Note: the module "R" cannot be unloaded because it was not loaded.

WARNING: ignoring environment value of R_HOME

R Under development (unstable) (2025-05-16 r88213) -- "Unsuffered Consequences"
Copyright (C) 2025 The R Foundation for Statistical Computing
Platform: x86_64-pc-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.

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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.
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> cargs <- commandArgs(trailingOnly=TRUE)
> if(length(cargs)==0){
+   ## before running interactively, make sure to start emacs/R with
+   ## environment defined in /scratch/...check_one.sh, particularly
+   ## R_LIBS_USER=/tmp/... otherwise we get error when installing
+   ## data.table.
+   base <- "/scratch/th798/data.table-revdeps/*"
+   cargs <- c(
+     Sys.glob(file.path(base,"deps.csv")),
+     "349",
+     Sys.glob(file.path(base, "data.table_release_*tar.gz")),
+     Sys.glob(file.path(base, "data.table_master_*tar.gz"))
+   )
+ }
> names(cargs) <- c("deps.csv", "task.str", "release", "master")
> dput(cargs)
c(deps.csv = "/scratch/th798/data.table-revdeps/2025-05-17/deps.csv", 
task.str = "847", release = "/scratch/th798/data.table-revdeps/2025-05-17/data.table_release_1.17.2.tar.gz", 
master = "/scratch/th798/data.table-revdeps/2025-05-17/data.table_master_1.17.99.c4ea09e099b1833fae0eacb50552bce6f051ed82.tar.gz"
)
> (task.dir <- dirname(.libPaths()[1]))#should be /tmp/th798/slurmid/R-vers
[1] "/tmp/th798/17291122/R-devel/847"
> if(requireNamespace("R.cache"))R.cache::getCachePath()
Loading required namespace: R.cache
[1] "/tmp/th798/17291122/R-devel/847/R.cache"
> task.id <- as.integer(cargs[["task.str"]])
> deps.df <- read.csv(cargs[["deps.csv"]])
> (rev.dep <- deps.df$Package[task.id])
[1] "mlr3learners"
> job.dir <- file.path(dirname(cargs[["deps.csv"]]), "tasks", task.id)
> setwd(task.dir)
> .libPaths()
[1] "/tmp/th798/17291122/R-devel/847/library"
[2] "/projects/genomic-ml/R/R-devel/library" 
> options(repos=c(#this should be in ~/.Rprofile too.
+   CRAN="http://cloud.r-project.org"))
> print(Sys.time())
[1] "2025-05-17 00:23:30 MST"
> install.time <- system.time({
+   install.packages(rev.dep, dep=TRUE)
+ })
Installing package into '/tmp/th798/17291122/R-devel/847/library'
(as 'lib' is unspecified)
also installing the dependencies 'mlr3', 'DiceKriging', 'rgenoud'

trying URL 'http://cloud.r-project.org/src/contrib/mlr3_0.23.0.tar.gz'
trying URL 'http://cloud.r-project.org/src/contrib/DiceKriging_1.6.0.tar.gz'
trying URL 'http://cloud.r-project.org/src/contrib/rgenoud_5.9-0.11.tar.gz'
trying URL 'http://cloud.r-project.org/src/contrib/mlr3learners_0.10.0.tar.gz'
* installing *source* package 'mlr3' ...
** this is package 'mlr3' version '0.23.0'
** package 'mlr3' successfully unpacked and MD5 sums checked
** using staged installation
** R
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
*** copying figures
** building package indices
** 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 (mlr3)
* installing *source* package 'DiceKriging' ...
** this is package 'DiceKriging' version '1.6.0'
** package 'DiceKriging' successfully unpacked and MD5 sums checked
** using staged installation
** libs
using C compiler: 'gcc (Spack GCC) 12.2.0'
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include    -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c CovFuns.c -o CovFuns.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include    -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c Scaling.c -o Scaling.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include    -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c init.c -o init.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o DiceKriging.so CovFuns.o Scaling.o init.o
installing to /tmp/th798/17291122/R-devel/847/library/00LOCK-DiceKriging/00new/DiceKriging/libs
** R
** inst
** byte-compile and prepare package for lazy loading
Note: ... may be used in an incorrect context 
** help
*** installing help indices
** building package indices
** testing if installed package can be loaded from temporary location
** checking absolute paths in shared objects and dynamic libraries
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (DiceKriging)
* installing *source* package 'rgenoud' ...
** this is package 'rgenoud' version '5.9-0.11'
** package 'rgenoud' successfully unpacked and MD5 sums checked
** using staged installation
** libs
using C compiler: 'gcc (Spack GCC) 12.2.0'
using C++ compiler: 'g++ (Spack GCC) 12.2.0'
/packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include    -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include   -c change_order.cpp -o change_order.o
/packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include    -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include   -c eval.cpp -o eval.o
/packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include    -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include   -c evaluate.cpp -o evaluate.o
/packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include    -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include   -c frange_ran.cpp -o frange_ran.o
/packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include    -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include   -c genoud.cpp -o genoud.o
/packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include    -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include   -c gradient.cpp -o gradient.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include    -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c init.c -o init.o
/packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include    -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include   -c math.cpp -o math.o
/packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include    -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include   -c multiply.cpp -o multiply.o
/packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include    -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include   -c numerics.cpp -o numerics.o
/packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include    -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include   -c operators.cpp -o operators.o
/packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include    -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include   -c print_format.cpp -o print_format.o
/packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include    -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include   -c rgenoud.cpp -o rgenoud.o
/packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o rgenoud.so change_order.o eval.o evaluate.o frange_ran.o genoud.o gradient.o init.o math.o multiply.o numerics.o operators.o print_format.o rgenoud.o
installing to /tmp/th798/17291122/R-devel/847/library/00LOCK-rgenoud/00new/rgenoud/libs
** 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
** checking absolute paths in shared objects and dynamic libraries
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (rgenoud)
* installing *source* package 'mlr3learners' ...
** this is package 'mlr3learners' version '0.10.0'
** package 'mlr3learners' successfully unpacked and MD5 sums checked
** using staged installation
** R
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
*** copying figures
** building package indices
** 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 (mlr3learners)

The downloaded source packages are in
	'/tmp/th798/17291122/Rtmp2kjRiX/downloaded_packages'
> cat("Time to install revdep:\n")
Time to install revdep:
> print(install.time)
   user  system elapsed 
 49.020   4.168 215.242 
> print(Sys.time())
[1] "2025-05-17 00:27:05 MST"
> downloaded_packages <- file.path(
+   tempdir(),
+   "downloaded_packages")
> dl.glob <- file.path(
+   downloaded_packages,
+   paste0(rev.dep,"_*.tar.gz"))
> rev.dep.dl.row <- cbind(rev.dep, Sys.glob(dl.glob))
> colnames(rev.dep.dl.row) <- c("pkg","path")
> rev.dep.release.tar.gz <- normalizePath(rev.dep.dl.row[,"path"], mustWork=TRUE)
> pkg.Rcheck <- paste0(rev.dep, ".Rcheck")
> 
> proj.dir <- "~/genomic-ml/data.table-revdeps"
> source(file.path(proj.dir, "myStatus.R"))
> Rvers <- gsub("[()]", "", gsub(" ", "_", R.version[["version.string"]]))
> dir.create(Rvers, showWarnings=FALSE)
> Rcheck.list <- list()
> for(dt.version.short in c("release", "master")){
+   dt.tar.gz <- cargs[[dt.version.short]]
+   dt.version <- gsub(".tar.gz|/.*?_", "", dt.tar.gz)
+   print(Sys.time())
+   install.packages(dt.tar.gz, repos=NULL)
+   print(Sys.time())
+   check.cmd <- get_check_cmd(rev.dep.release.tar.gz)
+   system(check.cmd)
+   print(Sys.time())
+   dest.Rcheck <- file.path(
+     Rvers,
+     paste0(dt.version, ".Rcheck"))
+   unlink(dest.Rcheck, recursive=TRUE)
+   file.rename(pkg.Rcheck, dest.Rcheck)
+   Rcheck.list[[dt.version]] <- file.path(dest.Rcheck, "00check.log")
+ }
[1] "2025-05-17 00:27:05 MST"
Installing package into '/tmp/th798/17291122/R-devel/847/library'
(as 'lib' is unspecified)
* installing *source* package 'data.table' ...
** this is package 'data.table' version '1.17.2'
** package 'data.table' successfully unpacked and MD5 sums checked
** using staged installation
zlib 1.2.13 is available ok
* checking if R installation supports OpenMP without any extra hints... yes
** libs
using C compiler: 'gcc (Spack GCC) 12.2.0'
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c assign.c -o assign.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c between.c -o between.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c bmerge.c -o bmerge.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c chmatch.c -o chmatch.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c cj.c -o cj.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c coalesce.c -o coalesce.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c dogroups.c -o dogroups.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c fastmean.c -o fastmean.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c fcast.c -o fcast.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c fifelse.c -o fifelse.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c fmelt.c -o fmelt.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c forder.c -o forder.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c frank.c -o frank.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c fread.c -o fread.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c freadR.c -o freadR.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c froll.c -o froll.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c frollR.c -o frollR.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c frolladaptive.c -o frolladaptive.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c fsort.c -o fsort.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c fwrite.c -o fwrite.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c fwriteR.c -o fwriteR.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c gsumm.c -o gsumm.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c idatetime.c -o idatetime.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c ijoin.c -o ijoin.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c init.c -o init.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c inrange.c -o inrange.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c nafill.c -o nafill.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c negate.c -o negate.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c nqrecreateindices.c -o nqrecreateindices.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c openmp-utils.c -o openmp-utils.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c programming.c -o programming.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c quickselect.c -o quickselect.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c rbindlist.c -o rbindlist.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c reorder.c -o reorder.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c shift.c -o shift.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c snprintf.c -o snprintf.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c subset.c -o subset.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c transpose.c -o transpose.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c types.c -o types.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c uniqlist.c -o uniqlist.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c utils.c -o utils.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c vecseq.c -o vecseq.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c wrappers.c -o wrappers.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o data.table.so assign.o between.o bmerge.o chmatch.o cj.o coalesce.o dogroups.o fastmean.o fcast.o fifelse.o fmelt.o forder.o frank.o fread.o freadR.o froll.o frollR.o frolladaptive.o fsort.o fwrite.o fwriteR.o gsumm.o idatetime.o ijoin.o init.o inrange.o nafill.o negate.o nqrecreateindices.o openmp-utils.o programming.o quickselect.o rbindlist.o reorder.o shift.o snprintf.o subset.o transpose.o types.o uniqlist.o utils.o vecseq.o wrappers.o -fopenmp -L/home/th798/.conda/envs/emacs1/lib -lz
PKG_CFLAGS = -fopenmp -I/home/th798/.conda/envs/emacs1/include
PKG_LIBS = -fopenmp -L/home/th798/.conda/envs/emacs1/lib -lz
if [ "data.table.so" != "data_table.so" ]; then mv data.table.so data_table.so; fi
if [ "" != "Windows_NT" ] && [ `uname -s` = 'Darwin' ]; then install_name_tool -id data_table.so data_table.so; fi
installing to /tmp/th798/17291122/R-devel/847/library/00LOCK-data.table/00new/data.table/libs
** 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
** checking absolute paths in shared objects and dynamic libraries
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (data.table)
[1] "2025-05-17 00:27:28 MST"
* using log directory '/tmp/th798/17291122/R-devel/847/mlr3learners.Rcheck'
* using R Under development (unstable) (2025-05-16 r88213)
* using platform: x86_64-pc-linux-gnu
* R was compiled by
    gcc (Spack GCC) 12.2.0
    GNU Fortran (Spack GCC) 12.2.0
* running under: Red Hat Enterprise Linux 8.10 (Ootpa)
* using session charset: ASCII
* checking for file 'mlr3learners/DESCRIPTION' ... OK
* this is package 'mlr3learners' version '0.10.0'
* 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 executable files ... OK
* checking for hidden files and directories ... OK
* checking for portable file names ... OK
* checking for sufficient/correct file permissions ... OK
* checking whether package 'mlr3learners' can be installed ... OK
* checking installed package size ... OK
* checking package 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 whether startup messages can be suppressed ... 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 examples ... OK
Examples with CPU (user + system) or elapsed time > 5s
                                 user system elapsed
mlr_learners_classif.cv_glmnet 27.712  0.118  28.509
* checking for unstated dependencies in 'tests' ... OK
* checking tests ...
  Running 'testthat.R'
 ERROR
Running the tests in 'tests/testthat.R' failed.
Complete output:
  > if (requireNamespace("testthat", quietly = TRUE)) {
  +   library("testthat")
  +   library("mlr3learners")
  +   test_check("mlr3learners")
  + }
  Loading required package: mlr3
  # weights:  3 (2 variable)
  initial  value 20.794415 
  final  value 20.727699 
  converged
  # weights:  3 (2 variable)
  initial  value 20.794415 
  final  value 20.727699 
  converged
  # weights:  3 (2 variable)
  initial  value 20.794415 
  final  value 19.148758 
  converged
  # weights:  3 (2 variable)
  initial  value 20.794415 
  final  value 19.148758 
  converged
  # weights:  3 (2 variable)
  initial  value 20.794415 
  final  value 19.602943 
  converged
  # weights:  3 (2 variable)
  initial  value 20.794415 
  final  value 19.602943 
  converged
  # weights:  3 (2 variable)
  initial  value 20.794415 
  final  value 17.397455 
  converged
  # weights:  3 (2 variable)
  initial  value 20.794415 
  final  value 17.397455 
  converged
  # weights:  6 (5 variable)
  initial  value 20.794415 
  iter  10 value 14.852867
  final  value 14.852864 
  converged
  # weights:  6 (5 variable)
  initial  value 20.794415 
  iter  10 value 14.852867
  final  value 14.852864 
  converged
  # weights:  6 (5 variable)
  initial  value 20.794415 
  iter  10 value 14.852867
  final  value 14.852864 
  converged
  # weights:  6 (5 variable)
  initial  value 20.794415 
  iter  10 value 14.852867
  final  value 14.852864 
  converged
  # weights:  6 (5 variable)
  initial  value 10.657033 
  iter  10 value 6.015732
  iter  20 value 6.014878
  iter  20 value 6.014878
  iter  20 value 6.014878
  final  value 6.014878 
  converged
  # weights:  6 (5 variable)
  initial  value 10.657033 
  iter  10 value 6.015732
  iter  20 value 6.014878
  iter  20 value 6.014878
  iter  20 value 6.014878
  final  value 6.014878 
  converged
  # weights:  6 (5 variable)
  initial  value 20.794415 
  iter  10 value 14.852867
  final  value 14.852864 
  converged
  # weights:  6 (5 variable)
  initial  value 20.794415 
  iter  10 value 14.852867
  final  value 14.852864 
  converged
  # weights:  9 (4 variable)
  initial  value 32.958369 
  final  value 32.555658 
  converged
  # weights:  9 (4 variable)
  initial  value 32.958369 
  final  value 32.555658 
  converged
  # weights:  9 (4 variable)
  initial  value 32.958369 
  final  value 30.921052 
  converged
  # weights:  9 (4 variable)
  initial  value 32.958369 
  final  value 30.921052 
  converged
  # weights:  9 (4 variable)
  initial  value 32.958369 
  final  value 31.771057 
  converged
  # weights:  9 (4 variable)
  initial  value 32.958369 
  final  value 31.771057 
  converged
  # weights:  9 (4 variable)
  initial  value 32.958369 
  final  value 32.555658 
  converged
  # weights:  9 (4 variable)
  initial  value 32.958369 
  final  value 32.555658 
  converged
  # weights:  18 (10 variable)
  initial  value 32.958369 
  iter  10 value 28.827802
  final  value 28.827207 
  converged
  # weights:  18 (10 variable)
  initial  value 32.958369 
  iter  10 value 28.827802
  final  value 28.827207 
  converged
  # weights:  18 (10 variable)
  initial  value 32.958369 
  iter  10 value 28.827802
  final  value 28.827207 
  converged
  # weights:  18 (10 variable)
  initial  value 32.958369 
  iter  10 value 28.827802
  final  value 28.827207 
  converged
  # weights:  18 (10 variable)
  initial  value 16.926817 
  iter  10 value 13.480584
  iter  20 value 13.459346
  final  value 13.459342 
  converged
  # weights:  18 (10 variable)
  initial  value 16.926817 
  iter  10 value 13.480584
  iter  20 value 13.459346
  final  value 13.459342 
  converged
  # weights:  18 (10 variable)
  initial  value 32.958369 
  iter  10 value 28.827802
  final  value 28.827207 
  converged
  # weights:  18 (10 variable)
  initial  value 32.958369 
  iter  10 value 28.827802
  final  value 28.827207 
  converged
  # weights:  4 (3 variable)
  initial  value 138.629436 
  iter  10 value 0.097335
  iter  20 value 0.008928
  iter  30 value 0.003213
  iter  40 value 0.002454
  iter  50 value 0.002153
  iter  60 value 0.001766
  iter  70 value 0.001529
  iter  80 value 0.001283
  iter  90 value 0.001169
  iter 100 value 0.000964
  final  value 0.000964 
  stopped after 100 iterations
  # weights:  4 (3 variable)
  initial  value 138.629436 
  iter  10 value 0.097335
  iter  20 value 0.008928
  iter  30 value 0.003213
  iter  40 value 0.002454
  iter  50 value 0.002153
  iter  60 value 0.001766
  iter  70 value 0.001529
  iter  80 value 0.001283
  iter  90 value 0.001169
  iter 100 value 0.000964
  final  value 0.000964 
  stopped after 100 iterations
  # weights:  4 (3 variable)
  initial  value 138.629436 
  iter  10 value 0.097335
  iter  20 value 0.008928
  iter  30 value 0.003213
  iter  40 value 0.002454
  iter  50 value 0.002153
  iter  60 value 0.001766
  iter  70 value 0.001529
  iter  80 value 0.001283
  iter  90 value 0.001169
  iter 100 value 0.000964
  final  value 0.000964 
  stopped after 100 iterations
  # weights:  4 (3 variable)
  initial  value 138.629436 
  iter  10 value 0.097335
  iter  20 value 0.008928
  iter  30 value 0.003213
  iter  40 value 0.002454
  iter  50 value 0.002153
  iter  60 value 0.001766
  iter  70 value 0.001529
  iter  80 value 0.001283
  iter  90 value 0.001169
  iter 100 value 0.000964
  final  value 0.000964 
  stopped after 100 iterations
  # weights:  4 (3 variable)
  initial  value 138.629436 
  iter  10 value 0.097335
  iter  20 value 0.008928
  iter  30 value 0.003213
  iter  40 value 0.002454
  iter  50 value 0.002153
  iter  60 value 0.001766
  iter  70 value 0.001529
  iter  80 value 0.001283
  iter  90 value 0.001169
  iter 100 value 0.000964
  final  value 0.000964 
  stopped after 100 iterations
  # weights:  4 (3 variable)
  initial  value 138.629436 
  iter  10 value 0.097335
  iter  20 value 0.008928
  iter  30 value 0.003213
  iter  40 value 0.002454
  iter  50 value 0.002153
  iter  60 value 0.001766
  iter  70 value 0.001529
  iter  80 value 0.001283
  iter  90 value 0.001169
  iter 100 value 0.000964
  final  value 0.000964 
  stopped after 100 iterations
  # weights:  18 (10 variable)
  initial  value 164.791843 
  iter  10 value 16.177348
  iter  20 value 7.111438
  iter  30 value 6.182999
  iter  40 value 5.984028
  iter  50 value 5.961278
  iter  60 value 5.954900
  iter  70 value 5.951851
  iter  80 value 5.950343
  iter  90 value 5.949904
  iter 100 value 5.949867
  final  value 5.949867 
  stopped after 100 iterations
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 1.822265e-08 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.947064 
    - variance bounds :  0.1781893 18.22265 
    - best initial criterion value(s) :  -2059338 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=   2.0593e+06  |proj g|=       17.206
  At iterate     1  f =       120.96  |proj g|=        1.2375
  At iterate     2  f =       85.608  |proj g|=        1.8641
  At iterate     3  f =       85.447  |proj g|=       0.21083
  At iterate     4  f =       85.444  |proj g|=      0.043795
  At iterate     5  f =       85.444  |proj g|=     0.0013821
  At iterate     6  f =       85.444  |proj g|=    8.7139e-06
  
  iterations 6
  function evaluations 26
  segments explored during Cauchy searches 9
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 2
  norm of the final projected gradient 8.7139e-06
  final function value 85.4439
  
  F = 85.4439
  final  value 85.443866 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 1.822265e-08 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.947064 
    - variance bounds :  0.1781893 18.22265 
    - best initial criterion value(s) :  -2059338 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=   2.0593e+06  |proj g|=       17.206
  At iterate     1  f =       120.96  |proj g|=        1.2375
  At iterate     2  f =       85.608  |proj g|=        1.8641
  At iterate     3  f =       85.447  |proj g|=       0.21083
  At iterate     4  f =       85.444  |proj g|=      0.043795
  At iterate     5  f =       85.444  |proj g|=     0.0013821
  At iterate     6  f =       85.444  |proj g|=    8.7139e-06
  
  iterations 6
  function evaluations 26
  segments explored during Cauchy searches 9
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 2
  norm of the final projected gradient 8.7139e-06
  final function value 85.4439
  
  F = 85.4439
  final  value 85.443866 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 1.822265e-08 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.947064 
    - variance bounds :  0.1781893 18.22265 
    - best initial criterion value(s) :  -200343.5 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=   2.0034e+05  |proj g|=       16.094
  At iterate     1  f =       120.96  |proj g|=        1.2375
  At iterate     2  f =       86.064  |proj g|=        2.0726
  ys=-1.688e+01  -gs= 1.976e+01, BFGS update SKIPPED
  At iterate     3  f =       85.594  |proj g|=        1.3242
  At iterate     4  f =       85.448  |proj g|=       0.24448
  At iterate     5  f =       85.444  |proj g|=      0.064774
  At iterate     6  f =       85.444  |proj g|=     0.0023384
  At iterate     7  f =       85.444  |proj g|=    2.1401e-05
  At iterate     8  f =       85.444  |proj g|=    7.1523e-09
  
  iterations 8
  function evaluations 36
  segments explored during Cauchy searches 11
  BFGS updates skipped 1
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 7.15234e-09
  final function value 85.4439
  
  F = 85.4439
  final  value 85.443866 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 1.822265e-08 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.947064 
    - variance bounds :  0.1781893 18.22265 
    - best initial criterion value(s) :  -200343.5 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=   2.0034e+05  |proj g|=       16.094
  At iterate     1  f =       120.96  |proj g|=        1.2375
  At iterate     2  f =       86.064  |proj g|=        2.0726
  ys=-1.688e+01  -gs= 1.976e+01, BFGS update SKIPPED
  At iterate     3  f =       85.594  |proj g|=        1.3242
  At iterate     4  f =       85.448  |proj g|=       0.24448
  At iterate     5  f =       85.444  |proj g|=      0.064774
  At iterate     6  f =       85.444  |proj g|=     0.0023384
  At iterate     7  f =       85.444  |proj g|=    2.1401e-05
  At iterate     8  f =       85.444  |proj g|=    7.1523e-09
  
  iterations 8
  function evaluations 36
  segments explored during Cauchy searches 11
  BFGS updates skipped 1
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 7.15234e-09
  final function value 85.4439
  
  F = 85.4439
  final  value 85.443866 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 1.822265e-08 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.947064 
    - variance bounds :  0.1781893 18.22265 
    - best initial criterion value(s) :  -575649.9 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=   5.7565e+05  |proj g|=       16.912
  At iterate     1  f =       120.96  |proj g|=        1.2375
  At iterate     2  f =       86.821  |proj g|=        2.3595
  ys=-2.637e+01  -gs= 1.941e+01, BFGS update SKIPPED
  At iterate     3  f =       86.301  |proj g|=        2.1703
  At iterate     4  f =       85.474  |proj g|=       0.64502
  At iterate     5  f =       85.444  |proj g|=      0.054715
  At iterate     6  f =       85.444  |proj g|=     0.0057719
  At iterate     7  f =       85.444  |proj g|=    4.5516e-05
  At iterate     8  f =       85.444  |proj g|=    3.7495e-08
  
  iterations 8
  function evaluations 36
  segments explored during Cauchy searches 11
  BFGS updates skipped 1
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 3.74946e-08
  final function value 85.4439
  
  F = 85.4439
  final  value 85.443866 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 1.822265e-08 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.947064 
    - variance bounds :  0.1781893 18.22265 
    - best initial criterion value(s) :  -151793.5 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=   1.5179e+05  |proj g|=       15.668
  At iterate     1  f =       120.96  |proj g|=        1.2375
  At iterate     2  f =        85.46  |proj g|=       0.52021
  At iterate     3  f =       85.444  |proj g|=     0.0014618
  At iterate     4  f =       85.444  |proj g|=    9.9518e-05
  
  iterations 4
  function evaluations 22
  segments explored during Cauchy searches 7
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 9.95178e-05
  final function value 85.4439
  
  F = 85.4439
  final  value 85.443866 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 3.435024e-07 
    - parameters lower bounds :  1e-10 1e-10 
    - parameters upper bounds :  1.880582 44.27959 
    - variance bounds :  3.435024 622.0591 
    - best initial criterion value(s) :  -269.5758 
  
  N = 3, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       269.58  |proj g|=       30.848
  At iterate     1  f =       266.31  |proj g|=         16.98
  At iterate     2  f =       252.96  |proj g|=        19.046
  At iterate     3  f =       250.17  |proj g|=        9.4802
  At iterate     4  f =       249.78  |proj g|=         1.809
  At iterate     5  f =       249.37  |proj g|=        1.1738
  At iterate     6  f =       249.34  |proj g|=        1.6979
  At iterate     7  f =       249.34  |proj g|=       0.23171
  At iterate     8  f =       249.34  |proj g|=       0.23163
  At iterate     9  f =       249.34  |proj g|=       0.23148
  At iterate    10  f =       249.34  |proj g|=       0.23122
  At iterate    11  f =       249.34  |proj g|=       0.23086
  At iterate    12  f =       249.34  |proj g|=       0.23027
  At iterate    13  f =       249.33  |proj g|=       0.25855
  At iterate    14  f =       249.32  |proj g|=       0.55227
  At iterate    15  f =       249.29  |proj g|=        1.0294
  At iterate    16  f =       249.23  |proj g|=        2.1384
  At iterate    17  f =       249.19  |proj g|=        1.1734
  At iterate    18  f =       248.99  |proj g|=         3.017
  At iterate    19  f =        248.1  |proj g|=        7.5692
  At iterate    20  f =       246.91  |proj g|=        9.6438
  At iterate    21  f =        245.3  |proj g|=        10.381
  At iterate    22  f =       244.04  |proj g|=        5.8689
  At iterate    23  f =       243.61  |proj g|=        6.5332
  At iterate    24  f =       243.27  |proj g|=       0.15287
  At iterate    25  f =       243.26  |proj g|=       0.15246
  At iterate    26  f =       243.26  |proj g|=      0.034001
  At iterate    27  f =       243.26  |proj g|=     0.0058906
  At iterate    28  f =       243.26  |proj g|=    0.00024583
  
  iterations 28
  function evaluations 35
  segments explored during Cauchy searches 29
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 0
  norm of the final projected gradient 0.000245831
  final function value 243.264
  
  F = 243.264
  final  value 243.264413 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 3.435024e-07 
    - parameters lower bounds :  1e-10 1e-10 
    - parameters upper bounds :  1.880582 44.27959 
    - variance bounds :  3.435024 622.0591 
    - best initial criterion value(s) :  -747.4266 
  
  N = 3, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       747.43  |proj g|=       10.004
  At iterate     1  f =       327.75  |proj g|=       0.36756
  At iterate     2  f =       318.92  |proj g|=       0.19583
  At iterate     3  f =       318.35  |proj g|=       0.11464
  At iterate     4  f =       318.24  |proj g|=      0.037194
  At iterate     5  f =       318.22  |proj g|=     0.0051579
  At iterate     6  f =       318.22  |proj g|=    0.00028132
  At iterate     7  f =       318.22  |proj g|=    1.9903e-06
  At iterate     8  f =       318.22  |proj g|=     7.613e-10
  
  iterations 8
  function evaluations 18
  segments explored during Cauchy searches 10
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 2
  norm of the final projected gradient 7.61296e-10
  final function value 318.222
  
  F = 318.222
  final  value 318.221782 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 3.435024e-07 
    - parameters lower bounds :  1e-10 1e-10 
    - parameters upper bounds :  1.880582 44.27959 
    - variance bounds :  3.435024 622.0591 
    - best initial criterion value(s) :  -438.563 
  
  N = 3, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       438.56  |proj g|=       7.2906
  At iterate     1  f =       325.26  |proj g|=       0.36248
  At iterate     2  f =        323.6  |proj g|=       0.35139
  At iterate     3  f =       318.65  |proj g|=       0.16043
  Nonpositive definiteness in Cholesky factorization in formk;
     refresh the lbfgs memory and restart the iteration.
  At iterate     4  f =       318.53  |proj g|=       0.13956
  At iterate     5  f =       318.26  |proj g|=      0.061943
  At iterate     6  f =       318.22  |proj g|=      0.013808
  At iterate     7  f =       318.22  |proj g|=     0.0010773
  At iterate     8  f =       318.22  |proj g|=    2.0761e-05
  At iterate     9  f =       318.22  |proj g|=    3.0479e-08
  
  iterations 9
  function evaluations 16
  segments explored during Cauchy searches 12
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 2
  norm of the final projected gradient 3.04787e-08
  final function value 318.222
  
  F = 318.222
  final  value 318.221782 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 3.435024e-07 
    - parameters lower bounds :  1e-10 1e-10 
    - parameters upper bounds :  1.880582 44.27959 
    - variance bounds :  3.435024 622.0591 
    - best initial criterion value(s) :  -320.6484 
  
  N = 3, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       320.65  |proj g|=       3.9549
  At iterate     1  f =        318.3  |proj g|=      0.087105
  At iterate     2  f =       318.27  |proj g|=      0.067706
  At iterate     3  f =       318.22  |proj g|=     0.0063517
  At iterate     4  f =       318.22  |proj g|=    0.00052011
  At iterate     5  f =       318.22  |proj g|=    4.4419e-06
  At iterate     6  f =       318.22  |proj g|=    3.1398e-09
  
  iterations 6
  function evaluations 13
  segments explored during Cauchy searches 8
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 2
  norm of the final projected gradient 3.13975e-09
  final function value 318.222
  
  F = 318.222
  final  value 318.221782 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 9.325718e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.913901 
    - variance bounds :  0.09325718 9.591732 
    - best initial criterion value(s) :  -193964.3 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=   1.9396e+05  |proj g|=       8.6797
  At iterate     1  f =       104.85  |proj g|=        2.3581
  At iterate     2  f =       68.816  |proj g|=       0.91592
  At iterate     3  f =       68.698  |proj g|=       0.24355
  Nonpositive definiteness in Cholesky factorization in formk;
     refresh the lbfgs memory and restart the iteration.
  At iterate     4  f =       68.697  |proj g|=      0.013662
  At iterate     5  f =       68.697  |proj g|=    0.00024914
  At iterate     6  f =       68.697  |proj g|=    2.4916e-07
  
  iterations 6
  function evaluations 26
  segments explored during Cauchy searches 11
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 2.49163e-07
  final function value 68.6966
  
  F = 68.6966
  final  value 68.696631 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 9.325718e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.913901 
    - variance bounds :  0.09325718 9.591732 
    - best initial criterion value(s) :  -193964.3 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=   1.9396e+05  |proj g|=       8.6797
  At iterate     1  f =       104.85  |proj g|=        2.3581
  At iterate     2  f =       68.816  |proj g|=       0.91592
  At iterate     3  f =       68.698  |proj g|=       0.24355
  Nonpositive definiteness in Cholesky factorization in formk;
     refresh the lbfgs memory and restart the iteration.
  At iterate     4  f =       68.697  |proj g|=      0.013662
  At iterate     5  f =       68.697  |proj g|=    0.00024914
  At iterate     6  f =       68.697  |proj g|=    2.4916e-07
  
  iterations 6
  function evaluations 26
  segments explored during Cauchy searches 11
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 2.49163e-07
  final function value 68.6966
  
  F = 68.6966
  final  value 68.696631 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 9.325718e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.913901 
    - variance bounds :  0.09325718 9.591732 
    - best initial criterion value(s) :  -588993.3 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=   5.8899e+05  |proj g|=       8.3135
  At iterate     1  f =       104.85  |proj g|=        2.3581
  At iterate     2  f =       70.892  |proj g|=        1.3408
  ys=-3.234e+01  -gs= 1.924e+01, BFGS update SKIPPED
  At iterate     3  f =       70.037  |proj g|=        1.1989
  At iterate     4  f =       68.697  |proj g|=       0.22642
  Nonpositive definiteness in Cholesky factorization in formk;
     refresh the lbfgs memory and restart the iteration.
  At iterate     5  f =       68.697  |proj g|=       0.01245
  At iterate     6  f =       68.697  |proj g|=    0.00020215
  At iterate     7  f =       68.697  |proj g|=    1.8422e-07
  
  iterations 7
  function evaluations 36
  segments explored during Cauchy searches 12
  BFGS updates skipped 1
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 1.8422e-07
  final function value 68.6966
  
  F = 68.6966
  final  value 68.696631 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 9.325718e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.913901 
    - variance bounds :  0.09325718 9.591732 
    - best initial criterion value(s) :  -588993.3 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=   5.8899e+05  |proj g|=       8.3135
  At iterate     1  f =       104.85  |proj g|=        2.3581
  At iterate     2  f =       70.892  |proj g|=        1.3408
  ys=-3.234e+01  -gs= 1.924e+01, BFGS update SKIPPED
  At iterate     3  f =       70.037  |proj g|=        1.1989
  At iterate     4  f =       68.697  |proj g|=       0.22642
  Nonpositive definiteness in Cholesky factorization in formk;
     refresh the lbfgs memory and restart the iteration.
  At iterate     5  f =       68.697  |proj g|=       0.01245
  At iterate     6  f =       68.697  |proj g|=    0.00020215
  At iterate     7  f =       68.697  |proj g|=    1.8422e-07
  
  iterations 7
  function evaluations 36
  segments explored during Cauchy searches 12
  BFGS updates skipped 1
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 1.8422e-07
  final function value 68.6966
  
  F = 68.6966
  final  value 68.696631 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 9.325718e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.913901 
    - variance bounds :  0.09325718 9.591732 
    - best initial criterion value(s) :  -31688843 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=   3.1689e+07  |proj g|=       9.0019
  At iterate     1  f =       104.85  |proj g|=        2.3581
  At iterate     2  f =       70.662  |proj g|=        1.3041
  ys=-3.140e+01  -gs= 1.932e+01, BFGS update SKIPPED
  At iterate     3  f =        69.81  |proj g|=        1.1579
  At iterate     4  f =       68.711  |proj g|=       0.85229
  At iterate     5  f =       68.697  |proj g|=       0.05866
  At iterate     6  f =       68.697  |proj g|=     0.0041545
  At iterate     7  f =       68.697  |proj g|=    1.7907e-05
  At iterate     8  f =       68.697  |proj g|=    5.4372e-09
  
  iterations 8
  function evaluations 39
  segments explored during Cauchy searches 11
  BFGS updates skipped 1
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 5.43724e-09
  final function value 68.6966
  
  F = 68.6966
  final  value 68.696631 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 9.325718e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.913901 
    - variance bounds :  0.09325718 9.591732 
    - best initial criterion value(s) :  -3037028 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=    3.037e+06  |proj g|=       8.2779
  At iterate     1  f =       104.85  |proj g|=        2.3581
  At iterate     2  f =       70.665  |proj g|=        1.3046
  ys=-3.141e+01  -gs= 1.932e+01, BFGS update SKIPPED
  At iterate     3  f =       69.813  |proj g|=        1.1584
  At iterate     4  f =       68.711  |proj g|=       0.85193
  At iterate     5  f =       68.697  |proj g|=      0.057396
  At iterate     6  f =       68.697  |proj g|=     0.0040162
  At iterate     7  f =       68.697  |proj g|=    1.6937e-05
  At iterate     8  f =       68.697  |proj g|=    4.9715e-09
  
  iterations 8
  function evaluations 39
  segments explored during Cauchy searches 11
  BFGS updates skipped 1
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 4.97146e-09
  final function value 68.6966
  
  F = 68.6966
  final  value 68.696631 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 3.435024e-07 
    - parameters lower bounds :  1e-10 1e-10 
    - parameters upper bounds :  1.880582 44.27959 
    - variance bounds :  3.435024 622.0591 
    - best initial criterion value(s) :  -262.353 
  
  N = 3, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       262.35  |proj g|=       33.873
  At iterate     1  f =        250.9  |proj g|=        1.6996
  At iterate     2  f =        249.6  |proj g|=        4.1923
  At iterate     3  f =       249.35  |proj g|=        1.6972
  At iterate     4  f =       249.34  |proj g|=       0.23194
  At iterate     5  f =       249.34  |proj g|=       0.23156
  At iterate     6  f =       249.34  |proj g|=       0.23134
  At iterate     7  f =       249.34  |proj g|=       0.96154
  At iterate     8  f =       249.33  |proj g|=         1.699
  At iterate     9  f =        249.3  |proj g|=        1.7007
  At iterate    10  f =       249.24  |proj g|=        1.7314
  At iterate    11  f =       249.23  |proj g|=        1.7301
  At iterate    12  f =       249.06  |proj g|=          1.76
  At iterate    13  f =       248.37  |proj g|=         1.793
  At iterate    14  f =       247.07  |proj g|=        1.7834
  At iterate    15  f =       245.95  |proj g|=        1.7233
  At iterate    16  f =       244.46  |proj g|=        1.5351
  At iterate    17  f =       244.43  |proj g|=        1.5291
  At iterate    18  f =       243.46  |proj g|=        4.9085
  At iterate    19  f =       243.27  |proj g|=        1.7278
  At iterate    20  f =       243.26  |proj g|=       0.15245
  At iterate    21  f =       243.26  |proj g|=     0.0050793
  At iterate    22  f =       243.26  |proj g|=      0.001212
  
  iterations 22
  function evaluations 32
  segments explored during Cauchy searches 23
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 0
  norm of the final projected gradient 0.00121198
  final function value 243.264
  
  F = 243.264
  final  value 243.264413 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 3.435024e-07 
    - parameters lower bounds :  1e-10 1e-10 
    - parameters upper bounds :  1.880582 44.27959 
    - variance bounds :  3.435024 622.0591 
    - best initial criterion value(s) :  -301.3568 
  
  N = 3, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       301.36  |proj g|=       1.8739
  At iterate     1  f =       263.73  |proj g|=        4.3342
  At iterate     2  f =       260.87  |proj g|=        3.6736
  At iterate     3  f =       260.83  |proj g|=        3.1779
  At iterate     4  f =       260.83  |proj g|=        3.2004
  At iterate     5  f =       260.83  |proj g|=        3.2236
  At iterate     6  f =       260.83  |proj g|=        3.2684
  At iterate     7  f =       260.83  |proj g|=        3.3338
  At iterate     8  f =       260.82  |proj g|=        3.4366
  At iterate     9  f =        260.8  |proj g|=        3.5858
  At iterate    10  f =       260.74  |proj g|=        3.7832
  At iterate    11  f =       260.58  |proj g|=        3.9944
  At iterate    12  f =       260.15  |proj g|=        3.9209
  At iterate    13  f =       257.24  |proj g|=        1.8202
  At iterate    14  f =       257.19  |proj g|=        2.7868
  At iterate    15  f =       255.26  |proj g|=        4.8935
  At iterate    16  f =       253.59  |proj g|=        10.851
  At iterate    17  f =       247.36  |proj g|=        15.086
  At iterate    18  f =       244.08  |proj g|=        1.7315
  At iterate    19  f =       243.85  |proj g|=         0.161
  At iterate    20  f =       243.84  |proj g|=       0.16612
  At iterate    21  f =       243.84  |proj g|=       0.16537
  At iterate    22  f =       243.84  |proj g|=       0.16392
  At iterate    23  f =       243.84  |proj g|=       0.52907
  At iterate    24  f =       243.83  |proj g|=        1.1148
  At iterate    25  f =       243.79  |proj g|=        1.4599
  At iterate    26  f =       243.72  |proj g|=         1.464
  At iterate    27  f =       243.58  |proj g|=         1.461
  At iterate    28  f =       243.43  |proj g|=        1.4215
  At iterate    29  f =       243.39  |proj g|=        1.4296
  At iterate    30  f =       243.29  |proj g|=        1.3884
  At iterate    31  f =       243.26  |proj g|=       0.38191
  At iterate    32  f =       243.26  |proj g|=      0.010732
  At iterate    33  f =       243.26  |proj g|=     0.0051699
  At iterate    34  f =       243.26  |proj g|=     0.0007956
  
  iterations 34
  function evaluations 51
  segments explored during Cauchy searches 35
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 0
  norm of the final projected gradient 0.000795602
  final function value 243.264
  
  F = 243.264
  final  value 243.264413 
  converged
  [ FAIL 2 | WARN 227 | SKIP 4 | PASS 547 ]
  
  == Skipped tests (4) ===========================================================
  * On CRAN (4): 'test_classif_nnet.R:2:1', 'test_classif_xgboost.R:2:1',
    'test_regr_nnet.R:2:1', 'test_regr_xgboost.R:2:1'
  
  == Failed tests ================================================================
  -- Failure ('test_classif_ranger.R:8:3'): autotest -----------------------------
  `result` is not TRUE
  
  `actual` is a list
  `expected` is a logical vector (TRUE)
  [train()] learner 'classif.ranger:response' on task 'missings_binary' failed: Error : Missing data in columns: character, factor, integer, logical, numeric, ordered.
  
  -- Failure ('test_regr_ranger.R:7:3'): autotest --------------------------------
  `result` is not TRUE
  
  `actual` is a list
  `expected` is a logical vector (TRUE)
  [train()] learner 'regr.ranger:response' on task 'missings' failed: Error : Missing data in columns: character, factor, integer, logical, numeric, ordered.
  
  
  [ FAIL 2 | WARN 227 | SKIP 4 | PASS 547 ]
  Error: Test failures
  Execution halted
* checking PDF version of manual ... OK
* DONE

Status: 1 ERROR
See
  '/tmp/th798/17291122/R-devel/847/mlr3learners.Rcheck/00check.log'
for details.

[1] "2025-05-17 00:36:19 MST"
[1] "2025-05-17 00:36:19 MST"
Installing package into '/tmp/th798/17291122/R-devel/847/library'
(as 'lib' is unspecified)
* installing *source* package 'data.table' ...
** this is package 'data.table' version '1.17.99'
** using staged installation
zlib 1.2.13 is available ok
* checking if R installation supports OpenMP without any extra hints... yes
** libs
using C compiler: 'gcc (Spack GCC) 12.2.0'
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c assign.c -o assign.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c between.c -o between.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c bmerge.c -o bmerge.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c chmatch.c -o chmatch.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c cj.c -o cj.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c coalesce.c -o coalesce.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c dogroups.c -o dogroups.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c fastmean.c -o fastmean.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c fcast.c -o fcast.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c fifelse.c -o fifelse.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c fmelt.c -o fmelt.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c forder.c -o forder.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c frank.c -o frank.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c fread.c -o fread.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c freadR.c -o freadR.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c froll.c -o froll.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c frollR.c -o frollR.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c frolladaptive.c -o frolladaptive.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c fsort.c -o fsort.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c fwrite.c -o fwrite.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c fwriteR.c -o fwriteR.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c gsumm.c -o gsumm.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c idatetime.c -o idatetime.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c ijoin.c -o ijoin.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c init.c -o init.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c inrange.c -o inrange.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c nafill.c -o nafill.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c negate.c -o negate.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c nqrecreateindices.c -o nqrecreateindices.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c openmp-utils.c -o openmp-utils.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c programming.c -o programming.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c quickselect.c -o quickselect.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c rbindlist.c -o rbindlist.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c reorder.c -o reorder.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c shift.c -o shift.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c snprintf.c -o snprintf.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c subset.c -o subset.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c transpose.c -o transpose.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c types.c -o types.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c uniqlist.c -o uniqlist.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c utils.c -o utils.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c vecseq.c -o vecseq.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c wrappers.c -o wrappers.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o data.table.so assign.o between.o bmerge.o chmatch.o cj.o coalesce.o dogroups.o fastmean.o fcast.o fifelse.o fmelt.o forder.o frank.o fread.o freadR.o froll.o frollR.o frolladaptive.o fsort.o fwrite.o fwriteR.o gsumm.o idatetime.o ijoin.o init.o inrange.o nafill.o negate.o nqrecreateindices.o openmp-utils.o programming.o quickselect.o rbindlist.o reorder.o shift.o snprintf.o subset.o transpose.o types.o uniqlist.o utils.o vecseq.o wrappers.o -fopenmp -L/home/th798/.conda/envs/emacs1/lib -lz
PKG_CFLAGS = -fopenmp -I/home/th798/.conda/envs/emacs1/include
PKG_LIBS = -fopenmp -L/home/th798/.conda/envs/emacs1/lib -lz
if [ "data.table.so" != "data_table.so" ]; then mv data.table.so data_table.so; fi
if [ "" != "Windows_NT" ] && [ `uname -s` = 'Darwin' ]; then install_name_tool -id data_table.so data_table.so; fi
installing to /tmp/th798/17291122/R-devel/847/library/00LOCK-data.table/00new/data.table/libs
** 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
** checking absolute paths in shared objects and dynamic libraries
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (data.table)
[1] "2025-05-17 00:36:37 MST"
* using log directory '/tmp/th798/17291122/R-devel/847/mlr3learners.Rcheck'
* using R Under development (unstable) (2025-05-16 r88213)
* using platform: x86_64-pc-linux-gnu
* R was compiled by
    gcc (Spack GCC) 12.2.0
    GNU Fortran (Spack GCC) 12.2.0
* running under: Red Hat Enterprise Linux 8.10 (Ootpa)
* using session charset: ASCII
* checking for file 'mlr3learners/DESCRIPTION' ... OK
* this is package 'mlr3learners' version '0.10.0'
* 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 executable files ... OK
* checking for hidden files and directories ... OK
* checking for portable file names ... OK
* checking for sufficient/correct file permissions ... OK
* checking whether package 'mlr3learners' can be installed ... OK
* checking installed package size ... OK
* checking package 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 whether startup messages can be suppressed ... 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 examples ... OK
Examples with CPU (user + system) or elapsed time > 5s
                                 user system elapsed
mlr_learners_classif.cv_glmnet 28.485  0.098  28.835
* checking for unstated dependencies in 'tests' ... OK
* checking tests ...
  Running 'testthat.R'
 ERROR
Running the tests in 'tests/testthat.R' failed.
Complete output:
  > if (requireNamespace("testthat", quietly = TRUE)) {
  +   library("testthat")
  +   library("mlr3learners")
  +   test_check("mlr3learners")
  + }
  Loading required package: mlr3
  # weights:  3 (2 variable)
  initial  value 20.794415 
  final  value 20.190350 
  converged
  # weights:  3 (2 variable)
  initial  value 20.794415 
  final  value 20.190350 
  converged
  # weights:  3 (2 variable)
  initial  value 20.794415 
  final  value 19.880405 
  converged
  # weights:  3 (2 variable)
  initial  value 20.794415 
  final  value 19.880405 
  converged
  # weights:  3 (2 variable)
  initial  value 20.794415 
  final  value 20.627915 
  converged
  # weights:  3 (2 variable)
  initial  value 20.794415 
  final  value 20.627915 
  converged
  # weights:  3 (2 variable)
  initial  value 20.794415 
  final  value 20.190350 
  converged
  # weights:  3 (2 variable)
  initial  value 20.794415 
  final  value 20.190350 
  converged
  # weights:  6 (5 variable)
  initial  value 20.794415 
  final  value 18.548680 
  converged
  # weights:  6 (5 variable)
  initial  value 20.794415 
  final  value 18.548680 
  converged
  # weights:  6 (5 variable)
  initial  value 20.794415 
  final  value 18.548680 
  converged
  # weights:  6 (5 variable)
  initial  value 20.794415 
  final  value 18.548680 
  converged
  # weights:  6 (5 variable)
  initial  value 9.288920 
  iter  10 value 6.477918
  final  value 6.477768 
  converged
  # weights:  6 (5 variable)
  initial  value 9.288920 
  iter  10 value 6.477918
  final  value 6.477768 
  converged
  # weights:  6 (5 variable)
  initial  value 20.794415 
  final  value 18.548680 
  converged
  # weights:  6 (5 variable)
  initial  value 20.794415 
  final  value 18.548680 
  converged
  # weights:  9 (4 variable)
  initial  value 32.958369 
  final  value 31.732830 
  converged
  # weights:  9 (4 variable)
  initial  value 32.958369 
  final  value 31.732830 
  converged
  # weights:  9 (4 variable)
  initial  value 32.958369 
  final  value 32.350660 
  converged
  # weights:  9 (4 variable)
  initial  value 32.958369 
  final  value 32.350660 
  converged
  # weights:  9 (4 variable)
  initial  value 32.958369 
  iter  10 value 32.896648
  iter  10 value 32.896648
  final  value 32.896648 
  converged
  # weights:  9 (4 variable)
  initial  value 32.958369 
  iter  10 value 32.896648
  iter  10 value 32.896648
  final  value 32.896648 
  converged
  # weights:  9 (4 variable)
  initial  value 32.958369 
  final  value 32.555658 
  converged
  # weights:  9 (4 variable)
  initial  value 32.958369 
  final  value 32.555658 
  converged
  # weights:  18 (10 variable)
  initial  value 32.958369 
  iter  10 value 31.100134
  final  value 31.098186 
  converged
  # weights:  18 (10 variable)
  initial  value 32.958369 
  iter  10 value 31.100134
  final  value 31.098186 
  converged
  # weights:  18 (10 variable)
  initial  value 32.958369 
  iter  10 value 31.100134
  final  value 31.098186 
  converged
  # weights:  18 (10 variable)
  initial  value 32.958369 
  iter  10 value 31.100134
  final  value 31.098186 
  converged
  # weights:  18 (10 variable)
  initial  value 14.307715 
  iter  10 value 12.823269
  final  value 12.808562 
  converged
  # weights:  18 (10 variable)
  initial  value 14.307715 
  iter  10 value 12.823269
  final  value 12.808562 
  converged
  # weights:  18 (10 variable)
  initial  value 32.958369 
  iter  10 value 31.100134
  final  value 31.098186 
  converged
  # weights:  18 (10 variable)
  initial  value 32.958369 
  iter  10 value 31.100134
  final  value 31.098186 
  converged
  # weights:  4 (3 variable)
  initial  value 138.629436 
  iter  10 value 0.097335
  iter  20 value 0.008928
  iter  30 value 0.003213
  iter  40 value 0.002454
  iter  50 value 0.002153
  iter  60 value 0.001766
  iter  70 value 0.001529
  iter  80 value 0.001283
  iter  90 value 0.001169
  iter 100 value 0.000964
  final  value 0.000964 
  stopped after 100 iterations
  # weights:  4 (3 variable)
  initial  value 138.629436 
  iter  10 value 0.097335
  iter  20 value 0.008928
  iter  30 value 0.003213
  iter  40 value 0.002454
  iter  50 value 0.002153
  iter  60 value 0.001766
  iter  70 value 0.001529
  iter  80 value 0.001283
  iter  90 value 0.001169
  iter 100 value 0.000964
  final  value 0.000964 
  stopped after 100 iterations
  # weights:  4 (3 variable)
  initial  value 138.629436 
  iter  10 value 0.097335
  iter  20 value 0.008928
  iter  30 value 0.003213
  iter  40 value 0.002454
  iter  50 value 0.002153
  iter  60 value 0.001766
  iter  70 value 0.001529
  iter  80 value 0.001283
  iter  90 value 0.001169
  iter 100 value 0.000964
  final  value 0.000964 
  stopped after 100 iterations
  # weights:  4 (3 variable)
  initial  value 138.629436 
  iter  10 value 0.097335
  iter  20 value 0.008928
  iter  30 value 0.003213
  iter  40 value 0.002454
  iter  50 value 0.002153
  iter  60 value 0.001766
  iter  70 value 0.001529
  iter  80 value 0.001283
  iter  90 value 0.001169
  iter 100 value 0.000964
  final  value 0.000964 
  stopped after 100 iterations
  # weights:  4 (3 variable)
  initial  value 138.629436 
  iter  10 value 0.097335
  iter  20 value 0.008928
  iter  30 value 0.003213
  iter  40 value 0.002454
  iter  50 value 0.002153
  iter  60 value 0.001766
  iter  70 value 0.001529
  iter  80 value 0.001283
  iter  90 value 0.001169
  iter 100 value 0.000964
  final  value 0.000964 
  stopped after 100 iterations
  # weights:  4 (3 variable)
  initial  value 138.629436 
  iter  10 value 0.097335
  iter  20 value 0.008928
  iter  30 value 0.003213
  iter  40 value 0.002454
  iter  50 value 0.002153
  iter  60 value 0.001766
  iter  70 value 0.001529
  iter  80 value 0.001283
  iter  90 value 0.001169
  iter 100 value 0.000964
  final  value 0.000964 
  stopped after 100 iterations
  # weights:  18 (10 variable)
  initial  value 164.791843 
  iter  10 value 16.177348
  iter  20 value 7.111438
  iter  30 value 6.182999
  iter  40 value 5.984028
  iter  50 value 5.961278
  iter  60 value 5.954900
  iter  70 value 5.951851
  iter  80 value 5.950343
  iter  90 value 5.949904
  iter 100 value 5.949867
  final  value 5.949867 
  stopped after 100 iterations
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 9.665974e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.953728 
    - variance bounds :  0.09453089 9.665974 
    - best initial criterion value(s) :  -189.1807 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       189.18  |proj g|=       8.8791
  At iterate     1  f =       105.11  |proj g|=        2.3329
  At iterate     2  f =       70.587  |proj g|=         1.179
  ys=-2.263e+01  -gs= 1.958e+01, BFGS update SKIPPED
  At iterate     3  f =        69.96  |proj g|=        1.0357
  At iterate     4  f =       69.595  |proj g|=       0.35032
  At iterate     5  f =       69.593  |proj g|=        0.1556
  At iterate     6  f =       69.593  |proj g|=     0.0042097
  At iterate     7  f =       69.593  |proj g|=    4.8937e-05
  At iterate     8  f =       69.593  |proj g|=    1.5618e-08
  
  iterations 8
  function evaluations 26
  segments explored during Cauchy searches 11
  BFGS updates skipped 1
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 1.5618e-08
  final function value 69.5925
  
  F = 69.5925
  final  value 69.592530 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 9.665974e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.953728 
    - variance bounds :  0.09453089 9.665974 
    - best initial criterion value(s) :  -189.1807 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       189.18  |proj g|=       8.8791
  At iterate     1  f =       105.11  |proj g|=        2.3329
  At iterate     2  f =       70.587  |proj g|=         1.179
  ys=-2.263e+01  -gs= 1.958e+01, BFGS update SKIPPED
  At iterate     3  f =        69.96  |proj g|=        1.0357
  At iterate     4  f =       69.595  |proj g|=       0.35032
  At iterate     5  f =       69.593  |proj g|=        0.1556
  At iterate     6  f =       69.593  |proj g|=     0.0042097
  At iterate     7  f =       69.593  |proj g|=    4.8937e-05
  At iterate     8  f =       69.593  |proj g|=    1.5618e-08
  
  iterations 8
  function evaluations 26
  segments explored during Cauchy searches 11
  BFGS updates skipped 1
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 1.5618e-08
  final function value 69.5925
  
  F = 69.5925
  final  value 69.592530 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 9.665974e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.953728 
    - variance bounds :  0.09453089 9.665974 
    - best initial criterion value(s) :  -7128.39 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       7128.4  |proj g|=       8.9121
  At iterate     1  f =       105.11  |proj g|=        2.3329
  At iterate     2  f =        71.04  |proj g|=        1.2642
  ys=-2.691e+01  -gs= 1.938e+01, BFGS update SKIPPED
  At iterate     3  f =       70.535  |proj g|=        1.1686
  At iterate     4  f =       69.629  |proj g|=       0.90577
  At iterate     5  f =       69.593  |proj g|=       0.13333
  At iterate     6  f =       69.593  |proj g|=      0.015565
  At iterate     7  f =       69.593  |proj g|=    0.00015905
  At iterate     8  f =       69.593  |proj g|=    1.8734e-07
  
  iterations 8
  function evaluations 32
  segments explored during Cauchy searches 11
  BFGS updates skipped 1
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 1.8734e-07
  final function value 69.5925
  
  F = 69.5925
  final  value 69.592530 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 9.665974e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.953728 
    - variance bounds :  0.09453089 9.665974 
    - best initial criterion value(s) :  -7128.39 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       7128.4  |proj g|=       8.9121
  At iterate     1  f =       105.11  |proj g|=        2.3329
  At iterate     2  f =        71.04  |proj g|=        1.2642
  ys=-2.691e+01  -gs= 1.938e+01, BFGS update SKIPPED
  At iterate     3  f =       70.535  |proj g|=        1.1686
  At iterate     4  f =       69.629  |proj g|=       0.90577
  At iterate     5  f =       69.593  |proj g|=       0.13333
  At iterate     6  f =       69.593  |proj g|=      0.015565
  At iterate     7  f =       69.593  |proj g|=    0.00015905
  At iterate     8  f =       69.593  |proj g|=    1.8734e-07
  
  iterations 8
  function evaluations 32
  segments explored during Cauchy searches 11
  BFGS updates skipped 1
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 1.8734e-07
  final function value 69.5925
  
  F = 69.5925
  final  value 69.592530 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 9.665974e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.953728 
    - variance bounds :  0.09453089 9.665974 
    - best initial criterion value(s) :  -71.31475 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       71.315  |proj g|=        1.269
  At iterate     1  f =       69.601  |proj g|=       0.44554
  At iterate     2  f =       69.593  |proj g|=       0.17752
  At iterate     3  f =       69.593  |proj g|=    0.00052409
  At iterate     4  f =       69.593  |proj g|=    7.1718e-06
  
  iterations 4
  function evaluations 7
  segments explored during Cauchy searches 7
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 1
  norm of the final projected gradient 7.1718e-06
  final function value 69.5925
  
  F = 69.5925
  final  value 69.592530 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 9.665974e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.953728 
    - variance bounds :  0.09453089 9.665974 
    - best initial criterion value(s) :  -15610.9 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=        15611  |proj g|=       8.9387
  At iterate     1  f =       105.11  |proj g|=        2.3329
  At iterate     2  f =       69.729  |proj g|=         0.959
  ys=-5.217e-01  -gs= 2.009e+01, BFGS update SKIPPED
  At iterate     3  f =       69.658  |proj g|=       0.92449
  At iterate     4  f =       69.597  |proj g|=       0.51395
  At iterate     5  f =       69.593  |proj g|=      0.076545
  At iterate     6  f =       69.593  |proj g|=     0.0028636
  At iterate     7  f =       69.593  |proj g|=    1.6737e-05
  
  iterations 7
  function evaluations 27
  segments explored during Cauchy searches 10
  BFGS updates skipped 1
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 1.67368e-05
  final function value 69.5925
  
  F = 69.5925
  final  value 69.592530 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 3.435024e-07 
    - parameters lower bounds :  1e-10 1e-10 
    - parameters upper bounds :  1.880582 44.27959 
    - variance bounds :  3.435024 622.0591 
    - best initial criterion value(s) :  -5428.776 
  
  N = 3, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       5428.8  |proj g|=         84.1
  At iterate     1  f =       353.14  |proj g|=       0.26068
  At iterate     2  f =       318.49  |proj g|=       0.17411
  At iterate     3  f =       318.31  |proj g|=      0.082682
  At iterate     4  f =       318.23  |proj g|=      0.017254
  At iterate     5  f =       318.22  |proj g|=     0.0023426
  At iterate     6  f =       318.22  |proj g|=    5.6419e-05
  At iterate     7  f =       318.22  |proj g|=    1.7909e-07
  
  iterations 7
  function evaluations 18
  segments explored during Cauchy searches 9
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 2
  norm of the final projected gradient 1.79089e-07
  final function value 318.222
  
  F = 318.222
  final  value 318.221782 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 3.435024e-07 
    - parameters lower bounds :  1e-10 1e-10 
    - parameters upper bounds :  1.880582 44.27959 
    - variance bounds :  3.435024 622.0591 
    - best initial criterion value(s) :  -257.1864 
  
  N = 3, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       257.19  |proj g|=       5.3252
  At iterate     1  f =       254.23  |proj g|=        2.0573
  At iterate     2  f =        253.5  |proj g|=        1.9933
  At iterate     3  f =       252.87  |proj g|=        1.9258
  At iterate     4  f =       252.42  |proj g|=       0.65795
  At iterate     5  f =       252.41  |proj g|=       0.20477
  At iterate     6  f =       252.41  |proj g|=       0.20575
  At iterate     7  f =       252.41  |proj g|=       0.43038
  At iterate     8  f =       252.41  |proj g|=       0.93181
  At iterate     9  f =       252.41  |proj g|=        1.6878
  At iterate    10  f =       252.41  |proj g|=        1.6882
  At iterate    11  f =        252.4  |proj g|=        1.6888
  At iterate    12  f =       252.39  |proj g|=        1.6897
  At iterate    13  f =       252.36  |proj g|=         2.077
  At iterate    14  f =       252.28  |proj g|=        3.6635
  At iterate    15  f =       252.14  |proj g|=        5.7903
  At iterate    16  f =       251.76  |proj g|=        6.5333
  At iterate    17  f =       251.27  |proj g|=        6.2126
  At iterate    18  f =       250.78  |proj g|=        5.7991
  At iterate    19  f =       249.37  |proj g|=        1.9056
  At iterate    20  f =          248  |proj g|=        5.0573
  At iterate    21  f =       244.33  |proj g|=        9.5211
  At iterate    22  f =       243.66  |proj g|=        6.8752
  At iterate    23  f =        243.3  |proj g|=        1.7313
  At iterate    24  f =       243.27  |proj g|=       0.67809
  At iterate    25  f =       243.26  |proj g|=       0.10659
  At iterate    26  f =       243.26  |proj g|=     0.0064569
  At iterate    27  f =       243.26  |proj g|=     0.0027829
  
  iterations 27
  function evaluations 35
  segments explored during Cauchy searches 28
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 0
  norm of the final projected gradient 0.0027829
  final function value 243.264
  
  F = 243.264
  final  value 243.264413 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 3.435024e-07 
    - parameters lower bounds :  1e-10 1e-10 
    - parameters upper bounds :  1.880582 44.27959 
    - variance bounds :  3.435024 622.0591 
    - best initial criterion value(s) :  -3595.945 
  
  N = 3, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       3595.9  |proj g|=       49.227
  At iterate     1  f =       345.37  |proj g|=       0.29895
  At iterate     2  f =       318.46  |proj g|=       0.12629
  At iterate     3  f =       318.22  |proj g|=      0.013177
  Nonpositive definiteness in Cholesky factorization in formk;
     refresh the lbfgs memory and restart the iteration.
  At iterate     4  f =       318.22  |proj g|=       0.01042
  At iterate     5  f =       318.22  |proj g|=    0.00019457
  At iterate     6  f =       318.22  |proj g|=    2.8066e-06
  
  iterations 6
  function evaluations 22
  segments explored during Cauchy searches 10
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 2
  norm of the final projected gradient 2.80663e-06
  final function value 318.222
  
  F = 318.222
  final  value 318.221782 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 3.435024e-07 
    - parameters lower bounds :  1e-10 1e-10 
    - parameters upper bounds :  1.880582 44.27959 
    - variance bounds :  3.435024 622.0591 
    - best initial criterion value(s) :  -441.4761 
  
  N = 3, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       441.48  |proj g|=       3.4285
  At iterate     1  f =       327.92  |proj g|=       0.36757
  At iterate     2  f =       318.57  |proj g|=       0.14806
  At iterate     3  f =       318.22  |proj g|=     0.0040757
  At iterate     4  f =       318.22  |proj g|=     0.0011021
  At iterate     5  f =       318.22  |proj g|=    6.0793e-06
  At iterate     6  f =       318.22  |proj g|=    9.1309e-09
  
  iterations 6
  function evaluations 15
  segments explored during Cauchy searches 8
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 2
  norm of the final projected gradient 9.13087e-09
  final function value 318.222
  
  F = 318.222
  final  value 318.221782 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 9.203877e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.889885 
    - variance bounds :  0.08787646 9.203877 
    - best initial criterion value(s) :  -2816040 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=    2.816e+06  |proj g|=       8.3436
  At iterate     1  f =       103.89  |proj g|=        2.4501
  At iterate     2  f =       69.657  |proj g|=        1.1785
  ys=-2.564e+01  -gs= 1.945e+01, BFGS update SKIPPED
  At iterate     3  f =       68.953  |proj g|=         1.041
  At iterate     4  f =        68.38  |proj g|=       0.82222
  At iterate     5  f =       68.372  |proj g|=       0.52558
  At iterate     6  f =       68.368  |proj g|=        0.0321
  At iterate     7  f =       68.368  |proj g|=     0.0011658
  At iterate     8  f =       68.368  |proj g|=    2.7086e-06
  
  iterations 8
  function evaluations 36
  segments explored during Cauchy searches 11
  BFGS updates skipped 1
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 2.70855e-06
  final function value 68.3679
  
  F = 68.3679
  final  value 68.367851 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 9.203877e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.889885 
    - variance bounds :  0.08787646 9.203877 
    - best initial criterion value(s) :  -2816040 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=    2.816e+06  |proj g|=       8.3436
  At iterate     1  f =       103.89  |proj g|=        2.4501
  At iterate     2  f =       69.657  |proj g|=        1.1785
  ys=-2.564e+01  -gs= 1.945e+01, BFGS update SKIPPED
  At iterate     3  f =       68.953  |proj g|=         1.041
  At iterate     4  f =        68.38  |proj g|=       0.82222
  At iterate     5  f =       68.372  |proj g|=       0.52558
  At iterate     6  f =       68.368  |proj g|=        0.0321
  At iterate     7  f =       68.368  |proj g|=     0.0011658
  At iterate     8  f =       68.368  |proj g|=    2.7086e-06
  
  iterations 8
  function evaluations 36
  segments explored during Cauchy searches 11
  BFGS updates skipped 1
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 2.70855e-06
  final function value 68.3679
  
  F = 68.3679
  final  value 68.367851 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 9.203877e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.889885 
    - variance bounds :  0.08787646 9.203877 
    - best initial criterion value(s) :  -245026.1 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=   2.4503e+05  |proj g|=       8.0202
  At iterate     1  f =       103.89  |proj g|=        2.4501
  At iterate     2  f =       69.155  |proj g|=        1.0842
  ys=-1.980e+01  -gs= 1.968e+01, BFGS update SKIPPED
  At iterate     3  f =       68.606  |proj g|=       0.95102
  At iterate     4  f =       68.383  |proj g|=       0.84606
  At iterate     5  f =        68.37  |proj g|=       0.33566
  At iterate     6  f =       68.368  |proj g|=      0.023448
  At iterate     7  f =       68.368  |proj g|=    0.00055245
  At iterate     8  f =       68.368  |proj g|=    9.3677e-07
  
  iterations 8
  function evaluations 32
  segments explored during Cauchy searches 11
  BFGS updates skipped 1
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 9.36768e-07
  final function value 68.3679
  
  F = 68.3679
  final  value 68.367851 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 9.203877e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.889885 
    - variance bounds :  0.08787646 9.203877 
    - best initial criterion value(s) :  -245026.1 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=   2.4503e+05  |proj g|=       8.0202
  At iterate     1  f =       103.89  |proj g|=        2.4501
  At iterate     2  f =       69.155  |proj g|=        1.0842
  ys=-1.980e+01  -gs= 1.968e+01, BFGS update SKIPPED
  At iterate     3  f =       68.606  |proj g|=       0.95102
  At iterate     4  f =       68.383  |proj g|=       0.84606
  At iterate     5  f =        68.37  |proj g|=       0.33566
  At iterate     6  f =       68.368  |proj g|=      0.023448
  At iterate     7  f =       68.368  |proj g|=    0.00055245
  At iterate     8  f =       68.368  |proj g|=    9.3677e-07
  
  iterations 8
  function evaluations 32
  segments explored during Cauchy searches 11
  BFGS updates skipped 1
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 9.36768e-07
  final function value 68.3679
  
  F = 68.3679
  final  value 68.367851 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 9.203877e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.889885 
    - variance bounds :  0.08787646 9.203877 
    - best initial criterion value(s) :  -846.2012 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=        846.2  |proj g|=       8.3487
  At iterate     1  f =       103.89  |proj g|=        2.4501
  At iterate     2  f =       68.722  |proj g|=       0.98474
  ys=-1.023e+01  -gs= 1.992e+01, BFGS update SKIPPED
  At iterate     3  f =       68.625  |proj g|=       0.95683
  At iterate     4  f =        68.44  |proj g|=        2.3336
  At iterate     5  f =       68.375  |proj g|=       0.62525
  At iterate     6  f =       68.368  |proj g|=       0.09183
  At iterate     7  f =       68.368  |proj g|=      0.004431
  At iterate     8  f =       68.368  |proj g|=    2.9594e-05
  At iterate     9  f =       68.368  |proj g|=    9.4585e-09
  
  iterations 9
  function evaluations 27
  segments explored during Cauchy searches 12
  BFGS updates skipped 1
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 9.45851e-09
  final function value 68.3679
  
  F = 68.3679
  final  value 68.367851 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 9.203877e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.889885 
    - variance bounds :  0.08787646 9.203877 
    - best initial criterion value(s) :  -10526.78 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=        10527  |proj g|=       8.3366
  At iterate     1  f =       103.89  |proj g|=        2.4501
  At iterate     2  f =        68.49  |proj g|=       0.90962
  At iterate     3  f =       68.369  |proj g|=        0.2521
  Nonpositive definiteness in Cholesky factorization in formk;
     refresh the lbfgs memory and restart the iteration.
  At iterate     4  f =       68.368  |proj g|=      0.011359
  At iterate     5  f =       68.368  |proj g|=    0.00021168
  At iterate     6  f =       68.368  |proj g|=    1.7369e-07
  
  iterations 6
  function evaluations 25
  segments explored during Cauchy searches 11
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 1.73687e-07
  final function value 68.3679
  
  F = 68.3679
  final  value 68.367851 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 3.435024e-07 
    - parameters lower bounds :  1e-10 1e-10 
    - parameters upper bounds :  1.880582 44.27959 
    - variance bounds :  3.435024 622.0591 
    - best initial criterion value(s) :  -537.6532 
  
  N = 3, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       537.65  |proj g|=       15.139
  At iterate     1  f =       328.51  |proj g|=       0.36735
  At iterate     2  f =       318.31  |proj g|=      0.079047
  At iterate     3  f =       318.22  |proj g|=      0.007562
  At iterate     4  f =       318.22  |proj g|=     0.0009558
  At iterate     5  f =       318.22  |proj g|=    9.9436e-06
  At iterate     6  f =       318.22  |proj g|=    1.2907e-08
  
  iterations 6
  function evaluations 20
  segments explored during Cauchy searches 8
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 2
  norm of the final projected gradient 1.29074e-08
  final function value 318.222
  
  F = 318.222
  final  value 318.221782 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 3.435024e-07 
    - parameters lower bounds :  1e-10 1e-10 
    - parameters upper bounds :  1.880582 44.27959 
    - variance bounds :  3.435024 622.0591 
    - best initial criterion value(s) :  -316.8545 
  
  N = 3, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       316.85  |proj g|=       44.233
  At iterate     1  f =       288.36  |proj g|=       0.61221
  At iterate     2  f =       271.02  |proj g|=        42.502
  At iterate     3  f =       267.64  |proj g|=        35.752
  At iterate     4  f =       260.31  |proj g|=        9.1647
  At iterate     5  f =       252.76  |proj g|=        10.353
  At iterate     6  f =       251.23  |proj g|=        5.8652
  At iterate     7  f =       250.93  |proj g|=        1.6925
  At iterate     8  f =       250.92  |proj g|=       0.21868
  At iterate     9  f =       250.92  |proj g|=       0.21901
  At iterate    10  f =       250.92  |proj g|=       0.21918
  At iterate    11  f =       250.92  |proj g|=       0.66457
  At iterate    12  f =       250.92  |proj g|=        1.3489
  At iterate    13  f =       250.92  |proj g|=        1.6928
  At iterate    14  f =       250.92  |proj g|=        1.6933
  At iterate    15  f =       250.92  |proj g|=        1.6942
  At iterate    16  f =        250.9  |proj g|=        1.6958
  At iterate    17  f =       250.87  |proj g|=        1.6984
  At iterate    18  f =        250.8  |proj g|=         1.702
  At iterate    19  f =       250.69  |proj g|=        1.8108
  At iterate    20  f =       250.54  |proj g|=        1.8321
  At iterate    21  f =       250.37  |proj g|=        1.8442
  At iterate    22  f =       250.17  |proj g|=         1.841
  At iterate    23  f =       249.38  |proj g|=        1.8073
  At iterate    24  f =       248.19  |proj g|=        1.7144
  At iterate    25  f =        246.3  |proj g|=        1.5645
  At iterate    26  f =       244.09  |proj g|=        5.7035
  At iterate    27  f =       243.44  |proj g|=       0.59715
  At iterate    28  f =        243.3  |proj g|=       0.95523
  At iterate    29  f =       243.27  |proj g|=        1.7288
  At iterate    30  f =       243.26  |proj g|=       0.23498
  At iterate    31  f =       243.26  |proj g|=      0.011528
  At iterate    32  f =       243.26  |proj g|=      0.017036
  At iterate    33  f =       243.26  |proj g|=     0.0072225
  
  iterations 33
  function evaluations 41
  segments explored during Cauchy searches 35
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 0
  norm of the final projected gradient 0.00722251
  final function value 243.264
  
  F = 243.264
  final  value 243.264413 
  converged
  [ FAIL 2 | WARN 227 | SKIP 4 | PASS 547 ]
  
  == Skipped tests (4) ===========================================================
  * On CRAN (4): 'test_classif_nnet.R:2:1', 'test_classif_xgboost.R:2:1',
    'test_regr_nnet.R:2:1', 'test_regr_xgboost.R:2:1'
  
  == Failed tests ================================================================
  -- Failure ('test_classif_ranger.R:8:3'): autotest -----------------------------
  `result` is not TRUE
  
  `actual` is a list
  `expected` is a logical vector (TRUE)
  [train()] learner 'classif.ranger:response' on task 'missings_binary' failed: Error : Missing data in columns: character, factor, integer, logical, numeric, ordered.
  
  -- Failure ('test_regr_ranger.R:7:3'): autotest --------------------------------
  `result` is not TRUE
  
  `actual` is a list
  `expected` is a logical vector (TRUE)
  [train()] learner 'regr.ranger:response' on task 'missings' failed: Error : Missing data in columns: character, factor, integer, logical, numeric, ordered.
  
  
  [ FAIL 2 | WARN 227 | SKIP 4 | PASS 547 ]
  Error: Test failures
  Execution halted
* checking PDF version of manual ... OK
* DONE

Status: 1 ERROR
See
  '/tmp/th798/17291122/R-devel/847/mlr3learners.Rcheck/00check.log'
for details.

[1] "2025-05-17 00:45:09 MST"
> system(paste(c("diff -u", Rcheck.list), collapse=" "))
--- R_Under_development_unstable_2025-05-16_r88213/release_1.17.2.Rcheck/00check.log	2025-05-17 00:36:19.012251591 -0700
+++ R_Under_development_unstable_2025-05-16_r88213/master_1.17.99.c4ea09e099b1833fae0eacb50552bce6f051ed82.Rcheck/00check.log	2025-05-17 00:45:09.345069622 -0700
@@ -49,7 +49,7 @@
 * checking examples ... OK
 Examples with CPU (user + system) or elapsed time > 5s
                                  user system elapsed
-mlr_learners_classif.cv_glmnet 27.712  0.118  28.509
+mlr_learners_classif.cv_glmnet 28.485  0.098  28.835
 * checking for unstated dependencies in 'tests' ... OK
 * checking tests ... ERROR
   Running 'testthat.R'
@@ -63,105 +63,97 @@
   Loading required package: mlr3
   # weights:  3 (2 variable)
   initial  value 20.794415 
-  final  value 20.727699 
+  final  value 20.190350 
   converged
   # weights:  3 (2 variable)
   initial  value 20.794415 
-  final  value 20.727699 
+  final  value 20.190350 
   converged
   # weights:  3 (2 variable)
   initial  value 20.794415 
-  final  value 19.148758 
+  final  value 19.880405 
   converged
   # weights:  3 (2 variable)
   initial  value 20.794415 
-  final  value 19.148758 
+  final  value 19.880405 
   converged
   # weights:  3 (2 variable)
   initial  value 20.794415 
-  final  value 19.602943 
+  final  value 20.627915 
   converged
   # weights:  3 (2 variable)
   initial  value 20.794415 
-  final  value 19.602943 
+  final  value 20.627915 
   converged
   # weights:  3 (2 variable)
   initial  value 20.794415 
-  final  value 17.397455 
+  final  value 20.190350 
   converged
   # weights:  3 (2 variable)
   initial  value 20.794415 
-  final  value 17.397455 
+  final  value 20.190350 
   converged
   # weights:  6 (5 variable)
   initial  value 20.794415 
-  iter  10 value 14.852867
-  final  value 14.852864 
+  final  value 18.548680 
   converged
   # weights:  6 (5 variable)
   initial  value 20.794415 
-  iter  10 value 14.852867
-  final  value 14.852864 
+  final  value 18.548680 
   converged
   # weights:  6 (5 variable)
   initial  value 20.794415 
-  iter  10 value 14.852867
-  final  value 14.852864 
+  final  value 18.548680 
   converged
   # weights:  6 (5 variable)
   initial  value 20.794415 
-  iter  10 value 14.852867
-  final  value 14.852864 
+  final  value 18.548680 
   converged
   # weights:  6 (5 variable)
-  initial  value 10.657033 
-  iter  10 value 6.015732
-  iter  20 value 6.014878
-  iter  20 value 6.014878
-  iter  20 value 6.014878
-  final  value 6.014878 
+  initial  value 9.288920 
+  iter  10 value 6.477918
+  final  value 6.477768 
   converged
   # weights:  6 (5 variable)
-  initial  value 10.657033 
-  iter  10 value 6.015732
-  iter  20 value 6.014878
-  iter  20 value 6.014878
-  iter  20 value 6.014878
-  final  value 6.014878 
+  initial  value 9.288920 
+  iter  10 value 6.477918
+  final  value 6.477768 
   converged
   # weights:  6 (5 variable)
   initial  value 20.794415 
-  iter  10 value 14.852867
-  final  value 14.852864 
+  final  value 18.548680 
   converged
   # weights:  6 (5 variable)
   initial  value 20.794415 
-  iter  10 value 14.852867
-  final  value 14.852864 
+  final  value 18.548680 
   converged
   # weights:  9 (4 variable)
   initial  value 32.958369 
-  final  value 32.555658 
+  final  value 31.732830 
   converged
   # weights:  9 (4 variable)
   initial  value 32.958369 
-  final  value 32.555658 
+  final  value 31.732830 
   converged
   # weights:  9 (4 variable)
   initial  value 32.958369 
-  final  value 30.921052 
+  final  value 32.350660 
   converged
   # weights:  9 (4 variable)
   initial  value 32.958369 
-  final  value 30.921052 
+  final  value 32.350660 
   converged
   # weights:  9 (4 variable)
   initial  value 32.958369 
-  final  value 31.771057 
+  iter  10 value 32.896648
+  iter  10 value 32.896648
+  final  value 32.896648 
   converged
   # weights:  9 (4 variable)
   initial  value 32.958369 
-  final  value 31.771057 
+  iter  10 value 32.896648
+  iter  10 value 32.896648
+  final  value 32.896648 
   converged
   # weights:  9 (4 variable)
   initial  value 32.958369 
@@ -173,45 +165,43 @@
   converged
   # weights:  18 (10 variable)
   initial  value 32.958369 
-  iter  10 value 28.827802
-  final  value 28.827207 
+  iter  10 value 31.100134
+  final  value 31.098186 
   converged
   # weights:  18 (10 variable)
   initial  value 32.958369 
-  iter  10 value 28.827802
-  final  value 28.827207 
+  iter  10 value 31.100134
+  final  value 31.098186 
   converged
   # weights:  18 (10 variable)
   initial  value 32.958369 
-  iter  10 value 28.827802
-  final  value 28.827207 
+  iter  10 value 31.100134
+  final  value 31.098186 
   converged
   # weights:  18 (10 variable)
   initial  value 32.958369 
-  iter  10 value 28.827802
-  final  value 28.827207 
+  iter  10 value 31.100134
+  final  value 31.098186 
   converged
   # weights:  18 (10 variable)
-  initial  value 16.926817 
-  iter  10 value 13.480584
-  iter  20 value 13.459346
-  final  value 13.459342 
+  initial  value 14.307715 
+  iter  10 value 12.823269
+  final  value 12.808562 
   converged
   # weights:  18 (10 variable)
-  initial  value 16.926817 
-  iter  10 value 13.480584
-  iter  20 value 13.459346
-  final  value 13.459342 
+  initial  value 14.307715 
+  iter  10 value 12.823269
+  final  value 12.808562 
   converged
   # weights:  18 (10 variable)
   initial  value 32.958369 
-  iter  10 value 28.827802
-  final  value 28.827207 
+  iter  10 value 31.100134
+  final  value 31.098186 
   converged
   # weights:  18 (10 variable)
   initial  value 32.958369 
-  iter  10 value 28.827802
-  final  value 28.827207 
+  iter  10 value 31.100134
+  final  value 31.098186 
   converged
   # weights:  4 (3 variable)
   initial  value 138.629436 
@@ -320,32 +310,35 @@
   * trend model : ~1
   * covariance model : 
     - type :  matern5_2 
-    - nugget : 1.822265e-08 
+    - nugget : 9.665974e-09 
     - parameters lower bounds :  1e-10 1e-10 1e-10 
-    - parameters upper bounds :  4 2 1.947064 
-    - variance bounds :  0.1781893 18.22265 
-    - best initial criterion value(s) :  -2059338 
+    - parameters upper bounds :  4 2 1.953728 
+    - variance bounds :  0.09453089 9.665974 
+    - best initial criterion value(s) :  -189.1807 
   
   N = 4, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=   2.0593e+06  |proj g|=       17.206
-  At iterate     1  f =       120.96  |proj g|=        1.2375
-  At iterate     2  f =       85.608  |proj g|=        1.8641
-  At iterate     3  f =       85.447  |proj g|=       0.21083
-  At iterate     4  f =       85.444  |proj g|=      0.043795
-  At iterate     5  f =       85.444  |proj g|=     0.0013821
-  At iterate     6  f =       85.444  |proj g|=    8.7139e-06
+  At iterate     0  f=       189.18  |proj g|=       8.8791
+  At iterate     1  f =       105.11  |proj g|=        2.3329
+  At iterate     2  f =       70.587  |proj g|=         1.179
+  ys=-2.263e+01  -gs= 1.958e+01, BFGS update SKIPPED
+  At iterate     3  f =        69.96  |proj g|=        1.0357
+  At iterate     4  f =       69.595  |proj g|=       0.35032
+  At iterate     5  f =       69.593  |proj g|=        0.1556
+  At iterate     6  f =       69.593  |proj g|=     0.0042097
+  At iterate     7  f =       69.593  |proj g|=    4.8937e-05
+  At iterate     8  f =       69.593  |proj g|=    1.5618e-08
   
-  iterations 6
+  iterations 8
   function evaluations 26
-  segments explored during Cauchy searches 9
-  BFGS updates skipped 0
-  active bounds at final generalized Cauchy point 2
-  norm of the final projected gradient 8.7139e-06
-  final function value 85.4439
+  segments explored during Cauchy searches 11
+  BFGS updates skipped 1
+  active bounds at final generalized Cauchy point 3
+  norm of the final projected gradient 1.5618e-08
+  final function value 69.5925
   
-  F = 85.4439
-  final  value 85.443866 
+  F = 69.5925
+  final  value 69.592530 
   converged
   
   optimisation start
@@ -356,32 +349,35 @@
   * trend model : ~1
   * covariance model : 
     - type :  matern5_2 
-    - nugget : 1.822265e-08 
+    - nugget : 9.665974e-09 
     - parameters lower bounds :  1e-10 1e-10 1e-10 
-    - parameters upper bounds :  4 2 1.947064 
-    - variance bounds :  0.1781893 18.22265 
-    - best initial criterion value(s) :  -2059338 
+    - parameters upper bounds :  4 2 1.953728 
+    - variance bounds :  0.09453089 9.665974 
+    - best initial criterion value(s) :  -189.1807 
   
   N = 4, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=   2.0593e+06  |proj g|=       17.206
-  At iterate     1  f =       120.96  |proj g|=        1.2375
-  At iterate     2  f =       85.608  |proj g|=        1.8641
-  At iterate     3  f =       85.447  |proj g|=       0.21083
-  At iterate     4  f =       85.444  |proj g|=      0.043795
-  At iterate     5  f =       85.444  |proj g|=     0.0013821
-  At iterate     6  f =       85.444  |proj g|=    8.7139e-06
+  At iterate     0  f=       189.18  |proj g|=       8.8791
+  At iterate     1  f =       105.11  |proj g|=        2.3329
+  At iterate     2  f =       70.587  |proj g|=         1.179
+  ys=-2.263e+01  -gs= 1.958e+01, BFGS update SKIPPED
+  At iterate     3  f =        69.96  |proj g|=        1.0357
+  At iterate     4  f =       69.595  |proj g|=       0.35032
+  At iterate     5  f =       69.593  |proj g|=        0.1556
+  At iterate     6  f =       69.593  |proj g|=     0.0042097
+  At iterate     7  f =       69.593  |proj g|=    4.8937e-05
+  At iterate     8  f =       69.593  |proj g|=    1.5618e-08
   
-  iterations 6
+  iterations 8
   function evaluations 26
-  segments explored during Cauchy searches 9
-  BFGS updates skipped 0
-  active bounds at final generalized Cauchy point 2
-  norm of the final projected gradient 8.7139e-06
-  final function value 85.4439
+  segments explored during Cauchy searches 11
+  BFGS updates skipped 1
+  active bounds at final generalized Cauchy point 3
+  norm of the final projected gradient 1.5618e-08
+  final function value 69.5925
   
-  F = 85.4439
-  final  value 85.443866 
+  F = 69.5925
+  final  value 69.592530 
   converged
   
   optimisation start
@@ -392,35 +388,35 @@
   * trend model : ~1
   * covariance model : 
     - type :  matern5_2 
-    - nugget : 1.822265e-08 
+    - nugget : 9.665974e-09 
     - parameters lower bounds :  1e-10 1e-10 1e-10 
-    - parameters upper bounds :  4 2 1.947064 
-    - variance bounds :  0.1781893 18.22265 
-    - best initial criterion value(s) :  -200343.5 
+    - parameters upper bounds :  4 2 1.953728 
+    - variance bounds :  0.09453089 9.665974 
+    - best initial criterion value(s) :  -7128.39 
   
   N = 4, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=   2.0034e+05  |proj g|=       16.094
-  At iterate     1  f =       120.96  |proj g|=        1.2375
-  At iterate     2  f =       86.064  |proj g|=        2.0726
-  ys=-1.688e+01  -gs= 1.976e+01, BFGS update SKIPPED
-  At iterate     3  f =       85.594  |proj g|=        1.3242
-  At iterate     4  f =       85.448  |proj g|=       0.24448
-  At iterate     5  f =       85.444  |proj g|=      0.064774
-  At iterate     6  f =       85.444  |proj g|=     0.0023384
-  At iterate     7  f =       85.444  |proj g|=    2.1401e-05
-  At iterate     8  f =       85.444  |proj g|=    7.1523e-09
+  At iterate     0  f=       7128.4  |proj g|=       8.9121
+  At iterate     1  f =       105.11  |proj g|=        2.3329
+  At iterate     2  f =        71.04  |proj g|=        1.2642
+  ys=-2.691e+01  -gs= 1.938e+01, BFGS update SKIPPED
+  At iterate     3  f =       70.535  |proj g|=        1.1686
+  At iterate     4  f =       69.629  |proj g|=       0.90577
+  At iterate     5  f =       69.593  |proj g|=       0.13333
+  At iterate     6  f =       69.593  |proj g|=      0.015565
+  At iterate     7  f =       69.593  |proj g|=    0.00015905
+  At iterate     8  f =       69.593  |proj g|=    1.8734e-07
   
   iterations 8
-  function evaluations 36
+  function evaluations 32
   segments explored during Cauchy searches 11
   BFGS updates skipped 1
   active bounds at final generalized Cauchy point 3
-  norm of the final projected gradient 7.15234e-09
-  final function value 85.4439
+  norm of the final projected gradient 1.8734e-07
+  final function value 69.5925
   
-  F = 85.4439
-  final  value 85.443866 
+  F = 69.5925
+  final  value 69.592530 
   converged
   
   optimisation start
@@ -431,35 +427,35 @@
   * trend model : ~1
   * covariance model : 
     - type :  matern5_2 
-    - nugget : 1.822265e-08 
+    - nugget : 9.665974e-09 
     - parameters lower bounds :  1e-10 1e-10 1e-10 
-    - parameters upper bounds :  4 2 1.947064 
-    - variance bounds :  0.1781893 18.22265 
-    - best initial criterion value(s) :  -200343.5 
+    - parameters upper bounds :  4 2 1.953728 
+    - variance bounds :  0.09453089 9.665974 
+    - best initial criterion value(s) :  -7128.39 
   
   N = 4, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=   2.0034e+05  |proj g|=       16.094
-  At iterate     1  f =       120.96  |proj g|=        1.2375
-  At iterate     2  f =       86.064  |proj g|=        2.0726
-  ys=-1.688e+01  -gs= 1.976e+01, BFGS update SKIPPED
-  At iterate     3  f =       85.594  |proj g|=        1.3242
-  At iterate     4  f =       85.448  |proj g|=       0.24448
-  At iterate     5  f =       85.444  |proj g|=      0.064774
-  At iterate     6  f =       85.444  |proj g|=     0.0023384
-  At iterate     7  f =       85.444  |proj g|=    2.1401e-05
-  At iterate     8  f =       85.444  |proj g|=    7.1523e-09
+  At iterate     0  f=       7128.4  |proj g|=       8.9121
+  At iterate     1  f =       105.11  |proj g|=        2.3329
+  At iterate     2  f =        71.04  |proj g|=        1.2642
+  ys=-2.691e+01  -gs= 1.938e+01, BFGS update SKIPPED
+  At iterate     3  f =       70.535  |proj g|=        1.1686
+  At iterate     4  f =       69.629  |proj g|=       0.90577
+  At iterate     5  f =       69.593  |proj g|=       0.13333
+  At iterate     6  f =       69.593  |proj g|=      0.015565
+  At iterate     7  f =       69.593  |proj g|=    0.00015905
+  At iterate     8  f =       69.593  |proj g|=    1.8734e-07
   
   iterations 8
-  function evaluations 36
+  function evaluations 32
   segments explored during Cauchy searches 11
   BFGS updates skipped 1
   active bounds at final generalized Cauchy point 3
-  norm of the final projected gradient 7.15234e-09
-  final function value 85.4439
+  norm of the final projected gradient 1.8734e-07
+  final function value 69.5925
   
-  F = 85.4439
-  final  value 85.443866 
+  F = 69.5925
+  final  value 69.592530 
   converged
   
   optimisation start
@@ -470,35 +466,30 @@
   * trend model : ~1
   * covariance model : 
     - type :  matern5_2 
-    - nugget : 1.822265e-08 
+    - nugget : 9.665974e-09 
     - parameters lower bounds :  1e-10 1e-10 1e-10 
-    - parameters upper bounds :  4 2 1.947064 
-    - variance bounds :  0.1781893 18.22265 
-    - best initial criterion value(s) :  -575649.9 
+    - parameters upper bounds :  4 2 1.953728 
+    - variance bounds :  0.09453089 9.665974 
+    - best initial criterion value(s) :  -71.31475 
   
   N = 4, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=   5.7565e+05  |proj g|=       16.912
-  At iterate     1  f =       120.96  |proj g|=        1.2375
-  At iterate     2  f =       86.821  |proj g|=        2.3595
-  ys=-2.637e+01  -gs= 1.941e+01, BFGS update SKIPPED
-  At iterate     3  f =       86.301  |proj g|=        2.1703
-  At iterate     4  f =       85.474  |proj g|=       0.64502
-  At iterate     5  f =       85.444  |proj g|=      0.054715
-  At iterate     6  f =       85.444  |proj g|=     0.0057719
-  At iterate     7  f =       85.444  |proj g|=    4.5516e-05
-  At iterate     8  f =       85.444  |proj g|=    3.7495e-08
+  At iterate     0  f=       71.315  |proj g|=        1.269
+  At iterate     1  f =       69.601  |proj g|=       0.44554
+  At iterate     2  f =       69.593  |proj g|=       0.17752
+  At iterate     3  f =       69.593  |proj g|=    0.00052409
+  At iterate     4  f =       69.593  |proj g|=    7.1718e-06
   
-  iterations 8
-  function evaluations 36
-  segments explored during Cauchy searches 11
-  BFGS updates skipped 1
-  active bounds at final generalized Cauchy point 3
-  norm of the final projected gradient 3.74946e-08
-  final function value 85.4439
+  iterations 4
+  function evaluations 7
+  segments explored during Cauchy searches 7
+  BFGS updates skipped 0
+  active bounds at final generalized Cauchy point 1
+  norm of the final projected gradient 7.1718e-06
+  final function value 69.5925
   
-  F = 85.4439
-  final  value 85.443866 
+  F = 69.5925
+  final  value 69.592530 
   converged
   
   optimisation start
@@ -509,30 +500,34 @@
   * trend model : ~1
   * covariance model : 
     - type :  matern5_2 
-    - nugget : 1.822265e-08 
+    - nugget : 9.665974e-09 
     - parameters lower bounds :  1e-10 1e-10 1e-10 
-    - parameters upper bounds :  4 2 1.947064 
-    - variance bounds :  0.1781893 18.22265 
-    - best initial criterion value(s) :  -151793.5 
+    - parameters upper bounds :  4 2 1.953728 
+    - variance bounds :  0.09453089 9.665974 
+    - best initial criterion value(s) :  -15610.9 
   
   N = 4, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=   1.5179e+05  |proj g|=       15.668
-  At iterate     1  f =       120.96  |proj g|=        1.2375
-  At iterate     2  f =        85.46  |proj g|=       0.52021
-  At iterate     3  f =       85.444  |proj g|=     0.0014618
-  At iterate     4  f =       85.444  |proj g|=    9.9518e-05
+  At iterate     0  f=        15611  |proj g|=       8.9387
+  At iterate     1  f =       105.11  |proj g|=        2.3329
+  At iterate     2  f =       69.729  |proj g|=         0.959
+  ys=-5.217e-01  -gs= 2.009e+01, BFGS update SKIPPED
+  At iterate     3  f =       69.658  |proj g|=       0.92449
+  At iterate     4  f =       69.597  |proj g|=       0.51395
+  At iterate     5  f =       69.593  |proj g|=      0.076545
+  At iterate     6  f =       69.593  |proj g|=     0.0028636
+  At iterate     7  f =       69.593  |proj g|=    1.6737e-05
   
-  iterations 4
-  function evaluations 22
-  segments explored during Cauchy searches 7
-  BFGS updates skipped 0
+  iterations 7
+  function evaluations 27
+  segments explored during Cauchy searches 10
+  BFGS updates skipped 1
   active bounds at final generalized Cauchy point 3
-  norm of the final projected gradient 9.95178e-05
-  final function value 85.4439
+  norm of the final projected gradient 1.67368e-05
+  final function value 69.5925
   
-  F = 85.4439
-  final  value 85.443866 
+  F = 69.5925
+  final  value 69.592530 
   converged
   
   optimisation start
@@ -547,50 +542,29 @@
     - parameters lower bounds :  1e-10 1e-10 
     - parameters upper bounds :  1.880582 44.27959 
     - variance bounds :  3.435024 622.0591 
-    - best initial criterion value(s) :  -269.5758 
+    - best initial criterion value(s) :  -5428.776 
   
   N = 3, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=       269.58  |proj g|=       30.848
-  At iterate     1  f =       266.31  |proj g|=         16.98
-  At iterate     2  f =       252.96  |proj g|=        19.046
-  At iterate     3  f =       250.17  |proj g|=        9.4802
-  At iterate     4  f =       249.78  |proj g|=         1.809
-  At iterate     5  f =       249.37  |proj g|=        1.1738
-  At iterate     6  f =       249.34  |proj g|=        1.6979
-  At iterate     7  f =       249.34  |proj g|=       0.23171
-  At iterate     8  f =       249.34  |proj g|=       0.23163
-  At iterate     9  f =       249.34  |proj g|=       0.23148
-  At iterate    10  f =       249.34  |proj g|=       0.23122
-  At iterate    11  f =       249.34  |proj g|=       0.23086
-  At iterate    12  f =       249.34  |proj g|=       0.23027
-  At iterate    13  f =       249.33  |proj g|=       0.25855
-  At iterate    14  f =       249.32  |proj g|=       0.55227
-  At iterate    15  f =       249.29  |proj g|=        1.0294
-  At iterate    16  f =       249.23  |proj g|=        2.1384
-  At iterate    17  f =       249.19  |proj g|=        1.1734
-  At iterate    18  f =       248.99  |proj g|=         3.017
-  At iterate    19  f =        248.1  |proj g|=        7.5692
-  At iterate    20  f =       246.91  |proj g|=        9.6438
-  At iterate    21  f =        245.3  |proj g|=        10.381
-  At iterate    22  f =       244.04  |proj g|=        5.8689
-  At iterate    23  f =       243.61  |proj g|=        6.5332
-  At iterate    24  f =       243.27  |proj g|=       0.15287
-  At iterate    25  f =       243.26  |proj g|=       0.15246
-  At iterate    26  f =       243.26  |proj g|=      0.034001
-  At iterate    27  f =       243.26  |proj g|=     0.0058906
-  At iterate    28  f =       243.26  |proj g|=    0.00024583
+  At iterate     0  f=       5428.8  |proj g|=         84.1
+  At iterate     1  f =       353.14  |proj g|=       0.26068
+  At iterate     2  f =       318.49  |proj g|=       0.17411
+  At iterate     3  f =       318.31  |proj g|=      0.082682
+  At iterate     4  f =       318.23  |proj g|=      0.017254
+  At iterate     5  f =       318.22  |proj g|=     0.0023426
+  At iterate     6  f =       318.22  |proj g|=    5.6419e-05
+  At iterate     7  f =       318.22  |proj g|=    1.7909e-07
   
-  iterations 28
-  function evaluations 35
-  segments explored during Cauchy searches 29
+  iterations 7
+  function evaluations 18
+  segments explored during Cauchy searches 9
   BFGS updates skipped 0
-  active bounds at final generalized Cauchy point 0
-  norm of the final projected gradient 0.000245831
-  final function value 243.264
+  active bounds at final generalized Cauchy point 2
+  norm of the final projected gradient 1.79089e-07
+  final function value 318.222
   
-  F = 243.264
-  final  value 243.264413 
+  F = 318.222
+  final  value 318.221782 
   converged
   
   optimisation start
@@ -605,30 +579,49 @@
     - parameters lower bounds :  1e-10 1e-10 
     - parameters upper bounds :  1.880582 44.27959 
     - variance bounds :  3.435024 622.0591 
-    - best initial criterion value(s) :  -747.4266 
+    - best initial criterion value(s) :  -257.1864 
   
   N = 3, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=       747.43  |proj g|=       10.004
-  At iterate     1  f =       327.75  |proj g|=       0.36756
-  At iterate     2  f =       318.92  |proj g|=       0.19583
-  At iterate     3  f =       318.35  |proj g|=       0.11464
-  At iterate     4  f =       318.24  |proj g|=      0.037194
-  At iterate     5  f =       318.22  |proj g|=     0.0051579
-  At iterate     6  f =       318.22  |proj g|=    0.00028132
-  At iterate     7  f =       318.22  |proj g|=    1.9903e-06
-  At iterate     8  f =       318.22  |proj g|=     7.613e-10
+  At iterate     0  f=       257.19  |proj g|=       5.3252
+  At iterate     1  f =       254.23  |proj g|=        2.0573
+  At iterate     2  f =        253.5  |proj g|=        1.9933
+  At iterate     3  f =       252.87  |proj g|=        1.9258
+  At iterate     4  f =       252.42  |proj g|=       0.65795
+  At iterate     5  f =       252.41  |proj g|=       0.20477
+  At iterate     6  f =       252.41  |proj g|=       0.20575
+  At iterate     7  f =       252.41  |proj g|=       0.43038
+  At iterate     8  f =       252.41  |proj g|=       0.93181
+  At iterate     9  f =       252.41  |proj g|=        1.6878
+  At iterate    10  f =       252.41  |proj g|=        1.6882
+  At iterate    11  f =        252.4  |proj g|=        1.6888
+  At iterate    12  f =       252.39  |proj g|=        1.6897
+  At iterate    13  f =       252.36  |proj g|=         2.077
+  At iterate    14  f =       252.28  |proj g|=        3.6635
+  At iterate    15  f =       252.14  |proj g|=        5.7903
+  At iterate    16  f =       251.76  |proj g|=        6.5333
+  At iterate    17  f =       251.27  |proj g|=        6.2126
+  At iterate    18  f =       250.78  |proj g|=        5.7991
+  At iterate    19  f =       249.37  |proj g|=        1.9056
+  At iterate    20  f =          248  |proj g|=        5.0573
+  At iterate    21  f =       244.33  |proj g|=        9.5211
+  At iterate    22  f =       243.66  |proj g|=        6.8752
+  At iterate    23  f =        243.3  |proj g|=        1.7313
+  At iterate    24  f =       243.27  |proj g|=       0.67809
+  At iterate    25  f =       243.26  |proj g|=       0.10659
+  At iterate    26  f =       243.26  |proj g|=     0.0064569
+  At iterate    27  f =       243.26  |proj g|=     0.0027829
   
-  iterations 8
-  function evaluations 18
-  segments explored during Cauchy searches 10
+  iterations 27
+  function evaluations 35
+  segments explored during Cauchy searches 28
   BFGS updates skipped 0
-  active bounds at final generalized Cauchy point 2
-  norm of the final projected gradient 7.61296e-10
-  final function value 318.222
+  active bounds at final generalized Cauchy point 0
+  norm of the final projected gradient 0.0027829
+  final function value 243.264
   
-  F = 318.222
-  final  value 318.221782 
+  F = 243.264
+  final  value 243.264413 
   converged
   
   optimisation start
@@ -643,29 +636,26 @@
     - parameters lower bounds :  1e-10 1e-10 
     - parameters upper bounds :  1.880582 44.27959 
     - variance bounds :  3.435024 622.0591 
-    - best initial criterion value(s) :  -438.563 
+    - best initial criterion value(s) :  -3595.945 
   
   N = 3, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=       438.56  |proj g|=       7.2906
-  At iterate     1  f =       325.26  |proj g|=       0.36248
-  At iterate     2  f =        323.6  |proj g|=       0.35139
-  At iterate     3  f =       318.65  |proj g|=       0.16043
+  At iterate     0  f=       3595.9  |proj g|=       49.227
+  At iterate     1  f =       345.37  |proj g|=       0.29895
+  At iterate     2  f =       318.46  |proj g|=       0.12629
+  At iterate     3  f =       318.22  |proj g|=      0.013177
   Nonpositive definiteness in Cholesky factorization in formk;
      refresh the lbfgs memory and restart the iteration.
-  At iterate     4  f =       318.53  |proj g|=       0.13956
-  At iterate     5  f =       318.26  |proj g|=      0.061943
-  At iterate     6  f =       318.22  |proj g|=      0.013808
-  At iterate     7  f =       318.22  |proj g|=     0.0010773
-  At iterate     8  f =       318.22  |proj g|=    2.0761e-05
-  At iterate     9  f =       318.22  |proj g|=    3.0479e-08
+  At iterate     4  f =       318.22  |proj g|=       0.01042
+  At iterate     5  f =       318.22  |proj g|=    0.00019457
+  At iterate     6  f =       318.22  |proj g|=    2.8066e-06
   
-  iterations 9
-  function evaluations 16
-  segments explored during Cauchy searches 12
+  iterations 6
+  function evaluations 22
+  segments explored during Cauchy searches 10
   BFGS updates skipped 0
   active bounds at final generalized Cauchy point 2
-  norm of the final projected gradient 3.04787e-08
+  norm of the final projected gradient 2.80663e-06
   final function value 318.222
   
   F = 318.222
@@ -684,24 +674,24 @@
     - parameters lower bounds :  1e-10 1e-10 
     - parameters upper bounds :  1.880582 44.27959 
     - variance bounds :  3.435024 622.0591 
-    - best initial criterion value(s) :  -320.6484 
+    - best initial criterion value(s) :  -441.4761 
   
   N = 3, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=       320.65  |proj g|=       3.9549
-  At iterate     1  f =        318.3  |proj g|=      0.087105
-  At iterate     2  f =       318.27  |proj g|=      0.067706
-  At iterate     3  f =       318.22  |proj g|=     0.0063517
-  At iterate     4  f =       318.22  |proj g|=    0.00052011
-  At iterate     5  f =       318.22  |proj g|=    4.4419e-06
-  At iterate     6  f =       318.22  |proj g|=    3.1398e-09
+  At iterate     0  f=       441.48  |proj g|=       3.4285
+  At iterate     1  f =       327.92  |proj g|=       0.36757
+  At iterate     2  f =       318.57  |proj g|=       0.14806
+  At iterate     3  f =       318.22  |proj g|=     0.0040757
+  At iterate     4  f =       318.22  |proj g|=     0.0011021
+  At iterate     5  f =       318.22  |proj g|=    6.0793e-06
+  At iterate     6  f =       318.22  |proj g|=    9.1309e-09
   
   iterations 6
-  function evaluations 13
+  function evaluations 15
   segments explored during Cauchy searches 8
   BFGS updates skipped 0
   active bounds at final generalized Cauchy point 2
-  norm of the final projected gradient 3.13975e-09
+  norm of the final projected gradient 9.13087e-09
   final function value 318.222
   
   F = 318.222
@@ -716,34 +706,35 @@
   * trend model : ~1
   * covariance model : 
     - type :  matern5_2 
-    - nugget : 9.325718e-09 
+    - nugget : 9.203877e-09 
     - parameters lower bounds :  1e-10 1e-10 1e-10 
-    - parameters upper bounds :  4 2 1.913901 
-    - variance bounds :  0.09325718 9.591732 
-    - best initial criterion value(s) :  -193964.3 
+    - parameters upper bounds :  4 2 1.889885 
+    - variance bounds :  0.08787646 9.203877 
+    - best initial criterion value(s) :  -2816040 
   
   N = 4, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=   1.9396e+05  |proj g|=       8.6797
-  At iterate     1  f =       104.85  |proj g|=        2.3581
-  At iterate     2  f =       68.816  |proj g|=       0.91592
-  At iterate     3  f =       68.698  |proj g|=       0.24355
-  Nonpositive definiteness in Cholesky factorization in formk;
-     refresh the lbfgs memory and restart the iteration.
-  At iterate     4  f =       68.697  |proj g|=      0.013662
-  At iterate     5  f =       68.697  |proj g|=    0.00024914
-  At iterate     6  f =       68.697  |proj g|=    2.4916e-07
+  At iterate     0  f=    2.816e+06  |proj g|=       8.3436
+  At iterate     1  f =       103.89  |proj g|=        2.4501
+  At iterate     2  f =       69.657  |proj g|=        1.1785
+  ys=-2.564e+01  -gs= 1.945e+01, BFGS update SKIPPED
+  At iterate     3  f =       68.953  |proj g|=         1.041
+  At iterate     4  f =        68.38  |proj g|=       0.82222
+  At iterate     5  f =       68.372  |proj g|=       0.52558
+  At iterate     6  f =       68.368  |proj g|=        0.0321
+  At iterate     7  f =       68.368  |proj g|=     0.0011658
+  At iterate     8  f =       68.368  |proj g|=    2.7086e-06
   
-  iterations 6
-  function evaluations 26
+  iterations 8
+  function evaluations 36
   segments explored during Cauchy searches 11
-  BFGS updates skipped 0
+  BFGS updates skipped 1
   active bounds at final generalized Cauchy point 3
-  norm of the final projected gradient 2.49163e-07
-  final function value 68.6966
+  norm of the final projected gradient 2.70855e-06
+  final function value 68.3679
   
-  F = 68.6966
-  final  value 68.696631 
+  F = 68.3679
+  final  value 68.367851 
   converged
   
   optimisation start
@@ -754,34 +745,35 @@
   * trend model : ~1
   * covariance model : 
     - type :  matern5_2 
-    - nugget : 9.325718e-09 
+    - nugget : 9.203877e-09 
     - parameters lower bounds :  1e-10 1e-10 1e-10 
-    - parameters upper bounds :  4 2 1.913901 
-    - variance bounds :  0.09325718 9.591732 
-    - best initial criterion value(s) :  -193964.3 
+    - parameters upper bounds :  4 2 1.889885 
+    - variance bounds :  0.08787646 9.203877 
+    - best initial criterion value(s) :  -2816040 
   
   N = 4, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=   1.9396e+05  |proj g|=       8.6797
-  At iterate     1  f =       104.85  |proj g|=        2.3581
-  At iterate     2  f =       68.816  |proj g|=       0.91592
-  At iterate     3  f =       68.698  |proj g|=       0.24355
-  Nonpositive definiteness in Cholesky factorization in formk;
-     refresh the lbfgs memory and restart the iteration.
-  At iterate     4  f =       68.697  |proj g|=      0.013662
-  At iterate     5  f =       68.697  |proj g|=    0.00024914
-  At iterate     6  f =       68.697  |proj g|=    2.4916e-07
+  At iterate     0  f=    2.816e+06  |proj g|=       8.3436
+  At iterate     1  f =       103.89  |proj g|=        2.4501
+  At iterate     2  f =       69.657  |proj g|=        1.1785
+  ys=-2.564e+01  -gs= 1.945e+01, BFGS update SKIPPED
+  At iterate     3  f =       68.953  |proj g|=         1.041
+  At iterate     4  f =        68.38  |proj g|=       0.82222
+  At iterate     5  f =       68.372  |proj g|=       0.52558
+  At iterate     6  f =       68.368  |proj g|=        0.0321
+  At iterate     7  f =       68.368  |proj g|=     0.0011658
+  At iterate     8  f =       68.368  |proj g|=    2.7086e-06
   
-  iterations 6
-  function evaluations 26
+  iterations 8
+  function evaluations 36
   segments explored during Cauchy searches 11
-  BFGS updates skipped 0
+  BFGS updates skipped 1
   active bounds at final generalized Cauchy point 3
-  norm of the final projected gradient 2.49163e-07
-  final function value 68.6966
+  norm of the final projected gradient 2.70855e-06
+  final function value 68.3679
   
-  F = 68.6966
-  final  value 68.696631 
+  F = 68.3679
+  final  value 68.367851 
   converged
   
   optimisation start
@@ -792,36 +784,35 @@
   * trend model : ~1
   * covariance model : 
     - type :  matern5_2 
-    - nugget : 9.325718e-09 
+    - nugget : 9.203877e-09 
     - parameters lower bounds :  1e-10 1e-10 1e-10 
-    - parameters upper bounds :  4 2 1.913901 
-    - variance bounds :  0.09325718 9.591732 
-    - best initial criterion value(s) :  -588993.3 
+    - parameters upper bounds :  4 2 1.889885 
+    - variance bounds :  0.08787646 9.203877 
+    - best initial criterion value(s) :  -245026.1 
   
   N = 4, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=   5.8899e+05  |proj g|=       8.3135
-  At iterate     1  f =       104.85  |proj g|=        2.3581
-  At iterate     2  f =       70.892  |proj g|=        1.3408
-  ys=-3.234e+01  -gs= 1.924e+01, BFGS update SKIPPED
-  At iterate     3  f =       70.037  |proj g|=        1.1989
-  At iterate     4  f =       68.697  |proj g|=       0.22642
-  Nonpositive definiteness in Cholesky factorization in formk;
-     refresh the lbfgs memory and restart the iteration.
-  At iterate     5  f =       68.697  |proj g|=       0.01245
-  At iterate     6  f =       68.697  |proj g|=    0.00020215
-  At iterate     7  f =       68.697  |proj g|=    1.8422e-07
+  At iterate     0  f=   2.4503e+05  |proj g|=       8.0202
+  At iterate     1  f =       103.89  |proj g|=        2.4501
+  At iterate     2  f =       69.155  |proj g|=        1.0842
+  ys=-1.980e+01  -gs= 1.968e+01, BFGS update SKIPPED
+  At iterate     3  f =       68.606  |proj g|=       0.95102
+  At iterate     4  f =       68.383  |proj g|=       0.84606
+  At iterate     5  f =        68.37  |proj g|=       0.33566
+  At iterate     6  f =       68.368  |proj g|=      0.023448
+  At iterate     7  f =       68.368  |proj g|=    0.00055245
+  At iterate     8  f =       68.368  |proj g|=    9.3677e-07
   
-  iterations 7
-  function evaluations 36
-  segments explored during Cauchy searches 12
+  iterations 8
+  function evaluations 32
+  segments explored during Cauchy searches 11
   BFGS updates skipped 1
   active bounds at final generalized Cauchy point 3
-  norm of the final projected gradient 1.8422e-07
-  final function value 68.6966
+  norm of the final projected gradient 9.36768e-07
+  final function value 68.3679
   
-  F = 68.6966
-  final  value 68.696631 
+  F = 68.3679
+  final  value 68.367851 
   converged
   
   optimisation start
@@ -832,36 +823,35 @@
   * trend model : ~1
   * covariance model : 
     - type :  matern5_2 
-    - nugget : 9.325718e-09 
+    - nugget : 9.203877e-09 
     - parameters lower bounds :  1e-10 1e-10 1e-10 
-    - parameters upper bounds :  4 2 1.913901 
-    - variance bounds :  0.09325718 9.591732 
-    - best initial criterion value(s) :  -588993.3 
+    - parameters upper bounds :  4 2 1.889885 
+    - variance bounds :  0.08787646 9.203877 
+    - best initial criterion value(s) :  -245026.1 
   
   N = 4, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=   5.8899e+05  |proj g|=       8.3135
-  At iterate     1  f =       104.85  |proj g|=        2.3581
-  At iterate     2  f =       70.892  |proj g|=        1.3408
-  ys=-3.234e+01  -gs= 1.924e+01, BFGS update SKIPPED
-  At iterate     3  f =       70.037  |proj g|=        1.1989
-  At iterate     4  f =       68.697  |proj g|=       0.22642
-  Nonpositive definiteness in Cholesky factorization in formk;
-     refresh the lbfgs memory and restart the iteration.
-  At iterate     5  f =       68.697  |proj g|=       0.01245
-  At iterate     6  f =       68.697  |proj g|=    0.00020215
-  At iterate     7  f =       68.697  |proj g|=    1.8422e-07
+  At iterate     0  f=   2.4503e+05  |proj g|=       8.0202
+  At iterate     1  f =       103.89  |proj g|=        2.4501
+  At iterate     2  f =       69.155  |proj g|=        1.0842
+  ys=-1.980e+01  -gs= 1.968e+01, BFGS update SKIPPED
+  At iterate     3  f =       68.606  |proj g|=       0.95102
+  At iterate     4  f =       68.383  |proj g|=       0.84606
+  At iterate     5  f =        68.37  |proj g|=       0.33566
+  At iterate     6  f =       68.368  |proj g|=      0.023448
+  At iterate     7  f =       68.368  |proj g|=    0.00055245
+  At iterate     8  f =       68.368  |proj g|=    9.3677e-07
   
-  iterations 7
-  function evaluations 36
-  segments explored during Cauchy searches 12
+  iterations 8
+  function evaluations 32
+  segments explored during Cauchy searches 11
   BFGS updates skipped 1
   active bounds at final generalized Cauchy point 3
-  norm of the final projected gradient 1.8422e-07
-  final function value 68.6966
+  norm of the final projected gradient 9.36768e-07
+  final function value 68.3679
   
-  F = 68.6966
-  final  value 68.696631 
+  F = 68.3679
+  final  value 68.367851 
   converged
   
   optimisation start
@@ -872,35 +862,36 @@
   * trend model : ~1
   * covariance model : 
     - type :  matern5_2 
-    - nugget : 9.325718e-09 
+    - nugget : 9.203877e-09 
     - parameters lower bounds :  1e-10 1e-10 1e-10 
-    - parameters upper bounds :  4 2 1.913901 
-    - variance bounds :  0.09325718 9.591732 
-    - best initial criterion value(s) :  -31688843 
+    - parameters upper bounds :  4 2 1.889885 
+    - variance bounds :  0.08787646 9.203877 
+    - best initial criterion value(s) :  -846.2012 
   
   N = 4, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=   3.1689e+07  |proj g|=       9.0019
-  At iterate     1  f =       104.85  |proj g|=        2.3581
-  At iterate     2  f =       70.662  |proj g|=        1.3041
-  ys=-3.140e+01  -gs= 1.932e+01, BFGS update SKIPPED
-  At iterate     3  f =        69.81  |proj g|=        1.1579
-  At iterate     4  f =       68.711  |proj g|=       0.85229
-  At iterate     5  f =       68.697  |proj g|=       0.05866
-  At iterate     6  f =       68.697  |proj g|=     0.0041545
-  At iterate     7  f =       68.697  |proj g|=    1.7907e-05
-  At iterate     8  f =       68.697  |proj g|=    5.4372e-09
+  At iterate     0  f=        846.2  |proj g|=       8.3487
+  At iterate     1  f =       103.89  |proj g|=        2.4501
+  At iterate     2  f =       68.722  |proj g|=       0.98474
+  ys=-1.023e+01  -gs= 1.992e+01, BFGS update SKIPPED
+  At iterate     3  f =       68.625  |proj g|=       0.95683
+  At iterate     4  f =        68.44  |proj g|=        2.3336
+  At iterate     5  f =       68.375  |proj g|=       0.62525
+  At iterate     6  f =       68.368  |proj g|=       0.09183
+  At iterate     7  f =       68.368  |proj g|=      0.004431
+  At iterate     8  f =       68.368  |proj g|=    2.9594e-05
+  At iterate     9  f =       68.368  |proj g|=    9.4585e-09
   
-  iterations 8
-  function evaluations 39
-  segments explored during Cauchy searches 11
+  iterations 9
+  function evaluations 27
+  segments explored during Cauchy searches 12
   BFGS updates skipped 1
   active bounds at final generalized Cauchy point 3
-  norm of the final projected gradient 5.43724e-09
-  final function value 68.6966
+  norm of the final projected gradient 9.45851e-09
+  final function value 68.3679
   
-  F = 68.6966
-  final  value 68.696631 
+  F = 68.3679
+  final  value 68.367851 
   converged
   
   optimisation start
@@ -911,35 +902,34 @@
   * trend model : ~1
   * covariance model : 
     - type :  matern5_2 
-    - nugget : 9.325718e-09 
+    - nugget : 9.203877e-09 
     - parameters lower bounds :  1e-10 1e-10 1e-10 
-    - parameters upper bounds :  4 2 1.913901 
-    - variance bounds :  0.09325718 9.591732 
-    - best initial criterion value(s) :  -3037028 
+    - parameters upper bounds :  4 2 1.889885 
+    - variance bounds :  0.08787646 9.203877 
+    - best initial criterion value(s) :  -10526.78 
   
   N = 4, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=    3.037e+06  |proj g|=       8.2779
-  At iterate     1  f =       104.85  |proj g|=        2.3581
-  At iterate     2  f =       70.665  |proj g|=        1.3046
-  ys=-3.141e+01  -gs= 1.932e+01, BFGS update SKIPPED
-  At iterate     3  f =       69.813  |proj g|=        1.1584
-  At iterate     4  f =       68.711  |proj g|=       0.85193
-  At iterate     5  f =       68.697  |proj g|=      0.057396
-  At iterate     6  f =       68.697  |proj g|=     0.0040162
-  At iterate     7  f =       68.697  |proj g|=    1.6937e-05
-  At iterate     8  f =       68.697  |proj g|=    4.9715e-09
+  At iterate     0  f=        10527  |proj g|=       8.3366
+  At iterate     1  f =       103.89  |proj g|=        2.4501
+  At iterate     2  f =        68.49  |proj g|=       0.90962
+  At iterate     3  f =       68.369  |proj g|=        0.2521
+  Nonpositive definiteness in Cholesky factorization in formk;
+     refresh the lbfgs memory and restart the iteration.
+  At iterate     4  f =       68.368  |proj g|=      0.011359
+  At iterate     5  f =       68.368  |proj g|=    0.00021168
+  At iterate     6  f =       68.368  |proj g|=    1.7369e-07
   
-  iterations 8
-  function evaluations 39
+  iterations 6
+  function evaluations 25
   segments explored during Cauchy searches 11
-  BFGS updates skipped 1
+  BFGS updates skipped 0
   active bounds at final generalized Cauchy point 3
-  norm of the final projected gradient 4.97146e-09
-  final function value 68.6966
+  norm of the final projected gradient 1.73687e-07
+  final function value 68.3679
   
-  F = 68.6966
-  final  value 68.696631 
+  F = 68.3679
+  final  value 68.367851 
   converged
   
   optimisation start
@@ -954,44 +944,28 @@
     - parameters lower bounds :  1e-10 1e-10 
     - parameters upper bounds :  1.880582 44.27959 
     - variance bounds :  3.435024 622.0591 
-    - best initial criterion value(s) :  -262.353 
+    - best initial criterion value(s) :  -537.6532 
   
   N = 3, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=       262.35  |proj g|=       33.873
-  At iterate     1  f =        250.9  |proj g|=        1.6996
-  At iterate     2  f =        249.6  |proj g|=        4.1923
-  At iterate     3  f =       249.35  |proj g|=        1.6972
-  At iterate     4  f =       249.34  |proj g|=       0.23194
-  At iterate     5  f =       249.34  |proj g|=       0.23156
-  At iterate     6  f =       249.34  |proj g|=       0.23134
-  At iterate     7  f =       249.34  |proj g|=       0.96154
-  At iterate     8  f =       249.33  |proj g|=         1.699
-  At iterate     9  f =        249.3  |proj g|=        1.7007
-  At iterate    10  f =       249.24  |proj g|=        1.7314
-  At iterate    11  f =       249.23  |proj g|=        1.7301
-  At iterate    12  f =       249.06  |proj g|=          1.76
-  At iterate    13  f =       248.37  |proj g|=         1.793
-  At iterate    14  f =       247.07  |proj g|=        1.7834
-  At iterate    15  f =       245.95  |proj g|=        1.7233
-  At iterate    16  f =       244.46  |proj g|=        1.5351
-  At iterate    17  f =       244.43  |proj g|=        1.5291
-  At iterate    18  f =       243.46  |proj g|=        4.9085
-  At iterate    19  f =       243.27  |proj g|=        1.7278
-  At iterate    20  f =       243.26  |proj g|=       0.15245
-  At iterate    21  f =       243.26  |proj g|=     0.0050793
-  At iterate    22  f =       243.26  |proj g|=      0.001212
+  At iterate     0  f=       537.65  |proj g|=       15.139
+  At iterate     1  f =       328.51  |proj g|=       0.36735
+  At iterate     2  f =       318.31  |proj g|=      0.079047
+  At iterate     3  f =       318.22  |proj g|=      0.007562
+  At iterate     4  f =       318.22  |proj g|=     0.0009558
+  At iterate     5  f =       318.22  |proj g|=    9.9436e-06
+  At iterate     6  f =       318.22  |proj g|=    1.2907e-08
   
-  iterations 22
-  function evaluations 32
-  segments explored during Cauchy searches 23
+  iterations 6
+  function evaluations 20
+  segments explored during Cauchy searches 8
   BFGS updates skipped 0
-  active bounds at final generalized Cauchy point 0
-  norm of the final projected gradient 0.00121198
-  final function value 243.264
+  active bounds at final generalized Cauchy point 2
+  norm of the final projected gradient 1.29074e-08
+  final function value 318.222
   
-  F = 243.264
-  final  value 243.264413 
+  F = 318.222
+  final  value 318.221782 
   converged
   
   optimisation start
@@ -1006,52 +980,51 @@
     - parameters lower bounds :  1e-10 1e-10 
     - parameters upper bounds :  1.880582 44.27959 
     - variance bounds :  3.435024 622.0591 
-    - best initial criterion value(s) :  -301.3568 
+    - best initial criterion value(s) :  -316.8545 
   
   N = 3, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=       301.36  |proj g|=       1.8739
-  At iterate     1  f =       263.73  |proj g|=        4.3342
-  At iterate     2  f =       260.87  |proj g|=        3.6736
-  At iterate     3  f =       260.83  |proj g|=        3.1779
-  At iterate     4  f =       260.83  |proj g|=        3.2004
-  At iterate     5  f =       260.83  |proj g|=        3.2236
-  At iterate     6  f =       260.83  |proj g|=        3.2684
-  At iterate     7  f =       260.83  |proj g|=        3.3338
-  At iterate     8  f =       260.82  |proj g|=        3.4366
-  At iterate     9  f =        260.8  |proj g|=        3.5858
-  At iterate    10  f =       260.74  |proj g|=        3.7832
-  At iterate    11  f =       260.58  |proj g|=        3.9944
-  At iterate    12  f =       260.15  |proj g|=        3.9209
-  At iterate    13  f =       257.24  |proj g|=        1.8202
-  At iterate    14  f =       257.19  |proj g|=        2.7868
-  At iterate    15  f =       255.26  |proj g|=        4.8935
-  At iterate    16  f =       253.59  |proj g|=        10.851
-  At iterate    17  f =       247.36  |proj g|=        15.086
-  At iterate    18  f =       244.08  |proj g|=        1.7315
-  At iterate    19  f =       243.85  |proj g|=         0.161
-  At iterate    20  f =       243.84  |proj g|=       0.16612
-  At iterate    21  f =       243.84  |proj g|=       0.16537
-  At iterate    22  f =       243.84  |proj g|=       0.16392
-  At iterate    23  f =       243.84  |proj g|=       0.52907
-  At iterate    24  f =       243.83  |proj g|=        1.1148
-  At iterate    25  f =       243.79  |proj g|=        1.4599
-  At iterate    26  f =       243.72  |proj g|=         1.464
-  At iterate    27  f =       243.58  |proj g|=         1.461
-  At iterate    28  f =       243.43  |proj g|=        1.4215
-  At iterate    29  f =       243.39  |proj g|=        1.4296
-  At iterate    30  f =       243.29  |proj g|=        1.3884
-  At iterate    31  f =       243.26  |proj g|=       0.38191
-  At iterate    32  f =       243.26  |proj g|=      0.010732
-  At iterate    33  f =       243.26  |proj g|=     0.0051699
-  At iterate    34  f =       243.26  |proj g|=     0.0007956
+  At iterate     0  f=       316.85  |proj g|=       44.233
+  At iterate     1  f =       288.36  |proj g|=       0.61221
+  At iterate     2  f =       271.02  |proj g|=        42.502
+  At iterate     3  f =       267.64  |proj g|=        35.752
+  At iterate     4  f =       260.31  |proj g|=        9.1647
+  At iterate     5  f =       252.76  |proj g|=        10.353
+  At iterate     6  f =       251.23  |proj g|=        5.8652
+  At iterate     7  f =       250.93  |proj g|=        1.6925
+  At iterate     8  f =       250.92  |proj g|=       0.21868
+  At iterate     9  f =       250.92  |proj g|=       0.21901
+  At iterate    10  f =       250.92  |proj g|=       0.21918
+  At iterate    11  f =       250.92  |proj g|=       0.66457
+  At iterate    12  f =       250.92  |proj g|=        1.3489
+  At iterate    13  f =       250.92  |proj g|=        1.6928
+  At iterate    14  f =       250.92  |proj g|=        1.6933
+  At iterate    15  f =       250.92  |proj g|=        1.6942
+  At iterate    16  f =        250.9  |proj g|=        1.6958
+  At iterate    17  f =       250.87  |proj g|=        1.6984
+  At iterate    18  f =        250.8  |proj g|=         1.702
+  At iterate    19  f =       250.69  |proj g|=        1.8108
+  At iterate    20  f =       250.54  |proj g|=        1.8321
+  At iterate    21  f =       250.37  |proj g|=        1.8442
+  At iterate    22  f =       250.17  |proj g|=         1.841
+  At iterate    23  f =       249.38  |proj g|=        1.8073
+  At iterate    24  f =       248.19  |proj g|=        1.7144
+  At iterate    25  f =        246.3  |proj g|=        1.5645
+  At iterate    26  f =       244.09  |proj g|=        5.7035
+  At iterate    27  f =       243.44  |proj g|=       0.59715
+  At iterate    28  f =        243.3  |proj g|=       0.95523
+  At iterate    29  f =       243.27  |proj g|=        1.7288
+  At iterate    30  f =       243.26  |proj g|=       0.23498
+  At iterate    31  f =       243.26  |proj g|=      0.011528
+  At iterate    32  f =       243.26  |proj g|=      0.017036
+  At iterate    33  f =       243.26  |proj g|=     0.0072225
   
-  iterations 34
-  function evaluations 51
+  iterations 33
+  function evaluations 41
   segments explored during Cauchy searches 35
   BFGS updates skipped 0
   active bounds at final generalized Cauchy point 0
-  norm of the final projected gradient 0.000795602
+  norm of the final projected gradient 0.00722251
   final function value 243.264
   
   F = 243.264
> library(data.table, lib.loc=R.home("library"))
> (sig.diff.dt <- myDiff(Rvers))
Key: <checking>
Empty data.table (0 rows and 3 cols): checking,master,release
> 
> ## If there are significant differences, use git bisect to find when
> ## they started.
> if(nrow(sig.diff.dt)){
+   dt.git <- file.path(task.dir, "data.table.git")
+   system(paste("cd ~/R/data.table && git fetch --tags"))
+   system(paste("git clone ~/R/data.table", dt.git))
+   release.tag <- gsub(".tar.gz|.*_", "", cargs[["release"]])
+   rev.parse.cmd <- paste(
+     "cd", dt.git, "&& git rev-parse master")
+   master.sha <- system(rev.parse.cmd, intern=TRUE)
+   merge.base.cmd <- paste(
+     "cd", dt.git, "&& git merge-base master", release.tag)
+   merge.base.sha <- system(merge.base.cmd, intern=TRUE)
+   old.sha <- merge.base.sha
+   run_R <- file.path(proj.dir, "install_dt_then_check_dep.R")
+   sig.diff.dt[, first.bad.commit := NA_character_]
+   sig.diff.dt[, comments := NA_character_]
+   for(diff.i in 1:nrow(sig.diff.dt)){
+     sig.diff.row <- sig.diff.dt[diff.i]
+     bisect.cmd <- paste(
+       "cd", dt.git, "&&",
+       "git bisect start &&",
+       "git bisect old", old.sha, "&&",
+       "git bisect new master &&",
+       "git bisect run",
+       R.home('bin/Rscript'),
+       run_R,
+       shQuote(sig.diff.row$checking),
+       sig.diff.row$release,
+       rev.dep.release.tar.gz,
+       release.tag)
+     print(bisect.cmd)
+     bisect.out <- system(bisect.cmd, intern=TRUE)
+     cat(bisect.out,sep="\n")
+     if(is.null(attr(bisect.out,"status"))){
+       first.bad.sha <- nc::capture_all_str(
+         bisect.out,
+         sha="[0-9a-f]+",
+         " is the first new commit")$sha
+       parent.cmd <- paste(
+         "cd ~/R/data.table && git log --pretty=%P -n 1",
+         first.bad.sha)
+       parent.sha <- system(parent.cmd, intern=TRUE)
+       sig.diff.dt[diff.i, first.bad.commit := first.bad.sha]
+       parent.msg <- paste0("parent=", parent.sha)
+       this.comment <- if(parent.sha==old.sha){
+         paste(parent.msg, "same as git bisect old")
+       }else if(first.bad.sha==master.sha){
+         paste("same as git bisect new=master,", parent.msg)
+       }else{
+         parent.msg
+       }
+       sig.diff.dt[diff.i, comments := this.comment]
+     }
+   }
+   ## add CRAN column.
+   sig.diff.dt[, CRAN := {
+     flavor <- get_flavor(Rvers)
+     details <- data.table(flavor=unique(flavor))[, {
+       base <- "https://www.r-project.org/nosvn/R.check/"
+       u <- paste0(base, flavor, "/", rev.dep, "-00check.txt")
+       check.txt <- tempfile()
+       tryCatch({
+         download.file(u, check.txt, quiet=TRUE)
+       }, error=function(e){
+         NULL
+       })
+       check.lines <- if(file.exists(check.txt)){
+         readLines(check.txt,encoding="UTF-8")
+       }else{
+         ""
+       }
+       repl.lines <- gsub("[\u2018\u2019]", "'", check.lines)
+       ##gsub("[‘’]", "'", check.lines) does not work with LC_ALL=C.
+       myStatus(line.vec=repl.lines)
+     }, by=flavor]
+     select.dt <- data.table(flavor, checking)
+     details[select.dt, msg, on=.(flavor, checking)]
+   }]
+   dir.create(file.path(job.dir, Rvers))
+   diffs.csv <- file.path(job.dir, Rvers, "significant_differences.csv")
+   data.table::fwrite(sig.diff.dt, diffs.csv)
+   print(sig.diff.dt)
+ }
> 
WARNING: ignoring environment value of R_HOME

R version 4.5.0 (2025-04-11) -- "How About a Twenty-Six"
Copyright (C) 2025 The R Foundation for Statistical Computing
Platform: x86_64-pc-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.

> cargs <- commandArgs(trailingOnly=TRUE)
> if(length(cargs)==0){
+   ## before running interactively, make sure to start emacs/R with
+   ## environment defined in /scratch/...check_one.sh, particularly
+   ## R_LIBS_USER=/tmp/... otherwise we get error when installing
+   ## data.table.
+   base <- "/scratch/th798/data.table-revdeps/*"
+   cargs <- c(
+     Sys.glob(file.path(base,"deps.csv")),
+     "349",
+     Sys.glob(file.path(base, "data.table_release_*tar.gz")),
+     Sys.glob(file.path(base, "data.table_master_*tar.gz"))
+   )
+ }
> names(cargs) <- c("deps.csv", "task.str", "release", "master")
> dput(cargs)
c(deps.csv = "/scratch/th798/data.table-revdeps/2025-05-17/deps.csv", 
task.str = "847", release = "/scratch/th798/data.table-revdeps/2025-05-17/data.table_release_1.17.2.tar.gz", 
master = "/scratch/th798/data.table-revdeps/2025-05-17/data.table_master_1.17.99.c4ea09e099b1833fae0eacb50552bce6f051ed82.tar.gz"
)
> (task.dir <- dirname(.libPaths()[1]))#should be /tmp/th798/slurmid/R-vers
[1] "/tmp/th798/17291122/R-release/847"
> if(requireNamespace("R.cache"))R.cache::getCachePath()
Loading required namespace: R.cache
[1] "/tmp/th798/17291122/R-release/847/R.cache"
> task.id <- as.integer(cargs[["task.str"]])
> deps.df <- read.csv(cargs[["deps.csv"]])
> (rev.dep <- deps.df$Package[task.id])
[1] "mlr3learners"
> job.dir <- file.path(dirname(cargs[["deps.csv"]]), "tasks", task.id)
> setwd(task.dir)
> .libPaths()
[1] "/tmp/th798/17291122/R-release/847/library"
[2] "/projects/genomic-ml/R/R-release/library" 
> options(repos=c(#this should be in ~/.Rprofile too.
+   CRAN="http://cloud.r-project.org"))
> print(Sys.time())
[1] "2025-05-17 00:45:14 MST"
> install.time <- system.time({
+   install.packages(rev.dep, dep=TRUE)
+ })
Installing package into '/tmp/th798/17291122/R-release/847/library'
(as 'lib' is unspecified)
also installing the dependencies 'mlr3measures', 'mlr3', 'paradox', 'DiceKriging', 'rgenoud'

trying URL 'http://cloud.r-project.org/src/contrib/mlr3measures_1.0.0.tar.gz'
trying URL 'http://cloud.r-project.org/src/contrib/mlr3_0.23.0.tar.gz'
trying URL 'http://cloud.r-project.org/src/contrib/paradox_1.0.1.tar.gz'
trying URL 'http://cloud.r-project.org/src/contrib/DiceKriging_1.6.0.tar.gz'
trying URL 'http://cloud.r-project.org/src/contrib/rgenoud_5.9-0.11.tar.gz'
trying URL 'http://cloud.r-project.org/src/contrib/mlr3learners_0.10.0.tar.gz'
* installing *source* package 'mlr3measures' ...
** this is package 'mlr3measures' version '1.0.0'
** package 'mlr3measures' successfully unpacked and MD5 sums checked
** using staged installation
** R
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
** building package indices
** 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 (mlr3measures)
* installing *source* package 'paradox' ...
** this is package 'paradox' version '1.0.1'
** package 'paradox' successfully unpacked and MD5 sums checked
** 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 (paradox)
* installing *source* package 'DiceKriging' ...
** this is package 'DiceKriging' version '1.6.0'
** package 'DiceKriging' successfully unpacked and MD5 sums checked
** using staged installation
** libs
using C compiler: 'gcc (Spack GCC) 12.2.0'
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include    -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c CovFuns.c -o CovFuns.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include    -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c Scaling.c -o Scaling.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include    -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c init.c -o init.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o DiceKriging.so CovFuns.o Scaling.o init.o
installing to /tmp/th798/17291122/R-release/847/library/00LOCK-DiceKriging/00new/DiceKriging/libs
** R
** inst
** byte-compile and prepare package for lazy loading
Note: ... may be used in an incorrect context 
** help
*** installing help indices
** building package indices
** testing if installed package can be loaded from temporary location
** checking absolute paths in shared objects and dynamic libraries
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (DiceKriging)
* installing *source* package 'rgenoud' ...
** this is package 'rgenoud' version '5.9-0.11'
** package 'rgenoud' successfully unpacked and MD5 sums checked
** using staged installation
** libs
using C compiler: 'gcc (Spack GCC) 12.2.0'
using C++ compiler: 'g++ (Spack GCC) 12.2.0'
/packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include    -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include   -c change_order.cpp -o change_order.o
/packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include    -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include   -c eval.cpp -o eval.o
/packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include    -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include   -c evaluate.cpp -o evaluate.o
/packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include    -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include   -c frange_ran.cpp -o frange_ran.o
/packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include    -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include   -c genoud.cpp -o genoud.o
/packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include    -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include   -c gradient.cpp -o gradient.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include    -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c init.c -o init.o
/packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include    -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include   -c math.cpp -o math.o
/packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include    -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include   -c multiply.cpp -o multiply.o
/packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include    -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include   -c numerics.cpp -o numerics.o
/packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include    -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include   -c operators.cpp -o operators.o
/packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include    -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include   -c print_format.cpp -o print_format.o
/packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include    -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include   -c rgenoud.cpp -o rgenoud.o
/packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o rgenoud.so change_order.o eval.o evaluate.o frange_ran.o genoud.o gradient.o init.o math.o multiply.o numerics.o operators.o print_format.o rgenoud.o
installing to /tmp/th798/17291122/R-release/847/library/00LOCK-rgenoud/00new/rgenoud/libs
** 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
** checking absolute paths in shared objects and dynamic libraries
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (rgenoud)
* installing *source* package 'mlr3' ...
** this is package 'mlr3' version '0.23.0'
** package 'mlr3' successfully unpacked and MD5 sums checked
** using staged installation
** R
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
*** copying figures
** building package indices
** 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 (mlr3)
* installing *source* package 'mlr3learners' ...
** this is package 'mlr3learners' version '0.10.0'
** package 'mlr3learners' successfully unpacked and MD5 sums checked
** using staged installation
** R
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
*** copying figures
** building package indices
** 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 (mlr3learners)

The downloaded source packages are in
	'/tmp/th798/17291122/RtmpgvIrbH/downloaded_packages'
> cat("Time to install revdep:\n")
Time to install revdep:
> print(install.time)
   user  system elapsed 
 57.460   2.346  61.470 
> print(Sys.time())
[1] "2025-05-17 00:46:16 MST"
> downloaded_packages <- file.path(
+   tempdir(),
+   "downloaded_packages")
> dl.glob <- file.path(
+   downloaded_packages,
+   paste0(rev.dep,"_*.tar.gz"))
> rev.dep.dl.row <- cbind(rev.dep, Sys.glob(dl.glob))
> colnames(rev.dep.dl.row) <- c("pkg","path")
> rev.dep.release.tar.gz <- normalizePath(rev.dep.dl.row[,"path"], mustWork=TRUE)
> pkg.Rcheck <- paste0(rev.dep, ".Rcheck")
> 
> proj.dir <- "~/genomic-ml/data.table-revdeps"
> source(file.path(proj.dir, "myStatus.R"))
> Rvers <- gsub("[()]", "", gsub(" ", "_", R.version[["version.string"]]))
> dir.create(Rvers, showWarnings=FALSE)
> Rcheck.list <- list()
> for(dt.version.short in c("release", "master")){
+   dt.tar.gz <- cargs[[dt.version.short]]
+   dt.version <- gsub(".tar.gz|/.*?_", "", dt.tar.gz)
+   print(Sys.time())
+   install.packages(dt.tar.gz, repos=NULL)
+   print(Sys.time())
+   check.cmd <- get_check_cmd(rev.dep.release.tar.gz)
+   system(check.cmd)
+   print(Sys.time())
+   dest.Rcheck <- file.path(
+     Rvers,
+     paste0(dt.version, ".Rcheck"))
+   unlink(dest.Rcheck, recursive=TRUE)
+   file.rename(pkg.Rcheck, dest.Rcheck)
+   Rcheck.list[[dt.version]] <- file.path(dest.Rcheck, "00check.log")
+ }
[1] "2025-05-17 00:46:16 MST"
Installing package into '/tmp/th798/17291122/R-release/847/library'
(as 'lib' is unspecified)
* installing *source* package 'data.table' ...
** this is package 'data.table' version '1.17.2'
** package 'data.table' successfully unpacked and MD5 sums checked
** using staged installation
zlib 1.2.13 is available ok
* checking if R installation supports OpenMP without any extra hints... yes
** libs
using C compiler: 'gcc (Spack GCC) 12.2.0'
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c assign.c -o assign.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c between.c -o between.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c bmerge.c -o bmerge.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c chmatch.c -o chmatch.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c cj.c -o cj.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c coalesce.c -o coalesce.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c dogroups.c -o dogroups.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c fastmean.c -o fastmean.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c fcast.c -o fcast.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c fifelse.c -o fifelse.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c fmelt.c -o fmelt.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c forder.c -o forder.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c frank.c -o frank.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c fread.c -o fread.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c freadR.c -o freadR.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c froll.c -o froll.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c frollR.c -o frollR.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c frolladaptive.c -o frolladaptive.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c fsort.c -o fsort.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c fwrite.c -o fwrite.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c fwriteR.c -o fwriteR.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c gsumm.c -o gsumm.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c idatetime.c -o idatetime.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c ijoin.c -o ijoin.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c init.c -o init.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c inrange.c -o inrange.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c nafill.c -o nafill.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c negate.c -o negate.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c nqrecreateindices.c -o nqrecreateindices.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c openmp-utils.c -o openmp-utils.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c programming.c -o programming.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c quickselect.c -o quickselect.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c rbindlist.c -o rbindlist.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c reorder.c -o reorder.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c shift.c -o shift.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c snprintf.c -o snprintf.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c subset.c -o subset.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c transpose.c -o transpose.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c types.c -o types.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c uniqlist.c -o uniqlist.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c utils.c -o utils.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c vecseq.c -o vecseq.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c wrappers.c -o wrappers.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o data.table.so assign.o between.o bmerge.o chmatch.o cj.o coalesce.o dogroups.o fastmean.o fcast.o fifelse.o fmelt.o forder.o frank.o fread.o freadR.o froll.o frollR.o frolladaptive.o fsort.o fwrite.o fwriteR.o gsumm.o idatetime.o ijoin.o init.o inrange.o nafill.o negate.o nqrecreateindices.o openmp-utils.o programming.o quickselect.o rbindlist.o reorder.o shift.o snprintf.o subset.o transpose.o types.o uniqlist.o utils.o vecseq.o wrappers.o -fopenmp -L/home/th798/.conda/envs/emacs1/lib -lz
PKG_CFLAGS = -fopenmp -I/home/th798/.conda/envs/emacs1/include
PKG_LIBS = -fopenmp -L/home/th798/.conda/envs/emacs1/lib -lz
if [ "data.table.so" != "data_table.so" ]; then mv data.table.so data_table.so; fi
if [ "" != "Windows_NT" ] && [ `uname -s` = 'Darwin' ]; then install_name_tool -id data_table.so data_table.so; fi
installing to /tmp/th798/17291122/R-release/847/library/00LOCK-data.table/00new/data.table/libs
** 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
** checking absolute paths in shared objects and dynamic libraries
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (data.table)
[1] "2025-05-17 00:46:34 MST"
* using log directory '/tmp/th798/17291122/R-release/847/mlr3learners.Rcheck'
* using R version 4.5.0 (2025-04-11)
* using platform: x86_64-pc-linux-gnu
* R was compiled by
    gcc (Spack GCC) 12.2.0
    GNU Fortran (Spack GCC) 12.2.0
* running under: Red Hat Enterprise Linux 8.10 (Ootpa)
* using session charset: ASCII
* checking for file 'mlr3learners/DESCRIPTION' ... OK
* this is package 'mlr3learners' version '0.10.0'
* 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 executable files ... OK
* checking for hidden files and directories ... OK
* checking for portable file names ... OK
* checking for sufficient/correct file permissions ... OK
* checking whether package 'mlr3learners' can be installed ... OK
* checking installed package size ... OK
* checking package 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 whether startup messages can be suppressed ... 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 examples ... OK
* checking for unstated dependencies in 'tests' ... OK
* checking tests ...
  Running 'testthat.R'
 ERROR
Running the tests in 'tests/testthat.R' failed.
Complete output:
  > if (requireNamespace("testthat", quietly = TRUE)) {
  +   library("testthat")
  +   library("mlr3learners")
  +   test_check("mlr3learners")
  + }
  Loading required package: mlr3
  # weights:  3 (2 variable)
  initial  value 20.794415 
  final  value 20.190350 
  converged
  # weights:  3 (2 variable)
  initial  value 20.794415 
  final  value 20.190350 
  converged
  # weights:  3 (2 variable)
  initial  value 20.794415 
  final  value 20.794415 
  converged
  # weights:  3 (2 variable)
  initial  value 20.794415 
  final  value 20.794415 
  converged
  # weights:  3 (2 variable)
  initial  value 20.794415 
  final  value 20.794379 
  converged
  # weights:  3 (2 variable)
  initial  value 20.794415 
  final  value 20.794379 
  converged
  # weights:  3 (2 variable)
  initial  value 20.794415 
  final  value 20.727699 
  converged
  # weights:  3 (2 variable)
  initial  value 20.794415 
  final  value 20.727699 
  converged
  # weights:  6 (5 variable)
  initial  value 20.794415 
  final  value 20.062333 
  converged
  # weights:  6 (5 variable)
  initial  value 20.794415 
  final  value 20.062333 
  converged
  # weights:  6 (5 variable)
  initial  value 20.794415 
  final  value 20.062333 
  converged
  # weights:  6 (5 variable)
  initial  value 20.794415 
  final  value 20.062333 
  converged
  # weights:  6 (5 variable)
  initial  value 10.654647 
  iter  10 value 9.254438
  final  value 9.254438 
  converged
  # weights:  6 (5 variable)
  initial  value 10.654647 
  iter  10 value 9.254438
  final  value 9.254438 
  converged
  # weights:  6 (5 variable)
  initial  value 20.794415 
  final  value 20.062333 
  converged
  # weights:  6 (5 variable)
  initial  value 20.794415 
  final  value 20.062333 
  converged
  # weights:  9 (4 variable)
  initial  value 32.958369 
  final  value 31.732830 
  converged
  # weights:  9 (4 variable)
  initial  value 32.958369 
  final  value 31.732830 
  converged
  # weights:  9 (4 variable)
  initial  value 32.958369 
  final  value 31.567916 
  converged
  # weights:  9 (4 variable)
  initial  value 32.958369 
  final  value 31.567916 
  converged
  # weights:  9 (4 variable)
  initial  value 32.958369 
  iter  10 value 31.534075
  iter  10 value 31.534075
  final  value 31.534075 
  converged
  # weights:  9 (4 variable)
  initial  value 32.958369 
  iter  10 value 31.534075
  iter  10 value 31.534075
  final  value 31.534075 
  converged
  # weights:  9 (4 variable)
  initial  value 32.958369 
  final  value 32.555658 
  converged
  # weights:  9 (4 variable)
  initial  value 32.958369 
  final  value 32.555658 
  converged
  # weights:  18 (10 variable)
  initial  value 32.958369 
  iter  10 value 27.586992
  final  value 27.585866 
  converged
  # weights:  18 (10 variable)
  initial  value 32.958369 
  iter  10 value 27.586992
  final  value 27.585866 
  converged
  # weights:  18 (10 variable)
  initial  value 32.958369 
  iter  10 value 27.586992
  final  value 27.585866 
  converged
  # weights:  18 (10 variable)
  initial  value 32.958369 
  iter  10 value 27.586992
  final  value 27.585866 
  converged
  # weights:  18 (10 variable)
  initial  value 18.020408 
  iter  10 value 14.336044
  iter  20 value 14.327678
  final  value 14.327671 
  converged
  # weights:  18 (10 variable)
  initial  value 18.020408 
  iter  10 value 14.336044
  iter  20 value 14.327678
  final  value 14.327671 
  converged
  # weights:  18 (10 variable)
  initial  value 32.958369 
  iter  10 value 27.586992
  final  value 27.585866 
  converged
  # weights:  18 (10 variable)
  initial  value 32.958369 
  iter  10 value 27.586992
  final  value 27.585866 
  converged
  # weights:  4 (3 variable)
  initial  value 138.629436 
  iter  10 value 0.097335
  iter  20 value 0.008928
  iter  30 value 0.003213
  iter  40 value 0.002454
  iter  50 value 0.002153
  iter  60 value 0.001766
  iter  70 value 0.001529
  iter  80 value 0.001283
  iter  90 value 0.001169
  iter 100 value 0.000964
  final  value 0.000964 
  stopped after 100 iterations
  # weights:  4 (3 variable)
  initial  value 138.629436 
  iter  10 value 0.097335
  iter  20 value 0.008928
  iter  30 value 0.003213
  iter  40 value 0.002454
  iter  50 value 0.002153
  iter  60 value 0.001766
  iter  70 value 0.001529
  iter  80 value 0.001283
  iter  90 value 0.001169
  iter 100 value 0.000964
  final  value 0.000964 
  stopped after 100 iterations
  # weights:  4 (3 variable)
  initial  value 138.629436 
  iter  10 value 0.097335
  iter  20 value 0.008928
  iter  30 value 0.003213
  iter  40 value 0.002454
  iter  50 value 0.002153
  iter  60 value 0.001766
  iter  70 value 0.001529
  iter  80 value 0.001283
  iter  90 value 0.001169
  iter 100 value 0.000964
  final  value 0.000964 
  stopped after 100 iterations
  # weights:  4 (3 variable)
  initial  value 138.629436 
  iter  10 value 0.097335
  iter  20 value 0.008928
  iter  30 value 0.003213
  iter  40 value 0.002454
  iter  50 value 0.002153
  iter  60 value 0.001766
  iter  70 value 0.001529
  iter  80 value 0.001283
  iter  90 value 0.001169
  iter 100 value 0.000964
  final  value 0.000964 
  stopped after 100 iterations
  # weights:  4 (3 variable)
  initial  value 138.629436 
  iter  10 value 0.097335
  iter  20 value 0.008928
  iter  30 value 0.003213
  iter  40 value 0.002454
  iter  50 value 0.002153
  iter  60 value 0.001766
  iter  70 value 0.001529
  iter  80 value 0.001283
  iter  90 value 0.001169
  iter 100 value 0.000964
  final  value 0.000964 
  stopped after 100 iterations
  # weights:  4 (3 variable)
  initial  value 138.629436 
  iter  10 value 0.097335
  iter  20 value 0.008928
  iter  30 value 0.003213
  iter  40 value 0.002454
  iter  50 value 0.002153
  iter  60 value 0.001766
  iter  70 value 0.001529
  iter  80 value 0.001283
  iter  90 value 0.001169
  iter 100 value 0.000964
  final  value 0.000964 
  stopped after 100 iterations
  # weights:  18 (10 variable)
  initial  value 164.791843 
  iter  10 value 16.177348
  iter  20 value 7.111438
  iter  30 value 6.182999
  iter  40 value 5.984028
  iter  50 value 5.961278
  iter  60 value 5.954900
  iter  70 value 5.951851
  iter  80 value 5.950343
  iter  90 value 5.949904
  iter 100 value 5.949867
  final  value 5.949867 
  stopped after 100 iterations
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 1.201762e-08 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.754029 
    - variance bounds :  0.1158209 12.01762 
    - best initial criterion value(s) :  -486.5295 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       486.53  |proj g|=       10.824
  At iterate     1  f =       110.56  |proj g|=        1.8764
  At iterate     2  f =       76.367  |proj g|=        1.5471
  ys=-2.599e+01  -gs= 1.943e+01, BFGS update SKIPPED
  At iterate     3  f =       75.838  |proj g|=        1.4182
  At iterate     4  f =       75.062  |proj g|=        0.9061
  At iterate     5  f =       75.051  |proj g|=       0.76647
  At iterate     6  f =       75.037  |proj g|=      0.066852
  At iterate     7  f =       75.037  |proj g|=     0.0044647
  At iterate     8  f =       75.037  |proj g|=     2.836e-05
  At iterate     9  f =       75.037  |proj g|=    1.1936e-08
  
  iterations 9
  function evaluations 28
  segments explored during Cauchy searches 12
  BFGS updates skipped 1
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 1.19362e-08
  final function value 75.0366
  
  F = 75.0366
  final  value 75.036586 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 1.201762e-08 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.754029 
    - variance bounds :  0.1158209 12.01762 
    - best initial criterion value(s) :  -486.5295 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       486.53  |proj g|=       10.824
  At iterate     1  f =       110.56  |proj g|=        1.8764
  At iterate     2  f =       76.367  |proj g|=        1.5471
  ys=-2.599e+01  -gs= 1.943e+01, BFGS update SKIPPED
  At iterate     3  f =       75.838  |proj g|=        1.4182
  At iterate     4  f =       75.062  |proj g|=        0.9061
  At iterate     5  f =       75.051  |proj g|=       0.76647
  At iterate     6  f =       75.037  |proj g|=      0.066852
  At iterate     7  f =       75.037  |proj g|=     0.0044647
  At iterate     8  f =       75.037  |proj g|=     2.836e-05
  At iterate     9  f =       75.037  |proj g|=    1.1936e-08
  
  iterations 9
  function evaluations 28
  segments explored during Cauchy searches 12
  BFGS updates skipped 1
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 1.19362e-08
  final function value 75.0366
  
  F = 75.0366
  final  value 75.036586 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 1.201762e-08 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.754029 
    - variance bounds :  0.1158209 12.01762 
    - best initial criterion value(s) :  -1330.483 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       1330.5  |proj g|=       11.271
  At iterate     1  f =       110.56  |proj g|=        1.8764
  At iterate     2  f =       76.326  |proj g|=        1.5377
  ys=-2.564e+01  -gs= 1.945e+01, BFGS update SKIPPED
  At iterate     3  f =        75.66  |proj g|=        1.3693
  At iterate     4  f =       75.051  |proj g|=       0.67764
  At iterate     5  f =       75.042  |proj g|=       0.45661
  At iterate     6  f =       75.037  |proj g|=          0.03
  At iterate     7  f =       75.037  |proj g|=     0.0012293
  At iterate     8  f =       75.037  |proj g|=    3.4876e-06
  
  iterations 8
  function evaluations 20
  segments explored during Cauchy searches 10
  BFGS updates skipped 1
  active bounds at final generalized Cauchy point 1
  norm of the final projected gradient 3.48761e-06
  final function value 75.0366
  
  F = 75.0366
  final  value 75.036586 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 1.201762e-08 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.754029 
    - variance bounds :  0.1158209 12.01762 
    - best initial criterion value(s) :  -1330.483 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       1330.5  |proj g|=       11.271
  At iterate     1  f =       110.56  |proj g|=        1.8764
  At iterate     2  f =       76.326  |proj g|=        1.5377
  ys=-2.564e+01  -gs= 1.945e+01, BFGS update SKIPPED
  At iterate     3  f =        75.66  |proj g|=        1.3693
  At iterate     4  f =       75.051  |proj g|=       0.67764
  At iterate     5  f =       75.042  |proj g|=       0.45661
  At iterate     6  f =       75.037  |proj g|=          0.03
  At iterate     7  f =       75.037  |proj g|=     0.0012293
  At iterate     8  f =       75.037  |proj g|=    3.4876e-06
  
  iterations 8
  function evaluations 20
  segments explored during Cauchy searches 10
  BFGS updates skipped 1
  active bounds at final generalized Cauchy point 1
  norm of the final projected gradient 3.48761e-06
  final function value 75.0366
  
  F = 75.0366
  final  value 75.036586 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 1.201762e-08 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.754029 
    - variance bounds :  0.1158209 12.01762 
    - best initial criterion value(s) :  -724505.2 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=   7.2451e+05  |proj g|=        11.24
  At iterate     1  f =       110.56  |proj g|=        1.8764
  At iterate     2  f =       77.002  |proj g|=        1.6849
  ys=-2.990e+01  -gs= 1.917e+01, BFGS update SKIPPED
  At iterate     3  f =       76.228  |proj g|=         1.515
  At iterate     4  f =       75.048  |proj g|=       0.61648
  At iterate     5  f =       75.037  |proj g|=      0.037899
  At iterate     6  f =       75.037  |proj g|=     0.0023867
  At iterate     7  f =       75.037  |proj g|=    8.5581e-06
  
  iterations 7
  function evaluations 30
  segments explored during Cauchy searches 10
  BFGS updates skipped 1
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 8.55813e-06
  final function value 75.0366
  
  F = 75.0366
  final  value 75.036586 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 1.201762e-08 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.754029 
    - variance bounds :  0.1158209 12.01762 
    - best initial criterion value(s) :  -39892.43 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=        39892  |proj g|=       10.396
  At iterate     1  f =       110.56  |proj g|=        1.8764
  At iterate     2  f =       75.213  |proj g|=        1.2137
  ys=-2.887e+00  -gs= 2.006e+01, BFGS update SKIPPED
  At iterate     3  f =       75.155  |proj g|=        1.1846
  At iterate     4  f =       75.049  |proj g|=       0.68582
  At iterate     5  f =       75.037  |proj g|=       0.13702
  At iterate     6  f =       75.037  |proj g|=     0.0083245
  At iterate     7  f =       75.037  |proj g|=    0.00010934
  At iterate     8  f =       75.037  |proj g|=    8.5842e-08
  
  iterations 8
  function evaluations 28
  segments explored during Cauchy searches 11
  BFGS updates skipped 1
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 8.58422e-08
  final function value 75.0366
  
  F = 75.0366
  final  value 75.036586 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 3.435024e-07 
    - parameters lower bounds :  1e-10 1e-10 
    - parameters upper bounds :  1.880582 44.27959 
    - variance bounds :  3.435024 622.0591 
    - best initial criterion value(s) :  -1635.72 
  
  N = 3, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       1635.7  |proj g|=       47.633
  At iterate     1  f =       331.77  |proj g|=       0.36082
  At iterate     2  f =       319.04  |proj g|=       0.20729
  At iterate     3  f =        318.3  |proj g|=      0.075846
  Nonpositive definiteness in Cholesky factorization in formk;
     refresh the lbfgs memory and restart the iteration.
  At iterate     4  f =       318.27  |proj g|=      0.062501
  At iterate     5  f =       318.22  |proj g|=     0.0084312
  At iterate     6  f =       318.22  |proj g|=    0.00079105
  At iterate     7  f =       318.22  |proj g|=    8.9563e-06
  At iterate     8  f =       318.22  |proj g|=    9.6504e-09
  
  iterations 8
  function evaluations 18
  segments explored during Cauchy searches 12
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 2
  norm of the final projected gradient 9.65044e-09
  final function value 318.222
  
  F = 318.222
  final  value 318.221782 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 3.435024e-07 
    - parameters lower bounds :  1e-10 1e-10 
    - parameters upper bounds :  1.880582 44.27959 
    - variance bounds :  3.435024 622.0591 
    - best initial criterion value(s) :  -4725.732 
  
  N = 3, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       4725.7  |proj g|=         72.5
  At iterate     1  f =       350.09  |proj g|=       0.27544
  At iterate     2  f =       318.31  |proj g|=      0.079687
  At iterate     3  f =       318.22  |proj g|=     0.0077558
  Nonpositive definiteness in Cholesky factorization in formk;
     refresh the lbfgs memory and restart the iteration.
  At iterate     4  f =       318.22  |proj g|=     0.0061108
  At iterate     5  f =       318.22  |proj g|=    6.6026e-05
  At iterate     6  f =       318.22  |proj g|=    5.5453e-07
  
  iterations 6
  function evaluations 20
  segments explored during Cauchy searches 10
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 2
  norm of the final projected gradient 5.54534e-07
  final function value 318.222
  
  F = 318.222
  final  value 318.221782 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 3.435024e-07 
    - parameters lower bounds :  1e-10 1e-10 
    - parameters upper bounds :  1.880582 44.27959 
    - variance bounds :  3.435024 622.0591 
    - best initial criterion value(s) :  -11645.66 
  
  N = 3, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=        11646  |proj g|=       205.99
  At iterate     1  f =       376.84  |proj g|=       0.16595
  At iterate     2  f =       318.29  |proj g|=       0.07007
  At iterate     3  f =       318.22  |proj g|=     0.0065538
  Nonpositive definiteness in Cholesky factorization in formk;
     refresh the lbfgs memory and restart the iteration.
  At iterate     4  f =       318.22  |proj g|=     0.0051596
  At iterate     5  f =       318.22  |proj g|=    4.6933e-05
  At iterate     6  f =       318.22  |proj g|=    3.3229e-07
  
  iterations 6
  function evaluations 19
  segments explored during Cauchy searches 10
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 2
  norm of the final projected gradient 3.32285e-07
  final function value 318.222
  
  F = 318.222
  final  value 318.221782 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 3.435024e-07 
    - parameters lower bounds :  1e-10 1e-10 
    - parameters upper bounds :  1.880582 44.27959 
    - variance bounds :  3.435024 622.0591 
    - best initial criterion value(s) :  -2745.336 
  
  N = 3, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       2745.3  |proj g|=       35.632
  At iterate     1  f =       341.57  |proj g|=       0.31803
  At iterate     2  f =       318.33  |proj g|=      0.089393
  At iterate     3  f =       318.22  |proj g|=     0.0065748
  At iterate     4  f =       318.22  |proj g|=    0.00095856
  At iterate     5  f =       318.22  |proj g|=    8.6557e-06
  At iterate     6  f =       318.22  |proj g|=    1.1268e-08
  
  iterations 6
  function evaluations 18
  segments explored during Cauchy searches 8
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 2
  norm of the final projected gradient 1.1268e-08
  final function value 318.222
  
  F = 318.222
  final  value 318.221782 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 9.661654e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.968107 
    - variance bounds :  0.09524022 9.661654 
    - best initial criterion value(s) :  -25966.39 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=        25966  |proj g|=       8.5662
  At iterate     1  f =        105.1  |proj g|=         2.334
  At iterate     2  f =       70.962  |proj g|=        1.2509
  ys=-2.640e+01  -gs= 1.941e+01, BFGS update SKIPPED
  At iterate     3  f =       69.782  |proj g|=       0.98236
  At iterate     4  f =       69.582  |proj g|=       0.23258
  At iterate     5  f =       69.581  |proj g|=      0.070667
  At iterate     6  f =       69.581  |proj g|=     0.0012645
  At iterate     7  f =       69.581  |proj g|=    6.7243e-06
  
  iterations 7
  function evaluations 31
  segments explored during Cauchy searches 10
  BFGS updates skipped 1
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 6.72432e-06
  final function value 69.5814
  
  F = 69.5814
  final  value 69.581353 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 9.661654e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.968107 
    - variance bounds :  0.09524022 9.661654 
    - best initial criterion value(s) :  -25966.39 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=        25966  |proj g|=       8.5662
  At iterate     1  f =        105.1  |proj g|=         2.334
  At iterate     2  f =       70.962  |proj g|=        1.2509
  ys=-2.640e+01  -gs= 1.941e+01, BFGS update SKIPPED
  At iterate     3  f =       69.782  |proj g|=       0.98236
  At iterate     4  f =       69.582  |proj g|=       0.23258
  At iterate     5  f =       69.581  |proj g|=      0.070667
  At iterate     6  f =       69.581  |proj g|=     0.0012645
  At iterate     7  f =       69.581  |proj g|=    6.7243e-06
  
  iterations 7
  function evaluations 31
  segments explored during Cauchy searches 10
  BFGS updates skipped 1
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 6.72432e-06
  final function value 69.5814
  
  F = 69.5814
  final  value 69.581353 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 9.661654e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.968107 
    - variance bounds :  0.09524022 9.661654 
    - best initial criterion value(s) :  -8966.809 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       8966.8  |proj g|=        8.479
  At iterate     1  f =        105.1  |proj g|=         2.334
  At iterate     2  f =       72.033  |proj g|=         1.432
  ys=-3.162e+01  -gs= 1.899e+01, BFGS update SKIPPED
  At iterate     3  f =       69.653  |proj g|=       0.92701
  At iterate     4  f =       69.582  |proj g|=       0.12937
  At iterate     5  f =       69.581  |proj g|=      0.021737
  At iterate     6  f =       69.581  |proj g|=    0.00021522
  At iterate     7  f =       69.581  |proj g|=    3.5364e-07
  
  iterations 7
  function evaluations 32
  segments explored during Cauchy searches 10
  BFGS updates skipped 1
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 3.53642e-07
  final function value 69.5814
  
  F = 69.5814
  final  value 69.581353 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 9.661654e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.968107 
    - variance bounds :  0.09524022 9.661654 
    - best initial criterion value(s) :  -8966.809 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       8966.8  |proj g|=        8.479
  At iterate     1  f =        105.1  |proj g|=         2.334
  At iterate     2  f =       72.033  |proj g|=         1.432
  ys=-3.162e+01  -gs= 1.899e+01, BFGS update SKIPPED
  At iterate     3  f =       69.653  |proj g|=       0.92701
  At iterate     4  f =       69.582  |proj g|=       0.12937
  At iterate     5  f =       69.581  |proj g|=      0.021737
  At iterate     6  f =       69.581  |proj g|=    0.00021522
  At iterate     7  f =       69.581  |proj g|=    3.5364e-07
  
  iterations 7
  function evaluations 32
  segments explored during Cauchy searches 10
  BFGS updates skipped 1
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 3.53642e-07
  final function value 69.5814
  
  F = 69.5814
  final  value 69.581353 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 9.661654e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.968107 
    - variance bounds :  0.09524022 9.661654 
    - best initial criterion value(s) :  -112451.6 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=   1.1245e+05  |proj g|=        8.879
  At iterate     1  f =        105.1  |proj g|=         2.334
  At iterate     2  f =       69.702  |proj g|=       0.95122
  At iterate     3  f =       69.582  |proj g|=       0.23745
  At iterate     4  f =       69.581  |proj g|=      0.054067
  At iterate     5  f =       69.581  |proj g|=    0.00098973
  At iterate     6  f =       69.581  |proj g|=    4.0331e-06
  
  iterations 6
  function evaluations 24
  segments explored during Cauchy searches 10
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 2
  norm of the final projected gradient 4.03311e-06
  final function value 69.5814
  
  F = 69.5814
  final  value 69.581353 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 9.661654e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.968107 
    - variance bounds :  0.09524022 9.661654 
    - best initial criterion value(s) :  -617.3145 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       617.31  |proj g|=       8.6608
  At iterate     1  f =        105.1  |proj g|=         2.334
  At iterate     2  f =       70.589  |proj g|=        1.1803
  ys=-2.278e+01  -gs= 1.957e+01, BFGS update SKIPPED
  At iterate     3  f =       69.957  |proj g|=        1.0367
  At iterate     4  f =       69.584  |proj g|=       0.36572
  At iterate     5  f =       69.582  |proj g|=       0.16502
  At iterate     6  f =       69.581  |proj g|=     0.0046615
  At iterate     7  f =       69.581  |proj g|=    5.7398e-05
  At iterate     8  f =       69.581  |proj g|=    2.0276e-08
  
  iterations 8
  function evaluations 30
  segments explored during Cauchy searches 11
  BFGS updates skipped 1
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 2.02762e-08
  final function value 69.5814
  
  F = 69.5814
  final  value 69.581353 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 3.435024e-07 
    - parameters lower bounds :  1e-10 1e-10 
    - parameters upper bounds :  1.880582 44.27959 
    - variance bounds :  3.435024 622.0591 
    - best initial criterion value(s) :  -250.1387 
  
  N = 3, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       250.14  |proj g|=       2.7943
  At iterate     1  f =        248.1  |proj g|=        1.3195
  At iterate     2  f =       246.66  |proj g|=        1.3708
  At iterate     3  f =       245.22  |proj g|=        1.7329
  At iterate     4  f =        244.6  |proj g|=       0.93767
  At iterate     5  f =       244.58  |proj g|=       0.20904
  At iterate     6  f =       244.58  |proj g|=       0.20987
  At iterate     7  f =       244.58  |proj g|=        1.3167
  At iterate     8  f =       244.58  |proj g|=        1.7164
  At iterate     9  f =       244.58  |proj g|=        1.7168
  At iterate    10  f =       244.58  |proj g|=        1.7173
  At iterate    11  f =       244.56  |proj g|=         1.718
  At iterate    12  f =       244.53  |proj g|=        2.4487
  At iterate    13  f =       244.46  |proj g|=         4.015
  At iterate    14  f =       244.35  |proj g|=        5.6738
  At iterate    15  f =       244.13  |proj g|=        6.9624
  At iterate    16  f =       243.96  |proj g|=        7.0394
  At iterate    17  f =       243.77  |proj g|=        2.8001
  At iterate    18  f =       243.45  |proj g|=       0.15884
  At iterate    19  f =       243.28  |proj g|=        1.7279
  At iterate    20  f =       243.27  |proj g|=       0.15287
  At iterate    21  f =       243.26  |proj g|=       0.15652
  At iterate    22  f =       243.26  |proj g|=       0.13826
  At iterate    23  f =       243.26  |proj g|=     0.0064349
  At iterate    24  f =       243.26  |proj g|=     0.0021043
  
  iterations 24
  function evaluations 29
  segments explored during Cauchy searches 25
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 0
  norm of the final projected gradient 0.00210434
  final function value 243.264
  
  F = 243.264
  final  value 243.264413 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 3.435024e-07 
    - parameters lower bounds :  1e-10 1e-10 
    - parameters upper bounds :  1.880582 44.27959 
    - variance bounds :  3.435024 622.0591 
    - best initial criterion value(s) :  -2777.915 
  
  N = 3, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       2777.9  |proj g|=       59.169
  At iterate     1  f =       340.22  |proj g|=       0.32474
  At iterate     2  f =       318.49  |proj g|=       0.13242
  At iterate     3  f =       318.22  |proj g|=      0.013749
  Nonpositive definiteness in Cholesky factorization in formk;
     refresh the lbfgs memory and restart the iteration.
  At iterate     4  f =       318.22  |proj g|=      0.010876
  At iterate     5  f =       318.22  |proj g|=    0.00021231
  At iterate     6  f =       318.22  |proj g|=    3.1992e-06
  
  iterations 6
  function evaluations 25
  segments explored during Cauchy searches 10
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 2
  norm of the final projected gradient 3.19916e-06
  final function value 318.222
  
  F = 318.222
  final  value 318.221782 
  converged
  [ FAIL 2 | WARN 227 | SKIP 4 | PASS 547 ]
  
  == Skipped tests (4) ===========================================================
  * On CRAN (4): 'test_classif_nnet.R:2:1', 'test_classif_xgboost.R:2:1',
    'test_regr_nnet.R:2:1', 'test_regr_xgboost.R:2:1'
  
  == Failed tests ================================================================
  -- Failure ('test_classif_ranger.R:8:3'): autotest -----------------------------
  `result` is not TRUE
  
  `actual` is a list
  `expected` is a logical vector (TRUE)
  [train()] learner 'classif.ranger:response' on task 'missings_binary' failed: Error : Missing data in columns: character, factor, integer, logical, numeric, ordered.
  
  -- Failure ('test_regr_ranger.R:7:3'): autotest --------------------------------
  `result` is not TRUE
  
  `actual` is a list
  `expected` is a logical vector (TRUE)
  [train()] learner 'regr.ranger:response' on task 'missings' failed: Error : Missing data in columns: character, factor, integer, logical, numeric, ordered.
  
  
  [ FAIL 2 | WARN 227 | SKIP 4 | PASS 547 ]
  Error: Test failures
  Execution halted
* checking PDF version of manual ... OK
* DONE

Status: 1 ERROR
See
  '/tmp/th798/17291122/R-release/847/mlr3learners.Rcheck/00check.log'
for details.

[1] "2025-05-17 00:48:12 MST"
[1] "2025-05-17 00:48:12 MST"
Installing package into '/tmp/th798/17291122/R-release/847/library'
(as 'lib' is unspecified)
* installing *source* package 'data.table' ...
** this is package 'data.table' version '1.17.99'
** using staged installation
zlib 1.2.13 is available ok
* checking if R installation supports OpenMP without any extra hints... yes
** libs
using C compiler: 'gcc (Spack GCC) 12.2.0'
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c assign.c -o assign.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c between.c -o between.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c bmerge.c -o bmerge.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c chmatch.c -o chmatch.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c cj.c -o cj.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c coalesce.c -o coalesce.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c dogroups.c -o dogroups.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c fastmean.c -o fastmean.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c fcast.c -o fcast.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c fifelse.c -o fifelse.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c fmelt.c -o fmelt.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c forder.c -o forder.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c frank.c -o frank.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c fread.c -o fread.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c freadR.c -o freadR.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c froll.c -o froll.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c frollR.c -o frollR.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c frolladaptive.c -o frolladaptive.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c fsort.c -o fsort.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c fwrite.c -o fwrite.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c fwriteR.c -o fwriteR.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c gsumm.c -o gsumm.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c idatetime.c -o idatetime.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c ijoin.c -o ijoin.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c init.c -o init.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c inrange.c -o inrange.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c nafill.c -o nafill.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c negate.c -o negate.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c nqrecreateindices.c -o nqrecreateindices.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c openmp-utils.c -o openmp-utils.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c programming.c -o programming.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c quickselect.c -o quickselect.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c rbindlist.c -o rbindlist.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c reorder.c -o reorder.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c shift.c -o shift.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c snprintf.c -o snprintf.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c subset.c -o subset.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c transpose.c -o transpose.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c types.c -o types.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c uniqlist.c -o uniqlist.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c utils.c -o utils.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c vecseq.c -o vecseq.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c wrappers.c -o wrappers.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o data.table.so assign.o between.o bmerge.o chmatch.o cj.o coalesce.o dogroups.o fastmean.o fcast.o fifelse.o fmelt.o forder.o frank.o fread.o freadR.o froll.o frollR.o frolladaptive.o fsort.o fwrite.o fwriteR.o gsumm.o idatetime.o ijoin.o init.o inrange.o nafill.o negate.o nqrecreateindices.o openmp-utils.o programming.o quickselect.o rbindlist.o reorder.o shift.o snprintf.o subset.o transpose.o types.o uniqlist.o utils.o vecseq.o wrappers.o -fopenmp -L/home/th798/.conda/envs/emacs1/lib -lz
PKG_CFLAGS = -fopenmp -I/home/th798/.conda/envs/emacs1/include
PKG_LIBS = -fopenmp -L/home/th798/.conda/envs/emacs1/lib -lz
if [ "data.table.so" != "data_table.so" ]; then mv data.table.so data_table.so; fi
if [ "" != "Windows_NT" ] && [ `uname -s` = 'Darwin' ]; then install_name_tool -id data_table.so data_table.so; fi
installing to /tmp/th798/17291122/R-release/847/library/00LOCK-data.table/00new/data.table/libs
** 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
** checking absolute paths in shared objects and dynamic libraries
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (data.table)
[1] "2025-05-17 00:48:31 MST"
* using log directory '/tmp/th798/17291122/R-release/847/mlr3learners.Rcheck'
* using R version 4.5.0 (2025-04-11)
* using platform: x86_64-pc-linux-gnu
* R was compiled by
    gcc (Spack GCC) 12.2.0
    GNU Fortran (Spack GCC) 12.2.0
* running under: Red Hat Enterprise Linux 8.10 (Ootpa)
* using session charset: ASCII
* checking for file 'mlr3learners/DESCRIPTION' ... OK
* this is package 'mlr3learners' version '0.10.0'
* 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 executable files ... OK
* checking for hidden files and directories ... OK
* checking for portable file names ... OK
* checking for sufficient/correct file permissions ... OK
* checking whether package 'mlr3learners' can be installed ... OK
* checking installed package size ... OK
* checking package 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 whether startup messages can be suppressed ... 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 examples ... OK
* checking for unstated dependencies in 'tests' ... OK
* checking tests ...
  Running 'testthat.R'
 ERROR
Running the tests in 'tests/testthat.R' failed.
Complete output:
  > if (requireNamespace("testthat", quietly = TRUE)) {
  +   library("testthat")
  +   library("mlr3learners")
  +   test_check("mlr3learners")
  + }
  Loading required package: mlr3
  # weights:  3 (2 variable)
  initial  value 20.794415 
  final  value 20.727699 
  converged
  # weights:  3 (2 variable)
  initial  value 20.794415 
  final  value 20.727699 
  converged
  # weights:  3 (2 variable)
  initial  value 20.794415 
  final  value 20.391705 
  converged
  # weights:  3 (2 variable)
  initial  value 20.794415 
  final  value 20.391705 
  converged
  # weights:  3 (2 variable)
  initial  value 20.794415 
  final  value 19.666795 
  converged
  # weights:  3 (2 variable)
  initial  value 20.794415 
  final  value 19.666795 
  converged
  # weights:  3 (2 variable)
  initial  value 20.794415 
  final  value 19.095425 
  converged
  # weights:  3 (2 variable)
  initial  value 20.794415 
  final  value 19.095425 
  converged
  # weights:  6 (5 variable)
  initial  value 20.794415 
  iter  10 value 18.216108
  iter  10 value 18.216108
  iter  10 value 18.216108
  final  value 18.216108 
  converged
  # weights:  6 (5 variable)
  initial  value 20.794415 
  iter  10 value 18.216108
  iter  10 value 18.216108
  iter  10 value 18.216108
  final  value 18.216108 
  converged
  # weights:  6 (5 variable)
  initial  value 20.794415 
  iter  10 value 18.216108
  iter  10 value 18.216108
  iter  10 value 18.216108
  final  value 18.216108 
  converged
  # weights:  6 (5 variable)
  initial  value 20.794415 
  iter  10 value 18.216108
  iter  10 value 18.216108
  iter  10 value 18.216108
  final  value 18.216108 
  converged
  # weights:  6 (5 variable)
  initial  value 10.250263 
  iter  10 value 9.540951
  final  value 9.540949 
  converged
  # weights:  6 (5 variable)
  initial  value 10.250263 
  iter  10 value 9.540951
  final  value 9.540949 
  converged
  # weights:  6 (5 variable)
  initial  value 20.794415 
  iter  10 value 18.216108
  iter  10 value 18.216108
  iter  10 value 18.216108
  final  value 18.216108 
  converged
  # weights:  6 (5 variable)
  initial  value 20.794415 
  iter  10 value 18.216108
  iter  10 value 18.216108
  iter  10 value 18.216108
  final  value 18.216108 
  converged
  # weights:  9 (4 variable)
  initial  value 32.958369 
  final  value 32.958369 
  converged
  # weights:  9 (4 variable)
  initial  value 32.958369 
  final  value 32.958369 
  converged
  # weights:  9 (4 variable)
  initial  value 32.958369 
  final  value 32.504055 
  converged
  # weights:  9 (4 variable)
  initial  value 32.958369 
  final  value 32.504055 
  converged
  # weights:  9 (4 variable)
  initial  value 32.958369 
  final  value 32.179123 
  converged
  # weights:  9 (4 variable)
  initial  value 32.958369 
  final  value 32.179123 
  converged
  # weights:  9 (4 variable)
  initial  value 32.958369 
  final  value 31.732830 
  converged
  # weights:  9 (4 variable)
  initial  value 32.958369 
  final  value 31.732830 
  converged
  # weights:  18 (10 variable)
  initial  value 32.958369 
  iter  10 value 29.699178
  final  value 29.687964 
  converged
  # weights:  18 (10 variable)
  initial  value 32.958369 
  iter  10 value 29.699178
  final  value 29.687964 
  converged
  # weights:  18 (10 variable)
  initial  value 32.958369 
  iter  10 value 29.699178
  final  value 29.687964 
  converged
  # weights:  18 (10 variable)
  initial  value 32.958369 
  iter  10 value 29.699178
  final  value 29.687964 
  converged
  # weights:  18 (10 variable)
  initial  value 15.068136 
  iter  10 value 11.285787
  iter  20 value 11.245152
  final  value 11.245150 
  converged
  # weights:  18 (10 variable)
  initial  value 15.068136 
  iter  10 value 11.285787
  iter  20 value 11.245152
  final  value 11.245150 
  converged
  # weights:  18 (10 variable)
  initial  value 32.958369 
  iter  10 value 29.699178
  final  value 29.687964 
  converged
  # weights:  18 (10 variable)
  initial  value 32.958369 
  iter  10 value 29.699178
  final  value 29.687964 
  converged
  # weights:  4 (3 variable)
  initial  value 138.629436 
  iter  10 value 0.097335
  iter  20 value 0.008928
  iter  30 value 0.003213
  iter  40 value 0.002454
  iter  50 value 0.002153
  iter  60 value 0.001766
  iter  70 value 0.001529
  iter  80 value 0.001283
  iter  90 value 0.001169
  iter 100 value 0.000964
  final  value 0.000964 
  stopped after 100 iterations
  # weights:  4 (3 variable)
  initial  value 138.629436 
  iter  10 value 0.097335
  iter  20 value 0.008928
  iter  30 value 0.003213
  iter  40 value 0.002454
  iter  50 value 0.002153
  iter  60 value 0.001766
  iter  70 value 0.001529
  iter  80 value 0.001283
  iter  90 value 0.001169
  iter 100 value 0.000964
  final  value 0.000964 
  stopped after 100 iterations
  # weights:  4 (3 variable)
  initial  value 138.629436 
  iter  10 value 0.097335
  iter  20 value 0.008928
  iter  30 value 0.003213
  iter  40 value 0.002454
  iter  50 value 0.002153
  iter  60 value 0.001766
  iter  70 value 0.001529
  iter  80 value 0.001283
  iter  90 value 0.001169
  iter 100 value 0.000964
  final  value 0.000964 
  stopped after 100 iterations
  # weights:  4 (3 variable)
  initial  value 138.629436 
  iter  10 value 0.097335
  iter  20 value 0.008928
  iter  30 value 0.003213
  iter  40 value 0.002454
  iter  50 value 0.002153
  iter  60 value 0.001766
  iter  70 value 0.001529
  iter  80 value 0.001283
  iter  90 value 0.001169
  iter 100 value 0.000964
  final  value 0.000964 
  stopped after 100 iterations
  # weights:  4 (3 variable)
  initial  value 138.629436 
  iter  10 value 0.097335
  iter  20 value 0.008928
  iter  30 value 0.003213
  iter  40 value 0.002454
  iter  50 value 0.002153
  iter  60 value 0.001766
  iter  70 value 0.001529
  iter  80 value 0.001283
  iter  90 value 0.001169
  iter 100 value 0.000964
  final  value 0.000964 
  stopped after 100 iterations
  # weights:  4 (3 variable)
  initial  value 138.629436 
  iter  10 value 0.097335
  iter  20 value 0.008928
  iter  30 value 0.003213
  iter  40 value 0.002454
  iter  50 value 0.002153
  iter  60 value 0.001766
  iter  70 value 0.001529
  iter  80 value 0.001283
  iter  90 value 0.001169
  iter 100 value 0.000964
  final  value 0.000964 
  stopped after 100 iterations
  # weights:  18 (10 variable)
  initial  value 164.791843 
  iter  10 value 16.177348
  iter  20 value 7.111438
  iter  30 value 6.182999
  iter  40 value 5.984028
  iter  50 value 5.961278
  iter  60 value 5.954900
  iter  70 value 5.951851
  iter  80 value 5.950343
  iter  90 value 5.949904
  iter 100 value 5.949867
  final  value 5.949867 
  stopped after 100 iterations
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 9.169331e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.891412 
    - variance bounds :  0.09169331 9.87455 
    - best initial criterion value(s) :  -6028.608 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       6028.6  |proj g|=       8.7969
  At iterate     1  f =       105.47  |proj g|=        2.3014
  At iterate     2  f =       68.789  |proj g|=        1.0171
  ys=-1.730e+01  -gs= 2.017e+01, BFGS update SKIPPED
  At iterate     3  f =       68.637  |proj g|=       0.97917
  At iterate     4  f =       68.297  |proj g|=        0.8468
  At iterate     5  f =       68.279  |proj g|=       0.55518
  At iterate     6  f =       68.274  |proj g|=      0.047816
  At iterate     7  f =       68.274  |proj g|=     0.0018257
  At iterate     8  f =       68.274  |proj g|=    6.3039e-06
  
  iterations 8
  function evaluations 31
  segments explored during Cauchy searches 11
  BFGS updates skipped 1
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 6.30387e-06
  final function value 68.2738
  
  F = 68.2738
  final  value 68.273841 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 9.169331e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.891412 
    - variance bounds :  0.09169331 9.87455 
    - best initial criterion value(s) :  -6028.608 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       6028.6  |proj g|=       8.7969
  At iterate     1  f =       105.47  |proj g|=        2.3014
  At iterate     2  f =       68.789  |proj g|=        1.0171
  ys=-1.730e+01  -gs= 2.017e+01, BFGS update SKIPPED
  At iterate     3  f =       68.637  |proj g|=       0.97917
  At iterate     4  f =       68.297  |proj g|=        0.8468
  At iterate     5  f =       68.279  |proj g|=       0.55518
  At iterate     6  f =       68.274  |proj g|=      0.047816
  At iterate     7  f =       68.274  |proj g|=     0.0018257
  At iterate     8  f =       68.274  |proj g|=    6.3039e-06
  
  iterations 8
  function evaluations 31
  segments explored during Cauchy searches 11
  BFGS updates skipped 1
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 6.30387e-06
  final function value 68.2738
  
  F = 68.2738
  final  value 68.273841 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 9.169331e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.891412 
    - variance bounds :  0.09169331 9.87455 
    - best initial criterion value(s) :  -3089766 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=   3.0898e+06  |proj g|=       8.6084
  At iterate     1  f =       105.47  |proj g|=        2.3014
  At iterate     2  f =       68.505  |proj g|=       0.94107
  ys=-7.457e+00  -gs= 2.035e+01, BFGS update SKIPPED
  At iterate     3  f =       68.419  |proj g|=       0.91119
  At iterate     4  f =       68.295  |proj g|=        1.2058
  At iterate     5  f =       68.275  |proj g|=        0.2615
  At iterate     6  f =       68.274  |proj g|=      0.020931
  At iterate     7  f =       68.274  |proj g|=    0.00040374
  At iterate     8  f =       68.274  |proj g|=    6.0862e-07
  
  iterations 8
  function evaluations 35
  segments explored during Cauchy searches 11
  BFGS updates skipped 1
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 6.08616e-07
  final function value 68.2738
  
  F = 68.2738
  final  value 68.273841 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 9.169331e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.891412 
    - variance bounds :  0.09169331 9.87455 
    - best initial criterion value(s) :  -3089766 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=   3.0898e+06  |proj g|=       8.6084
  At iterate     1  f =       105.47  |proj g|=        2.3014
  At iterate     2  f =       68.505  |proj g|=       0.94107
  ys=-7.457e+00  -gs= 2.035e+01, BFGS update SKIPPED
  At iterate     3  f =       68.419  |proj g|=       0.91119
  At iterate     4  f =       68.295  |proj g|=        1.2058
  At iterate     5  f =       68.275  |proj g|=        0.2615
  At iterate     6  f =       68.274  |proj g|=      0.020931
  At iterate     7  f =       68.274  |proj g|=    0.00040374
  At iterate     8  f =       68.274  |proj g|=    6.0862e-07
  
  iterations 8
  function evaluations 35
  segments explored during Cauchy searches 11
  BFGS updates skipped 1
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 6.08616e-07
  final function value 68.2738
  
  F = 68.2738
  final  value 68.273841 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 9.169331e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.891412 
    - variance bounds :  0.09169331 9.87455 
    - best initial criterion value(s) :  -5705.488 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       5705.5  |proj g|=        8.547
  At iterate     1  f =       105.47  |proj g|=        2.3014
  At iterate     2  f =       70.273  |proj g|=        9.2569
  At iterate     3  f =       68.974  |proj g|=        1.0579
  At iterate     4  f =        68.53  |proj g|=       0.94885
  At iterate     5  f =       68.289  |proj g|=         0.839
  At iterate     6  f =       68.276  |proj g|=       0.35507
  At iterate     7  f =       68.274  |proj g|=      0.024968
  At iterate     8  f =       68.274  |proj g|=    0.00061904
  At iterate     9  f =       68.274  |proj g|=    1.1137e-06
  
  iterations 9
  function evaluations 28
  segments explored during Cauchy searches 12
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 1.1137e-06
  final function value 68.2738
  
  F = 68.2738
  final  value 68.273841 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 9.169331e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.891412 
    - variance bounds :  0.09169331 9.87455 
    - best initial criterion value(s) :  -266695.3 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=    2.667e+05  |proj g|=       9.1117
  At iterate     1  f =       105.47  |proj g|=        2.3014
  At iterate     2  f =       68.378  |proj g|=        2.8705
  At iterate     3  f =       68.275  |proj g|=       0.26462
  At iterate     4  f =       68.274  |proj g|=      0.044532
  At iterate     5  f =       68.274  |proj g|=    0.00087136
  At iterate     6  f =       68.274  |proj g|=    2.8005e-06
  
  iterations 6
  function evaluations 24
  segments explored during Cauchy searches 9
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 2.80045e-06
  final function value 68.2738
  
  F = 68.2738
  final  value 68.273841 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 3.435024e-07 
    - parameters lower bounds :  1e-10 1e-10 
    - parameters upper bounds :  1.880582 44.27959 
    - variance bounds :  3.435024 622.0591 
    - best initial criterion value(s) :  -1306.81 
  
  N = 3, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       1306.8  |proj g|=       38.172
  At iterate     1  f =       327.41  |proj g|=       0.36744
  At iterate     2  f =       318.57  |proj g|=         0.204
  At iterate     3  f =       318.22  |proj g|=    0.00042798
  At iterate     4  f =       318.22  |proj g|=     8.897e-05
  At iterate     5  f =       318.22  |proj g|=    5.1841e-08
  
  iterations 5
  function evaluations 11
  segments explored during Cauchy searches 6
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 2
  norm of the final projected gradient 5.18409e-08
  final function value 318.222
  
  F = 318.222
  final  value 318.221782 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 3.435024e-07 
    - parameters lower bounds :  1e-10 1e-10 
    - parameters upper bounds :  1.880582 44.27959 
    - variance bounds :  3.435024 622.0591 
    - best initial criterion value(s) :  -3359.986 
  
  N = 3, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=         3360  |proj g|=        56.23
  At iterate     1  f =       343.29  |proj g|=       0.30943
  At iterate     2  f =        318.5  |proj g|=        0.1344
  At iterate     3  f =       318.22  |proj g|=      0.013922
  Nonpositive definiteness in Cholesky factorization in formk;
     refresh the lbfgs memory and restart the iteration.
  At iterate     4  f =       318.22  |proj g|=      0.011014
  At iterate     5  f =       318.22  |proj g|=    0.00021783
  At iterate     6  f =       318.22  |proj g|=    3.3248e-06
  
  iterations 6
  function evaluations 17
  segments explored during Cauchy searches 10
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 2
  norm of the final projected gradient 3.32481e-06
  final function value 318.222
  
  F = 318.222
  final  value 318.221782 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 3.435024e-07 
    - parameters lower bounds :  1e-10 1e-10 
    - parameters upper bounds :  1.880582 44.27959 
    - variance bounds :  3.435024 622.0591 
    - best initial criterion value(s) :  -277.6037 
  
  N = 3, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=        277.6  |proj g|=       1.4378
  At iterate     1  f =       251.35  |proj g|=        16.177
  At iterate     2  f =       247.27  |proj g|=        6.7872
  At iterate     3  f =       244.44  |proj g|=        1.4817
  At iterate     4  f =       244.39  |proj g|=       0.99737
  At iterate     5  f =       244.38  |proj g|=       0.30449
  At iterate     6  f =       244.38  |proj g|=        0.2087
  At iterate     7  f =       244.38  |proj g|=        0.7756
  At iterate     8  f =       244.38  |proj g|=         1.668
  At iterate     9  f =       244.37  |proj g|=        1.7173
  At iterate    10  f =       244.35  |proj g|=        1.7169
  At iterate    11  f =       244.35  |proj g|=        1.9077
  At iterate    12  f =        244.3  |proj g|=        2.8973
  At iterate    13  f =       244.07  |proj g|=        4.5078
  At iterate    14  f =       243.48  |proj g|=        4.4658
  At iterate    15  f =       243.29  |proj g|=        1.7261
  At iterate    16  f =       243.27  |proj g|=       0.43448
  At iterate    17  f =       243.26  |proj g|=       0.15261
  At iterate    18  f =       243.26  |proj g|=      0.020736
  At iterate    19  f =       243.26  |proj g|=    0.00095326
  At iterate    20  f =       243.26  |proj g|=    4.7069e-06
  
  iterations 20
  function evaluations 26
  segments explored during Cauchy searches 22
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 0
  norm of the final projected gradient 4.70693e-06
  final function value 243.264
  
  F = 243.264
  final  value 243.264413 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 3.435024e-07 
    - parameters lower bounds :  1e-10 1e-10 
    - parameters upper bounds :  1.880582 44.27959 
    - variance bounds :  3.435024 622.0591 
    - best initial criterion value(s) :  -663.9905 
  
  N = 3, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       663.99  |proj g|=        17.03
  At iterate     1  f =       320.39  |proj g|=       0.28716
  At iterate     2  f =       319.07  |proj g|=       0.21017
  At iterate     3  f =       318.23  |proj g|=      0.025459
  At iterate     4  f =       318.22  |proj g|=      0.012527
  At iterate     5  f =       318.22  |proj g|=     0.0004438
  At iterate     6  f =       318.22  |proj g|=    7.4105e-06
  At iterate     7  f =       318.22  |proj g|=    4.4771e-09
  
  iterations 7
  function evaluations 15
  segments explored during Cauchy searches 9
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 2
  norm of the final projected gradient 4.47706e-09
  final function value 318.222
  
  F = 318.222
  final  value 318.221782 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 8.554228e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.965496 
    - variance bounds :  0.08080615 8.554228 
    - best initial criterion value(s) :  -56888.43 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=        56888  |proj g|=       7.6095
  At iterate     1  f =       102.06  |proj g|=        2.6361
  At iterate     2  f =        68.86  |proj g|=        1.2529
  ys=-3.124e+01  -gs= 1.903e+01, BFGS update SKIPPED
  At iterate     3  f =       66.562  |proj g|=       0.79542
  At iterate     4  f =       66.538  |proj g|=      0.044132
  At iterate     5  f =       66.538  |proj g|=      0.004098
  At iterate     6  f =       66.538  |proj g|=     1.217e-05
  At iterate     7  f =       66.538  |proj g|=    3.3435e-09
  
  iterations 7
  function evaluations 30
  segments explored during Cauchy searches 10
  BFGS updates skipped 1
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 3.34354e-09
  final function value 66.5379
  
  F = 66.5379
  final  value 66.537872 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 8.554228e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.965496 
    - variance bounds :  0.08080615 8.554228 
    - best initial criterion value(s) :  -56888.43 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=        56888  |proj g|=       7.6095
  At iterate     1  f =       102.06  |proj g|=        2.6361
  At iterate     2  f =        68.86  |proj g|=        1.2529
  ys=-3.124e+01  -gs= 1.903e+01, BFGS update SKIPPED
  At iterate     3  f =       66.562  |proj g|=       0.79542
  At iterate     4  f =       66.538  |proj g|=      0.044132
  At iterate     5  f =       66.538  |proj g|=      0.004098
  At iterate     6  f =       66.538  |proj g|=     1.217e-05
  At iterate     7  f =       66.538  |proj g|=    3.3435e-09
  
  iterations 7
  function evaluations 30
  segments explored during Cauchy searches 10
  BFGS updates skipped 1
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 3.34354e-09
  final function value 66.5379
  
  F = 66.5379
  final  value 66.537872 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 8.554228e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.965496 
    - variance bounds :  0.08080615 8.554228 
    - best initial criterion value(s) :  -7169.351 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       7169.4  |proj g|=       7.4358
  At iterate     1  f =       102.06  |proj g|=        2.6361
  At iterate     2  f =       66.643  |proj g|=       0.83951
  At iterate     3  f =       66.539  |proj g|=       0.25493
  Nonpositive definiteness in Cholesky factorization in formk;
     refresh the lbfgs memory and restart the iteration.
  At iterate     4  f =       66.538  |proj g|=     0.0029025
  At iterate     5  f =       66.538  |proj g|=    5.0722e-05
  
  iterations 5
  function evaluations 20
  segments explored during Cauchy searches 10
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 5.07224e-05
  final function value 66.5379
  
  F = 66.5379
  final  value 66.537872 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 8.554228e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.965496 
    - variance bounds :  0.08080615 8.554228 
    - best initial criterion value(s) :  -7169.351 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       7169.4  |proj g|=       7.4358
  At iterate     1  f =       102.06  |proj g|=        2.6361
  At iterate     2  f =       66.643  |proj g|=       0.83951
  At iterate     3  f =       66.539  |proj g|=       0.25493
  Nonpositive definiteness in Cholesky factorization in formk;
     refresh the lbfgs memory and restart the iteration.
  At iterate     4  f =       66.538  |proj g|=     0.0029025
  At iterate     5  f =       66.538  |proj g|=    5.0722e-05
  
  iterations 5
  function evaluations 20
  segments explored during Cauchy searches 10
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 5.07224e-05
  final function value 66.5379
  
  F = 66.5379
  final  value 66.537872 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 8.554228e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.965496 
    - variance bounds :  0.08080615 8.554228 
    - best initial criterion value(s) :  -636.7494 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       636.75  |proj g|=       7.9115
  At iterate     1  f =       102.06  |proj g|=        2.6361
  At iterate     2  f =       67.822  |proj g|=        7.9358
  At iterate     3  f =        66.84  |proj g|=        0.9026
  At iterate     4  f =       66.615  |proj g|=       0.82708
  At iterate     5  f =       66.552  |proj g|=        1.0482
  At iterate     6  f =       66.538  |proj g|=       0.16451
  At iterate     7  f =       66.538  |proj g|=      0.010779
  At iterate     8  f =       66.538  |proj g|=    0.00012071
  At iterate     9  f =       66.538  |proj g|=    8.7337e-08
  
  iterations 9
  function evaluations 24
  segments explored during Cauchy searches 12
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 8.73373e-08
  final function value 66.5379
  
  F = 66.5379
  final  value 66.537872 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 8.554228e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.965496 
    - variance bounds :  0.08080615 8.554228 
    - best initial criterion value(s) :  -1514.86 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       1514.9  |proj g|=       7.5614
  At iterate     1  f =       102.06  |proj g|=        2.6361
  At iterate     2  f =        66.79  |proj g|=        5.0936
  At iterate     3  f =       66.548  |proj g|=         0.782
  At iterate     4  f =       66.539  |proj g|=       0.21045
  At iterate     5  f =       66.538  |proj g|=      0.012715
  At iterate     6  f =       66.538  |proj g|=    0.00018248
  At iterate     7  f =       66.538  |proj g|=    1.5545e-07
  
  iterations 7
  function evaluations 23
  segments explored during Cauchy searches 10
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 1.55446e-07
  final function value 66.5379
  
  F = 66.5379
  final  value 66.537872 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 3.435024e-07 
    - parameters lower bounds :  1e-10 1e-10 
    - parameters upper bounds :  1.880582 44.27959 
    - variance bounds :  3.435024 622.0591 
    - best initial criterion value(s) :  -334.0563 
  
  N = 3, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       334.06  |proj g|=       1.2509
  At iterate     1  f =       323.62  |proj g|=       0.35155
  At iterate     2  f =       320.07  |proj g|=       0.27409
  At iterate     3  f =       318.24  |proj g|=      0.042988
  At iterate     4  f =       318.23  |proj g|=      0.029318
  At iterate     5  f =       318.22  |proj g|=     0.0016784
  At iterate     6  f =       318.22  |proj g|=    7.0679e-05
  At iterate     7  f =       318.22  |proj g|=    1.6181e-07
  
  iterations 7
  function evaluations 16
  segments explored during Cauchy searches 9
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 2
  norm of the final projected gradient 1.61806e-07
  final function value 318.222
  
  F = 318.222
  final  value 318.221782 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 3.435024e-07 
    - parameters lower bounds :  1e-10 1e-10 
    - parameters upper bounds :  1.880582 44.27959 
    - variance bounds :  3.435024 622.0591 
    - best initial criterion value(s) :  -4780.08 
  
  N = 3, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       4780.1  |proj g|=       79.688
  At iterate     1  f =       350.54  |proj g|=       0.27321
  At iterate     2  f =        318.6  |proj g|=       0.15319
  At iterate     3  f =       318.22  |proj g|=      0.015217
  Nonpositive definiteness in Cholesky factorization in formk;
     refresh the lbfgs memory and restart the iteration.
  At iterate     4  f =       318.22  |proj g|=      0.012049
  At iterate     5  f =       318.22  |proj g|=    0.00026152
  At iterate     6  f =       318.22  |proj g|=    4.3741e-06
  At iterate     7  f =       318.22  |proj g|=    1.5554e-09
  
  iterations 7
  function evaluations 18
  segments explored during Cauchy searches 11
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 2
  norm of the final projected gradient 1.55537e-09
  final function value 318.222
  
  F = 318.222
  final  value 318.221782 
  converged
  [ FAIL 2 | WARN 227 | SKIP 4 | PASS 547 ]
  
  == Skipped tests (4) ===========================================================
  * On CRAN (4): 'test_classif_nnet.R:2:1', 'test_classif_xgboost.R:2:1',
    'test_regr_nnet.R:2:1', 'test_regr_xgboost.R:2:1'
  
  == Failed tests ================================================================
  -- Failure ('test_classif_ranger.R:8:3'): autotest -----------------------------
  `result` is not TRUE
  
  `actual` is a list
  `expected` is a logical vector (TRUE)
  [train()] learner 'classif.ranger:response' on task 'missings_binary' failed: Error : Missing data in columns: character, factor, integer, logical, numeric, ordered.
  
  -- Failure ('test_regr_ranger.R:7:3'): autotest --------------------------------
  `result` is not TRUE
  
  `actual` is a list
  `expected` is a logical vector (TRUE)
  [train()] learner 'regr.ranger:response' on task 'missings' failed: Error : Missing data in columns: character, factor, integer, logical, numeric, ordered.
  
  
  [ FAIL 2 | WARN 227 | SKIP 4 | PASS 547 ]
  Error: Test failures
  Execution halted
* checking PDF version of manual ... OK
* DONE

Status: 1 ERROR
See
  '/tmp/th798/17291122/R-release/847/mlr3learners.Rcheck/00check.log'
for details.

[1] "2025-05-17 00:50:09 MST"
> system(paste(c("diff -u", Rcheck.list), collapse=" "))
--- R_version_4.5.0_2025-04-11/release_1.17.2.Rcheck/00check.log	2025-05-17 00:48:12.965031941 -0700
+++ R_version_4.5.0_2025-04-11/master_1.17.99.c4ea09e099b1833fae0eacb50552bce6f051ed82.Rcheck/00check.log	2025-05-17 00:50:09.805007238 -0700
@@ -60,147 +60,161 @@
   Loading required package: mlr3
   # weights:  3 (2 variable)
   initial  value 20.794415 
-  final  value 20.190350 
+  final  value 20.727699 
   converged
   # weights:  3 (2 variable)
   initial  value 20.794415 
-  final  value 20.190350 
+  final  value 20.727699 
   converged
   # weights:  3 (2 variable)
   initial  value 20.794415 
-  final  value 20.794415 
+  final  value 20.391705 
   converged
   # weights:  3 (2 variable)
   initial  value 20.794415 
-  final  value 20.794415 
+  final  value 20.391705 
   converged
   # weights:  3 (2 variable)
   initial  value 20.794415 
-  final  value 20.794379 
+  final  value 19.666795 
   converged
   # weights:  3 (2 variable)
   initial  value 20.794415 
-  final  value 20.794379 
+  final  value 19.666795 
   converged
   # weights:  3 (2 variable)
   initial  value 20.794415 
-  final  value 20.727699 
+  final  value 19.095425 
   converged
   # weights:  3 (2 variable)
   initial  value 20.794415 
-  final  value 20.727699 
+  final  value 19.095425 
   converged
   # weights:  6 (5 variable)
   initial  value 20.794415 
-  final  value 20.062333 
+  iter  10 value 18.216108
+  iter  10 value 18.216108
+  iter  10 value 18.216108
+  final  value 18.216108 
   converged
   # weights:  6 (5 variable)
   initial  value 20.794415 
-  final  value 20.062333 
+  iter  10 value 18.216108
+  iter  10 value 18.216108
+  iter  10 value 18.216108
+  final  value 18.216108 
   converged
   # weights:  6 (5 variable)
   initial  value 20.794415 
-  final  value 20.062333 
+  iter  10 value 18.216108
+  iter  10 value 18.216108
+  iter  10 value 18.216108
+  final  value 18.216108 
   converged
   # weights:  6 (5 variable)
   initial  value 20.794415 
-  final  value 20.062333 
+  iter  10 value 18.216108
+  iter  10 value 18.216108
+  iter  10 value 18.216108
+  final  value 18.216108 
   converged
   # weights:  6 (5 variable)
-  initial  value 10.654647 
-  iter  10 value 9.254438
-  final  value 9.254438 
+  initial  value 10.250263 
+  iter  10 value 9.540951
+  final  value 9.540949 
   converged
   # weights:  6 (5 variable)
-  initial  value 10.654647 
-  iter  10 value 9.254438
-  final  value 9.254438 
+  initial  value 10.250263 
+  iter  10 value 9.540951
+  final  value 9.540949 
   converged
   # weights:  6 (5 variable)
   initial  value 20.794415 
-  final  value 20.062333 
+  iter  10 value 18.216108
+  iter  10 value 18.216108
+  iter  10 value 18.216108
+  final  value 18.216108 
   converged
   # weights:  6 (5 variable)
   initial  value 20.794415 
-  final  value 20.062333 
+  iter  10 value 18.216108
+  iter  10 value 18.216108
+  iter  10 value 18.216108
+  final  value 18.216108 
   converged
   # weights:  9 (4 variable)
   initial  value 32.958369 
-  final  value 31.732830 
+  final  value 32.958369 
   converged
   # weights:  9 (4 variable)
   initial  value 32.958369 
-  final  value 31.732830 
+  final  value 32.958369 
   converged
   # weights:  9 (4 variable)
   initial  value 32.958369 
-  final  value 31.567916 
+  final  value 32.504055 
   converged
   # weights:  9 (4 variable)
   initial  value 32.958369 
-  final  value 31.567916 
+  final  value 32.504055 
   converged
   # weights:  9 (4 variable)
   initial  value 32.958369 
-  iter  10 value 31.534075
-  iter  10 value 31.534075
-  final  value 31.534075 
+  final  value 32.179123 
   converged
   # weights:  9 (4 variable)
   initial  value 32.958369 
-  iter  10 value 31.534075
-  iter  10 value 31.534075
-  final  value 31.534075 
+  final  value 32.179123 
   converged
   # weights:  9 (4 variable)
   initial  value 32.958369 
-  final  value 32.555658 
+  final  value 31.732830 
   converged
   # weights:  9 (4 variable)
   initial  value 32.958369 
-  final  value 32.555658 
+  final  value 31.732830 
   converged
   # weights:  18 (10 variable)
   initial  value 32.958369 
-  iter  10 value 27.586992
-  final  value 27.585866 
+  iter  10 value 29.699178
+  final  value 29.687964 
   converged
   # weights:  18 (10 variable)
   initial  value 32.958369 
-  iter  10 value 27.586992
-  final  value 27.585866 
+  iter  10 value 29.699178
+  final  value 29.687964 
   converged
   # weights:  18 (10 variable)
   initial  value 32.958369 
-  iter  10 value 27.586992
-  final  value 27.585866 
+  iter  10 value 29.699178
+  final  value 29.687964 
   converged
   # weights:  18 (10 variable)
   initial  value 32.958369 
-  iter  10 value 27.586992
-  final  value 27.585866 
+  iter  10 value 29.699178
+  final  value 29.687964 
   converged
   # weights:  18 (10 variable)
-  initial  value 18.020408 
-  iter  10 value 14.336044
-  iter  20 value 14.327678
-  final  value 14.327671 
+  initial  value 15.068136 
+  iter  10 value 11.285787
+  iter  20 value 11.245152
+  final  value 11.245150 
   converged
   # weights:  18 (10 variable)
-  initial  value 18.020408 
-  iter  10 value 14.336044
-  iter  20 value 14.327678
-  final  value 14.327671 
+  initial  value 15.068136 
+  iter  10 value 11.285787
+  iter  20 value 11.245152
+  final  value 11.245150 
   converged
   # weights:  18 (10 variable)
   initial  value 32.958369 
-  iter  10 value 27.586992
-  final  value 27.585866 
+  iter  10 value 29.699178
+  final  value 29.687964 
   converged
   # weights:  18 (10 variable)
   initial  value 32.958369 
-  iter  10 value 27.586992
-  final  value 27.585866 
+  iter  10 value 29.699178
+  final  value 29.687964 
   converged
   # weights:  4 (3 variable)
   initial  value 138.629436 
@@ -309,36 +323,35 @@
   * trend model : ~1
   * covariance model : 
     - type :  matern5_2 
-    - nugget : 1.201762e-08 
+    - nugget : 9.169331e-09 
     - parameters lower bounds :  1e-10 1e-10 1e-10 
-    - parameters upper bounds :  4 2 1.754029 
-    - variance bounds :  0.1158209 12.01762 
-    - best initial criterion value(s) :  -486.5295 
+    - parameters upper bounds :  4 2 1.891412 
+    - variance bounds :  0.09169331 9.87455 
+    - best initial criterion value(s) :  -6028.608 
   
   N = 4, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=       486.53  |proj g|=       10.824
-  At iterate     1  f =       110.56  |proj g|=        1.8764
-  At iterate     2  f =       76.367  |proj g|=        1.5471
-  ys=-2.599e+01  -gs= 1.943e+01, BFGS update SKIPPED
-  At iterate     3  f =       75.838  |proj g|=        1.4182
-  At iterate     4  f =       75.062  |proj g|=        0.9061
-  At iterate     5  f =       75.051  |proj g|=       0.76647
-  At iterate     6  f =       75.037  |proj g|=      0.066852
-  At iterate     7  f =       75.037  |proj g|=     0.0044647
-  At iterate     8  f =       75.037  |proj g|=     2.836e-05
-  At iterate     9  f =       75.037  |proj g|=    1.1936e-08
+  At iterate     0  f=       6028.6  |proj g|=       8.7969
+  At iterate     1  f =       105.47  |proj g|=        2.3014
+  At iterate     2  f =       68.789  |proj g|=        1.0171
+  ys=-1.730e+01  -gs= 2.017e+01, BFGS update SKIPPED
+  At iterate     3  f =       68.637  |proj g|=       0.97917
+  At iterate     4  f =       68.297  |proj g|=        0.8468
+  At iterate     5  f =       68.279  |proj g|=       0.55518
+  At iterate     6  f =       68.274  |proj g|=      0.047816
+  At iterate     7  f =       68.274  |proj g|=     0.0018257
+  At iterate     8  f =       68.274  |proj g|=    6.3039e-06
   
-  iterations 9
-  function evaluations 28
-  segments explored during Cauchy searches 12
+  iterations 8
+  function evaluations 31
+  segments explored during Cauchy searches 11
   BFGS updates skipped 1
   active bounds at final generalized Cauchy point 3
-  norm of the final projected gradient 1.19362e-08
-  final function value 75.0366
+  norm of the final projected gradient 6.30387e-06
+  final function value 68.2738
   
-  F = 75.0366
-  final  value 75.036586 
+  F = 68.2738
+  final  value 68.273841 
   converged
   
   optimisation start
@@ -349,36 +362,35 @@
   * trend model : ~1
   * covariance model : 
     - type :  matern5_2 
-    - nugget : 1.201762e-08 
+    - nugget : 9.169331e-09 
     - parameters lower bounds :  1e-10 1e-10 1e-10 
-    - parameters upper bounds :  4 2 1.754029 
-    - variance bounds :  0.1158209 12.01762 
-    - best initial criterion value(s) :  -486.5295 
+    - parameters upper bounds :  4 2 1.891412 
+    - variance bounds :  0.09169331 9.87455 
+    - best initial criterion value(s) :  -6028.608 
   
   N = 4, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=       486.53  |proj g|=       10.824
-  At iterate     1  f =       110.56  |proj g|=        1.8764
-  At iterate     2  f =       76.367  |proj g|=        1.5471
-  ys=-2.599e+01  -gs= 1.943e+01, BFGS update SKIPPED
-  At iterate     3  f =       75.838  |proj g|=        1.4182
-  At iterate     4  f =       75.062  |proj g|=        0.9061
-  At iterate     5  f =       75.051  |proj g|=       0.76647
-  At iterate     6  f =       75.037  |proj g|=      0.066852
-  At iterate     7  f =       75.037  |proj g|=     0.0044647
-  At iterate     8  f =       75.037  |proj g|=     2.836e-05
-  At iterate     9  f =       75.037  |proj g|=    1.1936e-08
+  At iterate     0  f=       6028.6  |proj g|=       8.7969
+  At iterate     1  f =       105.47  |proj g|=        2.3014
+  At iterate     2  f =       68.789  |proj g|=        1.0171
+  ys=-1.730e+01  -gs= 2.017e+01, BFGS update SKIPPED
+  At iterate     3  f =       68.637  |proj g|=       0.97917
+  At iterate     4  f =       68.297  |proj g|=        0.8468
+  At iterate     5  f =       68.279  |proj g|=       0.55518
+  At iterate     6  f =       68.274  |proj g|=      0.047816
+  At iterate     7  f =       68.274  |proj g|=     0.0018257
+  At iterate     8  f =       68.274  |proj g|=    6.3039e-06
   
-  iterations 9
-  function evaluations 28
-  segments explored during Cauchy searches 12
+  iterations 8
+  function evaluations 31
+  segments explored during Cauchy searches 11
   BFGS updates skipped 1
   active bounds at final generalized Cauchy point 3
-  norm of the final projected gradient 1.19362e-08
-  final function value 75.0366
+  norm of the final projected gradient 6.30387e-06
+  final function value 68.2738
   
-  F = 75.0366
-  final  value 75.036586 
+  F = 68.2738
+  final  value 68.273841 
   converged
   
   optimisation start
@@ -389,35 +401,35 @@
   * trend model : ~1
   * covariance model : 
     - type :  matern5_2 
-    - nugget : 1.201762e-08 
+    - nugget : 9.169331e-09 
     - parameters lower bounds :  1e-10 1e-10 1e-10 
-    - parameters upper bounds :  4 2 1.754029 
-    - variance bounds :  0.1158209 12.01762 
-    - best initial criterion value(s) :  -1330.483 
+    - parameters upper bounds :  4 2 1.891412 
+    - variance bounds :  0.09169331 9.87455 
+    - best initial criterion value(s) :  -3089766 
   
   N = 4, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=       1330.5  |proj g|=       11.271
-  At iterate     1  f =       110.56  |proj g|=        1.8764
-  At iterate     2  f =       76.326  |proj g|=        1.5377
-  ys=-2.564e+01  -gs= 1.945e+01, BFGS update SKIPPED
-  At iterate     3  f =        75.66  |proj g|=        1.3693
-  At iterate     4  f =       75.051  |proj g|=       0.67764
-  At iterate     5  f =       75.042  |proj g|=       0.45661
-  At iterate     6  f =       75.037  |proj g|=          0.03
-  At iterate     7  f =       75.037  |proj g|=     0.0012293
-  At iterate     8  f =       75.037  |proj g|=    3.4876e-06
+  At iterate     0  f=   3.0898e+06  |proj g|=       8.6084
+  At iterate     1  f =       105.47  |proj g|=        2.3014
+  At iterate     2  f =       68.505  |proj g|=       0.94107
+  ys=-7.457e+00  -gs= 2.035e+01, BFGS update SKIPPED
+  At iterate     3  f =       68.419  |proj g|=       0.91119
+  At iterate     4  f =       68.295  |proj g|=        1.2058
+  At iterate     5  f =       68.275  |proj g|=        0.2615
+  At iterate     6  f =       68.274  |proj g|=      0.020931
+  At iterate     7  f =       68.274  |proj g|=    0.00040374
+  At iterate     8  f =       68.274  |proj g|=    6.0862e-07
   
   iterations 8
-  function evaluations 20
-  segments explored during Cauchy searches 10
+  function evaluations 35
+  segments explored during Cauchy searches 11
   BFGS updates skipped 1
-  active bounds at final generalized Cauchy point 1
-  norm of the final projected gradient 3.48761e-06
-  final function value 75.0366
+  active bounds at final generalized Cauchy point 3
+  norm of the final projected gradient 6.08616e-07
+  final function value 68.2738
   
-  F = 75.0366
-  final  value 75.036586 
+  F = 68.2738
+  final  value 68.273841 
   converged
   
   optimisation start
@@ -428,35 +440,35 @@
   * trend model : ~1
   * covariance model : 
     - type :  matern5_2 
-    - nugget : 1.201762e-08 
+    - nugget : 9.169331e-09 
     - parameters lower bounds :  1e-10 1e-10 1e-10 
-    - parameters upper bounds :  4 2 1.754029 
-    - variance bounds :  0.1158209 12.01762 
-    - best initial criterion value(s) :  -1330.483 
+    - parameters upper bounds :  4 2 1.891412 
+    - variance bounds :  0.09169331 9.87455 
+    - best initial criterion value(s) :  -3089766 
   
   N = 4, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=       1330.5  |proj g|=       11.271
-  At iterate     1  f =       110.56  |proj g|=        1.8764
-  At iterate     2  f =       76.326  |proj g|=        1.5377
-  ys=-2.564e+01  -gs= 1.945e+01, BFGS update SKIPPED
-  At iterate     3  f =        75.66  |proj g|=        1.3693
-  At iterate     4  f =       75.051  |proj g|=       0.67764
-  At iterate     5  f =       75.042  |proj g|=       0.45661
-  At iterate     6  f =       75.037  |proj g|=          0.03
-  At iterate     7  f =       75.037  |proj g|=     0.0012293
-  At iterate     8  f =       75.037  |proj g|=    3.4876e-06
+  At iterate     0  f=   3.0898e+06  |proj g|=       8.6084
+  At iterate     1  f =       105.47  |proj g|=        2.3014
+  At iterate     2  f =       68.505  |proj g|=       0.94107
+  ys=-7.457e+00  -gs= 2.035e+01, BFGS update SKIPPED
+  At iterate     3  f =       68.419  |proj g|=       0.91119
+  At iterate     4  f =       68.295  |proj g|=        1.2058
+  At iterate     5  f =       68.275  |proj g|=        0.2615
+  At iterate     6  f =       68.274  |proj g|=      0.020931
+  At iterate     7  f =       68.274  |proj g|=    0.00040374
+  At iterate     8  f =       68.274  |proj g|=    6.0862e-07
   
   iterations 8
-  function evaluations 20
-  segments explored during Cauchy searches 10
+  function evaluations 35
+  segments explored during Cauchy searches 11
   BFGS updates skipped 1
-  active bounds at final generalized Cauchy point 1
-  norm of the final projected gradient 3.48761e-06
-  final function value 75.0366
+  active bounds at final generalized Cauchy point 3
+  norm of the final projected gradient 6.08616e-07
+  final function value 68.2738
   
-  F = 75.0366
-  final  value 75.036586 
+  F = 68.2738
+  final  value 68.273841 
   converged
   
   optimisation start
@@ -467,34 +479,35 @@
   * trend model : ~1
   * covariance model : 
     - type :  matern5_2 
-    - nugget : 1.201762e-08 
+    - nugget : 9.169331e-09 
     - parameters lower bounds :  1e-10 1e-10 1e-10 
-    - parameters upper bounds :  4 2 1.754029 
-    - variance bounds :  0.1158209 12.01762 
-    - best initial criterion value(s) :  -724505.2 
+    - parameters upper bounds :  4 2 1.891412 
+    - variance bounds :  0.09169331 9.87455 
+    - best initial criterion value(s) :  -5705.488 
   
   N = 4, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=   7.2451e+05  |proj g|=        11.24
-  At iterate     1  f =       110.56  |proj g|=        1.8764
-  At iterate     2  f =       77.002  |proj g|=        1.6849
-  ys=-2.990e+01  -gs= 1.917e+01, BFGS update SKIPPED
-  At iterate     3  f =       76.228  |proj g|=         1.515
-  At iterate     4  f =       75.048  |proj g|=       0.61648
-  At iterate     5  f =       75.037  |proj g|=      0.037899
-  At iterate     6  f =       75.037  |proj g|=     0.0023867
-  At iterate     7  f =       75.037  |proj g|=    8.5581e-06
+  At iterate     0  f=       5705.5  |proj g|=        8.547
+  At iterate     1  f =       105.47  |proj g|=        2.3014
+  At iterate     2  f =       70.273  |proj g|=        9.2569
+  At iterate     3  f =       68.974  |proj g|=        1.0579
+  At iterate     4  f =        68.53  |proj g|=       0.94885
+  At iterate     5  f =       68.289  |proj g|=         0.839
+  At iterate     6  f =       68.276  |proj g|=       0.35507
+  At iterate     7  f =       68.274  |proj g|=      0.024968
+  At iterate     8  f =       68.274  |proj g|=    0.00061904
+  At iterate     9  f =       68.274  |proj g|=    1.1137e-06
   
-  iterations 7
-  function evaluations 30
-  segments explored during Cauchy searches 10
-  BFGS updates skipped 1
+  iterations 9
+  function evaluations 28
+  segments explored during Cauchy searches 12
+  BFGS updates skipped 0
   active bounds at final generalized Cauchy point 3
-  norm of the final projected gradient 8.55813e-06
-  final function value 75.0366
+  norm of the final projected gradient 1.1137e-06
+  final function value 68.2738
   
-  F = 75.0366
-  final  value 75.036586 
+  F = 68.2738
+  final  value 68.273841 
   converged
   
   optimisation start
@@ -505,35 +518,32 @@
   * trend model : ~1
   * covariance model : 
     - type :  matern5_2 
-    - nugget : 1.201762e-08 
+    - nugget : 9.169331e-09 
     - parameters lower bounds :  1e-10 1e-10 1e-10 
-    - parameters upper bounds :  4 2 1.754029 
-    - variance bounds :  0.1158209 12.01762 
-    - best initial criterion value(s) :  -39892.43 
+    - parameters upper bounds :  4 2 1.891412 
+    - variance bounds :  0.09169331 9.87455 
+    - best initial criterion value(s) :  -266695.3 
   
   N = 4, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=        39892  |proj g|=       10.396
-  At iterate     1  f =       110.56  |proj g|=        1.8764
-  At iterate     2  f =       75.213  |proj g|=        1.2137
-  ys=-2.887e+00  -gs= 2.006e+01, BFGS update SKIPPED
-  At iterate     3  f =       75.155  |proj g|=        1.1846
-  At iterate     4  f =       75.049  |proj g|=       0.68582
-  At iterate     5  f =       75.037  |proj g|=       0.13702
-  At iterate     6  f =       75.037  |proj g|=     0.0083245
-  At iterate     7  f =       75.037  |proj g|=    0.00010934
-  At iterate     8  f =       75.037  |proj g|=    8.5842e-08
+  At iterate     0  f=    2.667e+05  |proj g|=       9.1117
+  At iterate     1  f =       105.47  |proj g|=        2.3014
+  At iterate     2  f =       68.378  |proj g|=        2.8705
+  At iterate     3  f =       68.275  |proj g|=       0.26462
+  At iterate     4  f =       68.274  |proj g|=      0.044532
+  At iterate     5  f =       68.274  |proj g|=    0.00087136
+  At iterate     6  f =       68.274  |proj g|=    2.8005e-06
   
-  iterations 8
-  function evaluations 28
-  segments explored during Cauchy searches 11
-  BFGS updates skipped 1
+  iterations 6
+  function evaluations 24
+  segments explored during Cauchy searches 9
+  BFGS updates skipped 0
   active bounds at final generalized Cauchy point 3
-  norm of the final projected gradient 8.58422e-08
-  final function value 75.0366
+  norm of the final projected gradient 2.80045e-06
+  final function value 68.2738
   
-  F = 75.0366
-  final  value 75.036586 
+  F = 68.2738
+  final  value 68.273841 
   converged
   
   optimisation start
@@ -548,28 +558,23 @@
     - parameters lower bounds :  1e-10 1e-10 
     - parameters upper bounds :  1.880582 44.27959 
     - variance bounds :  3.435024 622.0591 
-    - best initial criterion value(s) :  -1635.72 
+    - best initial criterion value(s) :  -1306.81 
   
   N = 3, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=       1635.7  |proj g|=       47.633
-  At iterate     1  f =       331.77  |proj g|=       0.36082
-  At iterate     2  f =       319.04  |proj g|=       0.20729
-  At iterate     3  f =        318.3  |proj g|=      0.075846
-  Nonpositive definiteness in Cholesky factorization in formk;
-     refresh the lbfgs memory and restart the iteration.
-  At iterate     4  f =       318.27  |proj g|=      0.062501
-  At iterate     5  f =       318.22  |proj g|=     0.0084312
-  At iterate     6  f =       318.22  |proj g|=    0.00079105
-  At iterate     7  f =       318.22  |proj g|=    8.9563e-06
-  At iterate     8  f =       318.22  |proj g|=    9.6504e-09
-  
-  iterations 8
-  function evaluations 18
-  segments explored during Cauchy searches 12
+  At iterate     0  f=       1306.8  |proj g|=       38.172
+  At iterate     1  f =       327.41  |proj g|=       0.36744
+  At iterate     2  f =       318.57  |proj g|=         0.204
+  At iterate     3  f =       318.22  |proj g|=    0.00042798
+  At iterate     4  f =       318.22  |proj g|=     8.897e-05
+  At iterate     5  f =       318.22  |proj g|=    5.1841e-08
+  
+  iterations 5
+  function evaluations 11
+  segments explored during Cauchy searches 6
   BFGS updates skipped 0
   active bounds at final generalized Cauchy point 2
-  norm of the final projected gradient 9.65044e-09
+  norm of the final projected gradient 5.18409e-08
   final function value 318.222
   
   F = 318.222
@@ -588,26 +593,26 @@
     - parameters lower bounds :  1e-10 1e-10 
     - parameters upper bounds :  1.880582 44.27959 
     - variance bounds :  3.435024 622.0591 
-    - best initial criterion value(s) :  -4725.732 
+    - best initial criterion value(s) :  -3359.986 
   
   N = 3, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=       4725.7  |proj g|=         72.5
-  At iterate     1  f =       350.09  |proj g|=       0.27544
-  At iterate     2  f =       318.31  |proj g|=      0.079687
-  At iterate     3  f =       318.22  |proj g|=     0.0077558
+  At iterate     0  f=         3360  |proj g|=        56.23
+  At iterate     1  f =       343.29  |proj g|=       0.30943
+  At iterate     2  f =        318.5  |proj g|=        0.1344
+  At iterate     3  f =       318.22  |proj g|=      0.013922
   Nonpositive definiteness in Cholesky factorization in formk;
      refresh the lbfgs memory and restart the iteration.
-  At iterate     4  f =       318.22  |proj g|=     0.0061108
-  At iterate     5  f =       318.22  |proj g|=    6.6026e-05
-  At iterate     6  f =       318.22  |proj g|=    5.5453e-07
+  At iterate     4  f =       318.22  |proj g|=      0.011014
+  At iterate     5  f =       318.22  |proj g|=    0.00021783
+  At iterate     6  f =       318.22  |proj g|=    3.3248e-06
   
   iterations 6
-  function evaluations 20
+  function evaluations 17
   segments explored during Cauchy searches 10
   BFGS updates skipped 0
   active bounds at final generalized Cauchy point 2
-  norm of the final projected gradient 5.54534e-07
+  norm of the final projected gradient 3.32481e-06
   final function value 318.222
   
   F = 318.222
@@ -626,30 +631,42 @@
     - parameters lower bounds :  1e-10 1e-10 
     - parameters upper bounds :  1.880582 44.27959 
     - variance bounds :  3.435024 622.0591 
-    - best initial criterion value(s) :  -11645.66 
+    - best initial criterion value(s) :  -277.6037 
   
   N = 3, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=        11646  |proj g|=       205.99
-  At iterate     1  f =       376.84  |proj g|=       0.16595
-  At iterate     2  f =       318.29  |proj g|=       0.07007
-  At iterate     3  f =       318.22  |proj g|=     0.0065538
-  Nonpositive definiteness in Cholesky factorization in formk;
-     refresh the lbfgs memory and restart the iteration.
-  At iterate     4  f =       318.22  |proj g|=     0.0051596
-  At iterate     5  f =       318.22  |proj g|=    4.6933e-05
-  At iterate     6  f =       318.22  |proj g|=    3.3229e-07
-  
-  iterations 6
-  function evaluations 19
-  segments explored during Cauchy searches 10
+  At iterate     0  f=        277.6  |proj g|=       1.4378
+  At iterate     1  f =       251.35  |proj g|=        16.177
+  At iterate     2  f =       247.27  |proj g|=        6.7872
+  At iterate     3  f =       244.44  |proj g|=        1.4817
+  At iterate     4  f =       244.39  |proj g|=       0.99737
+  At iterate     5  f =       244.38  |proj g|=       0.30449
+  At iterate     6  f =       244.38  |proj g|=        0.2087
+  At iterate     7  f =       244.38  |proj g|=        0.7756
+  At iterate     8  f =       244.38  |proj g|=         1.668
+  At iterate     9  f =       244.37  |proj g|=        1.7173
+  At iterate    10  f =       244.35  |proj g|=        1.7169
+  At iterate    11  f =       244.35  |proj g|=        1.9077
+  At iterate    12  f =        244.3  |proj g|=        2.8973
+  At iterate    13  f =       244.07  |proj g|=        4.5078
+  At iterate    14  f =       243.48  |proj g|=        4.4658
+  At iterate    15  f =       243.29  |proj g|=        1.7261
+  At iterate    16  f =       243.27  |proj g|=       0.43448
+  At iterate    17  f =       243.26  |proj g|=       0.15261
+  At iterate    18  f =       243.26  |proj g|=      0.020736
+  At iterate    19  f =       243.26  |proj g|=    0.00095326
+  At iterate    20  f =       243.26  |proj g|=    4.7069e-06
+  
+  iterations 20
+  function evaluations 26
+  segments explored during Cauchy searches 22
   BFGS updates skipped 0
-  active bounds at final generalized Cauchy point 2
-  norm of the final projected gradient 3.32285e-07
-  final function value 318.222
+  active bounds at final generalized Cauchy point 0
+  norm of the final projected gradient 4.70693e-06
+  final function value 243.264
   
-  F = 318.222
-  final  value 318.221782 
+  F = 243.264
+  final  value 243.264413 
   converged
   
   optimisation start
@@ -664,24 +681,25 @@
     - parameters lower bounds :  1e-10 1e-10 
     - parameters upper bounds :  1.880582 44.27959 
     - variance bounds :  3.435024 622.0591 
-    - best initial criterion value(s) :  -2745.336 
+    - best initial criterion value(s) :  -663.9905 
   
   N = 3, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=       2745.3  |proj g|=       35.632
-  At iterate     1  f =       341.57  |proj g|=       0.31803
-  At iterate     2  f =       318.33  |proj g|=      0.089393
-  At iterate     3  f =       318.22  |proj g|=     0.0065748
-  At iterate     4  f =       318.22  |proj g|=    0.00095856
-  At iterate     5  f =       318.22  |proj g|=    8.6557e-06
-  At iterate     6  f =       318.22  |proj g|=    1.1268e-08
+  At iterate     0  f=       663.99  |proj g|=        17.03
+  At iterate     1  f =       320.39  |proj g|=       0.28716
+  At iterate     2  f =       319.07  |proj g|=       0.21017
+  At iterate     3  f =       318.23  |proj g|=      0.025459
+  At iterate     4  f =       318.22  |proj g|=      0.012527
+  At iterate     5  f =       318.22  |proj g|=     0.0004438
+  At iterate     6  f =       318.22  |proj g|=    7.4105e-06
+  At iterate     7  f =       318.22  |proj g|=    4.4771e-09
   
-  iterations 6
-  function evaluations 18
-  segments explored during Cauchy searches 8
+  iterations 7
+  function evaluations 15
+  segments explored during Cauchy searches 9
   BFGS updates skipped 0
   active bounds at final generalized Cauchy point 2
-  norm of the final projected gradient 1.1268e-08
+  norm of the final projected gradient 4.47706e-09
   final function value 318.222
   
   F = 318.222
@@ -696,34 +714,34 @@
   * trend model : ~1
   * covariance model : 
     - type :  matern5_2 
-    - nugget : 9.661654e-09 
+    - nugget : 8.554228e-09 
     - parameters lower bounds :  1e-10 1e-10 1e-10 
-    - parameters upper bounds :  4 2 1.968107 
-    - variance bounds :  0.09524022 9.661654 
-    - best initial criterion value(s) :  -25966.39 
+    - parameters upper bounds :  4 2 1.965496 
+    - variance bounds :  0.08080615 8.554228 
+    - best initial criterion value(s) :  -56888.43 
   
   N = 4, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=        25966  |proj g|=       8.5662
-  At iterate     1  f =        105.1  |proj g|=         2.334
-  At iterate     2  f =       70.962  |proj g|=        1.2509
-  ys=-2.640e+01  -gs= 1.941e+01, BFGS update SKIPPED
-  At iterate     3  f =       69.782  |proj g|=       0.98236
-  At iterate     4  f =       69.582  |proj g|=       0.23258
-  At iterate     5  f =       69.581  |proj g|=      0.070667
-  At iterate     6  f =       69.581  |proj g|=     0.0012645
-  At iterate     7  f =       69.581  |proj g|=    6.7243e-06
+  At iterate     0  f=        56888  |proj g|=       7.6095
+  At iterate     1  f =       102.06  |proj g|=        2.6361
+  At iterate     2  f =        68.86  |proj g|=        1.2529
+  ys=-3.124e+01  -gs= 1.903e+01, BFGS update SKIPPED
+  At iterate     3  f =       66.562  |proj g|=       0.79542
+  At iterate     4  f =       66.538  |proj g|=      0.044132
+  At iterate     5  f =       66.538  |proj g|=      0.004098
+  At iterate     6  f =       66.538  |proj g|=     1.217e-05
+  At iterate     7  f =       66.538  |proj g|=    3.3435e-09
   
   iterations 7
-  function evaluations 31
+  function evaluations 30
   segments explored during Cauchy searches 10
   BFGS updates skipped 1
   active bounds at final generalized Cauchy point 3
-  norm of the final projected gradient 6.72432e-06
-  final function value 69.5814
+  norm of the final projected gradient 3.34354e-09
+  final function value 66.5379
   
-  F = 69.5814
-  final  value 69.581353 
+  F = 66.5379
+  final  value 66.537872 
   converged
   
   optimisation start
@@ -734,34 +752,34 @@
   * trend model : ~1
   * covariance model : 
     - type :  matern5_2 
-    - nugget : 9.661654e-09 
+    - nugget : 8.554228e-09 
     - parameters lower bounds :  1e-10 1e-10 1e-10 
-    - parameters upper bounds :  4 2 1.968107 
-    - variance bounds :  0.09524022 9.661654 
-    - best initial criterion value(s) :  -25966.39 
+    - parameters upper bounds :  4 2 1.965496 
+    - variance bounds :  0.08080615 8.554228 
+    - best initial criterion value(s) :  -56888.43 
   
   N = 4, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=        25966  |proj g|=       8.5662
-  At iterate     1  f =        105.1  |proj g|=         2.334
-  At iterate     2  f =       70.962  |proj g|=        1.2509
-  ys=-2.640e+01  -gs= 1.941e+01, BFGS update SKIPPED
-  At iterate     3  f =       69.782  |proj g|=       0.98236
-  At iterate     4  f =       69.582  |proj g|=       0.23258
-  At iterate     5  f =       69.581  |proj g|=      0.070667
-  At iterate     6  f =       69.581  |proj g|=     0.0012645
-  At iterate     7  f =       69.581  |proj g|=    6.7243e-06
+  At iterate     0  f=        56888  |proj g|=       7.6095
+  At iterate     1  f =       102.06  |proj g|=        2.6361
+  At iterate     2  f =        68.86  |proj g|=        1.2529
+  ys=-3.124e+01  -gs= 1.903e+01, BFGS update SKIPPED
+  At iterate     3  f =       66.562  |proj g|=       0.79542
+  At iterate     4  f =       66.538  |proj g|=      0.044132
+  At iterate     5  f =       66.538  |proj g|=      0.004098
+  At iterate     6  f =       66.538  |proj g|=     1.217e-05
+  At iterate     7  f =       66.538  |proj g|=    3.3435e-09
   
   iterations 7
-  function evaluations 31
+  function evaluations 30
   segments explored during Cauchy searches 10
   BFGS updates skipped 1
   active bounds at final generalized Cauchy point 3
-  norm of the final projected gradient 6.72432e-06
-  final function value 69.5814
+  norm of the final projected gradient 3.34354e-09
+  final function value 66.5379
   
-  F = 69.5814
-  final  value 69.581353 
+  F = 66.5379
+  final  value 66.537872 
   converged
   
   optimisation start
@@ -772,34 +790,33 @@
   * trend model : ~1
   * covariance model : 
     - type :  matern5_2 
-    - nugget : 9.661654e-09 
+    - nugget : 8.554228e-09 
     - parameters lower bounds :  1e-10 1e-10 1e-10 
-    - parameters upper bounds :  4 2 1.968107 
-    - variance bounds :  0.09524022 9.661654 
-    - best initial criterion value(s) :  -8966.809 
+    - parameters upper bounds :  4 2 1.965496 
+    - variance bounds :  0.08080615 8.554228 
+    - best initial criterion value(s) :  -7169.351 
   
   N = 4, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=       8966.8  |proj g|=        8.479
-  At iterate     1  f =        105.1  |proj g|=         2.334
-  At iterate     2  f =       72.033  |proj g|=         1.432
-  ys=-3.162e+01  -gs= 1.899e+01, BFGS update SKIPPED
-  At iterate     3  f =       69.653  |proj g|=       0.92701
-  At iterate     4  f =       69.582  |proj g|=       0.12937
-  At iterate     5  f =       69.581  |proj g|=      0.021737
-  At iterate     6  f =       69.581  |proj g|=    0.00021522
-  At iterate     7  f =       69.581  |proj g|=    3.5364e-07
+  At iterate     0  f=       7169.4  |proj g|=       7.4358
+  At iterate     1  f =       102.06  |proj g|=        2.6361
+  At iterate     2  f =       66.643  |proj g|=       0.83951
+  At iterate     3  f =       66.539  |proj g|=       0.25493
+  Nonpositive definiteness in Cholesky factorization in formk;
+     refresh the lbfgs memory and restart the iteration.
+  At iterate     4  f =       66.538  |proj g|=     0.0029025
+  At iterate     5  f =       66.538  |proj g|=    5.0722e-05
   
-  iterations 7
-  function evaluations 32
+  iterations 5
+  function evaluations 20
   segments explored during Cauchy searches 10
-  BFGS updates skipped 1
+  BFGS updates skipped 0
   active bounds at final generalized Cauchy point 3
-  norm of the final projected gradient 3.53642e-07
-  final function value 69.5814
+  norm of the final projected gradient 5.07224e-05
+  final function value 66.5379
   
-  F = 69.5814
-  final  value 69.581353 
+  F = 66.5379
+  final  value 66.537872 
   converged
   
   optimisation start
@@ -810,34 +827,33 @@
   * trend model : ~1
   * covariance model : 
     - type :  matern5_2 
-    - nugget : 9.661654e-09 
+    - nugget : 8.554228e-09 
     - parameters lower bounds :  1e-10 1e-10 1e-10 
-    - parameters upper bounds :  4 2 1.968107 
-    - variance bounds :  0.09524022 9.661654 
-    - best initial criterion value(s) :  -8966.809 
+    - parameters upper bounds :  4 2 1.965496 
+    - variance bounds :  0.08080615 8.554228 
+    - best initial criterion value(s) :  -7169.351 
   
   N = 4, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=       8966.8  |proj g|=        8.479
-  At iterate     1  f =        105.1  |proj g|=         2.334
-  At iterate     2  f =       72.033  |proj g|=         1.432
-  ys=-3.162e+01  -gs= 1.899e+01, BFGS update SKIPPED
-  At iterate     3  f =       69.653  |proj g|=       0.92701
-  At iterate     4  f =       69.582  |proj g|=       0.12937
-  At iterate     5  f =       69.581  |proj g|=      0.021737
-  At iterate     6  f =       69.581  |proj g|=    0.00021522
-  At iterate     7  f =       69.581  |proj g|=    3.5364e-07
+  At iterate     0  f=       7169.4  |proj g|=       7.4358
+  At iterate     1  f =       102.06  |proj g|=        2.6361
+  At iterate     2  f =       66.643  |proj g|=       0.83951
+  At iterate     3  f =       66.539  |proj g|=       0.25493
+  Nonpositive definiteness in Cholesky factorization in formk;
+     refresh the lbfgs memory and restart the iteration.
+  At iterate     4  f =       66.538  |proj g|=     0.0029025
+  At iterate     5  f =       66.538  |proj g|=    5.0722e-05
   
-  iterations 7
-  function evaluations 32
+  iterations 5
+  function evaluations 20
   segments explored during Cauchy searches 10
-  BFGS updates skipped 1
+  BFGS updates skipped 0
   active bounds at final generalized Cauchy point 3
-  norm of the final projected gradient 3.53642e-07
-  final function value 69.5814
+  norm of the final projected gradient 5.07224e-05
+  final function value 66.5379
   
-  F = 69.5814
-  final  value 69.581353 
+  F = 66.5379
+  final  value 66.537872 
   converged
   
   optimisation start
@@ -848,32 +864,35 @@
   * trend model : ~1
   * covariance model : 
     - type :  matern5_2 
-    - nugget : 9.661654e-09 
+    - nugget : 8.554228e-09 
     - parameters lower bounds :  1e-10 1e-10 1e-10 
-    - parameters upper bounds :  4 2 1.968107 
-    - variance bounds :  0.09524022 9.661654 
-    - best initial criterion value(s) :  -112451.6 
+    - parameters upper bounds :  4 2 1.965496 
+    - variance bounds :  0.08080615 8.554228 
+    - best initial criterion value(s) :  -636.7494 
   
   N = 4, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=   1.1245e+05  |proj g|=        8.879
-  At iterate     1  f =        105.1  |proj g|=         2.334
-  At iterate     2  f =       69.702  |proj g|=       0.95122
-  At iterate     3  f =       69.582  |proj g|=       0.23745
-  At iterate     4  f =       69.581  |proj g|=      0.054067
-  At iterate     5  f =       69.581  |proj g|=    0.00098973
-  At iterate     6  f =       69.581  |proj g|=    4.0331e-06
+  At iterate     0  f=       636.75  |proj g|=       7.9115
+  At iterate     1  f =       102.06  |proj g|=        2.6361
+  At iterate     2  f =       67.822  |proj g|=        7.9358
+  At iterate     3  f =        66.84  |proj g|=        0.9026
+  At iterate     4  f =       66.615  |proj g|=       0.82708
+  At iterate     5  f =       66.552  |proj g|=        1.0482
+  At iterate     6  f =       66.538  |proj g|=       0.16451
+  At iterate     7  f =       66.538  |proj g|=      0.010779
+  At iterate     8  f =       66.538  |proj g|=    0.00012071
+  At iterate     9  f =       66.538  |proj g|=    8.7337e-08
   
-  iterations 6
+  iterations 9
   function evaluations 24
-  segments explored during Cauchy searches 10
+  segments explored during Cauchy searches 12
   BFGS updates skipped 0
-  active bounds at final generalized Cauchy point 2
-  norm of the final projected gradient 4.03311e-06
-  final function value 69.5814
+  active bounds at final generalized Cauchy point 3
+  norm of the final projected gradient 8.73373e-08
+  final function value 66.5379
   
-  F = 69.5814
-  final  value 69.581353 
+  F = 66.5379
+  final  value 66.537872 
   converged
   
   optimisation start
@@ -884,35 +903,33 @@
   * trend model : ~1
   * covariance model : 
     - type :  matern5_2 
-    - nugget : 9.661654e-09 
+    - nugget : 8.554228e-09 
     - parameters lower bounds :  1e-10 1e-10 1e-10 
-    - parameters upper bounds :  4 2 1.968107 
-    - variance bounds :  0.09524022 9.661654 
-    - best initial criterion value(s) :  -617.3145 
+    - parameters upper bounds :  4 2 1.965496 
+    - variance bounds :  0.08080615 8.554228 
+    - best initial criterion value(s) :  -1514.86 
   
   N = 4, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=       617.31  |proj g|=       8.6608
-  At iterate     1  f =        105.1  |proj g|=         2.334
-  At iterate     2  f =       70.589  |proj g|=        1.1803
-  ys=-2.278e+01  -gs= 1.957e+01, BFGS update SKIPPED
-  At iterate     3  f =       69.957  |proj g|=        1.0367
-  At iterate     4  f =       69.584  |proj g|=       0.36572
-  At iterate     5  f =       69.582  |proj g|=       0.16502
-  At iterate     6  f =       69.581  |proj g|=     0.0046615
-  At iterate     7  f =       69.581  |proj g|=    5.7398e-05
-  At iterate     8  f =       69.581  |proj g|=    2.0276e-08
+  At iterate     0  f=       1514.9  |proj g|=       7.5614
+  At iterate     1  f =       102.06  |proj g|=        2.6361
+  At iterate     2  f =        66.79  |proj g|=        5.0936
+  At iterate     3  f =       66.548  |proj g|=         0.782
+  At iterate     4  f =       66.539  |proj g|=       0.21045
+  At iterate     5  f =       66.538  |proj g|=      0.012715
+  At iterate     6  f =       66.538  |proj g|=    0.00018248
+  At iterate     7  f =       66.538  |proj g|=    1.5545e-07
   
-  iterations 8
-  function evaluations 30
-  segments explored during Cauchy searches 11
-  BFGS updates skipped 1
+  iterations 7
+  function evaluations 23
+  segments explored during Cauchy searches 10
+  BFGS updates skipped 0
   active bounds at final generalized Cauchy point 3
-  norm of the final projected gradient 2.02762e-08
-  final function value 69.5814
+  norm of the final projected gradient 1.55446e-07
+  final function value 66.5379
   
-  F = 69.5814
-  final  value 69.581353 
+  F = 66.5379
+  final  value 66.537872 
   converged
   
   optimisation start
@@ -927,46 +944,29 @@
     - parameters lower bounds :  1e-10 1e-10 
     - parameters upper bounds :  1.880582 44.27959 
     - variance bounds :  3.435024 622.0591 
-    - best initial criterion value(s) :  -250.1387 
+    - best initial criterion value(s) :  -334.0563 
   
   N = 3, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=       250.14  |proj g|=       2.7943
-  At iterate     1  f =        248.1  |proj g|=        1.3195
-  At iterate     2  f =       246.66  |proj g|=        1.3708
-  At iterate     3  f =       245.22  |proj g|=        1.7329
-  At iterate     4  f =        244.6  |proj g|=       0.93767
-  At iterate     5  f =       244.58  |proj g|=       0.20904
-  At iterate     6  f =       244.58  |proj g|=       0.20987
-  At iterate     7  f =       244.58  |proj g|=        1.3167
-  At iterate     8  f =       244.58  |proj g|=        1.7164
-  At iterate     9  f =       244.58  |proj g|=        1.7168
-  At iterate    10  f =       244.58  |proj g|=        1.7173
-  At iterate    11  f =       244.56  |proj g|=         1.718
-  At iterate    12  f =       244.53  |proj g|=        2.4487
-  At iterate    13  f =       244.46  |proj g|=         4.015
-  At iterate    14  f =       244.35  |proj g|=        5.6738
-  At iterate    15  f =       244.13  |proj g|=        6.9624
-  At iterate    16  f =       243.96  |proj g|=        7.0394
-  At iterate    17  f =       243.77  |proj g|=        2.8001
-  At iterate    18  f =       243.45  |proj g|=       0.15884
-  At iterate    19  f =       243.28  |proj g|=        1.7279
-  At iterate    20  f =       243.27  |proj g|=       0.15287
-  At iterate    21  f =       243.26  |proj g|=       0.15652
-  At iterate    22  f =       243.26  |proj g|=       0.13826
-  At iterate    23  f =       243.26  |proj g|=     0.0064349
-  At iterate    24  f =       243.26  |proj g|=     0.0021043
-  
-  iterations 24
-  function evaluations 29
-  segments explored during Cauchy searches 25
+  At iterate     0  f=       334.06  |proj g|=       1.2509
+  At iterate     1  f =       323.62  |proj g|=       0.35155
+  At iterate     2  f =       320.07  |proj g|=       0.27409
+  At iterate     3  f =       318.24  |proj g|=      0.042988
+  At iterate     4  f =       318.23  |proj g|=      0.029318
+  At iterate     5  f =       318.22  |proj g|=     0.0016784
+  At iterate     6  f =       318.22  |proj g|=    7.0679e-05
+  At iterate     7  f =       318.22  |proj g|=    1.6181e-07
+  
+  iterations 7
+  function evaluations 16
+  segments explored during Cauchy searches 9
   BFGS updates skipped 0
-  active bounds at final generalized Cauchy point 0
-  norm of the final projected gradient 0.00210434
-  final function value 243.264
+  active bounds at final generalized Cauchy point 2
+  norm of the final projected gradient 1.61806e-07
+  final function value 318.222
   
-  F = 243.264
-  final  value 243.264413 
+  F = 318.222
+  final  value 318.221782 
   converged
   
   optimisation start
@@ -981,26 +981,27 @@
     - parameters lower bounds :  1e-10 1e-10 
     - parameters upper bounds :  1.880582 44.27959 
     - variance bounds :  3.435024 622.0591 
-    - best initial criterion value(s) :  -2777.915 
+    - best initial criterion value(s) :  -4780.08 
   
   N = 3, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=       2777.9  |proj g|=       59.169
-  At iterate     1  f =       340.22  |proj g|=       0.32474
-  At iterate     2  f =       318.49  |proj g|=       0.13242
-  At iterate     3  f =       318.22  |proj g|=      0.013749
+  At iterate     0  f=       4780.1  |proj g|=       79.688
+  At iterate     1  f =       350.54  |proj g|=       0.27321
+  At iterate     2  f =        318.6  |proj g|=       0.15319
+  At iterate     3  f =       318.22  |proj g|=      0.015217
   Nonpositive definiteness in Cholesky factorization in formk;
      refresh the lbfgs memory and restart the iteration.
-  At iterate     4  f =       318.22  |proj g|=      0.010876
-  At iterate     5  f =       318.22  |proj g|=    0.00021231
-  At iterate     6  f =       318.22  |proj g|=    3.1992e-06
+  At iterate     4  f =       318.22  |proj g|=      0.012049
+  At iterate     5  f =       318.22  |proj g|=    0.00026152
+  At iterate     6  f =       318.22  |proj g|=    4.3741e-06
+  At iterate     7  f =       318.22  |proj g|=    1.5554e-09
   
-  iterations 6
-  function evaluations 25
-  segments explored during Cauchy searches 10
+  iterations 7
+  function evaluations 18
+  segments explored during Cauchy searches 11
   BFGS updates skipped 0
   active bounds at final generalized Cauchy point 2
-  norm of the final projected gradient 3.19916e-06
+  norm of the final projected gradient 1.55537e-09
   final function value 318.222
   
   F = 318.222
> library(data.table, lib.loc=R.home("library"))
> (sig.diff.dt <- myDiff(Rvers))
Key: <checking>
Empty data.table (0 rows and 3 cols): checking,master,release
> 
> ## If there are significant differences, use git bisect to find when
> ## they started.
> if(nrow(sig.diff.dt)){
+   dt.git <- file.path(task.dir, "data.table.git")
+   system(paste("cd ~/R/data.table && git fetch --tags"))
+   system(paste("git clone ~/R/data.table", dt.git))
+   release.tag <- gsub(".tar.gz|.*_", "", cargs[["release"]])
+   rev.parse.cmd <- paste(
+     "cd", dt.git, "&& git rev-parse master")
+   master.sha <- system(rev.parse.cmd, intern=TRUE)
+   merge.base.cmd <- paste(
+     "cd", dt.git, "&& git merge-base master", release.tag)
+   merge.base.sha <- system(merge.base.cmd, intern=TRUE)
+   old.sha <- merge.base.sha
+   run_R <- file.path(proj.dir, "install_dt_then_check_dep.R")
+   sig.diff.dt[, first.bad.commit := NA_character_]
+   sig.diff.dt[, comments := NA_character_]
+   for(diff.i in 1:nrow(sig.diff.dt)){
+     sig.diff.row <- sig.diff.dt[diff.i]
+     bisect.cmd <- paste(
+       "cd", dt.git, "&&",
+       "git bisect start &&",
+       "git bisect old", old.sha, "&&",
+       "git bisect new master &&",
+       "git bisect run",
+       R.home('bin/Rscript'),
+       run_R,
+       shQuote(sig.diff.row$checking),
+       sig.diff.row$release,
+       rev.dep.release.tar.gz,
+       release.tag)
+     print(bisect.cmd)
+     bisect.out <- system(bisect.cmd, intern=TRUE)
+     cat(bisect.out,sep="\n")
+     if(is.null(attr(bisect.out,"status"))){
+       first.bad.sha <- nc::capture_all_str(
+         bisect.out,
+         sha="[0-9a-f]+",
+         " is the first new commit")$sha
+       parent.cmd <- paste(
+         "cd ~/R/data.table && git log --pretty=%P -n 1",
+         first.bad.sha)
+       parent.sha <- system(parent.cmd, intern=TRUE)
+       sig.diff.dt[diff.i, first.bad.commit := first.bad.sha]
+       parent.msg <- paste0("parent=", parent.sha)
+       this.comment <- if(parent.sha==old.sha){
+         paste(parent.msg, "same as git bisect old")
+       }else if(first.bad.sha==master.sha){
+         paste("same as git bisect new=master,", parent.msg)
+       }else{
+         parent.msg
+       }
+       sig.diff.dt[diff.i, comments := this.comment]
+     }
+   }
+   ## add CRAN column.
+   sig.diff.dt[, CRAN := {
+     flavor <- get_flavor(Rvers)
+     details <- data.table(flavor=unique(flavor))[, {
+       base <- "https://www.r-project.org/nosvn/R.check/"
+       u <- paste0(base, flavor, "/", rev.dep, "-00check.txt")
+       check.txt <- tempfile()
+       tryCatch({
+         download.file(u, check.txt, quiet=TRUE)
+       }, error=function(e){
+         NULL
+       })
+       check.lines <- if(file.exists(check.txt)){
+         readLines(check.txt,encoding="UTF-8")
+       }else{
+         ""
+       }
+       repl.lines <- gsub("[\u2018\u2019]", "'", check.lines)
+       ##gsub("[‘’]", "'", check.lines) does not work with LC_ALL=C.
+       myStatus(line.vec=repl.lines)
+     }, by=flavor]
+     select.dt <- data.table(flavor, checking)
+     details[select.dt, msg, on=.(flavor, checking)]
+   }]
+   dir.create(file.path(job.dir, Rvers))
+   diffs.csv <- file.path(job.dir, Rvers, "significant_differences.csv")
+   data.table::fwrite(sig.diff.dt, diffs.csv)
+   print(sig.diff.dt)
+ }
>