2 0.0191648:0.03523071:1.0000000
3           A           C         3 0.7082253:0.82677153:0.2675027
4           C           B         4 0.0877076:0.00167859:0.0740225
                       stats                          qval
                    <matrix>                      <matrix>
1 0.000000:0.0000000:0.00000 1.0000000:1.00000000:1.000000
2 5.486415:4.4339583:0.00000 0.0766592:0.10569214:1.000000
3 0.140056:0.0478927:1.22951 1.0000000:1.00000000:0.802508
4 2.915952:9.8714953:3.19149 0.2631229:0.00671436:0.296090
pruning network with chi.sq tests using a regulon cutoff of pval<0.05
pruning regulons
DataFrame with 2 rows and 6 columns
           tf      target   idxATAC                           pval
  <character> <character> <integer>                       <matrix>
1           A           B         2 0.0191648:0.03523071:1.0000000
2           C           B         4 0.0877076:0.00167859:0.0740225
                    stats                         qval
                 <matrix>                     <matrix>
1 5.48642:4.43396:0.00000 0.0766592:0.10569214:1.00000
2 2.91595:9.87150:3.19149 0.2631229:0.00671436:0.29609
pruning network with binom tests using a regulon cutoff of pval<2
pruning regulons
binarizing matrices

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pruning network with chi.sq tests using a regulon cutoff of pval<2
pruning regulons
[ FAIL 0 | WARN 0 | SKIP 0 | PASS 45 ]
> 
> proc.time()
   user  system elapsed 
  32.14    1.90   34.34