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

WARNING: ignoring environment value of R_HOME

R Under development (unstable) (2025-03-28 r88067) -- "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.

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/2025-03-29/deps.csv", 
task.str = "844", release = "/scratch/th798/data.table-revdeps/2025-03-29/data.table_release_1.17.0.tar.gz", 
master = "/scratch/th798/data.table-revdeps/2025-03-29/data.table_master_1.17.99.2cb03162a21328cc5f68a8c3b0e554f5edfcb5b9.tar.gz"
)
> (task.dir <- dirname(.libPaths()[1]))#should be /tmp/th798/slurmid/R-vers
[1] "/tmp/th798/16179532/R-devel/844"
> if(requireNamespace("R.cache"))R.cache::getCachePath()
Loading required namespace: R.cache
[1] "/tmp/th798/16179532/R-devel/844/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/th798/16179532/R-devel/844/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] "2025-03-29 01:00:51 MST"
> install.time <- system.time({
+   install.packages(rev.dep, dep=TRUE)
+ })
Installing package into '/tmp/th798/16179532/R-devel/844/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/th798/16179532/R-devel/844/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/th798/16179532/R-devel/844/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/th798/16179532/RtmpkK0h7L/downloaded_packages'
> cat("Time to install revdep:\n")
Time to install revdep:
> print(install.time)
   user  system elapsed 
 72.581   3.100  84.569 
> print(Sys.time())
[1] "2025-03-29 01:02:16 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] "2025-03-29 01:02:16 MST"
Installing package into '/tmp/th798/16179532/R-devel/844/library'
(as 'lib' is unspecified)
* installing *source* package 'data.table' ...
** this is package 'data.table' version '1.17.0'
** 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/th798/16179532/R-devel/844/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] "2025-03-29 01:02:42 MST"
* using log directory '/tmp/th798/16179532/R-devel/844/mlr3learners.Rcheck'
* using R Under development (unstable) (2025-03-28 r88067)
* 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 26.812  0.127  27.259
* 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 20.391705 
  converged
  # weights:  3 (2 variable)
  initial  value 20.794415 
  final  value 20.391705 
  converged
  # weights:  3 (2 variable)
  initial  value 20.794415 
  final  value 20.788509 
  converged
  # weights:  3 (2 variable)
  initial  value 20.794415 
  final  value 20.788509 
  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 19.688664 
  converged
  # weights:  6 (5 variable)
  initial  value 20.794415 
  final  value 19.688664 
  converged
  # weights:  6 (5 variable)
  initial  value 20.794415 
  final  value 19.688664 
  converged
  # weights:  6 (5 variable)
  initial  value 20.794415 
  final  value 19.688664 
  converged
  # weights:  6 (5 variable)
  initial  value 9.939849 
  iter  10 value 6.899320
  final  value 6.898627 
  converged
  # weights:  6 (5 variable)
  initial  value 9.939849 
  iter  10 value 6.899320
  final  value 6.898627 
  converged
  # weights:  6 (5 variable)
  initial  value 20.794415 
  final  value 19.688664 
  converged
  # weights:  6 (5 variable)
  initial  value 20.794415 
  final  value 19.688664 
  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 31.884179 
  converged
  # weights:  9 (4 variable)
  initial  value 32.958369 
  final  value 31.884179 
  converged
  # weights:  9 (4 variable)
  initial  value 32.958369 
  final  value 32.859948 
  converged
  # weights:  9 (4 variable)
  initial  value 32.958369 
  final  value 32.859948 
  converged
  # weights:  9 (4 variable)
  initial  value 32.958369 
  final  value 31.312711 
  converged
  # weights:  9 (4 variable)
  initial  value 32.958369 
  final  value 31.312711 
  converged
  # weights:  18 (10 variable)
  initial  value 32.958369 
  iter  10 value 29.651988
  final  value 29.651736 
  converged
  # weights:  18 (10 variable)
  initial  value 32.958369 
  iter  10 value 29.651988
  final  value 29.651736 
  converged
  # weights:  18 (10 variable)
  initial  value 32.958369 
  iter  10 value 29.651988
  final  value 29.651736 
  converged
  # weights:  18 (10 variable)
  initial  value 32.958369 
  iter  10 value 29.651988
  final  value 29.651736 
  converged
  # weights:  18 (10 variable)
  initial  value 16.414324 
  iter  10 value 14.005040
  iter  20 value 13.963223
  final  value 13.963210 
  converged
  # weights:  18 (10 variable)
  initial  value 16.414324 
  iter  10 value 14.005040
  iter  20 value 13.963223
  final  value 13.963210 
  converged
  # weights:  18 (10 variable)
  initial  value 32.958369 
  iter  10 value 29.651988
  final  value 29.651736 
  converged
  # weights:  18 (10 variable)
  initial  value 32.958369 
  iter  10 value 29.651988
  final  value 29.651736 
  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 : 9.55657e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.965423 
    - variance bounds :  0.08997199 9.55657 
    - best initial criterion value(s) :  -121.9777 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       121.98  |proj g|=       8.5971
  At iterate     1  f =       104.83  |proj g|=        2.3596
  At iterate     2  f =        69.61  |proj g|=        1.0086
  ys=-8.431e+00  -gs= 1.996e+01, BFGS update SKIPPED
  At iterate     3  f =       69.523  |proj g|=       0.98098
  At iterate     4  f =       69.355  |proj g|=        1.7781
  At iterate     5  f =       69.312  |proj g|=       0.45117
  At iterate     6  f =       69.308  |proj g|=      0.053688
  At iterate     7  f =       69.308  |proj g|=     0.0019053
  At iterate     8  f =       69.308  |proj g|=    7.7013e-06
  
  iterations 8
  function evaluations 26
  segments explored during Cauchy searches 11
  BFGS updates skipped 1
  active bounds at final generalized Cauchy point 2
  norm of the final projected gradient 7.70131e-06
  final function value 69.308
  
  F = 69.308
  final  value 69.307953 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 9.55657e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.965423 
    - variance bounds :  0.08997199 9.55657 
    - best initial criterion value(s) :  -121.9777 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       121.98  |proj g|=       8.5971
  At iterate     1  f =       104.83  |proj g|=        2.3596
  At iterate     2  f =        69.61  |proj g|=        1.0086
  ys=-8.431e+00  -gs= 1.996e+01, BFGS update SKIPPED
  At iterate     3  f =       69.523  |proj g|=       0.98098
  At iterate     4  f =       69.355  |proj g|=        1.7781
  At iterate     5  f =       69.312  |proj g|=       0.45117
  At iterate     6  f =       69.308  |proj g|=      0.053688
  At iterate     7  f =       69.308  |proj g|=     0.0019053
  At iterate     8  f =       69.308  |proj g|=    7.7013e-06
  
  iterations 8
  function evaluations 26
  segments explored during Cauchy searches 11
  BFGS updates skipped 1
  active bounds at final generalized Cauchy point 2
  norm of the final projected gradient 7.70131e-06
  final function value 69.308
  
  F = 69.308
  final  value 69.307953 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 9.55657e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.965423 
    - variance bounds :  0.08997199 9.55657 
    - best initial criterion value(s) :  -6008993 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=    6.009e+06  |proj g|=       8.2929
  At iterate     1  f =       104.83  |proj g|=        2.3596
  At iterate     2  f =       70.025  |proj g|=         1.112
  ys=-1.866e+01  -gs= 1.971e+01, BFGS update SKIPPED
  At iterate     3  f =       69.508  |proj g|=       0.97575
  At iterate     4  f =       69.317  |proj g|=       0.69135
  At iterate     5  f =       69.309  |proj g|=       0.22236
  At iterate     6  f =       69.308  |proj g|=      0.012059
  At iterate     7  f =       69.308  |proj g|=    0.00019704
  At iterate     8  f =       69.308  |proj g|=    1.7823e-07
  
  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 1.78226e-07
  final function value 69.308
  
  F = 69.308
  final  value 69.307953 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 9.55657e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.965423 
    - variance bounds :  0.08997199 9.55657 
    - best initial criterion value(s) :  -6008993 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=    6.009e+06  |proj g|=       8.2929
  At iterate     1  f =       104.83  |proj g|=        2.3596
  At iterate     2  f =       70.025  |proj g|=         1.112
  ys=-1.866e+01  -gs= 1.971e+01, BFGS update SKIPPED
  At iterate     3  f =       69.508  |proj g|=       0.97575
  At iterate     4  f =       69.317  |proj g|=       0.69135
  At iterate     5  f =       69.309  |proj g|=       0.22236
  At iterate     6  f =       69.308  |proj g|=      0.012059
  At iterate     7  f =       69.308  |proj g|=    0.00019704
  At iterate     8  f =       69.308  |proj g|=    1.7823e-07
  
  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 1.78226e-07
  final function value 69.308
  
  F = 69.308
  final  value 69.307953 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 9.55657e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.965423 
    - variance bounds :  0.08997199 9.55657 
    - best initial criterion value(s) :  -204.5399 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       204.54  |proj g|=       8.7035
  At iterate     1  f =       104.83  |proj g|=        2.3596
  At iterate     2  f =        69.44  |proj g|=        3.1439
  At iterate     3  f =       69.309  |proj g|=        0.2868
  At iterate     4  f =       69.308  |proj g|=      0.053723
  At iterate     5  f =       69.308  |proj g|=     0.0011925
  At iterate     6  f =       69.308  |proj g|=    4.8237e-06
  
  iterations 6
  function evaluations 21
  segments explored during Cauchy searches 9
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 2
  norm of the final projected gradient 4.82374e-06
  final function value 69.308
  
  F = 69.308
  final  value 69.307953 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 9.55657e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.965423 
    - variance bounds :  0.08997199 9.55657 
    - best initial criterion value(s) :  -42063.18 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=        42063  |proj g|=       8.4469
  At iterate     1  f =       104.83  |proj g|=        2.3596
  At iterate     2  f =       71.022  |proj g|=        1.2997
  ys=-2.864e+01  -gs= 1.927e+01, BFGS update SKIPPED
  At iterate     3  f =        70.26  |proj g|=        1.1608
  At iterate     4  f =       69.338  |proj g|=        0.8944
  At iterate     5  f =       69.308  |proj g|=       0.11278
  At iterate     6  f =       69.308  |proj g|=      0.011954
  At iterate     7  f =       69.308  |proj g|=    0.00010198
  At iterate     8  f =       69.308  |proj g|=     9.123e-08
  
  iterations 8
  function evaluations 33
  segments explored during Cauchy searches 11
  BFGS updates skipped 1
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 9.12303e-08
  final function value 69.308
  
  F = 69.308
  final  value 69.307953 
  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) :  -533.5869 
  
  N = 3, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       533.59  |proj g|=        11.96
  At iterate     1  f =       318.89  |proj g|=       0.19253
  At iterate     2  f =       318.53  |proj g|=       0.14126
  At iterate     3  f =       318.29  |proj g|=      0.085313
  At iterate     4  f =       318.23  |proj g|=      0.018529
  At iterate     5  f =       318.22  |proj g|=     0.0019369
  At iterate     6  f =       318.22  |proj g|=    5.0583e-05
  At iterate     7  f =       318.22  |proj g|=     1.337e-07
  
  iterations 7
  function evaluations 17
  segments explored during Cauchy searches 9
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 2
  norm of the final projected gradient 1.33699e-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) :  -2204.807 
  
  N = 3, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       2204.8  |proj g|=       84.209
  At iterate     1  f =       342.05  |proj g|=       0.31567
  At iterate     2  f =       318.57  |proj g|=       0.14822
  At iterate     3  f =       318.22  |proj g|=      0.014944
  Nonpositive definiteness in Cholesky factorization in formk;
     refresh the lbfgs memory and restart the iteration.
  At iterate     4  f =       318.22  |proj g|=      0.011831
  At iterate     5  f =       318.22  |proj g|=    0.00025196
  At iterate     6  f =       318.22  |proj g|=    4.1363e-06
  At iterate     7  f =       318.22  |proj g|=     1.417e-09
  
  iterations 7
  function evaluations 21
  segments explored during Cauchy searches 11
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 2
  norm of the final projected gradient 1.41703e-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) :  -31606.62 
  
  N = 3, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=        31607  |proj g|=          543
  At iterate     1  f =       414.64  |proj g|=      0.078503
  At iterate     2  f =       318.24  |proj g|=      0.042975
  At iterate     3  f =       318.22  |proj g|=     0.0033542
  Nonpositive definiteness in Cholesky factorization in formk;
     refresh the lbfgs memory and restart the iteration.
  At iterate     4  f =       318.22  |proj g|=      0.002635
  At iterate     5  f =       318.22  |proj g|=    1.2146e-05
  At iterate     6  f =       318.22  |proj g|=    4.3732e-08
  
  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 4.37322e-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) :  -392.7612 
  
  N = 3, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       392.76  |proj g|=       6.0426
  At iterate     1  f =       324.83  |proj g|=       0.36039
  At iterate     2  f =        322.9  |proj g|=       0.34375
  At iterate     3  f =       318.46  |proj g|=       0.12663
  Nonpositive definiteness in Cholesky factorization in formk;
     refresh the lbfgs memory and restart the iteration.
  At iterate     4  f =       318.39  |proj g|=       0.10782
  At iterate     5  f =       318.23  |proj g|=      0.030852
  At iterate     6  f =       318.22  |proj g|=     0.0052524
  At iterate     7  f =       318.22  |proj g|=    0.00021132
  At iterate     8  f =       318.22  |proj g|=     1.524e-06
  
  iterations 8
  function evaluations 15
  segments explored during Cauchy searches 11
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 2
  norm of the final projected gradient 1.52399e-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 : 1.013566e-08 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.962593 
    - variance bounds :  0.1013566 10.46896 
    - best initial criterion value(s) :  -399428 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=   3.9943e+05  |proj g|=       9.4698
  At iterate     1  f =       107.03  |proj g|=        2.1614
  At iterate     2  f =       70.802  |proj g|=       0.93605
  At iterate     3  f =       70.779  |proj g|=      0.090878
  At iterate     4  f =       70.779  |proj g|=      0.008333
  At iterate     5  f =       70.779  |proj g|=    6.0675e-05
  At iterate     6  f =       70.779  |proj g|=    4.0144e-08
  
  iterations 6
  function evaluations 21
  segments explored during Cauchy searches 10
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 2
  norm of the final projected gradient 4.01439e-08
  final function value 70.7787
  
  F = 70.7787
  final  value 70.778733 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 1.013566e-08 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.962593 
    - variance bounds :  0.1013566 10.46896 
    - best initial criterion value(s) :  -399428 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=   3.9943e+05  |proj g|=       9.4698
  At iterate     1  f =       107.03  |proj g|=        2.1614
  At iterate     2  f =       70.802  |proj g|=       0.93605
  At iterate     3  f =       70.779  |proj g|=      0.090878
  At iterate     4  f =       70.779  |proj g|=      0.008333
  At iterate     5  f =       70.779  |proj g|=    6.0675e-05
  At iterate     6  f =       70.779  |proj g|=    4.0144e-08
  
  iterations 6
  function evaluations 21
  segments explored during Cauchy searches 10
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 2
  norm of the final projected gradient 4.01439e-08
  final function value 70.7787
  
  F = 70.7787
  final  value 70.778733 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 1.013566e-08 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.962593 
    - variance bounds :  0.1013566 10.46896 
    - best initial criterion value(s) :  -150810.5 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=   1.5081e+05  |proj g|=       9.6609
  At iterate     1  f =       107.03  |proj g|=        2.1614
  At iterate     2  f =        73.18  |proj g|=        9.8088
  At iterate     3  f =       71.511  |proj g|=        1.1769
  At iterate     4  f =       71.075  |proj g|=        1.0621
  At iterate     5  f =       70.801  |proj g|=       0.93517
  At iterate     6  f =       70.782  |proj g|=       0.43293
  At iterate     7  f =       70.779  |proj g|=      0.036796
  At iterate     8  f =       70.779  |proj g|=     0.0012182
  At iterate     9  f =       70.779  |proj g|=    3.5756e-06
  
  iterations 9
  function evaluations 27
  segments explored during Cauchy searches 12
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 3.57562e-06
  final function value 70.7787
  
  F = 70.7787
  final  value 70.778733 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 1.013566e-08 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.962593 
    - variance bounds :  0.1013566 10.46896 
    - best initial criterion value(s) :  -150810.5 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=   1.5081e+05  |proj g|=       9.6609
  At iterate     1  f =       107.03  |proj g|=        2.1614
  At iterate     2  f =        73.18  |proj g|=        9.8088
  At iterate     3  f =       71.511  |proj g|=        1.1769
  At iterate     4  f =       71.075  |proj g|=        1.0621
  At iterate     5  f =       70.801  |proj g|=       0.93517
  At iterate     6  f =       70.782  |proj g|=       0.43293
  At iterate     7  f =       70.779  |proj g|=      0.036796
  At iterate     8  f =       70.779  |proj g|=     0.0012182
  At iterate     9  f =       70.779  |proj g|=    3.5756e-06
  
  iterations 9
  function evaluations 27
  segments explored during Cauchy searches 12
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 3.57562e-06
  final function value 70.7787
  
  F = 70.7787
  final  value 70.778733 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 1.013566e-08 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.962593 
    - variance bounds :  0.1013566 10.46896 
    - best initial criterion value(s) :  -201.953 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       201.95  |proj g|=       9.3253
  At iterate     1  f =       107.03  |proj g|=        2.1614
  At iterate     2  f =       71.043  |proj g|=        1.0515
  ys=-7.826e+00  -gs= 2.014e+01, BFGS update SKIPPED
  At iterate     3  f =       70.957  |proj g|=        1.0208
  At iterate     4  f =        70.81  |proj g|=        1.3557
  At iterate     5  f =       70.781  |proj g|=       0.32061
  At iterate     6  f =       70.779  |proj g|=      0.031405
  At iterate     7  f =       70.779  |proj g|=    0.00082917
  At iterate     8  f =       70.779  |proj g|=    2.0755e-06
  
  iterations 8
  function evaluations 24
  segments explored during Cauchy searches 11
  BFGS updates skipped 1
  active bounds at final generalized Cauchy point 2
  norm of the final projected gradient 2.07555e-06
  final function value 70.7787
  
  F = 70.7787
  final  value 70.778733 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 1.013566e-08 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.962593 
    - variance bounds :  0.1013566 10.46896 
    - best initial criterion value(s) :  -46900.32 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=        46900  |proj g|=        9.752
  At iterate     1  f =       107.03  |proj g|=        2.1614
  At iterate     2  f =       71.524  |proj g|=        1.1799
  ys=-2.043e+01  -gs= 1.986e+01, BFGS update SKIPPED
  At iterate     3  f =       70.954  |proj g|=        1.0193
  At iterate     4  f =       70.786  |proj g|=        0.5775
  At iterate     5  f =       70.779  |proj g|=       0.16989
  At iterate     6  f =       70.779  |proj g|=     0.0081311
  At iterate     7  f =       70.779  |proj g|=    0.00010804
  At iterate     8  f =       70.779  |proj g|=    6.9864e-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 6.98639e-08
  final function value 70.7787
  
  F = 70.7787
  final  value 70.778733 
  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) :  -315.0841 
  
  N = 3, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       315.08  |proj g|=       3.9353
  At iterate     1  f =       263.34  |proj g|=        1.7901
  At iterate     2  f =       262.96  |proj g|=        1.7868
  At iterate     3  f =       262.03  |proj g|=        2.6415
  At iterate     4  f =       252.39  |proj g|=        1.6953
  At iterate     5  f =       252.31  |proj g|=       0.59939
  At iterate     6  f =       252.31  |proj g|=       0.31623
  At iterate     7  f =       252.31  |proj g|=       0.20489
  At iterate     8  f =        252.3  |proj g|=       0.29205
  At iterate     9  f =       252.28  |proj g|=       0.62323
  At iterate    10  f =       252.23  |proj g|=        1.1146
  At iterate    11  f =        252.1  |proj g|=        1.7498
  At iterate    12  f =       251.76  |proj g|=        1.7143
  At iterate    13  f =        250.9  |proj g|=        1.6255
  At iterate    14  f =       249.54  |proj g|=        1.4505
  At iterate    15  f =       247.32  |proj g|=        1.4015
  At iterate    16  f =       243.72  |proj g|=        5.5633
  At iterate    17  f =       243.55  |proj g|=        5.8594
  At iterate    18  f =       243.33  |proj g|=        2.6995
  At iterate    19  f =       243.32  |proj g|=        2.3461
  At iterate    20  f =        243.3  |proj g|=        1.1694
  At iterate    21  f =       243.28  |proj g|=       0.22058
  At iterate    22  f =       243.27  |proj g|=        1.7286
  At iterate    23  f =       243.26  |proj g|=       0.27293
  At iterate    24  f =       243.26  |proj g|=        0.1007
  At iterate    25  f =       243.26  |proj g|=      0.034409
  At iterate    26  f =       243.26  |proj g|=     0.0024883
  At iterate    27  f =       243.26  |proj g|=     0.0014614
  
  iterations 27
  function evaluations 34
  segments explored during Cauchy searches 29
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 0
  norm of the final projected gradient 0.00146141
  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) :  -1642.968 
  
  N = 3, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=         1643  |proj g|=       21.463
  At iterate     1  f =       335.33  |proj g|=       0.34756
  At iterate     2  f =       318.97  |proj g|=       0.20068
  At iterate     3  f =        318.3  |proj g|=      0.074939
  Nonpositive definiteness in Cholesky factorization in formk;
     refresh the lbfgs memory and restart the iteration.
  At iterate     4  f =       318.27  |proj g|=      0.061717
  At iterate     5  f =       318.22  |proj g|=      0.008195
  At iterate     6  f =       318.22  |proj g|=    0.00075841
  At iterate     7  f =       318.22  |proj g|=     8.349e-06
  At iterate     8  f =       318.22  |proj g|=    8.6244e-09
  
  iterations 8
  function evaluations 19
  segments explored during Cauchy searches 12
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 2
  norm of the final projected gradient 8.62444e-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/th798/16179532/R-devel/844/mlr3learners.Rcheck/00check.log'
for details.

[1] "2025-03-29 01:11:21 MST"
[1] "2025-03-29 01:11:21 MST"
Installing package into '/tmp/th798/16179532/R-devel/844/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/th798/16179532/R-devel/844/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] "2025-03-29 01:11:52 MST"
* using log directory '/tmp/th798/16179532/R-devel/844/mlr3learners.Rcheck'
* using R Under development (unstable) (2025-03-28 r88067)
* 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 27.009  0.124  27.527
* 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 20.694248 
  converged
  # weights:  3 (2 variable)
  initial  value 20.794415 
  final  value 20.694248 
  converged
  # weights:  3 (2 variable)
  initial  value 20.794415 
  final  value 20.559671 
  converged
  # weights:  3 (2 variable)
  initial  value 20.794415 
  final  value 20.559671 
  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 19.627975 
  converged
  # weights:  6 (5 variable)
  initial  value 20.794415 
  final  value 19.627975 
  converged
  # weights:  6 (5 variable)
  initial  value 20.794415 
  final  value 19.627975 
  converged
  # weights:  6 (5 variable)
  initial  value 20.794415 
  final  value 19.627975 
  converged
  # weights:  6 (5 variable)
  initial  value 9.679545 
  iter  10 value 9.135445
  final  value 9.135444 
  converged
  # weights:  6 (5 variable)
  initial  value 9.679545 
  iter  10 value 9.135445
  final  value 9.135444 
  converged
  # weights:  6 (5 variable)
  initial  value 20.794415 
  final  value 19.627975 
  converged
  # weights:  6 (5 variable)
  initial  value 20.794415 
  final  value 19.627975 
  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 30.423450 
  converged
  # weights:  9 (4 variable)
  initial  value 32.958369 
  final  value 30.423450 
  converged
  # weights:  9 (4 variable)
  initial  value 32.958369 
  final  value 29.682602 
  converged
  # weights:  9 (4 variable)
  initial  value 32.958369 
  final  value 29.682602 
  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 28.758948
  final  value 28.736558 
  converged
  # weights:  18 (10 variable)
  initial  value 32.958369 
  iter  10 value 28.758948
  final  value 28.736558 
  converged
  # weights:  18 (10 variable)
  initial  value 32.958369 
  iter  10 value 28.758948
  final  value 28.736558 
  converged
  # weights:  18 (10 variable)
  initial  value 32.958369 
  iter  10 value 28.758948
  final  value 28.736558 
  converged
  # weights:  18 (10 variable)
  initial  value 14.149724 
  iter  10 value 13.168164
  iter  20 value 13.149875
  final  value 13.149869 
  converged
  # weights:  18 (10 variable)
  initial  value 14.149724 
  iter  10 value 13.168164
  iter  20 value 13.149875
  final  value 13.149869 
  converged
  # weights:  18 (10 variable)
  initial  value 32.958369 
  iter  10 value 28.758948
  final  value 28.736558 
  converged
  # weights:  18 (10 variable)
  initial  value 32.958369 
  iter  10 value 28.758948
  final  value 28.736558 
  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 : 8.00154e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.983064 
    - variance bounds :  0.07613345 8.00154 
    - best initial criterion value(s) :  -2055.919 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       2055.9  |proj g|=       7.5837
  At iterate     1  f =       100.39  |proj g|=        2.8182
  At iterate     2  f =       66.802  |proj g|=        1.1184
  ys=-2.976e+01  -gs= 1.918e+01, BFGS update SKIPPED
  At iterate     3  f =       66.032  |proj g|=        1.0053
  At iterate     4  f =       64.883  |proj g|=       0.73585
  At iterate     5  f =       64.868  |proj g|=      0.074192
  At iterate     6  f =       64.868  |proj g|=      0.005393
  At iterate     7  f =       64.868  |proj g|=    2.5236e-05
  At iterate     8  f =       64.868  |proj g|=    8.5343e-09
  
  iterations 8
  function evaluations 25
  segments explored during Cauchy searches 11
  BFGS updates skipped 1
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 8.5343e-09
  final function value 64.8681
  
  F = 64.8681
  final  value 64.868083 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 8.00154e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.983064 
    - variance bounds :  0.07613345 8.00154 
    - best initial criterion value(s) :  -2055.919 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       2055.9  |proj g|=       7.5837
  At iterate     1  f =       100.39  |proj g|=        2.8182
  At iterate     2  f =       66.802  |proj g|=        1.1184
  ys=-2.976e+01  -gs= 1.918e+01, BFGS update SKIPPED
  At iterate     3  f =       66.032  |proj g|=        1.0053
  At iterate     4  f =       64.883  |proj g|=       0.73585
  At iterate     5  f =       64.868  |proj g|=      0.074192
  At iterate     6  f =       64.868  |proj g|=      0.005393
  At iterate     7  f =       64.868  |proj g|=    2.5236e-05
  At iterate     8  f =       64.868  |proj g|=    8.5343e-09
  
  iterations 8
  function evaluations 25
  segments explored during Cauchy searches 11
  BFGS updates skipped 1
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 8.5343e-09
  final function value 64.8681
  
  F = 64.8681
  final  value 64.868083 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 8.00154e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.983064 
    - variance bounds :  0.07613345 8.00154 
    - best initial criterion value(s) :  -1140.903 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       1140.9  |proj g|=       7.3726
  At iterate     1  f =       100.39  |proj g|=        2.8182
  At iterate     2  f =       67.201  |proj g|=        1.1728
  ys=-3.127e+01  -gs= 1.903e+01, BFGS update SKIPPED
  At iterate     3  f =       64.895  |proj g|=       0.74572
  At iterate     4  f =       64.868  |proj g|=      0.053727
  At iterate     5  f =       64.868  |proj g|=     0.0053153
  At iterate     6  f =       64.868  |proj g|=    1.7983e-05
  At iterate     7  f =       64.868  |proj g|=    5.9938e-09
  
  iterations 7
  function evaluations 28
  segments explored during Cauchy searches 10
  BFGS updates skipped 1
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 5.99378e-09
  final function value 64.8681
  
  F = 64.8681
  final  value 64.868083 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 8.00154e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.983064 
    - variance bounds :  0.07613345 8.00154 
    - best initial criterion value(s) :  -1140.903 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       1140.9  |proj g|=       7.3726
  At iterate     1  f =       100.39  |proj g|=        2.8182
  At iterate     2  f =       67.201  |proj g|=        1.1728
  ys=-3.127e+01  -gs= 1.903e+01, BFGS update SKIPPED
  At iterate     3  f =       64.895  |proj g|=       0.74572
  At iterate     4  f =       64.868  |proj g|=      0.053727
  At iterate     5  f =       64.868  |proj g|=     0.0053153
  At iterate     6  f =       64.868  |proj g|=    1.7983e-05
  At iterate     7  f =       64.868  |proj g|=    5.9938e-09
  
  iterations 7
  function evaluations 28
  segments explored during Cauchy searches 10
  BFGS updates skipped 1
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 5.99378e-09
  final function value 64.8681
  
  F = 64.8681
  final  value 64.868083 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 8.00154e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.983064 
    - variance bounds :  0.07613345 8.00154 
    - best initial criterion value(s) :  -277.2577 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       277.26  |proj g|=        7.469
  At iterate     1  f =       100.39  |proj g|=        2.8182
  At iterate     2  f =       67.301  |proj g|=        1.1862
  ys=-3.157e+01  -gs= 1.899e+01, BFGS update SKIPPED
  At iterate     3  f =       64.932  |proj g|=       0.76707
  At iterate     4  f =       64.868  |proj g|=       0.13875
  At iterate     5  f =       64.868  |proj g|=      0.021959
  At iterate     6  f =       64.868  |proj g|=     0.0001929
  At iterate     7  f =       64.868  |proj g|=    2.6527e-07
  
  iterations 7
  function evaluations 24
  segments explored during Cauchy searches 10
  BFGS updates skipped 1
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 2.65272e-07
  final function value 64.8681
  
  F = 64.8681
  final  value 64.868083 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 8.00154e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.983064 
    - variance bounds :  0.07613345 8.00154 
    - best initial criterion value(s) :  -27727.71 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=        27728  |proj g|=       7.4024
  At iterate     1  f =       100.39  |proj g|=        2.8182
  At iterate     2  f =       66.457  |proj g|=        1.0694
  ys=-2.788e+01  -gs= 1.932e+01, BFGS update SKIPPED
  At iterate     3  f =       65.706  |proj g|=       0.95169
  At iterate     4  f =       64.897  |proj g|=       0.74675
  At iterate     5  f =       64.886  |proj g|=        1.2642
  At iterate     6  f =       64.868  |proj g|=       0.11553
  At iterate     7  f =       64.868  |proj g|=     0.0084149
  At iterate     8  f =       64.868  |proj g|=    6.1585e-05
  At iterate     9  f =       64.868  |proj g|=    3.2531e-08
  
  iterations 9
  function evaluations 31
  segments explored during Cauchy searches 12
  BFGS updates skipped 1
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 3.25307e-08
  final function value 64.8681
  
  F = 64.8681
  final  value 64.868083 
  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) :  -998.4239 
  
  N = 3, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       998.42  |proj g|=       23.214
  At iterate     1  f =       324.58  |proj g|=       0.35893
  At iterate     2  f =       320.98  |proj g|=       0.30669
  At iterate     3  f =       318.22  |proj g|=     0.0055456
  Nonpositive definiteness in Cholesky factorization in formk;
     refresh the lbfgs memory and restart the iteration.
  At iterate     4  f =       318.22  |proj g|=     0.0043307
  At iterate     5  f =       318.22  |proj g|=    3.2129e-05
  At iterate     6  f =       318.22  |proj g|=    1.8787e-07
  
  iterations 6
  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 1.87873e-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) :  -281.0675 
  
  N = 3, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       281.07  |proj g|=       40.974
  At iterate     1  f =       252.38  |proj g|=        3.2193
  At iterate     2  f =       252.25  |proj g|=        1.2445
  At iterate     3  f =       252.23  |proj g|=       0.20702
  At iterate     4  f =       252.23  |proj g|=        1.3568
  At iterate     5  f =        252.2  |proj g|=        1.6904
  At iterate     6  f =       252.13  |proj g|=        1.6936
  At iterate     7  f =       251.95  |proj g|=        2.2462
  At iterate     8  f =       251.45  |proj g|=        4.0203
  At iterate     9  f =       249.77  |proj g|=        6.6318
  At iterate    10  f =       247.86  |proj g|=        6.7145
  At iterate    11  f =       247.04  |proj g|=        4.7228
  At iterate    12  f =       244.85  |proj g|=        1.7431
  At iterate    13  f =       244.54  |proj g|=        1.7458
  At iterate    14  f =       244.25  |proj g|=        1.7469
  At iterate    15  f =       243.39  |proj g|=        1.7365
  At iterate    16  f =       243.27  |proj g|=        1.7283
  At iterate    17  f =       243.26  |proj g|=      0.075453
  At iterate    18  f =       243.26  |proj g|=     0.0038293
  At iterate    19  f =       243.26  |proj g|=    0.00025848
  
  iterations 19
  function evaluations 28
  segments explored during Cauchy searches 20
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 0
  norm of the final projected gradient 0.00025848
  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) :  -24715.2 
  
  N = 3, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=        24715  |proj g|=       387.54
  At iterate     1  f =       401.24  |proj g|=        0.1025
  At iterate     2  f =       322.92  |proj g|=       0.34395
  ys=-9.580e+01  -gs= 4.067e+01, BFGS update SKIPPED
  At iterate     3  f =       319.48  |proj g|=       0.24238
  At iterate     4  f =       318.24  |proj g|=      0.037229
  At iterate     5  f =       318.23  |proj g|=      0.024581
  At iterate     6  f =       318.22  |proj g|=     0.0012739
  At iterate     7  f =       318.22  |proj g|=     4.098e-05
  At iterate     8  f =       318.22  |proj g|=    7.1173e-08
  
  iterations 8
  function evaluations 28
  segments explored during Cauchy searches 10
  BFGS updates skipped 1
  active bounds at final generalized Cauchy point 2
  norm of the final projected gradient 7.11727e-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) :  -461.9435 
  
  N = 3, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       461.94  |proj g|=       3.0626
  At iterate     1  f =       328.83  |proj g|=       0.36708
  At iterate     2  f =       318.76  |proj g|=       0.17717
  At iterate     3  f =       318.34  |proj g|=       0.10863
  At iterate     4  f =       318.23  |proj g|=      0.030801
  At iterate     5  f =       318.22  |proj g|=     0.0040411
  At iterate     6  f =       318.22  |proj g|=    0.00018003
  At iterate     7  f =       318.22  |proj g|=    9.9615e-07
  
  iterations 7
  function evaluations 17
  segments explored during Cauchy searches 9
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 2
  norm of the final projected gradient 9.96149e-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 : 9.547469e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.853984 
    - variance bounds :  0.09547469 9.738586 
    - best initial criterion value(s) :  -89647.46 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=        89647  |proj g|=       8.4444
  At iterate     1  f =       105.25  |proj g|=        2.3205
  At iterate     2  f =        69.36  |proj g|=       0.91715
  At iterate     3  f =       69.285  |proj g|=       0.19347
  Nonpositive definiteness in Cholesky factorization in formk;
     refresh the lbfgs memory and restart the iteration.
  At iterate     4  f =       69.284  |proj g|=      0.014945
  At iterate     5  f =       69.284  |proj g|=    0.00022074
  At iterate     6  f =       69.284  |proj g|=    2.4726e-07
  
  iterations 6
  function evaluations 24
  segments explored during Cauchy searches 11
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 2.47263e-07
  final function value 69.2841
  
  F = 69.2841
  final  value 69.284134 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 9.547469e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.853984 
    - variance bounds :  0.09547469 9.738586 
    - best initial criterion value(s) :  -89647.46 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=        89647  |proj g|=       8.4444
  At iterate     1  f =       105.25  |proj g|=        2.3205
  At iterate     2  f =        69.36  |proj g|=       0.91715
  At iterate     3  f =       69.285  |proj g|=       0.19347
  Nonpositive definiteness in Cholesky factorization in formk;
     refresh the lbfgs memory and restart the iteration.
  At iterate     4  f =       69.284  |proj g|=      0.014945
  At iterate     5  f =       69.284  |proj g|=    0.00022074
  At iterate     6  f =       69.284  |proj g|=    2.4726e-07
  
  iterations 6
  function evaluations 24
  segments explored during Cauchy searches 11
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 2.47263e-07
  final function value 69.2841
  
  F = 69.2841
  final  value 69.284134 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 9.547469e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.853984 
    - variance bounds :  0.09547469 9.738586 
    - best initial criterion value(s) :  -1482.198 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       1482.2  |proj g|=        8.418
  At iterate     1  f =       105.25  |proj g|=        2.3205
  At iterate     2  f =       71.698  |proj g|=        9.1173
  At iterate     3  f =       69.988  |proj g|=        1.1025
  At iterate     4  f =       69.569  |proj g|=       0.99681
  At iterate     5  f =       69.304  |proj g|=       0.87806
  At iterate     6  f =       69.287  |proj g|=         0.415
  At iterate     7  f =       69.284  |proj g|=      0.032913
  At iterate     8  f =       69.284  |proj g|=    0.00098729
  At iterate     9  f =       69.284  |proj g|=      2.44e-06
  
  iterations 9
  function evaluations 26
  segments explored during Cauchy searches 12
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 2.44002e-06
  final function value 69.2841
  
  F = 69.2841
  final  value 69.284134 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 9.547469e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.853984 
    - variance bounds :  0.09547469 9.738586 
    - best initial criterion value(s) :  -1482.198 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       1482.2  |proj g|=        8.418
  At iterate     1  f =       105.25  |proj g|=        2.3205
  At iterate     2  f =       71.698  |proj g|=        9.1173
  At iterate     3  f =       69.988  |proj g|=        1.1025
  At iterate     4  f =       69.569  |proj g|=       0.99681
  At iterate     5  f =       69.304  |proj g|=       0.87806
  At iterate     6  f =       69.287  |proj g|=         0.415
  At iterate     7  f =       69.284  |proj g|=      0.032913
  At iterate     8  f =       69.284  |proj g|=    0.00098729
  At iterate     9  f =       69.284  |proj g|=      2.44e-06
  
  iterations 9
  function evaluations 26
  segments explored during Cauchy searches 12
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 2.44002e-06
  final function value 69.2841
  
  F = 69.2841
  final  value 69.284134 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 9.547469e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.853984 
    - variance bounds :  0.09547469 9.738586 
    - best initial criterion value(s) :  -3755.404 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       3755.4  |proj g|=       8.8913
  At iterate     1  f =       105.25  |proj g|=        2.3205
  At iterate     2  f =       71.343  |proj g|=        1.3504
  ys=-3.136e+01  -gs= 1.924e+01, BFGS update SKIPPED
  At iterate     3  f =       70.512  |proj g|=        1.2069
  At iterate     4  f =       69.288  |proj g|=       0.44562
  At iterate     5  f =       69.284  |proj g|=      0.015117
  At iterate     6  f =       69.284  |proj g|=    0.00052706
  At iterate     7  f =       69.284  |proj g|=    5.9719e-07
  
  iterations 7
  function evaluations 28
  segments explored during Cauchy searches 10
  BFGS updates skipped 1
  active bounds at final generalized Cauchy point 2
  norm of the final projected gradient 5.97188e-07
  final function value 69.2841
  
  F = 69.2841
  final  value 69.284134 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 9.547469e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.853984 
    - variance bounds :  0.09547469 9.738586 
    - best initial criterion value(s) :  -535.14 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       535.14  |proj g|=       9.1698
  At iterate     1  f =       105.25  |proj g|=        2.3205
  At iterate     2  f =       70.831  |proj g|=        1.2641
  ys=-2.860e+01  -gs= 1.944e+01, BFGS update SKIPPED
  At iterate     3  f =       70.038  |proj g|=        1.1131
  At iterate     4  f =       69.308  |proj g|=        0.8823
  At iterate     5  f =       69.297  |proj g|=       0.88526
  At iterate     6  f =       69.284  |proj g|=      0.074826
  At iterate     7  f =       69.284  |proj g|=     0.0046126
  At iterate     8  f =       69.284  |proj g|=    2.6028e-05
  At iterate     9  f =       69.284  |proj g|=    8.9906e-09
  
  iterations 9
  function evaluations 29
  segments explored during Cauchy searches 12
  BFGS updates skipped 1
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 8.99059e-09
  final function value 69.2841
  
  F = 69.2841
  final  value 69.284134 
  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) :  -314.1492 
  
  N = 3, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       314.15  |proj g|=         10.9
  At iterate     1  f =       290.94  |proj g|=        2.2867
  At iterate     2  f =       278.23  |proj g|=        1.8531
  At iterate     3  f =       270.65  |proj g|=        2.2765
  At iterate     4  f =       268.95  |proj g|=        1.8376
  At iterate     5  f =       267.78  |proj g|=         1.831
  At iterate     6  f =        267.3  |proj g|=        1.8259
  At iterate     7  f =       264.85  |proj g|=        5.0656
  At iterate     8  f =       257.45  |proj g|=        10.749
  At iterate     9  f =       253.22  |proj g|=        1.9704
  At iterate    10  f =        252.5  |proj g|=         1.786
  At iterate    11  f =       252.42  |proj g|=         1.689
  At iterate    12  f =       252.42  |proj g|=       0.71457
  At iterate    13  f =       252.42  |proj g|=       0.20507
  At iterate    14  f =       252.42  |proj g|=       0.31272
  At iterate    15  f =       252.41  |proj g|=       0.79556
  At iterate    16  f =       252.39  |proj g|=        1.5472
  At iterate    17  f =       252.34  |proj g|=        1.8184
  At iterate    18  f =       252.23  |proj g|=        1.8382
  At iterate    19  f =       251.91  |proj g|=        1.8716
  At iterate    20  f =       251.15  |proj g|=        1.9151
  At iterate    21  f =       249.93  |proj g|=        1.9011
  At iterate    22  f =       248.12  |proj g|=        1.8431
  At iterate    23  f =        244.4  |proj g|=        1.7401
  At iterate    24  f =       243.55  |proj g|=        1.4429
  At iterate    25  f =       243.27  |proj g|=       0.62397
  At iterate    26  f =       243.27  |proj g|=        1.7291
  At iterate    27  f =       243.26  |proj g|=       0.11138
  At iterate    28  f =       243.26  |proj g|=     0.0035866
  At iterate    29  f =       243.26  |proj g|=      0.003053
  
  iterations 29
  function evaluations 40
  segments explored during Cauchy searches 30
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 0
  norm of the final projected gradient 0.00305298
  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) :  -274.9953 
  
  N = 3, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=          275  |proj g|=       43.875
  At iterate     1  f =       258.22  |proj g|=         1.012
  At iterate     2  f =       249.87  |proj g|=        19.518
  At iterate     3  f =       247.56  |proj g|=        11.644
  At iterate     4  f =       246.73  |proj g|=        1.7187
  At iterate     5  f =        246.5  |proj g|=        1.4664
  At iterate     6  f =       246.43  |proj g|=        1.7083
  At iterate     7  f =       246.43  |proj g|=       0.24001
  At iterate     8  f =       246.43  |proj g|=       0.24002
  At iterate     9  f =       246.43  |proj g|=       0.24006
  At iterate    10  f =       246.43  |proj g|=       0.24021
  At iterate    11  f =       246.42  |proj g|=       0.24031
  At iterate    12  f =       246.42  |proj g|=       0.32266
  At iterate    13  f =       246.41  |proj g|=       0.52881
  At iterate    14  f =        246.4  |proj g|=        1.2593
  At iterate    15  f =       246.39  |proj g|=        0.8464
  At iterate    16  f =       246.35  |proj g|=         1.599
  At iterate    17  f =          246  |proj g|=        3.6022
  At iterate    18  f =        244.4  |proj g|=        8.2332
  At iterate    19  f =       243.59  |proj g|=        5.0685
  At iterate    20  f =       243.39  |proj g|=        1.7308
  At iterate    21  f =       243.31  |proj g|=        1.4098
  At iterate    22  f =       243.27  |proj g|=        1.3786
  At iterate    23  f =       243.26  |proj g|=       0.15265
  At iterate    24  f =       243.26  |proj g|=     0.0064025
  At iterate    25  f =       243.26  |proj g|=    0.00080787
  
  iterations 25
  function evaluations 33
  segments explored during Cauchy searches 27
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 0
  norm of the final projected gradient 0.000807869
  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/th798/16179532/R-devel/844/mlr3learners.Rcheck/00check.log'
for details.

[1] "2025-03-29 01:20:38 MST"
> system(paste(c("diff -u", Rcheck.list), collapse=" "))
--- R_Under_development_unstable_2025-03-28_r88067/release_1.17.0.Rcheck/00check.log	2025-03-29 01:11:21.918277491 -0700
+++ R_Under_development_unstable_2025-03-28_r88067/master_1.17.99.2cb03162a21328cc5f68a8c3b0e554f5edfcb5b9.Rcheck/00check.log	2025-03-29 01:20:38.107315040 -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 26.812  0.127  27.259
+mlr_learners_classif.cv_glmnet 27.009  0.124  27.527
 * checking for unstated dependencies in 'tests' ... OK
 * checking tests ... ERROR
   Running 'testthat.R'
@@ -63,143 +63,143 @@
   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 20.391705 
+  final  value 20.694248 
   converged
   # weights:  3 (2 variable)
   initial  value 20.794415 
-  final  value 20.391705 
+  final  value 20.694248 
   converged
   # weights:  3 (2 variable)
   initial  value 20.794415 
-  final  value 20.788509 
+  final  value 20.559671 
   converged
   # weights:  3 (2 variable)
   initial  value 20.794415 
-  final  value 20.788509 
+  final  value 20.559671 
   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 20.727699 
+  final  value 20.190350 
   converged
   # weights:  6 (5 variable)
   initial  value 20.794415 
-  final  value 19.688664 
+  final  value 19.627975 
   converged
   # weights:  6 (5 variable)
   initial  value 20.794415 
-  final  value 19.688664 
+  final  value 19.627975 
   converged
   # weights:  6 (5 variable)
   initial  value 20.794415 
-  final  value 19.688664 
+  final  value 19.627975 
   converged
   # weights:  6 (5 variable)
   initial  value 20.794415 
-  final  value 19.688664 
+  final  value 19.627975 
   converged
   # weights:  6 (5 variable)
-  initial  value 9.939849 
-  iter  10 value 6.899320
-  final  value 6.898627 
+  initial  value 9.679545 
+  iter  10 value 9.135445
+  final  value 9.135444 
   converged
   # weights:  6 (5 variable)
-  initial  value 9.939849 
-  iter  10 value 6.899320
-  final  value 6.898627 
+  initial  value 9.679545 
+  iter  10 value 9.135445
+  final  value 9.135444 
   converged
   # weights:  6 (5 variable)
   initial  value 20.794415 
-  final  value 19.688664 
+  final  value 19.627975 
   converged
   # weights:  6 (5 variable)
   initial  value 20.794415 
-  final  value 19.688664 
+  final  value 19.627975 
   converged
   # weights:  9 (4 variable)
   initial  value 32.958369 
-  final  value 32.958369 
+  final  value 32.555658 
   converged
   # weights:  9 (4 variable)
   initial  value 32.958369 
-  final  value 32.958369 
+  final  value 32.555658 
   converged
   # weights:  9 (4 variable)
   initial  value 32.958369 
-  final  value 31.884179 
+  final  value 30.423450 
   converged
   # weights:  9 (4 variable)
   initial  value 32.958369 
-  final  value 31.884179 
+  final  value 30.423450 
   converged
   # weights:  9 (4 variable)
   initial  value 32.958369 
-  final  value 32.859948 
+  final  value 29.682602 
   converged
   # weights:  9 (4 variable)
   initial  value 32.958369 
-  final  value 32.859948 
+  final  value 29.682602 
   converged
   # weights:  9 (4 variable)
   initial  value 32.958369 
-  final  value 31.312711 
+  final  value 32.555658 
   converged
   # weights:  9 (4 variable)
   initial  value 32.958369 
-  final  value 31.312711 
+  final  value 32.555658 
   converged
   # weights:  18 (10 variable)
   initial  value 32.958369 
-  iter  10 value 29.651988
-  final  value 29.651736 
+  iter  10 value 28.758948
+  final  value 28.736558 
   converged
   # weights:  18 (10 variable)
   initial  value 32.958369 
-  iter  10 value 29.651988
-  final  value 29.651736 
+  iter  10 value 28.758948
+  final  value 28.736558 
   converged
   # weights:  18 (10 variable)
   initial  value 32.958369 
-  iter  10 value 29.651988
-  final  value 29.651736 
+  iter  10 value 28.758948
+  final  value 28.736558 
   converged
   # weights:  18 (10 variable)
   initial  value 32.958369 
-  iter  10 value 29.651988
-  final  value 29.651736 
+  iter  10 value 28.758948
+  final  value 28.736558 
   converged
   # weights:  18 (10 variable)
-  initial  value 16.414324 
-  iter  10 value 14.005040
-  iter  20 value 13.963223
-  final  value 13.963210 
+  initial  value 14.149724 
+  iter  10 value 13.168164
+  iter  20 value 13.149875
+  final  value 13.149869 
   converged
   # weights:  18 (10 variable)
-  initial  value 16.414324 
-  iter  10 value 14.005040
-  iter  20 value 13.963223
-  final  value 13.963210 
+  initial  value 14.149724 
+  iter  10 value 13.168164
+  iter  20 value 13.149875
+  final  value 13.149869 
   converged
   # weights:  18 (10 variable)
   initial  value 32.958369 
-  iter  10 value 29.651988
-  final  value 29.651736 
+  iter  10 value 28.758948
+  final  value 28.736558 
   converged
   # weights:  18 (10 variable)
   initial  value 32.958369 
-  iter  10 value 29.651988
-  final  value 29.651736 
+  iter  10 value 28.758948
+  final  value 28.736558 
   converged
   # weights:  4 (3 variable)
   initial  value 138.629436 
@@ -308,35 +308,35 @@
   * trend model : ~1
   * covariance model : 
     - type :  matern5_2 
-    - nugget : 9.55657e-09 
+    - nugget : 8.00154e-09 
     - parameters lower bounds :  1e-10 1e-10 1e-10 
-    - parameters upper bounds :  4 2 1.965423 
-    - variance bounds :  0.08997199 9.55657 
-    - best initial criterion value(s) :  -121.9777 
+    - parameters upper bounds :  4 2 1.983064 
+    - variance bounds :  0.07613345 8.00154 
+    - best initial criterion value(s) :  -2055.919 
   
   N = 4, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=       121.98  |proj g|=       8.5971
-  At iterate     1  f =       104.83  |proj g|=        2.3596
-  At iterate     2  f =        69.61  |proj g|=        1.0086
-  ys=-8.431e+00  -gs= 1.996e+01, BFGS update SKIPPED
-  At iterate     3  f =       69.523  |proj g|=       0.98098
-  At iterate     4  f =       69.355  |proj g|=        1.7781
-  At iterate     5  f =       69.312  |proj g|=       0.45117
-  At iterate     6  f =       69.308  |proj g|=      0.053688
-  At iterate     7  f =       69.308  |proj g|=     0.0019053
-  At iterate     8  f =       69.308  |proj g|=    7.7013e-06
+  At iterate     0  f=       2055.9  |proj g|=       7.5837
+  At iterate     1  f =       100.39  |proj g|=        2.8182
+  At iterate     2  f =       66.802  |proj g|=        1.1184
+  ys=-2.976e+01  -gs= 1.918e+01, BFGS update SKIPPED
+  At iterate     3  f =       66.032  |proj g|=        1.0053
+  At iterate     4  f =       64.883  |proj g|=       0.73585
+  At iterate     5  f =       64.868  |proj g|=      0.074192
+  At iterate     6  f =       64.868  |proj g|=      0.005393
+  At iterate     7  f =       64.868  |proj g|=    2.5236e-05
+  At iterate     8  f =       64.868  |proj g|=    8.5343e-09
   
   iterations 8
-  function evaluations 26
+  function evaluations 25
   segments explored during Cauchy searches 11
   BFGS updates skipped 1
-  active bounds at final generalized Cauchy point 2
-  norm of the final projected gradient 7.70131e-06
-  final function value 69.308
+  active bounds at final generalized Cauchy point 3
+  norm of the final projected gradient 8.5343e-09
+  final function value 64.8681
   
-  F = 69.308
-  final  value 69.307953 
+  F = 64.8681
+  final  value 64.868083 
   converged
   
   optimisation start
@@ -347,35 +347,35 @@
   * trend model : ~1
   * covariance model : 
     - type :  matern5_2 
-    - nugget : 9.55657e-09 
+    - nugget : 8.00154e-09 
     - parameters lower bounds :  1e-10 1e-10 1e-10 
-    - parameters upper bounds :  4 2 1.965423 
-    - variance bounds :  0.08997199 9.55657 
-    - best initial criterion value(s) :  -121.9777 
+    - parameters upper bounds :  4 2 1.983064 
+    - variance bounds :  0.07613345 8.00154 
+    - best initial criterion value(s) :  -2055.919 
   
   N = 4, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=       121.98  |proj g|=       8.5971
-  At iterate     1  f =       104.83  |proj g|=        2.3596
-  At iterate     2  f =        69.61  |proj g|=        1.0086
-  ys=-8.431e+00  -gs= 1.996e+01, BFGS update SKIPPED
-  At iterate     3  f =       69.523  |proj g|=       0.98098
-  At iterate     4  f =       69.355  |proj g|=        1.7781
-  At iterate     5  f =       69.312  |proj g|=       0.45117
-  At iterate     6  f =       69.308  |proj g|=      0.053688
-  At iterate     7  f =       69.308  |proj g|=     0.0019053
-  At iterate     8  f =       69.308  |proj g|=    7.7013e-06
+  At iterate     0  f=       2055.9  |proj g|=       7.5837
+  At iterate     1  f =       100.39  |proj g|=        2.8182
+  At iterate     2  f =       66.802  |proj g|=        1.1184
+  ys=-2.976e+01  -gs= 1.918e+01, BFGS update SKIPPED
+  At iterate     3  f =       66.032  |proj g|=        1.0053
+  At iterate     4  f =       64.883  |proj g|=       0.73585
+  At iterate     5  f =       64.868  |proj g|=      0.074192
+  At iterate     6  f =       64.868  |proj g|=      0.005393
+  At iterate     7  f =       64.868  |proj g|=    2.5236e-05
+  At iterate     8  f =       64.868  |proj g|=    8.5343e-09
   
   iterations 8
-  function evaluations 26
+  function evaluations 25
   segments explored during Cauchy searches 11
   BFGS updates skipped 1
-  active bounds at final generalized Cauchy point 2
-  norm of the final projected gradient 7.70131e-06
-  final function value 69.308
+  active bounds at final generalized Cauchy point 3
+  norm of the final projected gradient 8.5343e-09
+  final function value 64.8681
   
-  F = 69.308
-  final  value 69.307953 
+  F = 64.8681
+  final  value 64.868083 
   converged
   
   optimisation start
@@ -386,35 +386,34 @@
   * trend model : ~1
   * covariance model : 
     - type :  matern5_2 
-    - nugget : 9.55657e-09 
+    - nugget : 8.00154e-09 
     - parameters lower bounds :  1e-10 1e-10 1e-10 
-    - parameters upper bounds :  4 2 1.965423 
-    - variance bounds :  0.08997199 9.55657 
-    - best initial criterion value(s) :  -6008993 
+    - parameters upper bounds :  4 2 1.983064 
+    - variance bounds :  0.07613345 8.00154 
+    - best initial criterion value(s) :  -1140.903 
   
   N = 4, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=    6.009e+06  |proj g|=       8.2929
-  At iterate     1  f =       104.83  |proj g|=        2.3596
-  At iterate     2  f =       70.025  |proj g|=         1.112
-  ys=-1.866e+01  -gs= 1.971e+01, BFGS update SKIPPED
-  At iterate     3  f =       69.508  |proj g|=       0.97575
-  At iterate     4  f =       69.317  |proj g|=       0.69135
-  At iterate     5  f =       69.309  |proj g|=       0.22236
-  At iterate     6  f =       69.308  |proj g|=      0.012059
-  At iterate     7  f =       69.308  |proj g|=    0.00019704
-  At iterate     8  f =       69.308  |proj g|=    1.7823e-07
+  At iterate     0  f=       1140.9  |proj g|=       7.3726
+  At iterate     1  f =       100.39  |proj g|=        2.8182
+  At iterate     2  f =       67.201  |proj g|=        1.1728
+  ys=-3.127e+01  -gs= 1.903e+01, BFGS update SKIPPED
+  At iterate     3  f =       64.895  |proj g|=       0.74572
+  At iterate     4  f =       64.868  |proj g|=      0.053727
+  At iterate     5  f =       64.868  |proj g|=     0.0053153
+  At iterate     6  f =       64.868  |proj g|=    1.7983e-05
+  At iterate     7  f =       64.868  |proj g|=    5.9938e-09
   
-  iterations 8
-  function evaluations 36
-  segments explored during Cauchy searches 11
+  iterations 7
+  function evaluations 28
+  segments explored during Cauchy searches 10
   BFGS updates skipped 1
   active bounds at final generalized Cauchy point 3
-  norm of the final projected gradient 1.78226e-07
-  final function value 69.308
+  norm of the final projected gradient 5.99378e-09
+  final function value 64.8681
   
-  F = 69.308
-  final  value 69.307953 
+  F = 64.8681
+  final  value 64.868083 
   converged
   
   optimisation start
@@ -425,35 +424,34 @@
   * trend model : ~1
   * covariance model : 
     - type :  matern5_2 
-    - nugget : 9.55657e-09 
+    - nugget : 8.00154e-09 
     - parameters lower bounds :  1e-10 1e-10 1e-10 
-    - parameters upper bounds :  4 2 1.965423 
-    - variance bounds :  0.08997199 9.55657 
-    - best initial criterion value(s) :  -6008993 
+    - parameters upper bounds :  4 2 1.983064 
+    - variance bounds :  0.07613345 8.00154 
+    - best initial criterion value(s) :  -1140.903 
   
   N = 4, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=    6.009e+06  |proj g|=       8.2929
-  At iterate     1  f =       104.83  |proj g|=        2.3596
-  At iterate     2  f =       70.025  |proj g|=         1.112
-  ys=-1.866e+01  -gs= 1.971e+01, BFGS update SKIPPED
-  At iterate     3  f =       69.508  |proj g|=       0.97575
-  At iterate     4  f =       69.317  |proj g|=       0.69135
-  At iterate     5  f =       69.309  |proj g|=       0.22236
-  At iterate     6  f =       69.308  |proj g|=      0.012059
-  At iterate     7  f =       69.308  |proj g|=    0.00019704
-  At iterate     8  f =       69.308  |proj g|=    1.7823e-07
+  At iterate     0  f=       1140.9  |proj g|=       7.3726
+  At iterate     1  f =       100.39  |proj g|=        2.8182
+  At iterate     2  f =       67.201  |proj g|=        1.1728
+  ys=-3.127e+01  -gs= 1.903e+01, BFGS update SKIPPED
+  At iterate     3  f =       64.895  |proj g|=       0.74572
+  At iterate     4  f =       64.868  |proj g|=      0.053727
+  At iterate     5  f =       64.868  |proj g|=     0.0053153
+  At iterate     6  f =       64.868  |proj g|=    1.7983e-05
+  At iterate     7  f =       64.868  |proj g|=    5.9938e-09
   
-  iterations 8
-  function evaluations 36
-  segments explored during Cauchy searches 11
+  iterations 7
+  function evaluations 28
+  segments explored during Cauchy searches 10
   BFGS updates skipped 1
   active bounds at final generalized Cauchy point 3
-  norm of the final projected gradient 1.78226e-07
-  final function value 69.308
+  norm of the final projected gradient 5.99378e-09
+  final function value 64.8681
   
-  F = 69.308
-  final  value 69.307953 
+  F = 64.8681
+  final  value 64.868083 
   converged
   
   optimisation start
@@ -464,32 +462,34 @@
   * trend model : ~1
   * covariance model : 
     - type :  matern5_2 
-    - nugget : 9.55657e-09 
+    - nugget : 8.00154e-09 
     - parameters lower bounds :  1e-10 1e-10 1e-10 
-    - parameters upper bounds :  4 2 1.965423 
-    - variance bounds :  0.08997199 9.55657 
-    - best initial criterion value(s) :  -204.5399 
+    - parameters upper bounds :  4 2 1.983064 
+    - variance bounds :  0.07613345 8.00154 
+    - best initial criterion value(s) :  -277.2577 
   
   N = 4, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=       204.54  |proj g|=       8.7035
-  At iterate     1  f =       104.83  |proj g|=        2.3596
-  At iterate     2  f =        69.44  |proj g|=        3.1439
-  At iterate     3  f =       69.309  |proj g|=        0.2868
-  At iterate     4  f =       69.308  |proj g|=      0.053723
-  At iterate     5  f =       69.308  |proj g|=     0.0011925
-  At iterate     6  f =       69.308  |proj g|=    4.8237e-06
+  At iterate     0  f=       277.26  |proj g|=        7.469
+  At iterate     1  f =       100.39  |proj g|=        2.8182
+  At iterate     2  f =       67.301  |proj g|=        1.1862
+  ys=-3.157e+01  -gs= 1.899e+01, BFGS update SKIPPED
+  At iterate     3  f =       64.932  |proj g|=       0.76707
+  At iterate     4  f =       64.868  |proj g|=       0.13875
+  At iterate     5  f =       64.868  |proj g|=      0.021959
+  At iterate     6  f =       64.868  |proj g|=     0.0001929
+  At iterate     7  f =       64.868  |proj g|=    2.6527e-07
   
-  iterations 6
-  function evaluations 21
-  segments explored during Cauchy searches 9
-  BFGS updates skipped 0
-  active bounds at final generalized Cauchy point 2
-  norm of the final projected gradient 4.82374e-06
-  final function value 69.308
+  iterations 7
+  function evaluations 24
+  segments explored during Cauchy searches 10
+  BFGS updates skipped 1
+  active bounds at final generalized Cauchy point 3
+  norm of the final projected gradient 2.65272e-07
+  final function value 64.8681
   
-  F = 69.308
-  final  value 69.307953 
+  F = 64.8681
+  final  value 64.868083 
   converged
   
   optimisation start
@@ -500,35 +500,36 @@
   * trend model : ~1
   * covariance model : 
     - type :  matern5_2 
-    - nugget : 9.55657e-09 
+    - nugget : 8.00154e-09 
     - parameters lower bounds :  1e-10 1e-10 1e-10 
-    - parameters upper bounds :  4 2 1.965423 
-    - variance bounds :  0.08997199 9.55657 
-    - best initial criterion value(s) :  -42063.18 
+    - parameters upper bounds :  4 2 1.983064 
+    - variance bounds :  0.07613345 8.00154 
+    - best initial criterion value(s) :  -27727.71 
   
   N = 4, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=        42063  |proj g|=       8.4469
-  At iterate     1  f =       104.83  |proj g|=        2.3596
-  At iterate     2  f =       71.022  |proj g|=        1.2997
-  ys=-2.864e+01  -gs= 1.927e+01, BFGS update SKIPPED
-  At iterate     3  f =        70.26  |proj g|=        1.1608
-  At iterate     4  f =       69.338  |proj g|=        0.8944
-  At iterate     5  f =       69.308  |proj g|=       0.11278
-  At iterate     6  f =       69.308  |proj g|=      0.011954
-  At iterate     7  f =       69.308  |proj g|=    0.00010198
-  At iterate     8  f =       69.308  |proj g|=     9.123e-08
+  At iterate     0  f=        27728  |proj g|=       7.4024
+  At iterate     1  f =       100.39  |proj g|=        2.8182
+  At iterate     2  f =       66.457  |proj g|=        1.0694
+  ys=-2.788e+01  -gs= 1.932e+01, BFGS update SKIPPED
+  At iterate     3  f =       65.706  |proj g|=       0.95169
+  At iterate     4  f =       64.897  |proj g|=       0.74675
+  At iterate     5  f =       64.886  |proj g|=        1.2642
+  At iterate     6  f =       64.868  |proj g|=       0.11553
+  At iterate     7  f =       64.868  |proj g|=     0.0084149
+  At iterate     8  f =       64.868  |proj g|=    6.1585e-05
+  At iterate     9  f =       64.868  |proj g|=    3.2531e-08
   
-  iterations 8
-  function evaluations 33
-  segments explored during Cauchy searches 11
+  iterations 9
+  function evaluations 31
+  segments explored during Cauchy searches 12
   BFGS updates skipped 1
   active bounds at final generalized Cauchy point 3
-  norm of the final projected gradient 9.12303e-08
-  final function value 69.308
+  norm of the final projected gradient 3.25307e-08
+  final function value 64.8681
   
-  F = 69.308
-  final  value 69.307953 
+  F = 64.8681
+  final  value 64.868083 
   converged
   
   optimisation start
@@ -543,25 +544,26 @@
     - 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) :  -533.5869 
+    - best initial criterion value(s) :  -998.4239 
   
   N = 3, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=       533.59  |proj g|=        11.96
-  At iterate     1  f =       318.89  |proj g|=       0.19253
-  At iterate     2  f =       318.53  |proj g|=       0.14126
-  At iterate     3  f =       318.29  |proj g|=      0.085313
-  At iterate     4  f =       318.23  |proj g|=      0.018529
-  At iterate     5  f =       318.22  |proj g|=     0.0019369
-  At iterate     6  f =       318.22  |proj g|=    5.0583e-05
-  At iterate     7  f =       318.22  |proj g|=     1.337e-07
+  At iterate     0  f=       998.42  |proj g|=       23.214
+  At iterate     1  f =       324.58  |proj g|=       0.35893
+  At iterate     2  f =       320.98  |proj g|=       0.30669
+  At iterate     3  f =       318.22  |proj g|=     0.0055456
+  Nonpositive definiteness in Cholesky factorization in formk;
+     refresh the lbfgs memory and restart the iteration.
+  At iterate     4  f =       318.22  |proj g|=     0.0043307
+  At iterate     5  f =       318.22  |proj g|=    3.2129e-05
+  At iterate     6  f =       318.22  |proj g|=    1.8787e-07
   
-  iterations 7
-  function evaluations 17
-  segments explored during Cauchy searches 9
+  iterations 6
+  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 1.33699e-07
+  norm of the final projected gradient 1.87873e-07
   final function value 318.222
   
   F = 318.222
@@ -580,31 +582,41 @@
     - 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) :  -2204.807 
+    - best initial criterion value(s) :  -281.0675 
   
   N = 3, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=       2204.8  |proj g|=       84.209
-  At iterate     1  f =       342.05  |proj g|=       0.31567
-  At iterate     2  f =       318.57  |proj g|=       0.14822
-  At iterate     3  f =       318.22  |proj g|=      0.014944
-  Nonpositive definiteness in Cholesky factorization in formk;
-     refresh the lbfgs memory and restart the iteration.
-  At iterate     4  f =       318.22  |proj g|=      0.011831
-  At iterate     5  f =       318.22  |proj g|=    0.00025196
-  At iterate     6  f =       318.22  |proj g|=    4.1363e-06
-  At iterate     7  f =       318.22  |proj g|=     1.417e-09
+  At iterate     0  f=       281.07  |proj g|=       40.974
+  At iterate     1  f =       252.38  |proj g|=        3.2193
+  At iterate     2  f =       252.25  |proj g|=        1.2445
+  At iterate     3  f =       252.23  |proj g|=       0.20702
+  At iterate     4  f =       252.23  |proj g|=        1.3568
+  At iterate     5  f =        252.2  |proj g|=        1.6904
+  At iterate     6  f =       252.13  |proj g|=        1.6936
+  At iterate     7  f =       251.95  |proj g|=        2.2462
+  At iterate     8  f =       251.45  |proj g|=        4.0203
+  At iterate     9  f =       249.77  |proj g|=        6.6318
+  At iterate    10  f =       247.86  |proj g|=        6.7145
+  At iterate    11  f =       247.04  |proj g|=        4.7228
+  At iterate    12  f =       244.85  |proj g|=        1.7431
+  At iterate    13  f =       244.54  |proj g|=        1.7458
+  At iterate    14  f =       244.25  |proj g|=        1.7469
+  At iterate    15  f =       243.39  |proj g|=        1.7365
+  At iterate    16  f =       243.27  |proj g|=        1.7283
+  At iterate    17  f =       243.26  |proj g|=      0.075453
+  At iterate    18  f =       243.26  |proj g|=     0.0038293
+  At iterate    19  f =       243.26  |proj g|=    0.00025848
   
-  iterations 7
-  function evaluations 21
-  segments explored during Cauchy searches 11
+  iterations 19
+  function evaluations 28
+  segments explored during Cauchy searches 20
   BFGS updates skipped 0
-  active bounds at final generalized Cauchy point 2
-  norm of the final projected gradient 1.41703e-09
-  final function value 318.222
+  active bounds at final generalized Cauchy point 0
+  norm of the final projected gradient 0.00025848
+  final function value 243.264
   
-  F = 318.222
-  final  value 318.221782 
+  F = 243.264
+  final  value 243.264413 
   converged
   
   optimisation start
@@ -619,26 +631,27 @@
     - 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) :  -31606.62 
+    - best initial criterion value(s) :  -24715.2 
   
   N = 3, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=        31607  |proj g|=          543
-  At iterate     1  f =       414.64  |proj g|=      0.078503
-  At iterate     2  f =       318.24  |proj g|=      0.042975
-  At iterate     3  f =       318.22  |proj g|=     0.0033542
-  Nonpositive definiteness in Cholesky factorization in formk;
-     refresh the lbfgs memory and restart the iteration.
-  At iterate     4  f =       318.22  |proj g|=      0.002635
-  At iterate     5  f =       318.22  |proj g|=    1.2146e-05
-  At iterate     6  f =       318.22  |proj g|=    4.3732e-08
+  At iterate     0  f=        24715  |proj g|=       387.54
+  At iterate     1  f =       401.24  |proj g|=        0.1025
+  At iterate     2  f =       322.92  |proj g|=       0.34395
+  ys=-9.580e+01  -gs= 4.067e+01, BFGS update SKIPPED
+  At iterate     3  f =       319.48  |proj g|=       0.24238
+  At iterate     4  f =       318.24  |proj g|=      0.037229
+  At iterate     5  f =       318.23  |proj g|=      0.024581
+  At iterate     6  f =       318.22  |proj g|=     0.0012739
+  At iterate     7  f =       318.22  |proj g|=     4.098e-05
+  At iterate     8  f =       318.22  |proj g|=    7.1173e-08
   
-  iterations 6
-  function evaluations 22
+  iterations 8
+  function evaluations 28
   segments explored during Cauchy searches 10
-  BFGS updates skipped 0
+  BFGS updates skipped 1
   active bounds at final generalized Cauchy point 2
-  norm of the final projected gradient 4.37322e-08
+  norm of the final projected gradient 7.11727e-08
   final function value 318.222
   
   F = 318.222
@@ -657,28 +670,25 @@
     - 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) :  -392.7612 
+    - best initial criterion value(s) :  -461.9435 
   
   N = 3, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=       392.76  |proj g|=       6.0426
-  At iterate     1  f =       324.83  |proj g|=       0.36039
-  At iterate     2  f =        322.9  |proj g|=       0.34375
-  At iterate     3  f =       318.46  |proj g|=       0.12663
-  Nonpositive definiteness in Cholesky factorization in formk;
-     refresh the lbfgs memory and restart the iteration.
-  At iterate     4  f =       318.39  |proj g|=       0.10782
-  At iterate     5  f =       318.23  |proj g|=      0.030852
-  At iterate     6  f =       318.22  |proj g|=     0.0052524
-  At iterate     7  f =       318.22  |proj g|=    0.00021132
-  At iterate     8  f =       318.22  |proj g|=     1.524e-06
+  At iterate     0  f=       461.94  |proj g|=       3.0626
+  At iterate     1  f =       328.83  |proj g|=       0.36708
+  At iterate     2  f =       318.76  |proj g|=       0.17717
+  At iterate     3  f =       318.34  |proj g|=       0.10863
+  At iterate     4  f =       318.23  |proj g|=      0.030801
+  At iterate     5  f =       318.22  |proj g|=     0.0040411
+  At iterate     6  f =       318.22  |proj g|=    0.00018003
+  At iterate     7  f =       318.22  |proj g|=    9.9615e-07
   
-  iterations 8
-  function evaluations 15
-  segments explored during Cauchy searches 11
+  iterations 7
+  function evaluations 17
+  segments explored during Cauchy searches 9
   BFGS updates skipped 0
   active bounds at final generalized Cauchy point 2
-  norm of the final projected gradient 1.52399e-06
+  norm of the final projected gradient 9.96149e-07
   final function value 318.222
   
   F = 318.222
@@ -693,32 +703,34 @@
   * trend model : ~1
   * covariance model : 
     - type :  matern5_2 
-    - nugget : 1.013566e-08 
+    - nugget : 9.547469e-09 
     - parameters lower bounds :  1e-10 1e-10 1e-10 
-    - parameters upper bounds :  4 2 1.962593 
-    - variance bounds :  0.1013566 10.46896 
-    - best initial criterion value(s) :  -399428 
+    - parameters upper bounds :  4 2 1.853984 
+    - variance bounds :  0.09547469 9.738586 
+    - best initial criterion value(s) :  -89647.46 
   
   N = 4, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=   3.9943e+05  |proj g|=       9.4698
-  At iterate     1  f =       107.03  |proj g|=        2.1614
-  At iterate     2  f =       70.802  |proj g|=       0.93605
-  At iterate     3  f =       70.779  |proj g|=      0.090878
-  At iterate     4  f =       70.779  |proj g|=      0.008333
-  At iterate     5  f =       70.779  |proj g|=    6.0675e-05
-  At iterate     6  f =       70.779  |proj g|=    4.0144e-08
+  At iterate     0  f=        89647  |proj g|=       8.4444
+  At iterate     1  f =       105.25  |proj g|=        2.3205
+  At iterate     2  f =        69.36  |proj g|=       0.91715
+  At iterate     3  f =       69.285  |proj g|=       0.19347
+  Nonpositive definiteness in Cholesky factorization in formk;
+     refresh the lbfgs memory and restart the iteration.
+  At iterate     4  f =       69.284  |proj g|=      0.014945
+  At iterate     5  f =       69.284  |proj g|=    0.00022074
+  At iterate     6  f =       69.284  |proj g|=    2.4726e-07
   
   iterations 6
-  function evaluations 21
-  segments explored during Cauchy searches 10
+  function evaluations 24
+  segments explored during Cauchy searches 11
   BFGS updates skipped 0
-  active bounds at final generalized Cauchy point 2
-  norm of the final projected gradient 4.01439e-08
-  final function value 70.7787
+  active bounds at final generalized Cauchy point 3
+  norm of the final projected gradient 2.47263e-07
+  final function value 69.2841
   
-  F = 70.7787
-  final  value 70.778733 
+  F = 69.2841
+  final  value 69.284134 
   converged
   
   optimisation start
@@ -729,32 +741,34 @@
   * trend model : ~1
   * covariance model : 
     - type :  matern5_2 
-    - nugget : 1.013566e-08 
+    - nugget : 9.547469e-09 
     - parameters lower bounds :  1e-10 1e-10 1e-10 
-    - parameters upper bounds :  4 2 1.962593 
-    - variance bounds :  0.1013566 10.46896 
-    - best initial criterion value(s) :  -399428 
+    - parameters upper bounds :  4 2 1.853984 
+    - variance bounds :  0.09547469 9.738586 
+    - best initial criterion value(s) :  -89647.46 
   
   N = 4, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=   3.9943e+05  |proj g|=       9.4698
-  At iterate     1  f =       107.03  |proj g|=        2.1614
-  At iterate     2  f =       70.802  |proj g|=       0.93605
-  At iterate     3  f =       70.779  |proj g|=      0.090878
-  At iterate     4  f =       70.779  |proj g|=      0.008333
-  At iterate     5  f =       70.779  |proj g|=    6.0675e-05
-  At iterate     6  f =       70.779  |proj g|=    4.0144e-08
+  At iterate     0  f=        89647  |proj g|=       8.4444
+  At iterate     1  f =       105.25  |proj g|=        2.3205
+  At iterate     2  f =        69.36  |proj g|=       0.91715
+  At iterate     3  f =       69.285  |proj g|=       0.19347
+  Nonpositive definiteness in Cholesky factorization in formk;
+     refresh the lbfgs memory and restart the iteration.
+  At iterate     4  f =       69.284  |proj g|=      0.014945
+  At iterate     5  f =       69.284  |proj g|=    0.00022074
+  At iterate     6  f =       69.284  |proj g|=    2.4726e-07
   
   iterations 6
-  function evaluations 21
-  segments explored during Cauchy searches 10
+  function evaluations 24
+  segments explored during Cauchy searches 11
   BFGS updates skipped 0
-  active bounds at final generalized Cauchy point 2
-  norm of the final projected gradient 4.01439e-08
-  final function value 70.7787
+  active bounds at final generalized Cauchy point 3
+  norm of the final projected gradient 2.47263e-07
+  final function value 69.2841
   
-  F = 70.7787
-  final  value 70.778733 
+  F = 69.2841
+  final  value 69.284134 
   converged
   
   optimisation start
@@ -765,35 +779,35 @@
   * trend model : ~1
   * covariance model : 
     - type :  matern5_2 
-    - nugget : 1.013566e-08 
+    - nugget : 9.547469e-09 
     - parameters lower bounds :  1e-10 1e-10 1e-10 
-    - parameters upper bounds :  4 2 1.962593 
-    - variance bounds :  0.1013566 10.46896 
-    - best initial criterion value(s) :  -150810.5 
+    - parameters upper bounds :  4 2 1.853984 
+    - variance bounds :  0.09547469 9.738586 
+    - best initial criterion value(s) :  -1482.198 
   
   N = 4, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=   1.5081e+05  |proj g|=       9.6609
-  At iterate     1  f =       107.03  |proj g|=        2.1614
-  At iterate     2  f =        73.18  |proj g|=        9.8088
-  At iterate     3  f =       71.511  |proj g|=        1.1769
-  At iterate     4  f =       71.075  |proj g|=        1.0621
-  At iterate     5  f =       70.801  |proj g|=       0.93517
-  At iterate     6  f =       70.782  |proj g|=       0.43293
-  At iterate     7  f =       70.779  |proj g|=      0.036796
-  At iterate     8  f =       70.779  |proj g|=     0.0012182
-  At iterate     9  f =       70.779  |proj g|=    3.5756e-06
+  At iterate     0  f=       1482.2  |proj g|=        8.418
+  At iterate     1  f =       105.25  |proj g|=        2.3205
+  At iterate     2  f =       71.698  |proj g|=        9.1173
+  At iterate     3  f =       69.988  |proj g|=        1.1025
+  At iterate     4  f =       69.569  |proj g|=       0.99681
+  At iterate     5  f =       69.304  |proj g|=       0.87806
+  At iterate     6  f =       69.287  |proj g|=         0.415
+  At iterate     7  f =       69.284  |proj g|=      0.032913
+  At iterate     8  f =       69.284  |proj g|=    0.00098729
+  At iterate     9  f =       69.284  |proj g|=      2.44e-06
   
   iterations 9
-  function evaluations 27
+  function evaluations 26
   segments explored during Cauchy searches 12
   BFGS updates skipped 0
   active bounds at final generalized Cauchy point 3
-  norm of the final projected gradient 3.57562e-06
-  final function value 70.7787
+  norm of the final projected gradient 2.44002e-06
+  final function value 69.2841
   
-  F = 70.7787
-  final  value 70.778733 
+  F = 69.2841
+  final  value 69.284134 
   converged
   
   optimisation start
@@ -804,35 +818,35 @@
   * trend model : ~1
   * covariance model : 
     - type :  matern5_2 
-    - nugget : 1.013566e-08 
+    - nugget : 9.547469e-09 
     - parameters lower bounds :  1e-10 1e-10 1e-10 
-    - parameters upper bounds :  4 2 1.962593 
-    - variance bounds :  0.1013566 10.46896 
-    - best initial criterion value(s) :  -150810.5 
+    - parameters upper bounds :  4 2 1.853984 
+    - variance bounds :  0.09547469 9.738586 
+    - best initial criterion value(s) :  -1482.198 
   
   N = 4, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=   1.5081e+05  |proj g|=       9.6609
-  At iterate     1  f =       107.03  |proj g|=        2.1614
-  At iterate     2  f =        73.18  |proj g|=        9.8088
-  At iterate     3  f =       71.511  |proj g|=        1.1769
-  At iterate     4  f =       71.075  |proj g|=        1.0621
-  At iterate     5  f =       70.801  |proj g|=       0.93517
-  At iterate     6  f =       70.782  |proj g|=       0.43293
-  At iterate     7  f =       70.779  |proj g|=      0.036796
-  At iterate     8  f =       70.779  |proj g|=     0.0012182
-  At iterate     9  f =       70.779  |proj g|=    3.5756e-06
+  At iterate     0  f=       1482.2  |proj g|=        8.418
+  At iterate     1  f =       105.25  |proj g|=        2.3205
+  At iterate     2  f =       71.698  |proj g|=        9.1173
+  At iterate     3  f =       69.988  |proj g|=        1.1025
+  At iterate     4  f =       69.569  |proj g|=       0.99681
+  At iterate     5  f =       69.304  |proj g|=       0.87806
+  At iterate     6  f =       69.287  |proj g|=         0.415
+  At iterate     7  f =       69.284  |proj g|=      0.032913
+  At iterate     8  f =       69.284  |proj g|=    0.00098729
+  At iterate     9  f =       69.284  |proj g|=      2.44e-06
   
   iterations 9
-  function evaluations 27
+  function evaluations 26
   segments explored during Cauchy searches 12
   BFGS updates skipped 0
   active bounds at final generalized Cauchy point 3
-  norm of the final projected gradient 3.57562e-06
-  final function value 70.7787
+  norm of the final projected gradient 2.44002e-06
+  final function value 69.2841
   
-  F = 70.7787
-  final  value 70.778733 
+  F = 69.2841
+  final  value 69.284134 
   converged
   
   optimisation start
@@ -843,35 +857,34 @@
   * trend model : ~1
   * covariance model : 
     - type :  matern5_2 
-    - nugget : 1.013566e-08 
+    - nugget : 9.547469e-09 
     - parameters lower bounds :  1e-10 1e-10 1e-10 
-    - parameters upper bounds :  4 2 1.962593 
-    - variance bounds :  0.1013566 10.46896 
-    - best initial criterion value(s) :  -201.953 
+    - parameters upper bounds :  4 2 1.853984 
+    - variance bounds :  0.09547469 9.738586 
+    - best initial criterion value(s) :  -3755.404 
   
   N = 4, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=       201.95  |proj g|=       9.3253
-  At iterate     1  f =       107.03  |proj g|=        2.1614
-  At iterate     2  f =       71.043  |proj g|=        1.0515
-  ys=-7.826e+00  -gs= 2.014e+01, BFGS update SKIPPED
-  At iterate     3  f =       70.957  |proj g|=        1.0208
-  At iterate     4  f =        70.81  |proj g|=        1.3557
-  At iterate     5  f =       70.781  |proj g|=       0.32061
-  At iterate     6  f =       70.779  |proj g|=      0.031405
-  At iterate     7  f =       70.779  |proj g|=    0.00082917
-  At iterate     8  f =       70.779  |proj g|=    2.0755e-06
+  At iterate     0  f=       3755.4  |proj g|=       8.8913
+  At iterate     1  f =       105.25  |proj g|=        2.3205
+  At iterate     2  f =       71.343  |proj g|=        1.3504
+  ys=-3.136e+01  -gs= 1.924e+01, BFGS update SKIPPED
+  At iterate     3  f =       70.512  |proj g|=        1.2069
+  At iterate     4  f =       69.288  |proj g|=       0.44562
+  At iterate     5  f =       69.284  |proj g|=      0.015117
+  At iterate     6  f =       69.284  |proj g|=    0.00052706
+  At iterate     7  f =       69.284  |proj g|=    5.9719e-07
   
-  iterations 8
-  function evaluations 24
-  segments explored during Cauchy searches 11
+  iterations 7
+  function evaluations 28
+  segments explored during Cauchy searches 10
   BFGS updates skipped 1
   active bounds at final generalized Cauchy point 2
-  norm of the final projected gradient 2.07555e-06
-  final function value 70.7787
+  norm of the final projected gradient 5.97188e-07
+  final function value 69.2841
   
-  F = 70.7787
-  final  value 70.778733 
+  F = 69.2841
+  final  value 69.284134 
   converged
   
   optimisation start
@@ -882,35 +895,36 @@
   * trend model : ~1
   * covariance model : 
     - type :  matern5_2 
-    - nugget : 1.013566e-08 
+    - nugget : 9.547469e-09 
     - parameters lower bounds :  1e-10 1e-10 1e-10 
-    - parameters upper bounds :  4 2 1.962593 
-    - variance bounds :  0.1013566 10.46896 
-    - best initial criterion value(s) :  -46900.32 
+    - parameters upper bounds :  4 2 1.853984 
+    - variance bounds :  0.09547469 9.738586 
+    - best initial criterion value(s) :  -535.14 
   
   N = 4, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=        46900  |proj g|=        9.752
-  At iterate     1  f =       107.03  |proj g|=        2.1614
-  At iterate     2  f =       71.524  |proj g|=        1.1799
-  ys=-2.043e+01  -gs= 1.986e+01, BFGS update SKIPPED
-  At iterate     3  f =       70.954  |proj g|=        1.0193
-  At iterate     4  f =       70.786  |proj g|=        0.5775
-  At iterate     5  f =       70.779  |proj g|=       0.16989
-  At iterate     6  f =       70.779  |proj g|=     0.0081311
-  At iterate     7  f =       70.779  |proj g|=    0.00010804
-  At iterate     8  f =       70.779  |proj g|=    6.9864e-08
+  At iterate     0  f=       535.14  |proj g|=       9.1698
+  At iterate     1  f =       105.25  |proj g|=        2.3205
+  At iterate     2  f =       70.831  |proj g|=        1.2641
+  ys=-2.860e+01  -gs= 1.944e+01, BFGS update SKIPPED
+  At iterate     3  f =       70.038  |proj g|=        1.1131
+  At iterate     4  f =       69.308  |proj g|=        0.8823
+  At iterate     5  f =       69.297  |proj g|=       0.88526
+  At iterate     6  f =       69.284  |proj g|=      0.074826
+  At iterate     7  f =       69.284  |proj g|=     0.0046126
+  At iterate     8  f =       69.284  |proj g|=    2.6028e-05
+  At iterate     9  f =       69.284  |proj g|=    8.9906e-09
   
-  iterations 8
-  function evaluations 28
-  segments explored during Cauchy searches 11
+  iterations 9
+  function evaluations 29
+  segments explored during Cauchy searches 12
   BFGS updates skipped 1
   active bounds at final generalized Cauchy point 3
-  norm of the final projected gradient 6.98639e-08
-  final function value 70.7787
+  norm of the final projected gradient 8.99059e-09
+  final function value 69.2841
   
-  F = 70.7787
-  final  value 70.778733 
+  F = 69.2841
+  final  value 69.284134 
   converged
   
   optimisation start
@@ -925,45 +939,47 @@
     - 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) :  -315.0841 
+    - best initial criterion value(s) :  -314.1492 
   
   N = 3, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=       315.08  |proj g|=       3.9353
-  At iterate     1  f =       263.34  |proj g|=        1.7901
-  At iterate     2  f =       262.96  |proj g|=        1.7868
-  At iterate     3  f =       262.03  |proj g|=        2.6415
-  At iterate     4  f =       252.39  |proj g|=        1.6953
-  At iterate     5  f =       252.31  |proj g|=       0.59939
-  At iterate     6  f =       252.31  |proj g|=       0.31623
-  At iterate     7  f =       252.31  |proj g|=       0.20489
-  At iterate     8  f =        252.3  |proj g|=       0.29205
-  At iterate     9  f =       252.28  |proj g|=       0.62323
-  At iterate    10  f =       252.23  |proj g|=        1.1146
-  At iterate    11  f =        252.1  |proj g|=        1.7498
-  At iterate    12  f =       251.76  |proj g|=        1.7143
-  At iterate    13  f =        250.9  |proj g|=        1.6255
-  At iterate    14  f =       249.54  |proj g|=        1.4505
-  At iterate    15  f =       247.32  |proj g|=        1.4015
-  At iterate    16  f =       243.72  |proj g|=        5.5633
-  At iterate    17  f =       243.55  |proj g|=        5.8594
-  At iterate    18  f =       243.33  |proj g|=        2.6995
-  At iterate    19  f =       243.32  |proj g|=        2.3461
-  At iterate    20  f =        243.3  |proj g|=        1.1694
-  At iterate    21  f =       243.28  |proj g|=       0.22058
-  At iterate    22  f =       243.27  |proj g|=        1.7286
-  At iterate    23  f =       243.26  |proj g|=       0.27293
-  At iterate    24  f =       243.26  |proj g|=        0.1007
-  At iterate    25  f =       243.26  |proj g|=      0.034409
-  At iterate    26  f =       243.26  |proj g|=     0.0024883
-  At iterate    27  f =       243.26  |proj g|=     0.0014614
-  
-  iterations 27
-  function evaluations 34
-  segments explored during Cauchy searches 29
+  At iterate     0  f=       314.15  |proj g|=         10.9
+  At iterate     1  f =       290.94  |proj g|=        2.2867
+  At iterate     2  f =       278.23  |proj g|=        1.8531
+  At iterate     3  f =       270.65  |proj g|=        2.2765
+  At iterate     4  f =       268.95  |proj g|=        1.8376
+  At iterate     5  f =       267.78  |proj g|=         1.831
+  At iterate     6  f =        267.3  |proj g|=        1.8259
+  At iterate     7  f =       264.85  |proj g|=        5.0656
+  At iterate     8  f =       257.45  |proj g|=        10.749
+  At iterate     9  f =       253.22  |proj g|=        1.9704
+  At iterate    10  f =        252.5  |proj g|=         1.786
+  At iterate    11  f =       252.42  |proj g|=         1.689
+  At iterate    12  f =       252.42  |proj g|=       0.71457
+  At iterate    13  f =       252.42  |proj g|=       0.20507
+  At iterate    14  f =       252.42  |proj g|=       0.31272
+  At iterate    15  f =       252.41  |proj g|=       0.79556
+  At iterate    16  f =       252.39  |proj g|=        1.5472
+  At iterate    17  f =       252.34  |proj g|=        1.8184
+  At iterate    18  f =       252.23  |proj g|=        1.8382
+  At iterate    19  f =       251.91  |proj g|=        1.8716
+  At iterate    20  f =       251.15  |proj g|=        1.9151
+  At iterate    21  f =       249.93  |proj g|=        1.9011
+  At iterate    22  f =       248.12  |proj g|=        1.8431
+  At iterate    23  f =        244.4  |proj g|=        1.7401
+  At iterate    24  f =       243.55  |proj g|=        1.4429
+  At iterate    25  f =       243.27  |proj g|=       0.62397
+  At iterate    26  f =       243.27  |proj g|=        1.7291
+  At iterate    27  f =       243.26  |proj g|=       0.11138
+  At iterate    28  f =       243.26  |proj g|=     0.0035866
+  At iterate    29  f =       243.26  |proj g|=      0.003053
+  
+  iterations 29
+  function evaluations 40
+  segments explored during Cauchy searches 30
   BFGS updates skipped 0
   active bounds at final generalized Cauchy point 0
-  norm of the final projected gradient 0.00146141
+  norm of the final projected gradient 0.00305298
   final function value 243.264
   
   F = 243.264
@@ -982,32 +998,47 @@
     - 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) :  -1642.968 
+    - best initial criterion value(s) :  -274.9953 
   
   N = 3, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=         1643  |proj g|=       21.463
-  At iterate     1  f =       335.33  |proj g|=       0.34756
-  At iterate     2  f =       318.97  |proj g|=       0.20068
-  At iterate     3  f =        318.3  |proj g|=      0.074939
-  Nonpositive definiteness in Cholesky factorization in formk;
-     refresh the lbfgs memory and restart the iteration.
-  At iterate     4  f =       318.27  |proj g|=      0.061717
-  At iterate     5  f =       318.22  |proj g|=      0.008195
-  At iterate     6  f =       318.22  |proj g|=    0.00075841
-  At iterate     7  f =       318.22  |proj g|=     8.349e-06
-  At iterate     8  f =       318.22  |proj g|=    8.6244e-09
+  At iterate     0  f=          275  |proj g|=       43.875
+  At iterate     1  f =       258.22  |proj g|=         1.012
+  At iterate     2  f =       249.87  |proj g|=        19.518
+  At iterate     3  f =       247.56  |proj g|=        11.644
+  At iterate     4  f =       246.73  |proj g|=        1.7187
+  At iterate     5  f =        246.5  |proj g|=        1.4664
+  At iterate     6  f =       246.43  |proj g|=        1.7083
+  At iterate     7  f =       246.43  |proj g|=       0.24001
+  At iterate     8  f =       246.43  |proj g|=       0.24002
+  At iterate     9  f =       246.43  |proj g|=       0.24006
+  At iterate    10  f =       246.43  |proj g|=       0.24021
+  At iterate    11  f =       246.42  |proj g|=       0.24031
+  At iterate    12  f =       246.42  |proj g|=       0.32266
+  At iterate    13  f =       246.41  |proj g|=       0.52881
+  At iterate    14  f =        246.4  |proj g|=        1.2593
+  At iterate    15  f =       246.39  |proj g|=        0.8464
+  At iterate    16  f =       246.35  |proj g|=         1.599
+  At iterate    17  f =          246  |proj g|=        3.6022
+  At iterate    18  f =        244.4  |proj g|=        8.2332
+  At iterate    19  f =       243.59  |proj g|=        5.0685
+  At iterate    20  f =       243.39  |proj g|=        1.7308
+  At iterate    21  f =       243.31  |proj g|=        1.4098
+  At iterate    22  f =       243.27  |proj g|=        1.3786
+  At iterate    23  f =       243.26  |proj g|=       0.15265
+  At iterate    24  f =       243.26  |proj g|=     0.0064025
+  At iterate    25  f =       243.26  |proj g|=    0.00080787
   
-  iterations 8
-  function evaluations 19
-  segments explored during Cauchy searches 12
+  iterations 25
+  function evaluations 33
+  segments explored during Cauchy searches 27
   BFGS updates skipped 0
-  active bounds at final generalized Cauchy point 2
-  norm of the final projected gradient 8.62444e-09
-  final function value 318.222
+  active bounds at final generalized Cauchy point 0
+  norm of the final projected gradient 0.000807869
+  final function value 243.264
   
-  F = 318.222
-  final  value 318.221782 
+  F = 243.264
+  final  value 243.264413 
   converged
   [ FAIL 2 | WARN 227 | SKIP 4 | PASS 547 ]
   
> 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 4.4.3 (2025-02-28) -- "Trophy Case"
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/2025-03-29/deps.csv", 
task.str = "844", release = "/scratch/th798/data.table-revdeps/2025-03-29/data.table_release_1.17.0.tar.gz", 
master = "/scratch/th798/data.table-revdeps/2025-03-29/data.table_master_1.17.99.2cb03162a21328cc5f68a8c3b0e554f5edfcb5b9.tar.gz"
)
> (task.dir <- dirname(.libPaths()[1]))#should be /tmp/th798/slurmid/R-vers
[1] "/tmp/th798/16179532/R-release/844"
> if(requireNamespace("R.cache"))R.cache::getCachePath()
Loading required namespace: R.cache
[1] "/tmp/th798/16179532/R-release/844/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/th798/16179532/R-release/844/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] "2025-03-29 01:20:44 MST"
> install.time <- system.time({
+   install.packages(rev.dep, dep=TRUE)
+ })
Installing package into '/tmp/th798/16179532/R-release/844/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'
Content type 'application/x-gzip' length 47134 bytes (46 KB)
==================================================
downloaded 46 KB

trying URL 'http://cloud.r-project.org/src/contrib/mlr3_0.23.0.tar.gz'
Content type 'application/x-gzip' length 948622 bytes (926 KB)
==================================================
downloaded 926 KB

trying URL 'http://cloud.r-project.org/src/contrib/paradox_1.0.1.tar.gz'
Content type 'application/x-gzip' length 386196 bytes (377 KB)
==================================================
downloaded 377 KB

trying URL 'http://cloud.r-project.org/src/contrib/DiceKriging_1.6.0.tar.gz'
Content type 'application/x-gzip' length 100520 bytes (98 KB)
==================================================
downloaded 98 KB

trying URL 'http://cloud.r-project.org/src/contrib/rgenoud_5.9-0.11.tar.gz'
Content type 'application/x-gzip' length 727266 bytes (710 KB)
==================================================
downloaded 710 KB

trying URL 'http://cloud.r-project.org/src/contrib/mlr3learners_0.10.0.tar.gz'
Content type 'application/x-gzip' length 67986 bytes (66 KB)
==================================================
downloaded 66 KB

* installing *source* package 'mlr3measures' ...
** 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' ...
** 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' ...
** 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/th798/16179532/R-release/844/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' ...
** 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/th798/16179532/R-release/844/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' ...
** 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' ...
** 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/th798/16179532/Rtmpcciatm/downloaded_packages'
> cat("Time to install revdep:\n")
Time to install revdep:
> print(install.time)
   user  system elapsed 
 86.611   3.755 100.697 
> print(Sys.time())
[1] "2025-03-29 01:22:25 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] "2025-03-29 01:22:25 MST"
Installing package into '/tmp/th798/16179532/R-release/844/library'
(as 'lib' is unspecified)
* installing *source* package 'data.table' ...
** 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/th798/16179532/R-release/844/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] "2025-03-29 01:22:55 MST"
* using log directory '/tmp/th798/16179532/R-release/844/mlr3learners.Rcheck'
* using R version 4.4.3 (2025-02-28)
* 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 20.794415 
  converged
  # weights:  3 (2 variable)
  initial  value 20.794415 
  final  value 20.794415 
  converged
  # weights:  3 (2 variable)
  initial  value 20.794415 
  final  value 19.782474 
  converged
  # weights:  3 (2 variable)
  initial  value 20.794415 
  final  value 19.782474 
  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 19.725583 
  converged
  # weights:  6 (5 variable)
  initial  value 20.794415 
  final  value 19.725583 
  converged
  # weights:  6 (5 variable)
  initial  value 20.794415 
  final  value 19.725583 
  converged
  # weights:  6 (5 variable)
  initial  value 20.794415 
  final  value 19.725583 
  converged
  # weights:  6 (5 variable)
  initial  value 10.657843 
  iter  10 value 9.570636
  final  value 9.570635 
  converged
  # weights:  6 (5 variable)
  initial  value 10.657843 
  iter  10 value 9.570636
  final  value 9.570635 
  converged
  # weights:  6 (5 variable)
  initial  value 20.794415 
  final  value 19.725583 
  converged
  # weights:  6 (5 variable)
  initial  value 20.794415 
  final  value 19.725583 
  converged
  # weights:  9 (4 variable)
  initial  value 32.958369 
  final  value 30.006737 
  converged
  # weights:  9 (4 variable)
  initial  value 32.958369 
  final  value 30.006737 
  converged
  # weights:  9 (4 variable)
  initial  value 32.958369 
  final  value 31.884179 
  converged
  # weights:  9 (4 variable)
  initial  value 32.958369 
  final  value 31.884179 
  converged
  # weights:  9 (4 variable)
  initial  value 32.958369 
  final  value 31.794759 
  converged
  # weights:  9 (4 variable)
  initial  value 32.958369 
  final  value 31.794759 
  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 26.542264
  final  value 26.532649 
  converged
  # weights:  18 (10 variable)
  initial  value 32.958369 
  iter  10 value 26.542264
  final  value 26.532649 
  converged
  # weights:  18 (10 variable)
  initial  value 32.958369 
  iter  10 value 26.542264
  final  value 26.532649 
  converged
  # weights:  18 (10 variable)
  initial  value 32.958369 
  iter  10 value 26.542264
  final  value 26.532649 
  converged
  # weights:  18 (10 variable)
  initial  value 16.220515 
  iter  10 value 11.988704
  iter  20 value 11.961634
  final  value 11.961627 
  converged
  # weights:  18 (10 variable)
  initial  value 16.220515 
  iter  10 value 11.988704
  iter  20 value 11.961634
  final  value 11.961627 
  converged
  # weights:  18 (10 variable)
  initial  value 32.958369 
  iter  10 value 26.542264
  final  value 26.532649 
  converged
  # weights:  18 (10 variable)
  initial  value 32.958369 
  iter  10 value 26.542264
  final  value 26.532649 
  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 : 1.347121e-08 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.96436 
    - variance bounds :  0.1288568 13.47121 
    - best initial criterion value(s) :  -3257243 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=   3.2572e+06  |proj g|=       12.447
  At iterate     1  f =       113.41  |proj g|=        1.6739
  At iterate     2  f =       77.934  |proj g|=         1.025
  At iterate     3  f =       77.891  |proj g|=      0.099716
  Nonpositive definiteness in Cholesky factorization in formk;
     refresh the lbfgs memory and restart the iteration.
  At iterate     4  f =       77.891  |proj g|=     0.0040916
  At iterate     5  f =       77.891  |proj g|=     4.369e-05
  At iterate     6  f =       77.891  |proj g|=     1.889e-08
  
  iterations 6
  function evaluations 24
  segments explored during Cauchy searches 11
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 1.88897e-08
  final function value 77.8911
  
  F = 77.8911
  final  value 77.891095 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 1.347121e-08 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.96436 
    - variance bounds :  0.1288568 13.47121 
    - best initial criterion value(s) :  -3257243 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=   3.2572e+06  |proj g|=       12.447
  At iterate     1  f =       113.41  |proj g|=        1.6739
  At iterate     2  f =       77.934  |proj g|=         1.025
  At iterate     3  f =       77.891  |proj g|=      0.099716
  Nonpositive definiteness in Cholesky factorization in formk;
     refresh the lbfgs memory and restart the iteration.
  At iterate     4  f =       77.891  |proj g|=     0.0040916
  At iterate     5  f =       77.891  |proj g|=     4.369e-05
  At iterate     6  f =       77.891  |proj g|=     1.889e-08
  
  iterations 6
  function evaluations 24
  segments explored during Cauchy searches 11
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 1.88897e-08
  final function value 77.8911
  
  F = 77.8911
  final  value 77.891095 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 1.347121e-08 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.96436 
    - variance bounds :  0.1288568 13.47121 
    - best initial criterion value(s) :  -8297.759 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       8297.8  |proj g|=       12.219
  At iterate     1  f =       113.41  |proj g|=        1.6739
  At iterate     2  f =       80.254  |proj g|=        1.9808
  ys=-3.137e+01  -gs= 1.902e+01, BFGS update SKIPPED
  At iterate     3  f =       77.928  |proj g|=       0.95431
  At iterate     4  f =       77.891  |proj g|=      0.044449
  At iterate     5  f =       77.891  |proj g|=      0.005172
  At iterate     6  f =       77.891  |proj g|=    2.4406e-05
  At iterate     7  f =       77.891  |proj g|=    1.3323e-08
  
  iterations 7
  function evaluations 28
  segments explored during Cauchy searches 10
  BFGS updates skipped 1
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 1.33226e-08
  final function value 77.8911
  
  F = 77.8911
  final  value 77.891095 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 1.347121e-08 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.96436 
    - variance bounds :  0.1288568 13.47121 
    - best initial criterion value(s) :  -8297.759 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       8297.8  |proj g|=       12.219
  At iterate     1  f =       113.41  |proj g|=        1.6739
  At iterate     2  f =       80.254  |proj g|=        1.9808
  ys=-3.137e+01  -gs= 1.902e+01, BFGS update SKIPPED
  At iterate     3  f =       77.928  |proj g|=       0.95431
  At iterate     4  f =       77.891  |proj g|=      0.044449
  At iterate     5  f =       77.891  |proj g|=      0.005172
  At iterate     6  f =       77.891  |proj g|=    2.4406e-05
  At iterate     7  f =       77.891  |proj g|=    1.3323e-08
  
  iterations 7
  function evaluations 28
  segments explored during Cauchy searches 10
  BFGS updates skipped 1
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 1.33226e-08
  final function value 77.8911
  
  F = 77.8911
  final  value 77.891095 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 1.347121e-08 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.96436 
    - variance bounds :  0.1288568 13.47121 
    - best initial criterion value(s) :  -1209440 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=   1.2094e+06  |proj g|=       11.539
  At iterate     1  f =       113.41  |proj g|=        1.6739
  At iterate     2  f =       78.118  |proj g|=        1.3866
  ys=-5.398e+00  -gs= 2.001e+01, BFGS update SKIPPED
  At iterate     3  f =       78.007  |proj g|=        1.3273
  At iterate     4  f =       77.907  |proj g|=       0.70766
  At iterate     5  f =       77.892  |proj g|=       0.13787
  At iterate     6  f =       77.891  |proj g|=     0.0095957
  At iterate     7  f =       77.891  |proj g|=     0.0001425
  At iterate     8  f =       77.891  |proj g|=     1.446e-07
  
  iterations 8
  function evaluations 26
  segments explored during Cauchy searches 10
  BFGS updates skipped 1
  active bounds at final generalized Cauchy point 1
  norm of the final projected gradient 1.44596e-07
  final function value 77.8911
  
  F = 77.8911
  final  value 77.891095 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 1.347121e-08 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.96436 
    - variance bounds :  0.1288568 13.47121 
    - best initial criterion value(s) :  -50055.3 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=        50055  |proj g|=       12.473
  At iterate     1  f =       113.41  |proj g|=        1.6739
  At iterate     2  f =        79.26  |proj g|=        1.7451
  ys=-2.631e+01  -gs= 1.941e+01, BFGS update SKIPPED
  At iterate     3  f =       78.735  |proj g|=        1.6031
  At iterate     4  f =        77.92  |proj g|=       0.85763
  At iterate     5  f =       77.909  |proj g|=       0.76354
  At iterate     6  f =       77.891  |proj g|=      0.070429
  At iterate     7  f =       77.891  |proj g|=     0.0052098
  At iterate     8  f =       77.891  |proj g|=    3.9143e-05
  At iterate     9  f =       77.891  |proj g|=    2.1552e-08
  
  iterations 9
  function evaluations 32
  segments explored during Cauchy searches 12
  BFGS updates skipped 1
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 2.15523e-08
  final function value 77.8911
  
  F = 77.8911
  final  value 77.891095 
  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) :  -796.4108 
  
  N = 3, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       796.41  |proj g|=       17.013
  At iterate     1  f =        324.4  |proj g|=       0.35777
  At iterate     2  f =       318.23  |proj g|=       0.02337
  At iterate     3  f =       318.22  |proj g|=     0.0003885
  At iterate     4  f =       318.22  |proj g|=    1.2873e-05
  At iterate     5  f =       318.22  |proj g|=    6.8072e-09
  
  iterations 5
  function evaluations 19
  segments explored during Cauchy searches 7
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 2
  norm of the final projected gradient 6.8072e-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) :  -259.6361 
  
  N = 3, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       259.64  |proj g|=       22.547
  At iterate     1  f =       250.76  |proj g|=        1.8572
  At iterate     2  f =       250.33  |proj g|=        1.6997
  At iterate     3  f =       250.28  |proj g|=       0.21965
  At iterate     4  f =       250.27  |proj g|=       0.22472
  At iterate     5  f =       250.27  |proj g|=       0.22456
  At iterate     6  f =       250.26  |proj g|=         1.342
  At iterate     7  f =       250.22  |proj g|=        1.6978
  At iterate     8  f =       250.11  |proj g|=        1.7023
  At iterate     9  f =       249.82  |proj g|=        1.7736
  At iterate    10  f =       249.02  |proj g|=        1.8072
  At iterate    11  f =       247.45  |proj g|=        1.7806
  At iterate    12  f =       246.08  |proj g|=         1.758
  At iterate    13  f =       243.68  |proj g|=        1.4495
  At iterate    14  f =        243.3  |proj g|=        1.1836
  At iterate    15  f =       243.27  |proj g|=       0.26346
  At iterate    16  f =       243.26  |proj g|=       0.55957
  At iterate    17  f =       243.26  |proj g|=      0.020655
  At iterate    18  f =       243.26  |proj g|=    0.00016992
  
  iterations 18
  function evaluations 27
  segments explored during Cauchy searches 19
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 0
  norm of the final projected gradient 0.000169917
  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) :  -293.4917 
  
  N = 3, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       293.49  |proj g|=       44.135
  At iterate     1  f =       286.88  |proj g|=       0.61336
  At iterate     2  f =       286.25  |proj g|=        5.1707
  At iterate     3  f =       282.63  |proj g|=        43.977
  At iterate     4  f =       281.77  |proj g|=        43.946
  At iterate     5  f =       279.84  |proj g|=          43.9
  At iterate     6  f =       269.55  |proj g|=        40.257
  At iterate     7  f =       255.47  |proj g|=        2.2948
  At iterate     8  f =       250.03  |proj g|=        12.624
  At iterate     9  f =       249.03  |proj g|=        1.7178
  At iterate    10  f =       248.55  |proj g|=        1.2602
  At iterate    11  f =       248.53  |proj g|=       0.48779
  At iterate    12  f =       248.53  |proj g|=       0.23664
  At iterate    13  f =       248.53  |proj g|=       0.23507
  At iterate    14  f =       248.51  |proj g|=       0.65658
  At iterate    15  f =       248.47  |proj g|=        1.3244
  At iterate    16  f =       248.38  |proj g|=        1.6499
  At iterate    17  f =       248.15  |proj g|=        1.6379
  At iterate    18  f =       247.57  |proj g|=        1.6005
  At iterate    19  f =       246.58  |proj g|=        1.5228
  At iterate    20  f =       245.19  |proj g|=        1.4713
  At iterate    21  f =       243.62  |proj g|=        1.7415
  At iterate    22  f =       243.41  |proj g|=        1.7309
  At iterate    23  f =        243.4  |proj g|=        1.4361
  At iterate    24  f =       243.38  |proj g|=        1.4333
  At iterate    25  f =       243.31  |proj g|=        1.7304
  At iterate    26  f =       243.28  |proj g|=        1.7291
  At iterate    27  f =       243.26  |proj g|=        1.0039
  At iterate    28  f =       243.26  |proj g|=      0.091913
  At iterate    29  f =       243.26  |proj g|=      0.012231
  At iterate    30  f =       243.26  |proj g|=    0.00014413
  
  iterations 30
  function evaluations 40
  segments explored during Cauchy searches 32
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 0
  norm of the final projected gradient 0.000144129
  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) :  -293.5107 
  
  N = 3, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       293.51  |proj g|=      0.74222
  At iterate     1  f =       276.87  |proj g|=        36.325
  At iterate     2  f =       267.52  |proj g|=        19.785
  At iterate     3  f =       255.95  |proj g|=         16.62
  At iterate     4  f =       253.56  |proj g|=        10.385
  At iterate     5  f =        251.9  |proj g|=        3.2199
  At iterate     6  f =       251.73  |proj g|=         1.691
  At iterate     7  f =       251.73  |proj g|=         0.223
  At iterate     8  f =       251.73  |proj g|=       0.21156
  At iterate     9  f =       251.73  |proj g|=       0.21148
  At iterate    10  f =       251.73  |proj g|=       0.36469
  At iterate    11  f =       251.71  |proj g|=       0.50834
  At iterate    12  f =       251.63  |proj g|=        1.6936
  At iterate    13  f =       251.42  |proj g|=        1.7736
  At iterate    14  f =       250.85  |proj g|=         1.845
  At iterate    15  f =       249.32  |proj g|=        1.8751
  At iterate    16  f =       248.16  |proj g|=        1.8038
  At iterate    17  f =       247.23  |proj g|=        1.7632
  At iterate    18  f =       245.62  |proj g|=        1.7624
  At iterate    19  f =       243.32  |proj g|=        1.7618
  At iterate    20  f =       243.27  |proj g|=        1.5512
  At iterate    21  f =       243.26  |proj g|=       0.22555
  At iterate    22  f =       243.26  |proj g|=       0.52719
  At iterate    23  f =       243.26  |proj g|=     0.0046818
  At iterate    24  f =       243.26  |proj g|=    0.00017154
  
  iterations 24
  function evaluations 32
  segments explored during Cauchy searches 26
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 0
  norm of the final projected gradient 0.000171538
  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 : 1.080498e-08 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.949932 
    - variance bounds :  0.1080498 10.83115 
    - best initial criterion value(s) :  -1217.887 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       1217.9  |proj g|=       9.9962
  At iterate     1  f =       107.95  |proj g|=        2.0825
  At iterate     2  f =       72.378  |proj g|=       0.19615
  At iterate     3  f =       72.378  |proj g|=      0.069791
  At iterate     4  f =       72.377  |proj g|=     0.0011444
  At iterate     5  f =       72.377  |proj g|=    6.8173e-06
  
  iterations 5
  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 6.81731e-06
  final function value 72.3774
  
  F = 72.3774
  final  value 72.377412 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 1.080498e-08 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.949932 
    - variance bounds :  0.1080498 10.83115 
    - best initial criterion value(s) :  -1217.887 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       1217.9  |proj g|=       9.9962
  At iterate     1  f =       107.95  |proj g|=        2.0825
  At iterate     2  f =       72.378  |proj g|=       0.19615
  At iterate     3  f =       72.378  |proj g|=      0.069791
  At iterate     4  f =       72.377  |proj g|=     0.0011444
  At iterate     5  f =       72.377  |proj g|=    6.8173e-06
  
  iterations 5
  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 6.81731e-06
  final function value 72.3774
  
  F = 72.3774
  final  value 72.377412 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 1.080498e-08 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.949932 
    - variance bounds :  0.1080498 10.83115 
    - best initial criterion value(s) :  -12315.52 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=        12316  |proj g|=       9.5097
  At iterate     1  f =       107.95  |proj g|=        2.0825
  At iterate     2  f =       72.442  |proj g|=        1.0306
  At iterate     3  f =       72.378  |proj g|=       0.15651
  Nonpositive definiteness in Cholesky factorization in formk;
     refresh the lbfgs memory and restart the iteration.
  At iterate     4  f =       72.377  |proj g|=      0.011016
  At iterate     5  f =       72.377  |proj g|=    0.00014868
  At iterate     6  f =       72.377  |proj g|=     1.389e-07
  
  iterations 6
  function evaluations 21
  segments explored during Cauchy searches 11
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 1.38904e-07
  final function value 72.3774
  
  F = 72.3774
  final  value 72.377412 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 1.080498e-08 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.949932 
    - variance bounds :  0.1080498 10.83115 
    - best initial criterion value(s) :  -12315.52 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=        12316  |proj g|=       9.5097
  At iterate     1  f =       107.95  |proj g|=        2.0825
  At iterate     2  f =       72.442  |proj g|=        1.0306
  At iterate     3  f =       72.378  |proj g|=       0.15651
  Nonpositive definiteness in Cholesky factorization in formk;
     refresh the lbfgs memory and restart the iteration.
  At iterate     4  f =       72.377  |proj g|=      0.011016
  At iterate     5  f =       72.377  |proj g|=    0.00014868
  At iterate     6  f =       72.377  |proj g|=     1.389e-07
  
  iterations 6
  function evaluations 21
  segments explored during Cauchy searches 11
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 1.38904e-07
  final function value 72.3774
  
  F = 72.3774
  final  value 72.377412 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 1.080498e-08 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.949932 
    - variance bounds :  0.1080498 10.83115 
    - best initial criterion value(s) :  -1210.368 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       1210.4  |proj g|=       9.4324
  At iterate     1  f =       107.95  |proj g|=        2.0825
  At iterate     2  f =       72.569  |proj g|=        1.0937
  ys=-3.757e+00  -gs= 2.005e+01, BFGS update SKIPPED
  At iterate     3  f =       72.511  |proj g|=        1.0682
  At iterate     4  f =       72.393  |proj g|=       0.86216
  At iterate     5  f =       72.378  |proj g|=       0.18155
  At iterate     6  f =       72.377  |proj g|=      0.012384
  At iterate     7  f =       72.377  |proj g|=    0.00019445
  At iterate     8  f =       72.377  |proj g|=    2.0424e-07
  
  iterations 8
  function evaluations 20
  segments explored during Cauchy searches 11
  BFGS updates skipped 1
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 2.04244e-07
  final function value 72.3774
  
  F = 72.3774
  final  value 72.377412 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 1.080498e-08 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.949932 
    - variance bounds :  0.1080498 10.83115 
    - best initial criterion value(s) :  -2633.168 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       2633.2  |proj g|=       9.6156
  At iterate     1  f =       107.95  |proj g|=        2.0825
  At iterate     2  f =       73.098  |proj g|=        7.7265
  At iterate     3  f =       72.494  |proj g|=        1.0602
  At iterate     4  f =       72.396  |proj g|=       0.86453
  At iterate     5  f =       72.378  |proj g|=        0.2114
  At iterate     6  f =       72.377  |proj g|=      0.016662
  At iterate     7  f =       72.377  |proj g|=    0.00029237
  At iterate     8  f =       72.377  |proj g|=    4.1342e-07
  
  iterations 8
  function evaluations 24
  segments explored during Cauchy searches 11
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 4.13417e-07
  final function value 72.3774
  
  F = 72.3774
  final  value 72.377412 
  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) :  -23298.01 
  
  N = 3, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=        23298  |proj g|=       318.63
  At iterate     1  f =       394.66  |proj g|=       0.11679
  At iterate     2  f =       320.72  |proj g|=        0.2987
  ys=-6.247e+01  -gs= 4.011e+01, BFGS update SKIPPED
  At iterate     3  f =       319.81  |proj g|=        0.2617
  At iterate     4  f =       318.27  |proj g|=      0.060968
  At iterate     5  f =       318.25  |proj g|=      0.051056
  At iterate     6  f =       318.22  |proj g|=     0.0043264
  At iterate     7  f =       318.22  |proj g|=     0.0002786
  At iterate     8  f =       318.22  |proj g|=    1.6525e-06
  At iterate     9  f =       318.22  |proj g|=    6.2657e-10
  
  iterations 9
  function evaluations 33
  segments explored during Cauchy searches 11
  BFGS updates skipped 1
  active bounds at final generalized Cauchy point 2
  norm of the final projected gradient 6.26565e-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) :  -5627.071 
  
  N = 3, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       5627.1  |proj g|=       133.58
  At iterate     1  f =       359.84  |proj g|=       0.23024
  At iterate     2  f =       318.23  |proj g|=      0.017566
  At iterate     3  f =       318.22  |proj g|=    0.00095118
  At iterate     4  f =       318.22  |proj g|=    2.3392e-05
  At iterate     5  f =       318.22  |proj g|=    3.0218e-08
  
  iterations 5
  function evaluations 17
  segments explored during Cauchy searches 7
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 2
  norm of the final projected gradient 3.0218e-08
  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/th798/16179532/R-release/844/mlr3learners.Rcheck/00check.log'
for details.

[1] "2025-03-29 01:25:53 MST"
[1] "2025-03-29 01:25:53 MST"
Installing package into '/tmp/th798/16179532/R-release/844/library'
(as 'lib' is unspecified)
* installing *source* package 'data.table' ...
** 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/th798/16179532/R-release/844/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] "2025-03-29 01:26:21 MST"
* using log directory '/tmp/th798/16179532/R-release/844/mlr3learners.Rcheck'
* using R version 4.4.3 (2025-02-28)
* 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 19.095425 
  converged
  # weights:  3 (2 variable)
  initial  value 20.794415 
  final  value 19.095425 
  converged
  # weights:  3 (2 variable)
  initial  value 20.794415 
  final  value 20.694248 
  converged
  # weights:  3 (2 variable)
  initial  value 20.794415 
  final  value 20.694248 
  converged
  # weights:  3 (2 variable)
  initial  value 20.794415 
  final  value 20.764293 
  converged
  # weights:  3 (2 variable)
  initial  value 20.794415 
  final  value 20.764293 
  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 18.827692 
  converged
  # weights:  6 (5 variable)
  initial  value 20.794415 
  final  value 18.827692 
  converged
  # weights:  6 (5 variable)
  initial  value 20.794415 
  final  value 18.827692 
  converged
  # weights:  6 (5 variable)
  initial  value 20.794415 
  final  value 18.827692 
  converged
  # weights:  6 (5 variable)
  initial  value 10.479234 
  iter  10 value 9.519597
  final  value 9.519596 
  converged
  # weights:  6 (5 variable)
  initial  value 10.479234 
  iter  10 value 9.519597
  final  value 9.519596 
  converged
  # weights:  6 (5 variable)
  initial  value 20.794415 
  final  value 18.827692 
  converged
  # weights:  6 (5 variable)
  initial  value 20.794415 
  final  value 18.827692 
  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 32.958369 
  converged
  # weights:  9 (4 variable)
  initial  value 32.958369 
  final  value 32.958369 
  converged
  # weights:  9 (4 variable)
  initial  value 32.958369 
  iter  10 value 27.331964
  final  value 27.331818 
  converged
  # weights:  9 (4 variable)
  initial  value 32.958369 
  iter  10 value 27.331964
  final  value 27.331818 
  converged
  # weights:  9 (4 variable)
  initial  value 32.958369 
  iter  10 value 29.103474
  iter  10 value 29.103474
  final  value 29.103474 
  converged
  # weights:  9 (4 variable)
  initial  value 32.958369 
  iter  10 value 29.103474
  iter  10 value 29.103474
  final  value 29.103474 
  converged
  # weights:  18 (10 variable)
  initial  value 32.958369 
  iter  10 value 21.444821
  iter  20 value 21.292944
  iter  20 value 21.292944
  iter  20 value 21.292944
  final  value 21.292944 
  converged
  # weights:  18 (10 variable)
  initial  value 32.958369 
  iter  10 value 21.444821
  iter  20 value 21.292944
  iter  20 value 21.292944
  iter  20 value 21.292944
  final  value 21.292944 
  converged
  # weights:  18 (10 variable)
  initial  value 32.958369 
  iter  10 value 21.444821
  iter  20 value 21.292944
  iter  20 value 21.292944
  iter  20 value 21.292944
  final  value 21.292944 
  converged
  # weights:  18 (10 variable)
  initial  value 32.958369 
  iter  10 value 21.444821
  iter  20 value 21.292944
  iter  20 value 21.292944
  iter  20 value 21.292944
  final  value 21.292944 
  converged
  # weights:  18 (10 variable)
  initial  value 14.746053 
  iter  10 value 8.598021
  iter  20 value 8.371101
  iter  30 value 8.369337
  iter  40 value 8.369334
  final  value 8.369334 
  converged
  # weights:  18 (10 variable)
  initial  value 14.746053 
  iter  10 value 8.598021
  iter  20 value 8.371101
  iter  30 value 8.369337
  iter  40 value 8.369334
  final  value 8.369334 
  converged
  # weights:  18 (10 variable)
  initial  value 32.958369 
  iter  10 value 21.444821
  iter  20 value 21.292944
  iter  20 value 21.292944
  iter  20 value 21.292944
  final  value 21.292944 
  converged
  # weights:  18 (10 variable)
  initial  value 32.958369 
  iter  10 value 21.444821
  iter  20 value 21.292944
  iter  20 value 21.292944
  iter  20 value 21.292944
  final  value 21.292944 
  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 : 1.25694e-08 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.830068 
    - variance bounds :  0.124793 12.5694 
    - best initial criterion value(s) :  -397.4456 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       397.45  |proj g|=       11.025
  At iterate     1  f =       111.68  |proj g|=         1.794
  At iterate     2  f =       76.266  |proj g|=        1.2284
  At iterate     3  f =        76.16  |proj g|=       0.17314
  Nonpositive definiteness in Cholesky factorization in formk;
     refresh the lbfgs memory and restart the iteration.
  At iterate     4  f =       76.159  |proj g|=      0.011728
  At iterate     5  f =       76.159  |proj g|=    0.00020478
  At iterate     6  f =       76.159  |proj g|=    2.3701e-07
  
  iterations 6
  function evaluations 19
  segments explored during Cauchy searches 11
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 2.37011e-07
  final function value 76.1589
  
  F = 76.1589
  final  value 76.158859 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 1.25694e-08 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.830068 
    - variance bounds :  0.124793 12.5694 
    - best initial criterion value(s) :  -397.4456 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       397.45  |proj g|=       11.025
  At iterate     1  f =       111.68  |proj g|=         1.794
  At iterate     2  f =       76.266  |proj g|=        1.2284
  At iterate     3  f =        76.16  |proj g|=       0.17314
  Nonpositive definiteness in Cholesky factorization in formk;
     refresh the lbfgs memory and restart the iteration.
  At iterate     4  f =       76.159  |proj g|=      0.011728
  At iterate     5  f =       76.159  |proj g|=    0.00020478
  At iterate     6  f =       76.159  |proj g|=    2.3701e-07
  
  iterations 6
  function evaluations 19
  segments explored during Cauchy searches 11
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 2.37011e-07
  final function value 76.1589
  
  F = 76.1589
  final  value 76.158859 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 1.25694e-08 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.830068 
    - variance bounds :  0.124793 12.5694 
    - best initial criterion value(s) :  -684.944 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       684.94  |proj g|=       11.375
  At iterate     1  f =       111.68  |proj g|=         1.794
  At iterate     2  f =       76.388  |proj g|=        3.2792
  At iterate     3  f =       76.167  |proj g|=       0.49357
  At iterate     4  f =       76.159  |proj g|=       0.12056
  At iterate     5  f =       76.159  |proj g|=     0.0063456
  At iterate     6  f =       76.159  |proj g|=    7.6467e-05
  At iterate     7  f =       76.159  |proj g|=     4.778e-08
  
  iterations 7
  function evaluations 21
  segments explored during Cauchy searches 10
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 4.77797e-08
  final function value 76.1589
  
  F = 76.1589
  final  value 76.158859 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 1.25694e-08 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.830068 
    - variance bounds :  0.124793 12.5694 
    - best initial criterion value(s) :  -684.944 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       684.94  |proj g|=       11.375
  At iterate     1  f =       111.68  |proj g|=         1.794
  At iterate     2  f =       76.388  |proj g|=        3.2792
  At iterate     3  f =       76.167  |proj g|=       0.49357
  At iterate     4  f =       76.159  |proj g|=       0.12056
  At iterate     5  f =       76.159  |proj g|=     0.0063456
  At iterate     6  f =       76.159  |proj g|=    7.6467e-05
  At iterate     7  f =       76.159  |proj g|=     4.778e-08
  
  iterations 7
  function evaluations 21
  segments explored during Cauchy searches 10
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 4.77797e-08
  final function value 76.1589
  
  F = 76.1589
  final  value 76.158859 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 1.25694e-08 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.830068 
    - variance bounds :  0.124793 12.5694 
    - best initial criterion value(s) :  -171200.1 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=    1.712e+05  |proj g|=        11.84
  At iterate     1  f =       111.68  |proj g|=         1.794
  At iterate     2  f =       77.396  |proj g|=         1.592
  ys=-2.517e+01  -gs= 1.947e+01, BFGS update SKIPPED
  At iterate     3  f =       76.861  |proj g|=        1.4517
  At iterate     4  f =       76.177  |proj g|=       0.72653
  At iterate     5  f =       76.167  |proj g|=       0.54111
  At iterate     6  f =       76.159  |proj g|=      0.039769
  At iterate     7  f =       76.159  |proj g|=     0.0019984
  At iterate     8  f =       76.159  |proj g|=    7.8722e-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 7.87223e-06
  final function value 76.1589
  
  F = 76.1589
  final  value 76.158859 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 1.25694e-08 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.830068 
    - variance bounds :  0.124793 12.5694 
    - best initial criterion value(s) :  -276.9196 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       276.92  |proj g|=       11.801
  At iterate     1  f =       111.68  |proj g|=         1.794
  At iterate     2  f =       76.379  |proj g|=        3.2057
  At iterate     3  f =       76.166  |proj g|=       0.46814
  At iterate     4  f =       76.159  |proj g|=        0.1122
  At iterate     5  f =       76.159  |proj g|=     0.0055762
  At iterate     6  f =       76.159  |proj g|=    6.2478e-05
  At iterate     7  f =       76.159  |proj g|=    3.4309e-08
  
  iterations 7
  function evaluations 21
  segments explored during Cauchy searches 10
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 2
  norm of the final projected gradient 3.43085e-08
  final function value 76.1589
  
  F = 76.1589
  final  value 76.158859 
  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) :  -287.6765 
  
  N = 3, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       287.68  |proj g|=       14.447
  At iterate     1  f =        287.5  |proj g|=       0.57815
  At iterate     2  f =       277.47  |proj g|=        43.805
  At iterate     3  f =       277.28  |proj g|=        43.754
  At iterate     4  f =       273.09  |proj g|=        43.699
  At iterate     5  f =       262.94  |proj g|=        1.0394
  At iterate     6  f =       255.27  |proj g|=         17.64
  At iterate     7  f =       252.58  |proj g|=        16.703
  At iterate     8  f =       250.81  |proj g|=        9.4115
  At iterate     9  f =       250.07  |proj g|=        1.7038
  At iterate    10  f =       249.98  |proj g|=        1.6964
  At iterate    11  f =       249.97  |proj g|=       0.22713
  At iterate    12  f =       249.97  |proj g|=       0.22683
  At iterate    13  f =       249.97  |proj g|=        1.6763
  At iterate    14  f =       249.96  |proj g|=        1.6968
  At iterate    15  f =       249.93  |proj g|=        1.6993
  At iterate    16  f =       249.86  |proj g|=        1.7029
  At iterate    17  f =       249.66  |proj g|=        1.7098
  At iterate    18  f =       249.13  |proj g|=        1.7224
  At iterate    19  f =        247.8  |proj g|=         1.759
  At iterate    20  f =       246.95  |proj g|=        1.7589
  At iterate    21  f =        246.1  |proj g|=        1.7641
  At iterate    22  f =       243.49  |proj g|=        3.2516
  At iterate    23  f =       243.34  |proj g|=        1.7259
  At iterate    24  f =        243.3  |proj g|=        1.1836
  At iterate    25  f =       243.26  |proj g|=        0.1525
  At iterate    26  f =       243.26  |proj g|=      0.099628
  At iterate    27  f =       243.26  |proj g|=     0.0016649
  At iterate    28  f =       243.26  |proj g|=    0.00041473
  
  iterations 28
  function evaluations 43
  segments explored during Cauchy searches 29
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 0
  norm of the final projected gradient 0.000414732
  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) :  -3485.032 
  
  N = 3, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=         3485  |proj g|=       46.658
  At iterate     1  f =        344.8  |proj g|=       0.30182
  At iterate     2  f =        318.3  |proj g|=       0.07496
  At iterate     3  f =       318.22  |proj g|=     0.0055704
  At iterate     4  f =       318.22  |proj g|=    0.00065956
  At iterate     5  f =       318.22  |proj g|=    5.0398e-06
  At iterate     6  f =       318.22  |proj g|=    4.5166e-09
  
  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 4.51661e-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) :  -13702.85 
  
  N = 3, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=        13703  |proj g|=       344.46
  At iterate     1  f =       393.86  |proj g|=       0.11867
  At iterate     2  f =       318.49  |proj g|=       0.17561
  At iterate     3  f =       318.23  |proj g|=      0.023147
  At iterate     4  f =       318.22  |proj g|=     0.0044304
  At iterate     5  f =       318.22  |proj g|=    0.00014638
  At iterate     6  f =       318.22  |proj g|=    8.8862e-07
  
  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 8.88616e-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) :  -11998.49 
  
  N = 3, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=        11998  |proj g|=       265.65
  At iterate     1  f =       384.28  |proj g|=        0.1434
  At iterate     2  f =        318.4  |proj g|=       0.11068
  At iterate     3  f =       318.22  |proj g|=      0.011521
  Nonpositive definiteness in Cholesky factorization in formk;
     refresh the lbfgs memory and restart the iteration.
  At iterate     4  f =       318.22  |proj g|=     0.0091001
  At iterate     5  f =       318.22  |proj g|=    0.00014779
  At iterate     6  f =       318.22  |proj g|=    1.8578e-06
  
  iterations 6
  function evaluations 23
  segments explored during Cauchy searches 10
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 2
  norm of the final projected gradient 1.8578e-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 : 1.016407e-08 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.97202 
    - variance bounds :  0.1005005 10.16407 
    - best initial criterion value(s) :  -8111351 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=   8.1114e+06  |proj g|=         9.03
  At iterate     1  f =       106.37  |proj g|=        2.2186
  At iterate     2  f =       71.667  |proj g|=        8.9194
  At iterate     3  f =       70.994  |proj g|=        1.0113
  At iterate     4  f =       70.874  |proj g|=       0.94222
  At iterate     5  f =        70.85  |proj g|=       0.30423
  At iterate     6  f =       70.849  |proj g|=      0.028228
  At iterate     7  f =       70.849  |proj g|=    0.00066611
  At iterate     8  f =       70.849  |proj g|=    1.5027e-06
  
  iterations 8
  function evaluations 29
  segments explored during Cauchy searches 11
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 1.5027e-06
  final function value 70.8487
  
  F = 70.8487
  final  value 70.848710 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 1.016407e-08 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.97202 
    - variance bounds :  0.1005005 10.16407 
    - best initial criterion value(s) :  -8111351 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=   8.1114e+06  |proj g|=         9.03
  At iterate     1  f =       106.37  |proj g|=        2.2186
  At iterate     2  f =       71.667  |proj g|=        8.9194
  At iterate     3  f =       70.994  |proj g|=        1.0113
  At iterate     4  f =       70.874  |proj g|=       0.94222
  At iterate     5  f =        70.85  |proj g|=       0.30423
  At iterate     6  f =       70.849  |proj g|=      0.028228
  At iterate     7  f =       70.849  |proj g|=    0.00066611
  At iterate     8  f =       70.849  |proj g|=    1.5027e-06
  
  iterations 8
  function evaluations 29
  segments explored during Cauchy searches 11
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 1.5027e-06
  final function value 70.8487
  
  F = 70.8487
  final  value 70.848710 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 1.016407e-08 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.97202 
    - variance bounds :  0.1005005 10.16407 
    - best initial criterion value(s) :  -40193138 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=   4.0193e+07  |proj g|=       9.6507
  At iterate     1  f =       106.37  |proj g|=        2.2186
  At iterate     2  f =       70.939  |proj g|=       0.98542
  At iterate     3  f =        70.85  |proj g|=       0.19843
  Nonpositive definiteness in Cholesky factorization in formk;
     refresh the lbfgs memory and restart the iteration.
  At iterate     4  f =       70.849  |proj g|=      0.015455
  At iterate     5  f =       70.849  |proj g|=     0.0002497
  At iterate     6  f =       70.849  |proj g|=    3.0799e-07
  
  iterations 6
  function evaluations 27
  segments explored during Cauchy searches 11
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 3.0799e-07
  final function value 70.8487
  
  F = 70.8487
  final  value 70.848710 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 1.016407e-08 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.97202 
    - variance bounds :  0.1005005 10.16407 
    - best initial criterion value(s) :  -40193138 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=   4.0193e+07  |proj g|=       9.6507
  At iterate     1  f =       106.37  |proj g|=        2.2186
  At iterate     2  f =       70.939  |proj g|=       0.98542
  At iterate     3  f =        70.85  |proj g|=       0.19843
  Nonpositive definiteness in Cholesky factorization in formk;
     refresh the lbfgs memory and restart the iteration.
  At iterate     4  f =       70.849  |proj g|=      0.015455
  At iterate     5  f =       70.849  |proj g|=     0.0002497
  At iterate     6  f =       70.849  |proj g|=    3.0799e-07
  
  iterations 6
  function evaluations 27
  segments explored during Cauchy searches 11
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 3.0799e-07
  final function value 70.8487
  
  F = 70.8487
  final  value 70.848710 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 1.016407e-08 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.97202 
    - variance bounds :  0.1005005 10.16407 
    - best initial criterion value(s) :  -1277.367 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       1277.4  |proj g|=       8.7495
  At iterate     1  f =       106.37  |proj g|=        2.2186
  At iterate     2  f =       72.243  |proj g|=        9.4382
  At iterate     3  f =       71.189  |proj g|=        1.0796
  At iterate     4  f =       70.941  |proj g|=       0.98654
  At iterate     5  f =       70.869  |proj g|=        1.0616
  At iterate     6  f =       70.849  |proj g|=       0.18042
  At iterate     7  f =       70.849  |proj g|=      0.014054
  At iterate     8  f =       70.849  |proj g|=    0.00020606
  At iterate     9  f =       70.849  |proj g|=    2.3108e-07
  
  iterations 9
  function evaluations 27
  segments explored during Cauchy searches 12
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 2.31081e-07
  final function value 70.8487
  
  F = 70.8487
  final  value 70.848710 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 1.016407e-08 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.97202 
    - variance bounds :  0.1005005 10.16407 
    - best initial criterion value(s) :  -40519.87 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=        40520  |proj g|=       9.3007
  At iterate     1  f =       106.37  |proj g|=        2.2186
  At iterate     2  f =       73.096  |proj g|=        1.4714
  ys=-3.100e+01  -gs= 1.906e+01, BFGS update SKIPPED
  At iterate     3  f =       70.856  |proj g|=       0.59484
  At iterate     4  f =       70.849  |proj g|=      0.010634
  At iterate     5  f =       70.849  |proj g|=    0.00053663
  At iterate     6  f =       70.849  |proj g|=    4.5517e-07
  
  iterations 6
  function evaluations 29
  segments explored during Cauchy searches 9
  BFGS updates skipped 1
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 4.55166e-07
  final function value 70.8487
  
  F = 70.8487
  final  value 70.848710 
  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) :  -422.2844 
  
  N = 3, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       422.28  |proj g|=       5.9013
  At iterate     1  f =          320  |proj g|=       0.27107
  At iterate     2  f =       318.53  |proj g|=       0.14038
  At iterate     3  f =       318.24  |proj g|=      0.032912
  At iterate     4  f =       318.22  |proj g|=     0.0089764
  At iterate     5  f =       318.22  |proj g|=    0.00041919
  At iterate     6  f =       318.22  |proj g|=    5.0451e-06
  At iterate     7  f =       318.22  |proj g|=    2.8788e-09
  
  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 2.87884e-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) :  -285.7901 
  
  N = 3, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       285.79  |proj g|=       6.5362
  At iterate     1  f =       268.36  |proj g|=        3.7041
  At iterate     2  f =       266.26  |proj g|=        3.6535
  At iterate     3  f =       266.22  |proj g|=        3.1522
  At iterate     4  f =       266.21  |proj g|=        2.9708
  At iterate     5  f =       266.15  |proj g|=        2.3703
  At iterate     6  f =       266.02  |proj g|=        1.8092
  At iterate     7  f =       265.64  |proj g|=        1.8071
  At iterate     8  f =       265.07  |proj g|=        2.3739
  At iterate     9  f =       264.34  |proj g|=        2.7431
  At iterate    10  f =       258.32  |proj g|=        11.274
  At iterate    11  f =       253.85  |proj g|=        10.632
  At iterate    12  f =       252.81  |proj g|=        0.7179
  At iterate    13  f =       252.79  |proj g|=       0.20205
  At iterate    14  f =       252.79  |proj g|=       0.20211
  At iterate    15  f =       252.79  |proj g|=       0.89651
  At iterate    16  f =       252.79  |proj g|=        1.6869
  At iterate    17  f =       252.79  |proj g|=        1.6877
  At iterate    18  f =       252.78  |proj g|=        1.6889
  At iterate    19  f =       252.75  |proj g|=        1.6909
  At iterate    20  f =        252.7  |proj g|=         1.694
  At iterate    21  f =       252.55  |proj g|=        1.8729
  At iterate    22  f =       252.45  |proj g|=         1.718
  At iterate    23  f =       251.87  |proj g|=        1.9021
  At iterate    24  f =       250.12  |proj g|=        1.9282
  At iterate    25  f =       248.49  |proj g|=        1.8333
  At iterate    26  f =       245.22  |proj g|=        1.5692
  At iterate    27  f =       244.16  |proj g|=        1.7422
  At iterate    28  f =       243.57  |proj g|=        1.7391
  At iterate    29  f =        243.5  |proj g|=         1.989
  At iterate    30  f =       243.27  |proj g|=       0.15292
  At iterate    31  f =       243.26  |proj g|=       0.19665
  At iterate    32  f =       243.26  |proj g|=      0.033552
  At iterate    33  f =       243.26  |proj g|=     0.0015422
  
  iterations 33
  function evaluations 42
  segments explored during Cauchy searches 34
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 0
  norm of the final projected gradient 0.00154221
  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/th798/16179532/R-release/844/mlr3learners.Rcheck/00check.log'
for details.

[1] "2025-03-29 01:28:54 MST"
> system(paste(c("diff -u", Rcheck.list), collapse=" "))
--- R_version_4.4.3_2025-02-28/release_1.17.0.Rcheck/00check.log	2025-03-29 01:25:53.024534205 -0700
+++ R_version_4.4.3_2025-02-28/master_1.17.99.2cb03162a21328cc5f68a8c3b0e554f5edfcb5b9.Rcheck/00check.log	2025-03-29 01:28:54.618206942 -0700
@@ -60,27 +60,27 @@
   Loading required package: mlr3
   # 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:  3 (2 variable)
   initial  value 20.794415 
-  final  value 20.794415 
+  final  value 20.694248 
   converged
   # weights:  3 (2 variable)
   initial  value 20.794415 
-  final  value 20.794415 
+  final  value 20.694248 
   converged
   # weights:  3 (2 variable)
   initial  value 20.794415 
-  final  value 19.782474 
+  final  value 20.764293 
   converged
   # weights:  3 (2 variable)
   initial  value 20.794415 
-  final  value 19.782474 
+  final  value 20.764293 
   converged
   # weights:  3 (2 variable)
   initial  value 20.794415 
@@ -92,111 +92,139 @@
   converged
   # weights:  6 (5 variable)
   initial  value 20.794415 
-  final  value 19.725583 
+  final  value 18.827692 
   converged
   # weights:  6 (5 variable)
   initial  value 20.794415 
-  final  value 19.725583 
+  final  value 18.827692 
   converged
   # weights:  6 (5 variable)
   initial  value 20.794415 
-  final  value 19.725583 
+  final  value 18.827692 
   converged
   # weights:  6 (5 variable)
   initial  value 20.794415 
-  final  value 19.725583 
+  final  value 18.827692 
   converged
   # weights:  6 (5 variable)
-  initial  value 10.657843 
-  iter  10 value 9.570636
-  final  value 9.570635 
+  initial  value 10.479234 
+  iter  10 value 9.519597
+  final  value 9.519596 
   converged
   # weights:  6 (5 variable)
-  initial  value 10.657843 
-  iter  10 value 9.570636
-  final  value 9.570635 
+  initial  value 10.479234 
+  iter  10 value 9.519597
+  final  value 9.519596 
   converged
   # weights:  6 (5 variable)
   initial  value 20.794415 
-  final  value 19.725583 
+  final  value 18.827692 
   converged
   # weights:  6 (5 variable)
   initial  value 20.794415 
-  final  value 19.725583 
+  final  value 18.827692 
   converged
   # weights:  9 (4 variable)
   initial  value 32.958369 
-  final  value 30.006737 
+  final  value 31.732830 
   converged
   # weights:  9 (4 variable)
   initial  value 32.958369 
-  final  value 30.006737 
+  final  value 31.732830 
   converged
   # weights:  9 (4 variable)
   initial  value 32.958369 
-  final  value 31.884179 
+  final  value 32.958369 
   converged
   # weights:  9 (4 variable)
   initial  value 32.958369 
-  final  value 31.884179 
+  final  value 32.958369 
   converged
   # weights:  9 (4 variable)
   initial  value 32.958369 
-  final  value 31.794759 
+  iter  10 value 27.331964
+  final  value 27.331818 
   converged
   # weights:  9 (4 variable)
   initial  value 32.958369 
-  final  value 31.794759 
+  iter  10 value 27.331964
+  final  value 27.331818 
   converged
   # weights:  9 (4 variable)
   initial  value 32.958369 
-  final  value 32.555658 
+  iter  10 value 29.103474
+  iter  10 value 29.103474
+  final  value 29.103474 
   converged
   # weights:  9 (4 variable)
   initial  value 32.958369 
-  final  value 32.555658 
+  iter  10 value 29.103474
+  iter  10 value 29.103474
+  final  value 29.103474 
   converged
   # weights:  18 (10 variable)
   initial  value 32.958369 
-  iter  10 value 26.542264
-  final  value 26.532649 
+  iter  10 value 21.444821
+  iter  20 value 21.292944
+  iter  20 value 21.292944
+  iter  20 value 21.292944
+  final  value 21.292944 
   converged
   # weights:  18 (10 variable)
   initial  value 32.958369 
-  iter  10 value 26.542264
-  final  value 26.532649 
+  iter  10 value 21.444821
+  iter  20 value 21.292944
+  iter  20 value 21.292944
+  iter  20 value 21.292944
+  final  value 21.292944 
   converged
   # weights:  18 (10 variable)
   initial  value 32.958369 
-  iter  10 value 26.542264
-  final  value 26.532649 
+  iter  10 value 21.444821
+  iter  20 value 21.292944
+  iter  20 value 21.292944
+  iter  20 value 21.292944
+  final  value 21.292944 
   converged
   # weights:  18 (10 variable)
   initial  value 32.958369 
-  iter  10 value 26.542264
-  final  value 26.532649 
+  iter  10 value 21.444821
+  iter  20 value 21.292944
+  iter  20 value 21.292944
+  iter  20 value 21.292944
+  final  value 21.292944 
   converged
   # weights:  18 (10 variable)
-  initial  value 16.220515 
-  iter  10 value 11.988704
-  iter  20 value 11.961634
-  final  value 11.961627 
+  initial  value 14.746053 
+  iter  10 value 8.598021
+  iter  20 value 8.371101
+  iter  30 value 8.369337
+  iter  40 value 8.369334
+  final  value 8.369334 
   converged
   # weights:  18 (10 variable)
-  initial  value 16.220515 
-  iter  10 value 11.988704
-  iter  20 value 11.961634
-  final  value 11.961627 
+  initial  value 14.746053 
+  iter  10 value 8.598021
+  iter  20 value 8.371101
+  iter  30 value 8.369337
+  iter  40 value 8.369334
+  final  value 8.369334 
   converged
   # weights:  18 (10 variable)
   initial  value 32.958369 
-  iter  10 value 26.542264
-  final  value 26.532649 
+  iter  10 value 21.444821
+  iter  20 value 21.292944
+  iter  20 value 21.292944
+  iter  20 value 21.292944
+  final  value 21.292944 
   converged
   # weights:  18 (10 variable)
   initial  value 32.958369 
-  iter  10 value 26.542264
-  final  value 26.532649 
+  iter  10 value 21.444821
+  iter  20 value 21.292944
+  iter  20 value 21.292944
+  iter  20 value 21.292944
+  final  value 21.292944 
   converged
   # weights:  4 (3 variable)
   initial  value 138.629436 
@@ -305,34 +333,34 @@
   * trend model : ~1
   * covariance model : 
     - type :  matern5_2 
-    - nugget : 1.347121e-08 
+    - nugget : 1.25694e-08 
     - parameters lower bounds :  1e-10 1e-10 1e-10 
-    - parameters upper bounds :  4 2 1.96436 
-    - variance bounds :  0.1288568 13.47121 
-    - best initial criterion value(s) :  -3257243 
+    - parameters upper bounds :  4 2 1.830068 
+    - variance bounds :  0.124793 12.5694 
+    - best initial criterion value(s) :  -397.4456 
   
   N = 4, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=   3.2572e+06  |proj g|=       12.447
-  At iterate     1  f =       113.41  |proj g|=        1.6739
-  At iterate     2  f =       77.934  |proj g|=         1.025
-  At iterate     3  f =       77.891  |proj g|=      0.099716
+  At iterate     0  f=       397.45  |proj g|=       11.025
+  At iterate     1  f =       111.68  |proj g|=         1.794
+  At iterate     2  f =       76.266  |proj g|=        1.2284
+  At iterate     3  f =        76.16  |proj g|=       0.17314
   Nonpositive definiteness in Cholesky factorization in formk;
      refresh the lbfgs memory and restart the iteration.
-  At iterate     4  f =       77.891  |proj g|=     0.0040916
-  At iterate     5  f =       77.891  |proj g|=     4.369e-05
-  At iterate     6  f =       77.891  |proj g|=     1.889e-08
+  At iterate     4  f =       76.159  |proj g|=      0.011728
+  At iterate     5  f =       76.159  |proj g|=    0.00020478
+  At iterate     6  f =       76.159  |proj g|=    2.3701e-07
   
   iterations 6
-  function evaluations 24
+  function evaluations 19
   segments explored during Cauchy searches 11
   BFGS updates skipped 0
   active bounds at final generalized Cauchy point 3
-  norm of the final projected gradient 1.88897e-08
-  final function value 77.8911
+  norm of the final projected gradient 2.37011e-07
+  final function value 76.1589
   
-  F = 77.8911
-  final  value 77.891095 
+  F = 76.1589
+  final  value 76.158859 
   converged
   
   optimisation start
@@ -343,34 +371,34 @@
   * trend model : ~1
   * covariance model : 
     - type :  matern5_2 
-    - nugget : 1.347121e-08 
+    - nugget : 1.25694e-08 
     - parameters lower bounds :  1e-10 1e-10 1e-10 
-    - parameters upper bounds :  4 2 1.96436 
-    - variance bounds :  0.1288568 13.47121 
-    - best initial criterion value(s) :  -3257243 
+    - parameters upper bounds :  4 2 1.830068 
+    - variance bounds :  0.124793 12.5694 
+    - best initial criterion value(s) :  -397.4456 
   
   N = 4, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=   3.2572e+06  |proj g|=       12.447
-  At iterate     1  f =       113.41  |proj g|=        1.6739
-  At iterate     2  f =       77.934  |proj g|=         1.025
-  At iterate     3  f =       77.891  |proj g|=      0.099716
+  At iterate     0  f=       397.45  |proj g|=       11.025
+  At iterate     1  f =       111.68  |proj g|=         1.794
+  At iterate     2  f =       76.266  |proj g|=        1.2284
+  At iterate     3  f =        76.16  |proj g|=       0.17314
   Nonpositive definiteness in Cholesky factorization in formk;
      refresh the lbfgs memory and restart the iteration.
-  At iterate     4  f =       77.891  |proj g|=     0.0040916
-  At iterate     5  f =       77.891  |proj g|=     4.369e-05
-  At iterate     6  f =       77.891  |proj g|=     1.889e-08
+  At iterate     4  f =       76.159  |proj g|=      0.011728
+  At iterate     5  f =       76.159  |proj g|=    0.00020478
+  At iterate     6  f =       76.159  |proj g|=    2.3701e-07
   
   iterations 6
-  function evaluations 24
+  function evaluations 19
   segments explored during Cauchy searches 11
   BFGS updates skipped 0
   active bounds at final generalized Cauchy point 3
-  norm of the final projected gradient 1.88897e-08
-  final function value 77.8911
+  norm of the final projected gradient 2.37011e-07
+  final function value 76.1589
   
-  F = 77.8911
-  final  value 77.891095 
+  F = 76.1589
+  final  value 76.158859 
   converged
   
   optimisation start
@@ -381,34 +409,33 @@
   * trend model : ~1
   * covariance model : 
     - type :  matern5_2 
-    - nugget : 1.347121e-08 
+    - nugget : 1.25694e-08 
     - parameters lower bounds :  1e-10 1e-10 1e-10 
-    - parameters upper bounds :  4 2 1.96436 
-    - variance bounds :  0.1288568 13.47121 
-    - best initial criterion value(s) :  -8297.759 
+    - parameters upper bounds :  4 2 1.830068 
+    - variance bounds :  0.124793 12.5694 
+    - best initial criterion value(s) :  -684.944 
   
   N = 4, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=       8297.8  |proj g|=       12.219
-  At iterate     1  f =       113.41  |proj g|=        1.6739
-  At iterate     2  f =       80.254  |proj g|=        1.9808
-  ys=-3.137e+01  -gs= 1.902e+01, BFGS update SKIPPED
-  At iterate     3  f =       77.928  |proj g|=       0.95431
-  At iterate     4  f =       77.891  |proj g|=      0.044449
-  At iterate     5  f =       77.891  |proj g|=      0.005172
-  At iterate     6  f =       77.891  |proj g|=    2.4406e-05
-  At iterate     7  f =       77.891  |proj g|=    1.3323e-08
+  At iterate     0  f=       684.94  |proj g|=       11.375
+  At iterate     1  f =       111.68  |proj g|=         1.794
+  At iterate     2  f =       76.388  |proj g|=        3.2792
+  At iterate     3  f =       76.167  |proj g|=       0.49357
+  At iterate     4  f =       76.159  |proj g|=       0.12056
+  At iterate     5  f =       76.159  |proj g|=     0.0063456
+  At iterate     6  f =       76.159  |proj g|=    7.6467e-05
+  At iterate     7  f =       76.159  |proj g|=     4.778e-08
   
   iterations 7
-  function evaluations 28
+  function evaluations 21
   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 1.33226e-08
-  final function value 77.8911
+  norm of the final projected gradient 4.77797e-08
+  final function value 76.1589
   
-  F = 77.8911
-  final  value 77.891095 
+  F = 76.1589
+  final  value 76.158859 
   converged
   
   optimisation start
@@ -419,34 +446,33 @@
   * trend model : ~1
   * covariance model : 
     - type :  matern5_2 
-    - nugget : 1.347121e-08 
+    - nugget : 1.25694e-08 
     - parameters lower bounds :  1e-10 1e-10 1e-10 
-    - parameters upper bounds :  4 2 1.96436 
-    - variance bounds :  0.1288568 13.47121 
-    - best initial criterion value(s) :  -8297.759 
+    - parameters upper bounds :  4 2 1.830068 
+    - variance bounds :  0.124793 12.5694 
+    - best initial criterion value(s) :  -684.944 
   
   N = 4, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=       8297.8  |proj g|=       12.219
-  At iterate     1  f =       113.41  |proj g|=        1.6739
-  At iterate     2  f =       80.254  |proj g|=        1.9808
-  ys=-3.137e+01  -gs= 1.902e+01, BFGS update SKIPPED
-  At iterate     3  f =       77.928  |proj g|=       0.95431
-  At iterate     4  f =       77.891  |proj g|=      0.044449
-  At iterate     5  f =       77.891  |proj g|=      0.005172
-  At iterate     6  f =       77.891  |proj g|=    2.4406e-05
-  At iterate     7  f =       77.891  |proj g|=    1.3323e-08
+  At iterate     0  f=       684.94  |proj g|=       11.375
+  At iterate     1  f =       111.68  |proj g|=         1.794
+  At iterate     2  f =       76.388  |proj g|=        3.2792
+  At iterate     3  f =       76.167  |proj g|=       0.49357
+  At iterate     4  f =       76.159  |proj g|=       0.12056
+  At iterate     5  f =       76.159  |proj g|=     0.0063456
+  At iterate     6  f =       76.159  |proj g|=    7.6467e-05
+  At iterate     7  f =       76.159  |proj g|=     4.778e-08
   
   iterations 7
-  function evaluations 28
+  function evaluations 21
   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 1.33226e-08
-  final function value 77.8911
+  norm of the final projected gradient 4.77797e-08
+  final function value 76.1589
   
-  F = 77.8911
-  final  value 77.891095 
+  F = 76.1589
+  final  value 76.158859 
   converged
   
   optimisation start
@@ -457,35 +483,35 @@
   * trend model : ~1
   * covariance model : 
     - type :  matern5_2 
-    - nugget : 1.347121e-08 
+    - nugget : 1.25694e-08 
     - parameters lower bounds :  1e-10 1e-10 1e-10 
-    - parameters upper bounds :  4 2 1.96436 
-    - variance bounds :  0.1288568 13.47121 
-    - best initial criterion value(s) :  -1209440 
+    - parameters upper bounds :  4 2 1.830068 
+    - variance bounds :  0.124793 12.5694 
+    - best initial criterion value(s) :  -171200.1 
   
   N = 4, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=   1.2094e+06  |proj g|=       11.539
-  At iterate     1  f =       113.41  |proj g|=        1.6739
-  At iterate     2  f =       78.118  |proj g|=        1.3866
-  ys=-5.398e+00  -gs= 2.001e+01, BFGS update SKIPPED
-  At iterate     3  f =       78.007  |proj g|=        1.3273
-  At iterate     4  f =       77.907  |proj g|=       0.70766
-  At iterate     5  f =       77.892  |proj g|=       0.13787
-  At iterate     6  f =       77.891  |proj g|=     0.0095957
-  At iterate     7  f =       77.891  |proj g|=     0.0001425
-  At iterate     8  f =       77.891  |proj g|=     1.446e-07
+  At iterate     0  f=    1.712e+05  |proj g|=        11.84
+  At iterate     1  f =       111.68  |proj g|=         1.794
+  At iterate     2  f =       77.396  |proj g|=         1.592
+  ys=-2.517e+01  -gs= 1.947e+01, BFGS update SKIPPED
+  At iterate     3  f =       76.861  |proj g|=        1.4517
+  At iterate     4  f =       76.177  |proj g|=       0.72653
+  At iterate     5  f =       76.167  |proj g|=       0.54111
+  At iterate     6  f =       76.159  |proj g|=      0.039769
+  At iterate     7  f =       76.159  |proj g|=     0.0019984
+  At iterate     8  f =       76.159  |proj g|=    7.8722e-06
   
   iterations 8
-  function evaluations 26
-  segments explored during Cauchy searches 10
+  function evaluations 31
+  segments explored during Cauchy searches 11
   BFGS updates skipped 1
-  active bounds at final generalized Cauchy point 1
-  norm of the final projected gradient 1.44596e-07
-  final function value 77.8911
+  active bounds at final generalized Cauchy point 3
+  norm of the final projected gradient 7.87223e-06
+  final function value 76.1589
   
-  F = 77.8911
-  final  value 77.891095 
+  F = 76.1589
+  final  value 76.158859 
   converged
   
   optimisation start
@@ -496,36 +522,33 @@
   * trend model : ~1
   * covariance model : 
     - type :  matern5_2 
-    - nugget : 1.347121e-08 
+    - nugget : 1.25694e-08 
     - parameters lower bounds :  1e-10 1e-10 1e-10 
-    - parameters upper bounds :  4 2 1.96436 
-    - variance bounds :  0.1288568 13.47121 
-    - best initial criterion value(s) :  -50055.3 
+    - parameters upper bounds :  4 2 1.830068 
+    - variance bounds :  0.124793 12.5694 
+    - best initial criterion value(s) :  -276.9196 
   
   N = 4, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=        50055  |proj g|=       12.473
-  At iterate     1  f =       113.41  |proj g|=        1.6739
-  At iterate     2  f =        79.26  |proj g|=        1.7451
-  ys=-2.631e+01  -gs= 1.941e+01, BFGS update SKIPPED
-  At iterate     3  f =       78.735  |proj g|=        1.6031
-  At iterate     4  f =        77.92  |proj g|=       0.85763
-  At iterate     5  f =       77.909  |proj g|=       0.76354
-  At iterate     6  f =       77.891  |proj g|=      0.070429
-  At iterate     7  f =       77.891  |proj g|=     0.0052098
-  At iterate     8  f =       77.891  |proj g|=    3.9143e-05
-  At iterate     9  f =       77.891  |proj g|=    2.1552e-08
+  At iterate     0  f=       276.92  |proj g|=       11.801
+  At iterate     1  f =       111.68  |proj g|=         1.794
+  At iterate     2  f =       76.379  |proj g|=        3.2057
+  At iterate     3  f =       76.166  |proj g|=       0.46814
+  At iterate     4  f =       76.159  |proj g|=        0.1122
+  At iterate     5  f =       76.159  |proj g|=     0.0055762
+  At iterate     6  f =       76.159  |proj g|=    6.2478e-05
+  At iterate     7  f =       76.159  |proj g|=    3.4309e-08
   
-  iterations 9
-  function evaluations 32
-  segments explored during Cauchy searches 12
-  BFGS updates skipped 1
-  active bounds at final generalized Cauchy point 3
-  norm of the final projected gradient 2.15523e-08
-  final function value 77.8911
+  iterations 7
+  function evaluations 21
+  segments explored during Cauchy searches 10
+  BFGS updates skipped 0
+  active bounds at final generalized Cauchy point 2
+  norm of the final projected gradient 3.43085e-08
+  final function value 76.1589
   
-  F = 77.8911
-  final  value 77.891095 
+  F = 76.1589
+  final  value 76.158859 
   converged
   
   optimisation start
@@ -540,27 +563,50 @@
     - 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) :  -796.4108 
+    - best initial criterion value(s) :  -287.6765 
   
   N = 3, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=       796.41  |proj g|=       17.013
-  At iterate     1  f =        324.4  |proj g|=       0.35777
-  At iterate     2  f =       318.23  |proj g|=       0.02337
-  At iterate     3  f =       318.22  |proj g|=     0.0003885
-  At iterate     4  f =       318.22  |proj g|=    1.2873e-05
-  At iterate     5  f =       318.22  |proj g|=    6.8072e-09
-  
-  iterations 5
-  function evaluations 19
-  segments explored during Cauchy searches 7
+  At iterate     0  f=       287.68  |proj g|=       14.447
+  At iterate     1  f =        287.5  |proj g|=       0.57815
+  At iterate     2  f =       277.47  |proj g|=        43.805
+  At iterate     3  f =       277.28  |proj g|=        43.754
+  At iterate     4  f =       273.09  |proj g|=        43.699
+  At iterate     5  f =       262.94  |proj g|=        1.0394
+  At iterate     6  f =       255.27  |proj g|=         17.64
+  At iterate     7  f =       252.58  |proj g|=        16.703
+  At iterate     8  f =       250.81  |proj g|=        9.4115
+  At iterate     9  f =       250.07  |proj g|=        1.7038
+  At iterate    10  f =       249.98  |proj g|=        1.6964
+  At iterate    11  f =       249.97  |proj g|=       0.22713
+  At iterate    12  f =       249.97  |proj g|=       0.22683
+  At iterate    13  f =       249.97  |proj g|=        1.6763
+  At iterate    14  f =       249.96  |proj g|=        1.6968
+  At iterate    15  f =       249.93  |proj g|=        1.6993
+  At iterate    16  f =       249.86  |proj g|=        1.7029
+  At iterate    17  f =       249.66  |proj g|=        1.7098
+  At iterate    18  f =       249.13  |proj g|=        1.7224
+  At iterate    19  f =        247.8  |proj g|=         1.759
+  At iterate    20  f =       246.95  |proj g|=        1.7589
+  At iterate    21  f =        246.1  |proj g|=        1.7641
+  At iterate    22  f =       243.49  |proj g|=        3.2516
+  At iterate    23  f =       243.34  |proj g|=        1.7259
+  At iterate    24  f =        243.3  |proj g|=        1.1836
+  At iterate    25  f =       243.26  |proj g|=        0.1525
+  At iterate    26  f =       243.26  |proj g|=      0.099628
+  At iterate    27  f =       243.26  |proj g|=     0.0016649
+  At iterate    28  f =       243.26  |proj g|=    0.00041473
+  
+  iterations 28
+  function evaluations 43
+  segments explored during Cauchy searches 29
   BFGS updates skipped 0
-  active bounds at final generalized Cauchy point 2
-  norm of the final projected gradient 6.8072e-09
-  final function value 318.222
+  active bounds at final generalized Cauchy point 0
+  norm of the final projected gradient 0.000414732
+  final function value 243.264
   
-  F = 318.222
-  final  value 318.221782 
+  F = 243.264
+  final  value 243.264413 
   converged
   
   optimisation start
@@ -575,40 +621,28 @@
     - 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) :  -259.6361 
+    - best initial criterion value(s) :  -3485.032 
   
   N = 3, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=       259.64  |proj g|=       22.547
-  At iterate     1  f =       250.76  |proj g|=        1.8572
-  At iterate     2  f =       250.33  |proj g|=        1.6997
-  At iterate     3  f =       250.28  |proj g|=       0.21965
-  At iterate     4  f =       250.27  |proj g|=       0.22472
-  At iterate     5  f =       250.27  |proj g|=       0.22456
-  At iterate     6  f =       250.26  |proj g|=         1.342
-  At iterate     7  f =       250.22  |proj g|=        1.6978
-  At iterate     8  f =       250.11  |proj g|=        1.7023
-  At iterate     9  f =       249.82  |proj g|=        1.7736
-  At iterate    10  f =       249.02  |proj g|=        1.8072
-  At iterate    11  f =       247.45  |proj g|=        1.7806
-  At iterate    12  f =       246.08  |proj g|=         1.758
-  At iterate    13  f =       243.68  |proj g|=        1.4495
-  At iterate    14  f =        243.3  |proj g|=        1.1836
-  At iterate    15  f =       243.27  |proj g|=       0.26346
-  At iterate    16  f =       243.26  |proj g|=       0.55957
-  At iterate    17  f =       243.26  |proj g|=      0.020655
-  At iterate    18  f =       243.26  |proj g|=    0.00016992
+  At iterate     0  f=         3485  |proj g|=       46.658
+  At iterate     1  f =        344.8  |proj g|=       0.30182
+  At iterate     2  f =        318.3  |proj g|=       0.07496
+  At iterate     3  f =       318.22  |proj g|=     0.0055704
+  At iterate     4  f =       318.22  |proj g|=    0.00065956
+  At iterate     5  f =       318.22  |proj g|=    5.0398e-06
+  At iterate     6  f =       318.22  |proj g|=    4.5166e-09
   
-  iterations 18
-  function evaluations 27
-  segments explored during Cauchy searches 19
+  iterations 6
+  function evaluations 18
+  segments explored during Cauchy searches 8
   BFGS updates skipped 0
-  active bounds at final generalized Cauchy point 0
-  norm of the final projected gradient 0.000169917
-  final function value 243.264
+  active bounds at final generalized Cauchy point 2
+  norm of the final projected gradient 4.51661e-09
+  final function value 318.222
   
-  F = 243.264
-  final  value 243.264413 
+  F = 318.222
+  final  value 318.221782 
   converged
   
   optimisation start
@@ -623,52 +657,28 @@
     - 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) :  -293.4917 
+    - best initial criterion value(s) :  -13702.85 
   
   N = 3, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=       293.49  |proj g|=       44.135
-  At iterate     1  f =       286.88  |proj g|=       0.61336
-  At iterate     2  f =       286.25  |proj g|=        5.1707
-  At iterate     3  f =       282.63  |proj g|=        43.977
-  At iterate     4  f =       281.77  |proj g|=        43.946
-  At iterate     5  f =       279.84  |proj g|=          43.9
-  At iterate     6  f =       269.55  |proj g|=        40.257
-  At iterate     7  f =       255.47  |proj g|=        2.2948
-  At iterate     8  f =       250.03  |proj g|=        12.624
-  At iterate     9  f =       249.03  |proj g|=        1.7178
-  At iterate    10  f =       248.55  |proj g|=        1.2602
-  At iterate    11  f =       248.53  |proj g|=       0.48779
-  At iterate    12  f =       248.53  |proj g|=       0.23664
-  At iterate    13  f =       248.53  |proj g|=       0.23507
-  At iterate    14  f =       248.51  |proj g|=       0.65658
-  At iterate    15  f =       248.47  |proj g|=        1.3244
-  At iterate    16  f =       248.38  |proj g|=        1.6499
-  At iterate    17  f =       248.15  |proj g|=        1.6379
-  At iterate    18  f =       247.57  |proj g|=        1.6005
-  At iterate    19  f =       246.58  |proj g|=        1.5228
-  At iterate    20  f =       245.19  |proj g|=        1.4713
-  At iterate    21  f =       243.62  |proj g|=        1.7415
-  At iterate    22  f =       243.41  |proj g|=        1.7309
-  At iterate    23  f =        243.4  |proj g|=        1.4361
-  At iterate    24  f =       243.38  |proj g|=        1.4333
-  At iterate    25  f =       243.31  |proj g|=        1.7304
-  At iterate    26  f =       243.28  |proj g|=        1.7291
-  At iterate    27  f =       243.26  |proj g|=        1.0039
-  At iterate    28  f =       243.26  |proj g|=      0.091913
-  At iterate    29  f =       243.26  |proj g|=      0.012231
-  At iterate    30  f =       243.26  |proj g|=    0.00014413
-  
-  iterations 30
-  function evaluations 40
-  segments explored during Cauchy searches 32
+  At iterate     0  f=        13703  |proj g|=       344.46
+  At iterate     1  f =       393.86  |proj g|=       0.11867
+  At iterate     2  f =       318.49  |proj g|=       0.17561
+  At iterate     3  f =       318.23  |proj g|=      0.023147
+  At iterate     4  f =       318.22  |proj g|=     0.0044304
+  At iterate     5  f =       318.22  |proj g|=    0.00014638
+  At iterate     6  f =       318.22  |proj g|=    8.8862e-07
+  
+  iterations 6
+  function evaluations 18
+  segments explored during Cauchy searches 8
   BFGS updates skipped 0
-  active bounds at final generalized Cauchy point 0
-  norm of the final projected gradient 0.000144129
-  final function value 243.264
+  active bounds at final generalized Cauchy point 2
+  norm of the final projected gradient 8.88616e-07
+  final function value 318.222
   
-  F = 243.264
-  final  value 243.264413 
+  F = 318.222
+  final  value 318.221782 
   converged
   
   optimisation start
@@ -683,46 +693,30 @@
     - 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) :  -293.5107 
+    - best initial criterion value(s) :  -11998.49 
   
   N = 3, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=       293.51  |proj g|=      0.74222
-  At iterate     1  f =       276.87  |proj g|=        36.325
-  At iterate     2  f =       267.52  |proj g|=        19.785
-  At iterate     3  f =       255.95  |proj g|=         16.62
-  At iterate     4  f =       253.56  |proj g|=        10.385
-  At iterate     5  f =        251.9  |proj g|=        3.2199
-  At iterate     6  f =       251.73  |proj g|=         1.691
-  At iterate     7  f =       251.73  |proj g|=         0.223
-  At iterate     8  f =       251.73  |proj g|=       0.21156
-  At iterate     9  f =       251.73  |proj g|=       0.21148
-  At iterate    10  f =       251.73  |proj g|=       0.36469
-  At iterate    11  f =       251.71  |proj g|=       0.50834
-  At iterate    12  f =       251.63  |proj g|=        1.6936
-  At iterate    13  f =       251.42  |proj g|=        1.7736
-  At iterate    14  f =       250.85  |proj g|=         1.845
-  At iterate    15  f =       249.32  |proj g|=        1.8751
-  At iterate    16  f =       248.16  |proj g|=        1.8038
-  At iterate    17  f =       247.23  |proj g|=        1.7632
-  At iterate    18  f =       245.62  |proj g|=        1.7624
-  At iterate    19  f =       243.32  |proj g|=        1.7618
-  At iterate    20  f =       243.27  |proj g|=        1.5512
-  At iterate    21  f =       243.26  |proj g|=       0.22555
-  At iterate    22  f =       243.26  |proj g|=       0.52719
-  At iterate    23  f =       243.26  |proj g|=     0.0046818
-  At iterate    24  f =       243.26  |proj g|=    0.00017154
-  
-  iterations 24
-  function evaluations 32
-  segments explored during Cauchy searches 26
+  At iterate     0  f=        11998  |proj g|=       265.65
+  At iterate     1  f =       384.28  |proj g|=        0.1434
+  At iterate     2  f =        318.4  |proj g|=       0.11068
+  At iterate     3  f =       318.22  |proj g|=      0.011521
+  Nonpositive definiteness in Cholesky factorization in formk;
+     refresh the lbfgs memory and restart the iteration.
+  At iterate     4  f =       318.22  |proj g|=     0.0091001
+  At iterate     5  f =       318.22  |proj g|=    0.00014779
+  At iterate     6  f =       318.22  |proj g|=    1.8578e-06
+  
+  iterations 6
+  function evaluations 23
+  segments explored during Cauchy searches 10
   BFGS updates skipped 0
-  active bounds at final generalized Cauchy point 0
-  norm of the final projected gradient 0.000171538
-  final function value 243.264
+  active bounds at final generalized Cauchy point 2
+  norm of the final projected gradient 1.8578e-06
+  final function value 318.222
   
-  F = 243.264
-  final  value 243.264413 
+  F = 318.222
+  final  value 318.221782 
   converged
   
   optimisation start
@@ -733,31 +727,34 @@
   * trend model : ~1
   * covariance model : 
     - type :  matern5_2 
-    - nugget : 1.080498e-08 
+    - nugget : 1.016407e-08 
     - parameters lower bounds :  1e-10 1e-10 1e-10 
-    - parameters upper bounds :  4 2 1.949932 
-    - variance bounds :  0.1080498 10.83115 
-    - best initial criterion value(s) :  -1217.887 
+    - parameters upper bounds :  4 2 1.97202 
+    - variance bounds :  0.1005005 10.16407 
+    - best initial criterion value(s) :  -8111351 
   
   N = 4, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=       1217.9  |proj g|=       9.9962
-  At iterate     1  f =       107.95  |proj g|=        2.0825
-  At iterate     2  f =       72.378  |proj g|=       0.19615
-  At iterate     3  f =       72.378  |proj g|=      0.069791
-  At iterate     4  f =       72.377  |proj g|=     0.0011444
-  At iterate     5  f =       72.377  |proj g|=    6.8173e-06
+  At iterate     0  f=   8.1114e+06  |proj g|=         9.03
+  At iterate     1  f =       106.37  |proj g|=        2.2186
+  At iterate     2  f =       71.667  |proj g|=        8.9194
+  At iterate     3  f =       70.994  |proj g|=        1.0113
+  At iterate     4  f =       70.874  |proj g|=       0.94222
+  At iterate     5  f =        70.85  |proj g|=       0.30423
+  At iterate     6  f =       70.849  |proj g|=      0.028228
+  At iterate     7  f =       70.849  |proj g|=    0.00066611
+  At iterate     8  f =       70.849  |proj g|=    1.5027e-06
   
-  iterations 5
-  function evaluations 13
-  segments explored during Cauchy searches 8
+  iterations 8
+  function evaluations 29
+  segments explored during Cauchy searches 11
   BFGS updates skipped 0
-  active bounds at final generalized Cauchy point 2
-  norm of the final projected gradient 6.81731e-06
-  final function value 72.3774
+  active bounds at final generalized Cauchy point 3
+  norm of the final projected gradient 1.5027e-06
+  final function value 70.8487
   
-  F = 72.3774
-  final  value 72.377412 
+  F = 70.8487
+  final  value 70.848710 
   converged
   
   optimisation start
@@ -768,31 +765,34 @@
   * trend model : ~1
   * covariance model : 
     - type :  matern5_2 
-    - nugget : 1.080498e-08 
+    - nugget : 1.016407e-08 
     - parameters lower bounds :  1e-10 1e-10 1e-10 
-    - parameters upper bounds :  4 2 1.949932 
-    - variance bounds :  0.1080498 10.83115 
-    - best initial criterion value(s) :  -1217.887 
+    - parameters upper bounds :  4 2 1.97202 
+    - variance bounds :  0.1005005 10.16407 
+    - best initial criterion value(s) :  -8111351 
   
   N = 4, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=       1217.9  |proj g|=       9.9962
-  At iterate     1  f =       107.95  |proj g|=        2.0825
-  At iterate     2  f =       72.378  |proj g|=       0.19615
-  At iterate     3  f =       72.378  |proj g|=      0.069791
-  At iterate     4  f =       72.377  |proj g|=     0.0011444
-  At iterate     5  f =       72.377  |proj g|=    6.8173e-06
+  At iterate     0  f=   8.1114e+06  |proj g|=         9.03
+  At iterate     1  f =       106.37  |proj g|=        2.2186
+  At iterate     2  f =       71.667  |proj g|=        8.9194
+  At iterate     3  f =       70.994  |proj g|=        1.0113
+  At iterate     4  f =       70.874  |proj g|=       0.94222
+  At iterate     5  f =        70.85  |proj g|=       0.30423
+  At iterate     6  f =       70.849  |proj g|=      0.028228
+  At iterate     7  f =       70.849  |proj g|=    0.00066611
+  At iterate     8  f =       70.849  |proj g|=    1.5027e-06
   
-  iterations 5
-  function evaluations 13
-  segments explored during Cauchy searches 8
+  iterations 8
+  function evaluations 29
+  segments explored during Cauchy searches 11
   BFGS updates skipped 0
-  active bounds at final generalized Cauchy point 2
-  norm of the final projected gradient 6.81731e-06
-  final function value 72.3774
+  active bounds at final generalized Cauchy point 3
+  norm of the final projected gradient 1.5027e-06
+  final function value 70.8487
   
-  F = 72.3774
-  final  value 72.377412 
+  F = 70.8487
+  final  value 70.848710 
   converged
   
   optimisation start
@@ -803,34 +803,34 @@
   * trend model : ~1
   * covariance model : 
     - type :  matern5_2 
-    - nugget : 1.080498e-08 
+    - nugget : 1.016407e-08 
     - parameters lower bounds :  1e-10 1e-10 1e-10 
-    - parameters upper bounds :  4 2 1.949932 
-    - variance bounds :  0.1080498 10.83115 
-    - best initial criterion value(s) :  -12315.52 
+    - parameters upper bounds :  4 2 1.97202 
+    - variance bounds :  0.1005005 10.16407 
+    - best initial criterion value(s) :  -40193138 
   
   N = 4, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=        12316  |proj g|=       9.5097
-  At iterate     1  f =       107.95  |proj g|=        2.0825
-  At iterate     2  f =       72.442  |proj g|=        1.0306
-  At iterate     3  f =       72.378  |proj g|=       0.15651
+  At iterate     0  f=   4.0193e+07  |proj g|=       9.6507
+  At iterate     1  f =       106.37  |proj g|=        2.2186
+  At iterate     2  f =       70.939  |proj g|=       0.98542
+  At iterate     3  f =        70.85  |proj g|=       0.19843
   Nonpositive definiteness in Cholesky factorization in formk;
      refresh the lbfgs memory and restart the iteration.
-  At iterate     4  f =       72.377  |proj g|=      0.011016
-  At iterate     5  f =       72.377  |proj g|=    0.00014868
-  At iterate     6  f =       72.377  |proj g|=     1.389e-07
+  At iterate     4  f =       70.849  |proj g|=      0.015455
+  At iterate     5  f =       70.849  |proj g|=     0.0002497
+  At iterate     6  f =       70.849  |proj g|=    3.0799e-07
   
   iterations 6
-  function evaluations 21
+  function evaluations 27
   segments explored during Cauchy searches 11
   BFGS updates skipped 0
   active bounds at final generalized Cauchy point 3
-  norm of the final projected gradient 1.38904e-07
-  final function value 72.3774
+  norm of the final projected gradient 3.0799e-07
+  final function value 70.8487
   
-  F = 72.3774
-  final  value 72.377412 
+  F = 70.8487
+  final  value 70.848710 
   converged
   
   optimisation start
@@ -841,34 +841,34 @@
   * trend model : ~1
   * covariance model : 
     - type :  matern5_2 
-    - nugget : 1.080498e-08 
+    - nugget : 1.016407e-08 
     - parameters lower bounds :  1e-10 1e-10 1e-10 
-    - parameters upper bounds :  4 2 1.949932 
-    - variance bounds :  0.1080498 10.83115 
-    - best initial criterion value(s) :  -12315.52 
+    - parameters upper bounds :  4 2 1.97202 
+    - variance bounds :  0.1005005 10.16407 
+    - best initial criterion value(s) :  -40193138 
   
   N = 4, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=        12316  |proj g|=       9.5097
-  At iterate     1  f =       107.95  |proj g|=        2.0825
-  At iterate     2  f =       72.442  |proj g|=        1.0306
-  At iterate     3  f =       72.378  |proj g|=       0.15651
+  At iterate     0  f=   4.0193e+07  |proj g|=       9.6507
+  At iterate     1  f =       106.37  |proj g|=        2.2186
+  At iterate     2  f =       70.939  |proj g|=       0.98542
+  At iterate     3  f =        70.85  |proj g|=       0.19843
   Nonpositive definiteness in Cholesky factorization in formk;
      refresh the lbfgs memory and restart the iteration.
-  At iterate     4  f =       72.377  |proj g|=      0.011016
-  At iterate     5  f =       72.377  |proj g|=    0.00014868
-  At iterate     6  f =       72.377  |proj g|=     1.389e-07
+  At iterate     4  f =       70.849  |proj g|=      0.015455
+  At iterate     5  f =       70.849  |proj g|=     0.0002497
+  At iterate     6  f =       70.849  |proj g|=    3.0799e-07
   
   iterations 6
-  function evaluations 21
+  function evaluations 27
   segments explored during Cauchy searches 11
   BFGS updates skipped 0
   active bounds at final generalized Cauchy point 3
-  norm of the final projected gradient 1.38904e-07
-  final function value 72.3774
+  norm of the final projected gradient 3.0799e-07
+  final function value 70.8487
   
-  F = 72.3774
-  final  value 72.377412 
+  F = 70.8487
+  final  value 70.848710 
   converged
   
   optimisation start
@@ -879,35 +879,35 @@
   * trend model : ~1
   * covariance model : 
     - type :  matern5_2 
-    - nugget : 1.080498e-08 
+    - nugget : 1.016407e-08 
     - parameters lower bounds :  1e-10 1e-10 1e-10 
-    - parameters upper bounds :  4 2 1.949932 
-    - variance bounds :  0.1080498 10.83115 
-    - best initial criterion value(s) :  -1210.368 
+    - parameters upper bounds :  4 2 1.97202 
+    - variance bounds :  0.1005005 10.16407 
+    - best initial criterion value(s) :  -1277.367 
   
   N = 4, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=       1210.4  |proj g|=       9.4324
-  At iterate     1  f =       107.95  |proj g|=        2.0825
-  At iterate     2  f =       72.569  |proj g|=        1.0937
-  ys=-3.757e+00  -gs= 2.005e+01, BFGS update SKIPPED
-  At iterate     3  f =       72.511  |proj g|=        1.0682
-  At iterate     4  f =       72.393  |proj g|=       0.86216
-  At iterate     5  f =       72.378  |proj g|=       0.18155
-  At iterate     6  f =       72.377  |proj g|=      0.012384
-  At iterate     7  f =       72.377  |proj g|=    0.00019445
-  At iterate     8  f =       72.377  |proj g|=    2.0424e-07
+  At iterate     0  f=       1277.4  |proj g|=       8.7495
+  At iterate     1  f =       106.37  |proj g|=        2.2186
+  At iterate     2  f =       72.243  |proj g|=        9.4382
+  At iterate     3  f =       71.189  |proj g|=        1.0796
+  At iterate     4  f =       70.941  |proj g|=       0.98654
+  At iterate     5  f =       70.869  |proj g|=        1.0616
+  At iterate     6  f =       70.849  |proj g|=       0.18042
+  At iterate     7  f =       70.849  |proj g|=      0.014054
+  At iterate     8  f =       70.849  |proj g|=    0.00020606
+  At iterate     9  f =       70.849  |proj g|=    2.3108e-07
   
-  iterations 8
-  function evaluations 20
-  segments explored during Cauchy searches 11
-  BFGS updates skipped 1
+  iterations 9
+  function evaluations 27
+  segments explored during Cauchy searches 12
+  BFGS updates skipped 0
   active bounds at final generalized Cauchy point 3
-  norm of the final projected gradient 2.04244e-07
-  final function value 72.3774
+  norm of the final projected gradient 2.31081e-07
+  final function value 70.8487
   
-  F = 72.3774
-  final  value 72.377412 
+  F = 70.8487
+  final  value 70.848710 
   converged
   
   optimisation start
@@ -918,34 +918,33 @@
   * trend model : ~1
   * covariance model : 
     - type :  matern5_2 
-    - nugget : 1.080498e-08 
+    - nugget : 1.016407e-08 
     - parameters lower bounds :  1e-10 1e-10 1e-10 
-    - parameters upper bounds :  4 2 1.949932 
-    - variance bounds :  0.1080498 10.83115 
-    - best initial criterion value(s) :  -2633.168 
+    - parameters upper bounds :  4 2 1.97202 
+    - variance bounds :  0.1005005 10.16407 
+    - best initial criterion value(s) :  -40519.87 
   
   N = 4, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=       2633.2  |proj g|=       9.6156
-  At iterate     1  f =       107.95  |proj g|=        2.0825
-  At iterate     2  f =       73.098  |proj g|=        7.7265
-  At iterate     3  f =       72.494  |proj g|=        1.0602
-  At iterate     4  f =       72.396  |proj g|=       0.86453
-  At iterate     5  f =       72.378  |proj g|=        0.2114
-  At iterate     6  f =       72.377  |proj g|=      0.016662
-  At iterate     7  f =       72.377  |proj g|=    0.00029237
-  At iterate     8  f =       72.377  |proj g|=    4.1342e-07
+  At iterate     0  f=        40520  |proj g|=       9.3007
+  At iterate     1  f =       106.37  |proj g|=        2.2186
+  At iterate     2  f =       73.096  |proj g|=        1.4714
+  ys=-3.100e+01  -gs= 1.906e+01, BFGS update SKIPPED
+  At iterate     3  f =       70.856  |proj g|=       0.59484
+  At iterate     4  f =       70.849  |proj g|=      0.010634
+  At iterate     5  f =       70.849  |proj g|=    0.00053663
+  At iterate     6  f =       70.849  |proj g|=    4.5517e-07
   
-  iterations 8
-  function evaluations 24
-  segments explored during Cauchy searches 11
-  BFGS updates skipped 0
+  iterations 6
+  function evaluations 29
+  segments explored during Cauchy searches 9
+  BFGS updates skipped 1
   active bounds at final generalized Cauchy point 3
-  norm of the final projected gradient 4.13417e-07
-  final function value 72.3774
+  norm of the final projected gradient 4.55166e-07
+  final function value 70.8487
   
-  F = 72.3774
-  final  value 72.377412 
+  F = 70.8487
+  final  value 70.848710 
   converged
   
   optimisation start
@@ -960,28 +959,25 @@
     - 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) :  -23298.01 
+    - best initial criterion value(s) :  -422.2844 
   
   N = 3, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=        23298  |proj g|=       318.63
-  At iterate     1  f =       394.66  |proj g|=       0.11679
-  At iterate     2  f =       320.72  |proj g|=        0.2987
-  ys=-6.247e+01  -gs= 4.011e+01, BFGS update SKIPPED
-  At iterate     3  f =       319.81  |proj g|=        0.2617
-  At iterate     4  f =       318.27  |proj g|=      0.060968
-  At iterate     5  f =       318.25  |proj g|=      0.051056
-  At iterate     6  f =       318.22  |proj g|=     0.0043264
-  At iterate     7  f =       318.22  |proj g|=     0.0002786
-  At iterate     8  f =       318.22  |proj g|=    1.6525e-06
-  At iterate     9  f =       318.22  |proj g|=    6.2657e-10
+  At iterate     0  f=       422.28  |proj g|=       5.9013
+  At iterate     1  f =          320  |proj g|=       0.27107
+  At iterate     2  f =       318.53  |proj g|=       0.14038
+  At iterate     3  f =       318.24  |proj g|=      0.032912
+  At iterate     4  f =       318.22  |proj g|=     0.0089764
+  At iterate     5  f =       318.22  |proj g|=    0.00041919
+  At iterate     6  f =       318.22  |proj g|=    5.0451e-06
+  At iterate     7  f =       318.22  |proj g|=    2.8788e-09
   
-  iterations 9
-  function evaluations 33
-  segments explored during Cauchy searches 11
-  BFGS updates skipped 1
+  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 6.26565e-10
+  norm of the final projected gradient 2.87884e-09
   final function value 318.222
   
   F = 318.222
@@ -1000,27 +996,55 @@
     - 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) :  -5627.071 
+    - best initial criterion value(s) :  -285.7901 
   
   N = 3, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=       5627.1  |proj g|=       133.58
-  At iterate     1  f =       359.84  |proj g|=       0.23024
-  At iterate     2  f =       318.23  |proj g|=      0.017566
-  At iterate     3  f =       318.22  |proj g|=    0.00095118
-  At iterate     4  f =       318.22  |proj g|=    2.3392e-05
-  At iterate     5  f =       318.22  |proj g|=    3.0218e-08
-  
-  iterations 5
-  function evaluations 17
-  segments explored during Cauchy searches 7
+  At iterate     0  f=       285.79  |proj g|=       6.5362
+  At iterate     1  f =       268.36  |proj g|=        3.7041
+  At iterate     2  f =       266.26  |proj g|=        3.6535
+  At iterate     3  f =       266.22  |proj g|=        3.1522
+  At iterate     4  f =       266.21  |proj g|=        2.9708
+  At iterate     5  f =       266.15  |proj g|=        2.3703
+  At iterate     6  f =       266.02  |proj g|=        1.8092
+  At iterate     7  f =       265.64  |proj g|=        1.8071
+  At iterate     8  f =       265.07  |proj g|=        2.3739
+  At iterate     9  f =       264.34  |proj g|=        2.7431
+  At iterate    10  f =       258.32  |proj g|=        11.274
+  At iterate    11  f =       253.85  |proj g|=        10.632
+  At iterate    12  f =       252.81  |proj g|=        0.7179
+  At iterate    13  f =       252.79  |proj g|=       0.20205
+  At iterate    14  f =       252.79  |proj g|=       0.20211
+  At iterate    15  f =       252.79  |proj g|=       0.89651
+  At iterate    16  f =       252.79  |proj g|=        1.6869
+  At iterate    17  f =       252.79  |proj g|=        1.6877
+  At iterate    18  f =       252.78  |proj g|=        1.6889
+  At iterate    19  f =       252.75  |proj g|=        1.6909
+  At iterate    20  f =        252.7  |proj g|=         1.694
+  At iterate    21  f =       252.55  |proj g|=        1.8729
+  At iterate    22  f =       252.45  |proj g|=         1.718
+  At iterate    23  f =       251.87  |proj g|=        1.9021
+  At iterate    24  f =       250.12  |proj g|=        1.9282
+  At iterate    25  f =       248.49  |proj g|=        1.8333
+  At iterate    26  f =       245.22  |proj g|=        1.5692
+  At iterate    27  f =       244.16  |proj g|=        1.7422
+  At iterate    28  f =       243.57  |proj g|=        1.7391
+  At iterate    29  f =        243.5  |proj g|=         1.989
+  At iterate    30  f =       243.27  |proj g|=       0.15292
+  At iterate    31  f =       243.26  |proj g|=       0.19665
+  At iterate    32  f =       243.26  |proj g|=      0.033552
+  At iterate    33  f =       243.26  |proj g|=     0.0015422
+  
+  iterations 33
+  function evaluations 42
+  segments explored during Cauchy searches 34
   BFGS updates skipped 0
-  active bounds at final generalized Cauchy point 2
-  norm of the final projected gradient 3.0218e-08
-  final function value 318.222
+  active bounds at final generalized Cauchy point 0
+  norm of the final projected gradient 0.00154221
+  final function value 243.264
   
-  F = 318.222
-  final  value 318.221782 
+  F = 243.264
+  final  value 243.264413 
   converged
   [ FAIL 2 | WARN 227 | SKIP 4 | PASS 547 ]
   
> 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)
+ }
>