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

WARNING: ignoring environment value of R_HOME

R Under development (unstable) (2025-03-25 r88054) -- "Unsuffered Consequences"
Copyright (C) 2025 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

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Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
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/2025-03-26/deps.csv", 
task.str = "844", release = "/scratch/th798/data.table-revdeps/2025-03-26/data.table_release_1.17.0.tar.gz", 
master = "/scratch/th798/data.table-revdeps/2025-03-26/data.table_master_1.17.99.77b43940971091a63baeccf65ec3b2d729dc3a57.tar.gz"
)
> (task.dir <- dirname(.libPaths()[1]))#should be /tmp/th798/slurmid/R-vers
[1] "/tmp/th798/16119935/R-devel/844"
> if(requireNamespace("R.cache"))R.cache::getCachePath()
Loading required namespace: R.cache
[1] "/tmp/th798/16119935/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/th798/16119935/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] "2025-03-26 01:22:55 MST"
> install.time <- system.time({
+   install.packages(rev.dep, dep=TRUE)
+ })
Installing package into '/tmp/th798/16119935/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/th798/16119935/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/th798/16119935/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/th798/16119935/RtmpZMaSaf/downloaded_packages'
> cat("Time to install revdep:\n")
Time to install revdep:
> print(install.time)
   user  system elapsed 
 50.770   1.911  70.498 
> print(Sys.time())
[1] "2025-03-26 01:24:06 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] "2025-03-26 01:24:06 MST"
Installing package into '/tmp/th798/16119935/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/th798/16119935/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] "2025-03-26 01:24:33 MST"
* using log directory '/tmp/th798/16119935/R-devel/844/mlr3learners.Rcheck'
* using R Under development (unstable) (2025-03-25 r88054)
* 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 27.006   0.09  27.724
* checking for unstated dependencies in 'tests' ... OK
* checking tests ...
  Running 'testthat.R'
 ERROR
Running the tests in 'tests/testthat.R' failed.
Complete output:
  > if (requireNamespace("testthat", quietly = TRUE)) {
  +   library("testthat")
  +   library("mlr3learners")
  +   test_check("mlr3learners")
  + }
  Loading required package: mlr3
  # weights:  3 (2 variable)
  initial  value 20.794415 
  final  value 20.727699 
  converged
  # weights:  3 (2 variable)
  initial  value 20.794415 
  final  value 20.727699 
  converged
  # weights:  3 (2 variable)
  initial  value 20.794415 
  final  value 19.148758 
  converged
  # weights:  3 (2 variable)
  initial  value 20.794415 
  final  value 19.148758 
  converged
  # weights:  3 (2 variable)
  initial  value 20.794415 
  final  value 20.316669 
  converged
  # weights:  3 (2 variable)
  initial  value 20.794415 
  final  value 20.316669 
  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 
  iter  10 value 18.640880
  iter  10 value 18.640880
  iter  10 value 18.640880
  final  value 18.640880 
  converged
  # weights:  6 (5 variable)
  initial  value 20.794415 
  iter  10 value 18.640880
  iter  10 value 18.640880
  iter  10 value 18.640880
  final  value 18.640880 
  converged
  # weights:  6 (5 variable)
  initial  value 20.794415 
  iter  10 value 18.640880
  iter  10 value 18.640880
  iter  10 value 18.640880
  final  value 18.640880 
  converged
  # weights:  6 (5 variable)
  initial  value 20.794415 
  iter  10 value 18.640880
  iter  10 value 18.640880
  iter  10 value 18.640880
  final  value 18.640880 
  converged
  # weights:  6 (5 variable)
  initial  value 9.148298 
  iter  10 value 7.918565
  final  value 7.918555 
  converged
  # weights:  6 (5 variable)
  initial  value 9.148298 
  iter  10 value 7.918565
  final  value 7.918555 
  converged
  # weights:  6 (5 variable)
  initial  value 20.794415 
  iter  10 value 18.640880
  iter  10 value 18.640880
  iter  10 value 18.640880
  final  value 18.640880 
  converged
  # weights:  6 (5 variable)
  initial  value 20.794415 
  iter  10 value 18.640880
  iter  10 value 18.640880
  iter  10 value 18.640880
  final  value 18.640880 
  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 32.504055 
  converged
  # weights:  9 (4 variable)
  initial  value 32.958369 
  final  value 32.504055 
  converged
  # weights:  9 (4 variable)
  initial  value 32.958369 
  final  value 32.187476 
  converged
  # weights:  9 (4 variable)
  initial  value 32.958369 
  final  value 32.187476 
  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:  18 (10 variable)
  initial  value 32.958369 
  iter  10 value 30.478047
  final  value 30.465699 
  converged
  # weights:  18 (10 variable)
  initial  value 32.958369 
  iter  10 value 30.478047
  final  value 30.465699 
  converged
  # weights:  18 (10 variable)
  initial  value 32.958369 
  iter  10 value 30.478047
  final  value 30.465699 
  converged
  # weights:  18 (10 variable)
  initial  value 32.958369 
  iter  10 value 30.478047
  final  value 30.465699 
  converged
  # weights:  18 (10 variable)
  initial  value 18.934777 
  iter  10 value 16.880258
  iter  20 value 16.825433
  final  value 16.825431 
  converged
  # weights:  18 (10 variable)
  initial  value 18.934777 
  iter  10 value 16.880258
  iter  20 value 16.825433
  final  value 16.825431 
  converged
  # weights:  18 (10 variable)
  initial  value 32.958369 
  iter  10 value 30.478047
  final  value 30.465699 
  converged
  # weights:  18 (10 variable)
  initial  value 32.958369 
  iter  10 value 30.478047
  final  value 30.465699 
  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 : 1.180945e-08 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.879738 
    - variance bounds :  0.1180945 12.84453 
    - best initial criterion value(s) :  -5500.372 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       5500.4  |proj g|=       11.056
  At iterate     1  f =       112.02  |proj g|=         1.771
  At iterate     2  f =       75.795  |proj g|=         9.908
  At iterate     3  f =       74.981  |proj g|=        1.2673
  At iterate     4  f =       74.695  |proj g|=        1.1467
  At iterate     5  f =       74.624  |proj g|=        1.0058
  At iterate     6  f =       74.601  |proj g|=       0.17197
  At iterate     7  f =         74.6  |proj g|=      0.014633
  At iterate     8  f =         74.6  |proj g|=    0.00023814
  At iterate     9  f =         74.6  |proj g|=    3.2317e-07
  
  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 3.23167e-07
  final function value 74.5997
  
  F = 74.5997
  final  value 74.599728 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 1.180945e-08 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.879738 
    - variance bounds :  0.1180945 12.84453 
    - best initial criterion value(s) :  -5500.372 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       5500.4  |proj g|=       11.056
  At iterate     1  f =       112.02  |proj g|=         1.771
  At iterate     2  f =       75.795  |proj g|=         9.908
  At iterate     3  f =       74.981  |proj g|=        1.2673
  At iterate     4  f =       74.695  |proj g|=        1.1467
  At iterate     5  f =       74.624  |proj g|=        1.0058
  At iterate     6  f =       74.601  |proj g|=       0.17197
  At iterate     7  f =         74.6  |proj g|=      0.014633
  At iterate     8  f =         74.6  |proj g|=    0.00023814
  At iterate     9  f =         74.6  |proj g|=    3.2317e-07
  
  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 3.23167e-07
  final function value 74.5997
  
  F = 74.5997
  final  value 74.599728 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 1.180945e-08 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.879738 
    - variance bounds :  0.1180945 12.84453 
    - best initial criterion value(s) :  -75.45054 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       75.451  |proj g|=       1.3283
  At iterate     1  f =       74.648  |proj g|=        3.7995
  At iterate     2  f =       74.571  |proj g|=        3.0402
  At iterate     3  f =       74.461  |proj g|=       0.66485
  At iterate     4  f =       74.428  |proj g|=       0.63484
  At iterate     5  f =       74.426  |proj g|=       0.62624
  At iterate     6  f =       74.322  |proj g|=       0.58391
  At iterate     7  f =       74.217  |proj g|=       0.32991
  At iterate     8  f =       74.206  |proj g|=       0.23203
  At iterate     9  f =       74.205  |proj g|=     0.0073658
  At iterate    10  f =       74.205  |proj g|=     0.0073582
  At iterate    11  f =       74.205  |proj g|=    0.00053789
  
  iterations 11
  function evaluations 16
  segments explored during Cauchy searches 14
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 0
  norm of the final projected gradient 0.000537894
  final function value 74.2046
  
  F = 74.2046
  final  value 74.204554 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 1.180945e-08 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.879738 
    - variance bounds :  0.1180945 12.84453 
    - best initial criterion value(s) :  -75.45054 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       75.451  |proj g|=       1.3283
  At iterate     1  f =       74.648  |proj g|=        3.7995
  At iterate     2  f =       74.571  |proj g|=        3.0402
  At iterate     3  f =       74.461  |proj g|=       0.66485
  At iterate     4  f =       74.428  |proj g|=       0.63484
  At iterate     5  f =       74.426  |proj g|=       0.62624
  At iterate     6  f =       74.322  |proj g|=       0.58391
  At iterate     7  f =       74.217  |proj g|=       0.32991
  At iterate     8  f =       74.206  |proj g|=       0.23203
  At iterate     9  f =       74.205  |proj g|=     0.0073658
  At iterate    10  f =       74.205  |proj g|=     0.0073582
  At iterate    11  f =       74.205  |proj g|=    0.00053789
  
  iterations 11
  function evaluations 16
  segments explored during Cauchy searches 14
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 0
  norm of the final projected gradient 0.000537894
  final function value 74.2046
  
  F = 74.2046
  final  value 74.204554 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 1.180945e-08 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.879738 
    - variance bounds :  0.1180945 12.84453 
    - best initial criterion value(s) :  -83240.72 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=        83241  |proj g|=        11.14
  At iterate     1  f =       112.02  |proj g|=         1.771
  At iterate     2  f =       74.603  |proj g|=       0.34234
  At iterate     3  f =         74.6  |proj g|=      0.021214
  Nonpositive definiteness in Cholesky factorization in formk;
     refresh the lbfgs memory and restart the iteration.
  At iterate     4  f =         74.6  |proj g|=     0.0002335
  At iterate     5  f =         74.6  |proj g|=    4.5975e-07
  
  iterations 5
  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 4.59754e-07
  final function value 74.5997
  
  F = 74.5997
  final  value 74.599728 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 1.180945e-08 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.879738 
    - variance bounds :  0.1180945 12.84453 
    - best initial criterion value(s) :  -1306627 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=   1.3066e+06  |proj g|=       11.033
  At iterate     1  f =       112.02  |proj g|=         1.771
  At iterate     2  f =       75.459  |proj g|=        1.4043
  ys=-2.453e+01  -gs= 2.005e+01, BFGS update SKIPPED
  At iterate     3  f =       74.762  |proj g|=        1.1816
  At iterate     4  f =       74.607  |proj g|=        0.4991
  At iterate     5  f =         74.6  |proj g|=       0.14057
  At iterate     6  f =         74.6  |proj g|=     0.0067815
  At iterate     7  f =         74.6  |proj g|=    8.6914e-05
  At iterate     8  f =         74.6  |proj g|=    5.4614e-08
  
  iterations 8
  function evaluations 34
  segments explored during Cauchy searches 11
  BFGS updates skipped 1
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 5.46142e-08
  final function value 74.5997
  
  F = 74.5997
  final  value 74.599728 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 3.435024e-07 
    - parameters lower bounds :  1e-10 1e-10 
    - parameters upper bounds :  1.880582 44.27959 
    - variance bounds :  3.435024 622.0591 
    - best initial criterion value(s) :  -334.3097 
  
  N = 3, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       334.31  |proj g|=       44.178
  At iterate     1  f =       319.24  |proj g|=       0.38642
  At iterate     2  f =          319  |proj g|=       0.32687
  At iterate     3  f =       318.28  |proj g|=      0.077869
  At iterate     4  f =       318.23  |proj g|=      0.020686
  At iterate     5  f =       318.22  |proj g|=     0.0018783
  At iterate     6  f =       318.22  |proj g|=    5.0907e-05
  At iterate     7  f =       318.22  |proj g|=    1.2964e-07
  
  iterations 7
  function evaluations 9
  segments explored during Cauchy searches 9
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 2
  norm of the final projected gradient 1.29642e-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) :  -273.8742 
  
  N = 3, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       273.87  |proj g|=       1.3782
  At iterate     1  f =       255.17  |proj g|=        16.865
  At iterate     2  f =       254.05  |proj g|=        14.031
  At iterate     3  f =       249.08  |proj g|=        1.8359
  At iterate     4  f =       248.37  |proj g|=        1.7147
  At iterate     5  f =       248.11  |proj g|=       0.63154
  At iterate     6  f =       248.09  |proj g|=        0.2378
  At iterate     7  f =       248.09  |proj g|=       0.23792
  At iterate     8  f =       248.09  |proj g|=       0.57848
  At iterate     9  f =       248.09  |proj g|=        1.2812
  At iterate    10  f =       248.09  |proj g|=        1.7028
  At iterate    11  f =       248.08  |proj g|=        1.7035
  At iterate    12  f =       248.07  |proj g|=        1.7047
  At iterate    13  f =       248.05  |proj g|=        1.7065
  At iterate    14  f =       247.99  |proj g|=        1.7093
  At iterate    15  f =       247.85  |proj g|=        1.7137
  At iterate    16  f =       247.52  |proj g|=        1.7357
  At iterate    17  f =       246.92  |proj g|=        1.7832
  At iterate    18  f =        246.3  |proj g|=        1.7544
  At iterate    19  f =       244.88  |proj g|=        1.7441
  At iterate    20  f =       243.54  |proj g|=        1.4248
  At iterate    21  f =       243.35  |proj g|=        2.4126
  At iterate    22  f =       243.27  |proj g|=       0.90786
  At iterate    23  f =       243.27  |proj g|=        1.7282
  At iterate    24  f =       243.26  |proj g|=       0.15256
  At iterate    25  f =       243.26  |proj g|=        0.0183
  At iterate    26  f =       243.26  |proj g|=    9.1109e-06
  
  iterations 26
  function evaluations 32
  segments explored during Cauchy searches 28
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 0
  norm of the final projected gradient 9.11091e-06
  final function value 243.264
  
  F = 243.264
  final  value 243.264413 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 3.435024e-07 
    - parameters lower bounds :  1e-10 1e-10 
    - parameters upper bounds :  1.880582 44.27959 
    - variance bounds :  3.435024 622.0591 
    - best initial criterion value(s) :  -387.0489 
  
  N = 3, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       387.05  |proj g|=        3.403
  At iterate     1  f =       318.78  |proj g|=       0.17929
  At iterate     2  f =       318.52  |proj g|=       0.13934
  At iterate     3  f =       318.28  |proj g|=      0.073929
  At iterate     4  f =       318.22  |proj g|=      0.016094
  At iterate     5  f =       318.22  |proj g|=      0.001477
  At iterate     6  f =       318.22  |proj g|=    3.3332e-05
  At iterate     7  f =       318.22  |proj g|=    6.7133e-08
  
  iterations 7
  function evaluations 14
  segments explored during Cauchy searches 9
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 2
  norm of the final projected gradient 6.71328e-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) :  -1400.427 
  
  N = 3, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       1400.4  |proj g|=       50.683
  At iterate     1  f =        330.6  |proj g|=       0.36401
  At iterate     2  f =       318.96  |proj g|=       0.19932
  At iterate     3  f =        318.3  |proj g|=      0.074725
  Nonpositive definiteness in Cholesky factorization in formk;
     refresh the lbfgs memory and restart the iteration.
  At iterate     4  f =       318.27  |proj g|=      0.061532
  At iterate     5  f =       318.22  |proj g|=     0.0081399
  At iterate     6  f =       318.22  |proj g|=    0.00075086
  At iterate     7  f =       318.22  |proj g|=     8.211e-06
  At iterate     8  f =       318.22  |proj g|=    8.3973e-09
  
  iterations 8
  function evaluations 22
  segments explored during Cauchy searches 12
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 2
  norm of the final projected gradient 8.39734e-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 : 7.181909e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.91133 
    - variance bounds :  0.06929928 7.181909 
    - best initial criterion value(s) :  -75.86952 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=        75.87  |proj g|=        6.663
  At iterate     1  f =        74.91  |proj g|=        2.5013
  At iterate     2  f =       64.758  |proj g|=        1.0826
  ys=-2.971e+00  -gs= 9.007e+00, BFGS update SKIPPED
  At iterate     3  f =       62.516  |proj g|=       0.76675
  At iterate     4  f =       62.172  |proj g|=       0.64967
  At iterate     5  f =       62.167  |proj g|=        0.3242
  At iterate     6  f =       62.166  |proj g|=      0.013771
  At iterate     7  f =       62.166  |proj g|=    0.00024603
  At iterate     8  f =       62.166  |proj g|=    1.9096e-07
  
  iterations 8
  function evaluations 12
  segments explored during Cauchy searches 11
  BFGS updates skipped 1
  active bounds at final generalized Cauchy point 1
  norm of the final projected gradient 1.90961e-07
  final function value 62.1664
  
  F = 62.1664
  final  value 62.166363 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 7.181909e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.91133 
    - variance bounds :  0.06929928 7.181909 
    - best initial criterion value(s) :  -75.86952 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=        75.87  |proj g|=        6.663
  At iterate     1  f =        74.91  |proj g|=        2.5013
  At iterate     2  f =       64.758  |proj g|=        1.0826
  ys=-2.971e+00  -gs= 9.007e+00, BFGS update SKIPPED
  At iterate     3  f =       62.516  |proj g|=       0.76675
  At iterate     4  f =       62.172  |proj g|=       0.64967
  At iterate     5  f =       62.167  |proj g|=        0.3242
  At iterate     6  f =       62.166  |proj g|=      0.013771
  At iterate     7  f =       62.166  |proj g|=    0.00024603
  At iterate     8  f =       62.166  |proj g|=    1.9096e-07
  
  iterations 8
  function evaluations 12
  segments explored during Cauchy searches 11
  BFGS updates skipped 1
  active bounds at final generalized Cauchy point 1
  norm of the final projected gradient 1.90961e-07
  final function value 62.1664
  
  F = 62.1664
  final  value 62.166363 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 7.181909e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.91133 
    - variance bounds :  0.06929928 7.181909 
    - best initial criterion value(s) :  -2316.035 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=         2316  |proj g|=       6.6411
  At iterate     1  f =       97.686  |proj g|=        3.1398
  At iterate     2  f =       63.712  |proj g|=        0.9532
  ys=-2.760e+01  -gs= 1.934e+01, BFGS update SKIPPED
  At iterate     3  f =       62.966  |proj g|=       0.84726
  At iterate     4  f =       62.193  |proj g|=       0.66807
  At iterate     5  f =       62.182  |proj g|=         1.308
  At iterate     6  f =       62.166  |proj g|=       0.11606
  At iterate     7  f =       62.166  |proj g|=     0.0078943
  At iterate     8  f =       62.166  |proj g|=    5.2043e-05
  At iterate     9  f =       62.166  |proj g|=    2.3146e-08
  
  iterations 9
  function evaluations 27
  segments explored during Cauchy searches 12
  BFGS updates skipped 1
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 2.31459e-08
  final function value 62.1664
  
  F = 62.1664
  final  value 62.166363 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 7.181909e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.91133 
    - variance bounds :  0.06929928 7.181909 
    - best initial criterion value(s) :  -2316.035 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=         2316  |proj g|=       6.6411
  At iterate     1  f =       97.686  |proj g|=        3.1398
  At iterate     2  f =       63.712  |proj g|=        0.9532
  ys=-2.760e+01  -gs= 1.934e+01, BFGS update SKIPPED
  At iterate     3  f =       62.966  |proj g|=       0.84726
  At iterate     4  f =       62.193  |proj g|=       0.66807
  At iterate     5  f =       62.182  |proj g|=         1.308
  At iterate     6  f =       62.166  |proj g|=       0.11606
  At iterate     7  f =       62.166  |proj g|=     0.0078943
  At iterate     8  f =       62.166  |proj g|=    5.2043e-05
  At iterate     9  f =       62.166  |proj g|=    2.3146e-08
  
  iterations 9
  function evaluations 27
  segments explored during Cauchy searches 12
  BFGS updates skipped 1
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 2.31459e-08
  final function value 62.1664
  
  F = 62.1664
  final  value 62.166363 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 7.181909e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.91133 
    - variance bounds :  0.06929928 7.181909 
    - best initial criterion value(s) :  -7903.113 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       7903.1  |proj g|=       6.5189
  At iterate     1  f =       97.686  |proj g|=        3.1398
  At iterate     2  f =       62.238  |proj g|=        2.9633
  At iterate     3  f =       62.167  |proj g|=       0.12752
  At iterate     4  f =       62.166  |proj g|=      0.017809
  At iterate     5  f =       62.166  |proj g|=     0.0001292
  At iterate     6  f =       62.166  |proj g|=    1.2972e-07
  
  iterations 6
  function evaluations 23
  segments explored during Cauchy searches 9
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 1.29719e-07
  final function value 62.1664
  
  F = 62.1664
  final  value 62.166363 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 7.181909e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.91133 
    - variance bounds :  0.06929928 7.181909 
    - best initial criterion value(s) :  -1693.448 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       1693.4  |proj g|=       6.5079
  At iterate     1  f =       97.686  |proj g|=        3.1398
  At iterate     2  f =       62.986  |proj g|=        6.6314
  At iterate     3  f =       62.313  |proj g|=       0.71654
  At iterate     4  f =       62.192  |proj g|=       0.66761
  At iterate     5  f =       62.168  |proj g|=       0.43345
  At iterate     6  f =       62.166  |proj g|=      0.040361
  At iterate     7  f =       62.166  |proj g|=    0.00095865
  At iterate     8  f =       62.166  |proj g|=     2.185e-06
  
  iterations 8
  function evaluations 23
  segments explored during Cauchy searches 11
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 2.18496e-06
  final function value 62.1664
  
  F = 62.1664
  final  value 62.166363 
  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) :  -3032.279 
  
  N = 3, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       3032.3  |proj g|=       76.221
  At iterate     1  f =       343.68  |proj g|=       0.30746
  At iterate     2  f =       318.28  |proj g|=      0.065323
  At iterate     3  f =       318.22  |proj g|=      0.001885
  At iterate     4  f =       318.22  |proj g|=    0.00018944
  At iterate     5  f =       318.22  |proj g|=    4.8715e-07
  
  iterations 5
  function evaluations 15
  segments explored during Cauchy searches 7
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 2
  norm of the final projected gradient 4.87149e-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) :  -280.0047 
  
  N = 3, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=          280  |proj g|=         5.38
  At iterate     1  f =       261.14  |proj g|=        1.8409
  At iterate     2  f =       260.91  |proj g|=        1.8395
  At iterate     3  f =       260.56  |proj g|=        1.8362
  At iterate     4  f =        260.2  |proj g|=        1.2955
  At iterate     5  f =       259.24  |proj g|=         1.824
  At iterate     6  f =          259  |proj g|=        2.6306
  At iterate     7  f =       257.75  |proj g|=        5.3974
  At iterate     8  f =       256.26  |proj g|=        9.4715
  At iterate     9  f =       251.65  |proj g|=        22.363
  At iterate    10  f =       245.65  |proj g|=        4.3094
  At iterate    11  f =       245.42  |proj g|=        1.5442
  At iterate    12  f =       245.39  |proj g|=       0.70507
  At iterate    13  f =       245.39  |proj g|=       0.22999
  At iterate    14  f =       245.39  |proj g|=       0.22905
  At iterate    15  f =       245.39  |proj g|=       0.22793
  At iterate    16  f =       245.39  |proj g|=       0.35111
  At iterate    17  f =       245.39  |proj g|=        0.6113
  At iterate    18  f =       245.38  |proj g|=        1.0728
  At iterate    19  f =       245.36  |proj g|=        1.5475
  At iterate    20  f =       245.32  |proj g|=        1.5616
  At iterate    21  f =       245.22  |proj g|=        1.5805
  At iterate    22  f =          245  |proj g|=        1.5968
  At iterate    23  f =       244.63  |proj g|=        1.6103
  At iterate    24  f =       244.44  |proj g|=         1.547
  At iterate    25  f =       243.67  |proj g|=        1.4918
  At iterate    26  f =       243.27  |proj g|=       0.30411
  At iterate    27  f =       243.26  |proj g|=       0.15257
  At iterate    28  f =       243.26  |proj g|=     0.0068824
  At iterate    29  f =       243.26  |proj g|=    0.00033684
  
  iterations 29
  function evaluations 40
  segments explored during Cauchy searches 31
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 0
  norm of the final projected gradient 0.000336836
  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/th798/16119935/R-devel/844/mlr3learners.Rcheck/00check.log'
for details.

[1] "2025-03-26 01:33:20 MST"
[1] "2025-03-26 01:33:20 MST"
Installing package into '/tmp/th798/16119935/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/th798/16119935/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] "2025-03-26 01:33:39 MST"
* using log directory '/tmp/th798/16119935/R-devel/844/mlr3learners.Rcheck'
* using R Under development (unstable) (2025-03-25 r88054)
* 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 27.06  0.092  27.371
* 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 20.793131 
  converged
  # weights:  3 (2 variable)
  initial  value 20.794415 
  final  value 20.793131 
  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 
  iter  10 value 20.645474
  iter  10 value 20.645474
  iter  10 value 20.645474
  final  value 20.645474 
  converged
  # weights:  6 (5 variable)
  initial  value 20.794415 
  iter  10 value 20.645474
  iter  10 value 20.645474
  iter  10 value 20.645474
  final  value 20.645474 
  converged
  # weights:  6 (5 variable)
  initial  value 20.794415 
  iter  10 value 20.645474
  iter  10 value 20.645474
  iter  10 value 20.645474
  final  value 20.645474 
  converged
  # weights:  6 (5 variable)
  initial  value 20.794415 
  iter  10 value 20.645474
  iter  10 value 20.645474
  iter  10 value 20.645474
  final  value 20.645474 
  converged
  # weights:  6 (5 variable)
  initial  value 11.138062 
  iter  10 value 10.613859
  iter  10 value 10.613859
  iter  10 value 10.613859
  final  value 10.613859 
  converged
  # weights:  6 (5 variable)
  initial  value 11.138062 
  iter  10 value 10.613859
  iter  10 value 10.613859
  iter  10 value 10.613859
  final  value 10.613859 
  converged
  # weights:  6 (5 variable)
  initial  value 20.794415 
  iter  10 value 20.645474
  iter  10 value 20.645474
  iter  10 value 20.645474
  final  value 20.645474 
  converged
  # weights:  6 (5 variable)
  initial  value 20.794415 
  iter  10 value 20.645474
  iter  10 value 20.645474
  iter  10 value 20.645474
  final  value 20.645474 
  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 32.807897 
  converged
  # weights:  9 (4 variable)
  initial  value 32.958369 
  final  value 32.807897 
  converged
  # weights:  9 (4 variable)
  initial  value 32.958369 
  final  value 30.649892 
  converged
  # weights:  9 (4 variable)
  initial  value 32.958369 
  final  value 30.649892 
  converged
  # weights:  9 (4 variable)
  initial  value 32.958369 
  final  value 32.555658 
  converged
  # weights:  9 (4 variable)
  initial  value 32.958369 
  final  value 32.555658 
  converged
  # weights:  18 (10 variable)
  initial  value 32.958369 
  iter  10 value 27.415252
  final  value 27.411696 
  converged
  # weights:  18 (10 variable)
  initial  value 32.958369 
  iter  10 value 27.415252
  final  value 27.411696 
  converged
  # weights:  18 (10 variable)
  initial  value 32.958369 
  iter  10 value 27.415252
  final  value 27.411696 
  converged
  # weights:  18 (10 variable)
  initial  value 32.958369 
  iter  10 value 27.415252
  final  value 27.411696 
  converged
  # weights:  18 (10 variable)
  initial  value 16.570975 
  iter  10 value 13.910784
  iter  20 value 13.897004
  final  value 13.897004 
  converged
  # weights:  18 (10 variable)
  initial  value 16.570975 
  iter  10 value 13.910784
  iter  20 value 13.897004
  final  value 13.897004 
  converged
  # weights:  18 (10 variable)
  initial  value 32.958369 
  iter  10 value 27.415252
  final  value 27.411696 
  converged
  # weights:  18 (10 variable)
  initial  value 32.958369 
  iter  10 value 27.415252
  final  value 27.411696 
  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 : 9.170731e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.941831 
    - variance bounds :  0.09170731 9.424858 
    - best initial criterion value(s) :  -854.481 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       854.48  |proj g|=       8.5984
  At iterate     1  f =       104.41  |proj g|=        2.3996
  At iterate     2  f =       70.355  |proj g|=        1.3001
  ys=-3.184e+01  -gs= 1.928e+01, BFGS update SKIPPED
  At iterate     3  f =       68.702  |proj g|=       0.99517
  At iterate     4  f =       68.286  |proj g|=       0.70474
  At iterate     5  f =        68.28  |proj g|=       0.35866
  At iterate     6  f =       68.278  |proj g|=      0.018779
  At iterate     7  f =       68.278  |proj g|=    0.00046996
  At iterate     8  f =       68.278  |proj g|=    6.3562e-07
  
  iterations 8
  function evaluations 29
  segments explored during Cauchy searches 11
  BFGS updates skipped 1
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 6.35619e-07
  final function value 68.2777
  
  F = 68.2777
  final  value 68.277658 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 9.170731e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.941831 
    - variance bounds :  0.09170731 9.424858 
    - best initial criterion value(s) :  -854.481 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       854.48  |proj g|=       8.5984
  At iterate     1  f =       104.41  |proj g|=        2.3996
  At iterate     2  f =       70.355  |proj g|=        1.3001
  ys=-3.184e+01  -gs= 1.928e+01, BFGS update SKIPPED
  At iterate     3  f =       68.702  |proj g|=       0.99517
  At iterate     4  f =       68.286  |proj g|=       0.70474
  At iterate     5  f =        68.28  |proj g|=       0.35866
  At iterate     6  f =       68.278  |proj g|=      0.018779
  At iterate     7  f =       68.278  |proj g|=    0.00046996
  At iterate     8  f =       68.278  |proj g|=    6.3562e-07
  
  iterations 8
  function evaluations 29
  segments explored during Cauchy searches 11
  BFGS updates skipped 1
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 6.35619e-07
  final function value 68.2777
  
  F = 68.2777
  final  value 68.277658 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 9.170731e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.941831 
    - variance bounds :  0.09170731 9.424858 
    - best initial criterion value(s) :  -35230.84 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=        35231  |proj g|=       8.6558
  At iterate     1  f =       104.41  |proj g|=        2.3996
  At iterate     2  f =       69.684  |proj g|=        1.1905
  ys=-2.794e+01  -gs= 1.954e+01, BFGS update SKIPPED
  At iterate     3  f =       68.897  |proj g|=        1.0408
  At iterate     4  f =       68.293  |proj g|=       0.83898
  At iterate     5  f =       68.284  |proj g|=       0.62241
  At iterate     6  f =       68.278  |proj g|=      0.042518
  At iterate     7  f =       68.278  |proj g|=     0.0018091
  At iterate     8  f =       68.278  |proj g|=    5.5526e-06
  
  iterations 8
  function evaluations 30
  segments explored during Cauchy searches 11
  BFGS updates skipped 1
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 5.5526e-06
  final function value 68.2777
  
  F = 68.2777
  final  value 68.277658 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 9.170731e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.941831 
    - variance bounds :  0.09170731 9.424858 
    - best initial criterion value(s) :  -35230.84 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=        35231  |proj g|=       8.6558
  At iterate     1  f =       104.41  |proj g|=        2.3996
  At iterate     2  f =       69.684  |proj g|=        1.1905
  ys=-2.794e+01  -gs= 1.954e+01, BFGS update SKIPPED
  At iterate     3  f =       68.897  |proj g|=        1.0408
  At iterate     4  f =       68.293  |proj g|=       0.83898
  At iterate     5  f =       68.284  |proj g|=       0.62241
  At iterate     6  f =       68.278  |proj g|=      0.042518
  At iterate     7  f =       68.278  |proj g|=     0.0018091
  At iterate     8  f =       68.278  |proj g|=    5.5526e-06
  
  iterations 8
  function evaluations 30
  segments explored during Cauchy searches 11
  BFGS updates skipped 1
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 5.5526e-06
  final function value 68.2777
  
  F = 68.2777
  final  value 68.277658 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 9.170731e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.941831 
    - variance bounds :  0.09170731 9.424858 
    - best initial criterion value(s) :  -60112.07 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=        60112  |proj g|=       8.4589
  At iterate     1  f =       104.41  |proj g|=        2.3996
  At iterate     2  f =       68.689  |proj g|=       0.99194
  ys=-1.282e+01  -gs= 2.002e+01, BFGS update SKIPPED
  At iterate     3  f =        68.49  |proj g|=       0.93496
  At iterate     4  f =       68.347  |proj g|=        2.2826
  At iterate     5  f =       68.283  |proj g|=       0.55222
  At iterate     6  f =       68.278  |proj g|=      0.078901
  At iterate     7  f =       68.278  |proj g|=     0.0033218
  At iterate     8  f =       68.278  |proj g|=    1.8973e-05
  At iterate     9  f =       68.278  |proj g|=    4.5302e-09
  
  iterations 9
  function evaluations 30
  segments explored during Cauchy searches 12
  BFGS updates skipped 1
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 4.53019e-09
  final function value 68.2777
  
  F = 68.2777
  final  value 68.277658 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 9.170731e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.941831 
    - variance bounds :  0.09170731 9.424858 
    - best initial criterion value(s) :  -4905.098 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       4905.1  |proj g|=       8.3728
  At iterate     1  f =       104.41  |proj g|=        2.3996
  At iterate     2  f =       68.367  |proj g|=        2.6359
  At iterate     3  f =       68.278  |proj g|=       0.17105
  At iterate     4  f =       68.278  |proj g|=      0.026678
  At iterate     5  f =       68.278  |proj g|=    0.00033404
  At iterate     6  f =       68.278  |proj g|=    6.4225e-07
  
  iterations 6
  function evaluations 24
  segments explored during Cauchy searches 9
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 6.42254e-07
  final function value 68.2777
  
  F = 68.2777
  final  value 68.277658 
  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) :  -2590.531 
  
  N = 3, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       2590.5  |proj g|=       56.541
  At iterate     1  f =       339.27  |proj g|=       0.32942
  At iterate     2  f =       319.89  |proj g|=        0.2656
  At iterate     3  f =       318.37  |proj g|=       0.12707
  Nonpositive definiteness in Cholesky factorization in formk;
     refresh the lbfgs memory and restart the iteration.
  At iterate     4  f =        318.3  |proj g|=      0.091303
  At iterate     5  f =       318.22  |proj g|=      0.011513
  At iterate     6  f =       318.22  |proj g|=     0.0012191
  At iterate     7  f =       318.22  |proj g|=    1.8689e-05
  At iterate     8  f =       318.22  |proj g|=    3.0928e-08
  
  iterations 8
  function evaluations 17
  segments explored during Cauchy searches 12
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 2
  norm of the final projected gradient 3.09285e-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) :  -391.6756 
  
  N = 3, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       391.68  |proj g|=       5.1177
  At iterate     1  f =       325.17  |proj g|=        0.3621
  At iterate     2  f =       323.57  |proj g|=       0.35107
  At iterate     3  f =       318.64  |proj g|=       0.15888
  Nonpositive definiteness in Cholesky factorization in formk;
     refresh the lbfgs memory and restart the iteration.
  At iterate     4  f =       318.52  |proj g|=       0.13808
  At iterate     5  f =       318.26  |proj g|=      0.060077
  At iterate     6  f =       318.22  |proj g|=      0.013252
  At iterate     7  f =       318.22  |proj g|=     0.0010047
  At iterate     8  f =       318.22  |proj g|=    1.8562e-05
  At iterate     9  f =       318.22  |proj g|=    2.5411e-08
  
  iterations 9
  function evaluations 16
  segments explored during Cauchy searches 12
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 2
  norm of the final projected gradient 2.54113e-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) :  -250.0782 
  
  N = 3, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       250.08  |proj g|=       13.227
  At iterate     1  f =       245.36  |proj g|=        1.6771
  At iterate     2  f =       244.32  |proj g|=        1.7367
  At iterate     3  f =       243.94  |proj g|=        1.7291
  At iterate     4  f =       243.81  |proj g|=       0.94219
  At iterate     5  f =       243.81  |proj g|=       0.16242
  At iterate     6  f =       243.81  |proj g|=       0.16218
  At iterate     7  f =       243.81  |proj g|=       0.16124
  At iterate     8  f =       243.81  |proj g|=       0.16001
  At iterate     9  f =       243.81  |proj g|=       0.22843
  At iterate    10  f =       243.81  |proj g|=       0.40039
  At iterate    11  f =       243.81  |proj g|=       0.69424
  At iterate    12  f =        243.8  |proj g|=        1.1504
  At iterate    13  f =       243.79  |proj g|=        1.4623
  At iterate    14  f =       243.76  |proj g|=         1.473
  At iterate    15  f =       243.73  |proj g|=        1.4695
  At iterate    16  f =       243.63  |proj g|=        1.4729
  At iterate    17  f =       243.44  |proj g|=        1.5181
  At iterate    18  f =       243.31  |proj g|=        1.7316
  At iterate    19  f =       243.27  |proj g|=        1.7296
  At iterate    20  f =       243.27  |proj g|=       0.27737
  At iterate    21  f =       243.26  |proj g|=      0.066217
  At iterate    22  f =       243.26  |proj g|=      0.042574
  At iterate    23  f =       243.26  |proj g|=      0.042038
  
  iterations 23
  function evaluations 27
  segments explored during Cauchy searches 24
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 0
  norm of the final projected gradient 0.0420375
  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) :  -267.6872 
  
  N = 3, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       267.69  |proj g|=       30.525
  At iterate     1  f =       252.74  |proj g|=         1.882
  At iterate     2  f =       252.54  |proj g|=        1.8514
  At iterate     3  f =       252.51  |proj g|=       0.20275
  At iterate     4  f =       252.51  |proj g|=       0.20501
  At iterate     5  f =       252.51  |proj g|=       0.20485
  At iterate     6  f =       252.51  |proj g|=       0.20469
  At iterate     7  f =        252.5  |proj g|=         1.599
  At iterate     8  f =       252.49  |proj g|=        1.6889
  At iterate     9  f =       252.47  |proj g|=        1.6907
  At iterate    10  f =        252.4  |proj g|=        1.8363
  At iterate    11  f =       252.39  |proj g|=        1.6957
  At iterate    12  f =       252.22  |proj g|=        1.8664
  At iterate    13  f =       251.33  |proj g|=         1.906
  At iterate    14  f =       249.12  |proj g|=        1.9078
  At iterate    15  f =       248.04  |proj g|=         1.856
  At iterate    16  f =       245.54  |proj g|=        1.6474
  At iterate    17  f =       245.27  |proj g|=        1.5766
  At iterate    18  f =       244.71  |proj g|=        13.792
  At iterate    19  f =       243.29  |proj g|=         1.728
  At iterate    20  f =       243.27  |proj g|=       0.22187
  At iterate    21  f =       243.26  |proj g|=      0.057789
  At iterate    22  f =       243.26  |proj g|=      0.014242
  At iterate    23  f =       243.26  |proj g|=     0.0025182
  
  iterations 23
  function evaluations 34
  segments explored during Cauchy searches 24
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 0
  norm of the final projected gradient 0.00251825
  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 : 1.069842e-08 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.936015 
    - variance bounds :  0.1069842 11.25441 
    - best initial criterion value(s) :  -3210.703 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       3210.7  |proj g|=       9.7311
  At iterate     1  f =       108.79  |proj g|=        2.0144
  At iterate     2  f =       72.364  |proj g|=        3.9038
  At iterate     3  f =       72.141  |proj g|=       0.69344
  At iterate     4  f =        72.13  |proj g|=        0.1727
  At iterate     5  f =        72.13  |proj g|=      0.011053
  At iterate     6  f =        72.13  |proj g|=    0.00016287
  At iterate     7  f =        72.13  |proj g|=    1.5081e-07
  
  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 1.5081e-07
  final function value 72.1296
  
  F = 72.1296
  final  value 72.129640 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 1.069842e-08 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.936015 
    - variance bounds :  0.1069842 11.25441 
    - best initial criterion value(s) :  -3210.703 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       3210.7  |proj g|=       9.7311
  At iterate     1  f =       108.79  |proj g|=        2.0144
  At iterate     2  f =       72.364  |proj g|=        3.9038
  At iterate     3  f =       72.141  |proj g|=       0.69344
  At iterate     4  f =        72.13  |proj g|=        0.1727
  At iterate     5  f =        72.13  |proj g|=      0.011053
  At iterate     6  f =        72.13  |proj g|=    0.00016287
  At iterate     7  f =        72.13  |proj g|=    1.5081e-07
  
  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 1.5081e-07
  final function value 72.1296
  
  F = 72.1296
  final  value 72.129640 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 1.069842e-08 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.936015 
    - variance bounds :  0.1069842 11.25441 
    - best initial criterion value(s) :  -3250.043 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=         3250  |proj g|=       9.6427
  At iterate     1  f =       108.79  |proj g|=        2.0144
  At iterate     2  f =       73.396  |proj g|=        1.3603
  ys=-2.788e+01  -gs= 1.972e+01, BFGS update SKIPPED
  At iterate     3  f =       72.592  |proj g|=        1.1719
  At iterate     4  f =       72.136  |proj g|=       0.52871
  At iterate     5  f =       72.131  |proj g|=       0.28077
  At iterate     6  f =        72.13  |proj g|=      0.012795
  At iterate     7  f =        72.13  |proj g|=    0.00029311
  At iterate     8  f =        72.13  |proj g|=      3.15e-07
  
  iterations 8
  function evaluations 26
  segments explored during Cauchy searches 11
  BFGS updates skipped 1
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 3.14997e-07
  final function value 72.1296
  
  F = 72.1296
  final  value 72.129640 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 1.069842e-08 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.936015 
    - variance bounds :  0.1069842 11.25441 
    - best initial criterion value(s) :  -3250.043 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=         3250  |proj g|=       9.6427
  At iterate     1  f =       108.79  |proj g|=        2.0144
  At iterate     2  f =       73.396  |proj g|=        1.3603
  ys=-2.788e+01  -gs= 1.972e+01, BFGS update SKIPPED
  At iterate     3  f =       72.592  |proj g|=        1.1719
  At iterate     4  f =       72.136  |proj g|=       0.52871
  At iterate     5  f =       72.131  |proj g|=       0.28077
  At iterate     6  f =        72.13  |proj g|=      0.012795
  At iterate     7  f =        72.13  |proj g|=    0.00029311
  At iterate     8  f =        72.13  |proj g|=      3.15e-07
  
  iterations 8
  function evaluations 26
  segments explored during Cauchy searches 11
  BFGS updates skipped 1
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 3.14997e-07
  final function value 72.1296
  
  F = 72.1296
  final  value 72.129640 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 1.069842e-08 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.936015 
    - variance bounds :  0.1069842 11.25441 
    - best initial criterion value(s) :  -529.2926 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       529.29  |proj g|=       9.9463
  At iterate     1  f =       108.79  |proj g|=        2.0144
  At iterate     2  f =       74.006  |proj g|=        1.4794
  ys=-3.219e+01  -gs= 1.948e+01, BFGS update SKIPPED
  At iterate     3  f =       73.096  |proj g|=        1.2963
  At iterate     4  f =       72.153  |proj g|=       0.96554
  At iterate     5  f =        72.13  |proj g|=      0.075789
  At iterate     6  f =        72.13  |proj g|=     0.0068989
  At iterate     7  f =        72.13  |proj g|=    4.4175e-05
  At iterate     8  f =        72.13  |proj g|=    2.5544e-08
  
  iterations 8
  function evaluations 27
  segments explored during Cauchy searches 11
  BFGS updates skipped 1
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 2.55438e-08
  final function value 72.1296
  
  F = 72.1296
  final  value 72.129640 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 1.069842e-08 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.936015 
    - variance bounds :  0.1069842 11.25441 
    - best initial criterion value(s) :  -659.2623 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       659.26  |proj g|=       10.703
  At iterate     1  f =       108.79  |proj g|=        2.0144
  At iterate     2  f =       72.286  |proj g|=        1.0679
  ys=-2.778e+00  -gs= 2.030e+01, BFGS update SKIPPED
  At iterate     3  f =       72.227  |proj g|=        1.0399
  At iterate     4  f =       72.138  |proj g|=       0.63647
  At iterate     5  f =        72.13  |proj g|=       0.11597
  At iterate     6  f =        72.13  |proj g|=     0.0058749
  At iterate     7  f =        72.13  |proj g|=    5.7888e-05
  At iterate     8  f =        72.13  |proj g|=    2.8542e-08
  
  iterations 8
  function evaluations 21
  segments explored during Cauchy searches 11
  BFGS updates skipped 1
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 2.85421e-08
  final function value 72.1296
  
  F = 72.1296
  final  value 72.129640 
  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) :  -319.5763 
  
  N = 3, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       319.58  |proj g|=       44.196
  At iterate     1  f =       316.68  |proj g|=        44.183
  At iterate     2  f =       310.38  |proj g|=        1.5574
  At iterate     3  f =       309.98  |proj g|=         2.743
  At iterate     4  f =       309.16  |proj g|=        34.148
  At iterate     5  f =       305.93  |proj g|=        44.139
  At iterate     6  f =       301.17  |proj g|=        44.138
  At iterate     7  f =       298.92  |proj g|=        44.119
  At iterate     8  f =       293.74  |proj g|=        44.055
  At iterate     9  f =       289.33  |proj g|=        27.846
  At iterate    10  f =       285.18  |proj g|=        43.883
  At iterate    11  f =       282.63  |proj g|=        43.804
  At iterate    12  f =       277.63  |proj g|=        43.652
  At iterate    13  f =       260.76  |proj g|=        17.327
  At iterate    14  f =       253.08  |proj g|=        8.8402
  At iterate    15  f =       252.56  |proj g|=        1.8419
  At iterate    16  f =       252.37  |proj g|=        1.6902
  At iterate    17  f =       252.37  |proj g|=       0.35897
  At iterate    18  f =       252.36  |proj g|=       0.20589
  At iterate    19  f =       252.36  |proj g|=       0.20616
  At iterate    20  f =       252.36  |proj g|=       0.80629
  At iterate    21  f =       252.36  |proj g|=        1.6505
  At iterate    22  f =       252.36  |proj g|=        1.6879
  At iterate    23  f =       252.35  |proj g|=        1.6883
  At iterate    24  f =       252.34  |proj g|=        1.6887
  At iterate    25  f =       252.31  |proj g|=        2.2738
  At iterate    26  f =       252.24  |proj g|=        3.6925
  At iterate    27  f =       252.09  |proj g|=         5.723
  At iterate    28  f =        251.7  |proj g|=        8.9132
  At iterate    29  f =       251.52  |proj g|=        13.039
  At iterate    30  f =       250.38  |proj g|=         16.88
  At iterate    31  f =       248.44  |proj g|=        20.763
  At iterate    32  f =       247.73  |proj g|=        20.615
  At iterate    33  f =       245.84  |proj g|=        10.732
  At iterate    34  f =       243.86  |proj g|=        2.0026
  At iterate    35  f =       243.74  |proj g|=        2.9553
  At iterate    36  f =       243.33  |proj g|=        1.7325
  At iterate    37  f =       243.27  |proj g|=       0.15312
  At iterate    38  f =       243.26  |proj g|=       0.15259
  At iterate    39  f =       243.26  |proj g|=       0.15262
  At iterate    40  f =       243.26  |proj g|=       0.01597
  At iterate    41  f =       243.26  |proj g|=     0.0025781
  
  iterations 41
  function evaluations 56
  segments explored during Cauchy searches 43
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 0
  norm of the final projected gradient 0.00257814
  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) :  -274.3651 
  
  N = 3, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       274.37  |proj g|=      0.98677
  At iterate     1  f =       260.04  |proj g|=        28.517
  At iterate     2  f =       253.35  |proj g|=        19.814
  At iterate     3  f =       246.05  |proj g|=        17.528
  At iterate     4  f =       244.06  |proj g|=        8.4097
  At iterate     5  f =       243.55  |proj g|=        1.4406
  At iterate     6  f =       243.54  |proj g|=       0.15821
  At iterate     7  f =       243.54  |proj g|=       0.49923
  At iterate     8  f =       243.53  |proj g|=       0.14907
  At iterate     9  f =       243.53  |proj g|=       0.41762
  At iterate    10  f =       243.53  |proj g|=        1.4672
  At iterate    11  f =       243.51  |proj g|=        1.7231
  At iterate    12  f =       243.48  |proj g|=        2.0257
  At iterate    13  f =       243.41  |proj g|=        3.0311
  At iterate    14  f =       243.39  |proj g|=        2.7894
  At iterate    15  f =       243.32  |proj g|=        2.7053
  At iterate    16  f =       243.27  |proj g|=        1.7281
  At iterate    17  f =       243.27  |proj g|=       0.49406
  At iterate    18  f =       243.26  |proj g|=     0.0084139
  At iterate    19  f =       243.26  |proj g|=     0.0035606
  
  iterations 19
  function evaluations 26
  segments explored during Cauchy searches 21
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 0
  norm of the final projected gradient 0.00356062
  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/th798/16119935/R-devel/844/mlr3learners.Rcheck/00check.log'
for details.

[1] "2025-03-26 01:42:08 MST"
> system(paste(c("diff -u", Rcheck.list), collapse=" "))
--- R_Under_development_unstable_2025-03-25_r88054/release_1.17.0.Rcheck/00check.log	2025-03-26 01:33:20.732726028 -0700
+++ R_Under_development_unstable_2025-03-25_r88054/master_1.17.99.77b43940971091a63baeccf65ec3b2d729dc3a57.Rcheck/00check.log	2025-03-26 01:42:08.952071127 -0700
@@ -48,8 +48,8 @@
 * 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 27.006   0.09  27.724
+                                user system elapsed
+mlr_learners_classif.cv_glmnet 27.06  0.092  27.371
 * checking for unstated dependencies in 'tests' ... OK
 * checking tests ... ERROR
   Running 'testthat.R'
@@ -71,19 +71,19 @@
   converged
   # weights:  3 (2 variable)
   initial  value 20.794415 
-  final  value 19.148758 
+  final  value 20.794415 
   converged
   # weights:  3 (2 variable)
   initial  value 20.794415 
-  final  value 19.148758 
+  final  value 20.794415 
   converged
   # weights:  3 (2 variable)
   initial  value 20.794415 
-  final  value 20.316669 
+  final  value 20.793131 
   converged
   # weights:  3 (2 variable)
   initial  value 20.794415 
-  final  value 20.316669 
+  final  value 20.793131 
   converged
   # weights:  3 (2 variable)
   initial  value 20.794415 
@@ -95,129 +95,133 @@
   converged
   # weights:  6 (5 variable)
   initial  value 20.794415 
-  iter  10 value 18.640880
-  iter  10 value 18.640880
-  iter  10 value 18.640880
-  final  value 18.640880 
+  iter  10 value 20.645474
+  iter  10 value 20.645474
+  iter  10 value 20.645474
+  final  value 20.645474 
   converged
   # weights:  6 (5 variable)
   initial  value 20.794415 
-  iter  10 value 18.640880
-  iter  10 value 18.640880
-  iter  10 value 18.640880
-  final  value 18.640880 
+  iter  10 value 20.645474
+  iter  10 value 20.645474
+  iter  10 value 20.645474
+  final  value 20.645474 
   converged
   # weights:  6 (5 variable)
   initial  value 20.794415 
-  iter  10 value 18.640880
-  iter  10 value 18.640880
-  iter  10 value 18.640880
-  final  value 18.640880 
+  iter  10 value 20.645474
+  iter  10 value 20.645474
+  iter  10 value 20.645474
+  final  value 20.645474 
   converged
   # weights:  6 (5 variable)
   initial  value 20.794415 
-  iter  10 value 18.640880
-  iter  10 value 18.640880
-  iter  10 value 18.640880
-  final  value 18.640880 
+  iter  10 value 20.645474
+  iter  10 value 20.645474
+  iter  10 value 20.645474
+  final  value 20.645474 
   converged
   # weights:  6 (5 variable)
-  initial  value 9.148298 
-  iter  10 value 7.918565
-  final  value 7.918555 
+  initial  value 11.138062 
+  iter  10 value 10.613859
+  iter  10 value 10.613859
+  iter  10 value 10.613859
+  final  value 10.613859 
   converged
   # weights:  6 (5 variable)
-  initial  value 9.148298 
-  iter  10 value 7.918565
-  final  value 7.918555 
+  initial  value 11.138062 
+  iter  10 value 10.613859
+  iter  10 value 10.613859
+  iter  10 value 10.613859
+  final  value 10.613859 
   converged
   # weights:  6 (5 variable)
   initial  value 20.794415 
-  iter  10 value 18.640880
-  iter  10 value 18.640880
-  iter  10 value 18.640880
-  final  value 18.640880 
+  iter  10 value 20.645474
+  iter  10 value 20.645474
+  iter  10 value 20.645474
+  final  value 20.645474 
   converged
   # weights:  6 (5 variable)
   initial  value 20.794415 
-  iter  10 value 18.640880
-  iter  10 value 18.640880
-  iter  10 value 18.640880
-  final  value 18.640880 
+  iter  10 value 20.645474
+  iter  10 value 20.645474
+  iter  10 value 20.645474
+  final  value 20.645474 
   converged
   # weights:  9 (4 variable)
   initial  value 32.958369 
-  final  value 32.555658 
+  final  value 30.006737 
   converged
   # weights:  9 (4 variable)
   initial  value 32.958369 
-  final  value 32.555658 
+  final  value 30.006737 
   converged
   # weights:  9 (4 variable)
   initial  value 32.958369 
-  final  value 32.504055 
+  final  value 32.807897 
   converged
   # weights:  9 (4 variable)
   initial  value 32.958369 
-  final  value 32.504055 
+  final  value 32.807897 
   converged
   # weights:  9 (4 variable)
   initial  value 32.958369 
-  final  value 32.187476 
+  final  value 30.649892 
   converged
   # weights:  9 (4 variable)
   initial  value 32.958369 
-  final  value 32.187476 
+  final  value 30.649892 
   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:  18 (10 variable)
   initial  value 32.958369 
-  iter  10 value 30.478047
-  final  value 30.465699 
+  iter  10 value 27.415252
+  final  value 27.411696 
   converged
   # weights:  18 (10 variable)
   initial  value 32.958369 
-  iter  10 value 30.478047
-  final  value 30.465699 
+  iter  10 value 27.415252
+  final  value 27.411696 
   converged
   # weights:  18 (10 variable)
   initial  value 32.958369 
-  iter  10 value 30.478047
-  final  value 30.465699 
+  iter  10 value 27.415252
+  final  value 27.411696 
   converged
   # weights:  18 (10 variable)
   initial  value 32.958369 
-  iter  10 value 30.478047
-  final  value 30.465699 
+  iter  10 value 27.415252
+  final  value 27.411696 
   converged
   # weights:  18 (10 variable)
-  initial  value 18.934777 
-  iter  10 value 16.880258
-  iter  20 value 16.825433
-  final  value 16.825431 
+  initial  value 16.570975 
+  iter  10 value 13.910784
+  iter  20 value 13.897004
+  final  value 13.897004 
   converged
   # weights:  18 (10 variable)
-  initial  value 18.934777 
-  iter  10 value 16.880258
-  iter  20 value 16.825433
-  final  value 16.825431 
+  initial  value 16.570975 
+  iter  10 value 13.910784
+  iter  20 value 13.897004
+  final  value 13.897004 
   converged
   # weights:  18 (10 variable)
   initial  value 32.958369 
-  iter  10 value 30.478047
-  final  value 30.465699 
+  iter  10 value 27.415252
+  final  value 27.411696 
   converged
   # weights:  18 (10 variable)
   initial  value 32.958369 
-  iter  10 value 30.478047
-  final  value 30.465699 
+  iter  10 value 27.415252
+  final  value 27.411696 
   converged
   # weights:  4 (3 variable)
   initial  value 138.629436 
@@ -326,35 +330,35 @@
   * trend model : ~1
   * covariance model : 
     - type :  matern5_2 
-    - nugget : 1.180945e-08 
+    - nugget : 9.170731e-09 
     - parameters lower bounds :  1e-10 1e-10 1e-10 
-    - parameters upper bounds :  4 2 1.879738 
-    - variance bounds :  0.1180945 12.84453 
-    - best initial criterion value(s) :  -5500.372 
+    - parameters upper bounds :  4 2 1.941831 
+    - variance bounds :  0.09170731 9.424858 
+    - best initial criterion value(s) :  -854.481 
   
   N = 4, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=       5500.4  |proj g|=       11.056
-  At iterate     1  f =       112.02  |proj g|=         1.771
-  At iterate     2  f =       75.795  |proj g|=         9.908
-  At iterate     3  f =       74.981  |proj g|=        1.2673
-  At iterate     4  f =       74.695  |proj g|=        1.1467
-  At iterate     5  f =       74.624  |proj g|=        1.0058
-  At iterate     6  f =       74.601  |proj g|=       0.17197
-  At iterate     7  f =         74.6  |proj g|=      0.014633
-  At iterate     8  f =         74.6  |proj g|=    0.00023814
-  At iterate     9  f =         74.6  |proj g|=    3.2317e-07
+  At iterate     0  f=       854.48  |proj g|=       8.5984
+  At iterate     1  f =       104.41  |proj g|=        2.3996
+  At iterate     2  f =       70.355  |proj g|=        1.3001
+  ys=-3.184e+01  -gs= 1.928e+01, BFGS update SKIPPED
+  At iterate     3  f =       68.702  |proj g|=       0.99517
+  At iterate     4  f =       68.286  |proj g|=       0.70474
+  At iterate     5  f =        68.28  |proj g|=       0.35866
+  At iterate     6  f =       68.278  |proj g|=      0.018779
+  At iterate     7  f =       68.278  |proj g|=    0.00046996
+  At iterate     8  f =       68.278  |proj g|=    6.3562e-07
   
-  iterations 9
-  function evaluations 26
-  segments explored during Cauchy searches 12
-  BFGS updates skipped 0
+  iterations 8
+  function evaluations 29
+  segments explored during Cauchy searches 11
+  BFGS updates skipped 1
   active bounds at final generalized Cauchy point 3
-  norm of the final projected gradient 3.23167e-07
-  final function value 74.5997
+  norm of the final projected gradient 6.35619e-07
+  final function value 68.2777
   
-  F = 74.5997
-  final  value 74.599728 
+  F = 68.2777
+  final  value 68.277658 
   converged
   
   optimisation start
@@ -365,35 +369,35 @@
   * trend model : ~1
   * covariance model : 
     - type :  matern5_2 
-    - nugget : 1.180945e-08 
+    - nugget : 9.170731e-09 
     - parameters lower bounds :  1e-10 1e-10 1e-10 
-    - parameters upper bounds :  4 2 1.879738 
-    - variance bounds :  0.1180945 12.84453 
-    - best initial criterion value(s) :  -5500.372 
+    - parameters upper bounds :  4 2 1.941831 
+    - variance bounds :  0.09170731 9.424858 
+    - best initial criterion value(s) :  -854.481 
   
   N = 4, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=       5500.4  |proj g|=       11.056
-  At iterate     1  f =       112.02  |proj g|=         1.771
-  At iterate     2  f =       75.795  |proj g|=         9.908
-  At iterate     3  f =       74.981  |proj g|=        1.2673
-  At iterate     4  f =       74.695  |proj g|=        1.1467
-  At iterate     5  f =       74.624  |proj g|=        1.0058
-  At iterate     6  f =       74.601  |proj g|=       0.17197
-  At iterate     7  f =         74.6  |proj g|=      0.014633
-  At iterate     8  f =         74.6  |proj g|=    0.00023814
-  At iterate     9  f =         74.6  |proj g|=    3.2317e-07
+  At iterate     0  f=       854.48  |proj g|=       8.5984
+  At iterate     1  f =       104.41  |proj g|=        2.3996
+  At iterate     2  f =       70.355  |proj g|=        1.3001
+  ys=-3.184e+01  -gs= 1.928e+01, BFGS update SKIPPED
+  At iterate     3  f =       68.702  |proj g|=       0.99517
+  At iterate     4  f =       68.286  |proj g|=       0.70474
+  At iterate     5  f =        68.28  |proj g|=       0.35866
+  At iterate     6  f =       68.278  |proj g|=      0.018779
+  At iterate     7  f =       68.278  |proj g|=    0.00046996
+  At iterate     8  f =       68.278  |proj g|=    6.3562e-07
   
-  iterations 9
-  function evaluations 26
-  segments explored during Cauchy searches 12
-  BFGS updates skipped 0
+  iterations 8
+  function evaluations 29
+  segments explored during Cauchy searches 11
+  BFGS updates skipped 1
   active bounds at final generalized Cauchy point 3
-  norm of the final projected gradient 3.23167e-07
-  final function value 74.5997
+  norm of the final projected gradient 6.35619e-07
+  final function value 68.2777
   
-  F = 74.5997
-  final  value 74.599728 
+  F = 68.2777
+  final  value 68.277658 
   converged
   
   optimisation start
@@ -404,37 +408,35 @@
   * trend model : ~1
   * covariance model : 
     - type :  matern5_2 
-    - nugget : 1.180945e-08 
+    - nugget : 9.170731e-09 
     - parameters lower bounds :  1e-10 1e-10 1e-10 
-    - parameters upper bounds :  4 2 1.879738 
-    - variance bounds :  0.1180945 12.84453 
-    - best initial criterion value(s) :  -75.45054 
+    - parameters upper bounds :  4 2 1.941831 
+    - variance bounds :  0.09170731 9.424858 
+    - best initial criterion value(s) :  -35230.84 
   
   N = 4, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=       75.451  |proj g|=       1.3283
-  At iterate     1  f =       74.648  |proj g|=        3.7995
-  At iterate     2  f =       74.571  |proj g|=        3.0402
-  At iterate     3  f =       74.461  |proj g|=       0.66485
-  At iterate     4  f =       74.428  |proj g|=       0.63484
-  At iterate     5  f =       74.426  |proj g|=       0.62624
-  At iterate     6  f =       74.322  |proj g|=       0.58391
-  At iterate     7  f =       74.217  |proj g|=       0.32991
-  At iterate     8  f =       74.206  |proj g|=       0.23203
-  At iterate     9  f =       74.205  |proj g|=     0.0073658
-  At iterate    10  f =       74.205  |proj g|=     0.0073582
-  At iterate    11  f =       74.205  |proj g|=    0.00053789
+  At iterate     0  f=        35231  |proj g|=       8.6558
+  At iterate     1  f =       104.41  |proj g|=        2.3996
+  At iterate     2  f =       69.684  |proj g|=        1.1905
+  ys=-2.794e+01  -gs= 1.954e+01, BFGS update SKIPPED
+  At iterate     3  f =       68.897  |proj g|=        1.0408
+  At iterate     4  f =       68.293  |proj g|=       0.83898
+  At iterate     5  f =       68.284  |proj g|=       0.62241
+  At iterate     6  f =       68.278  |proj g|=      0.042518
+  At iterate     7  f =       68.278  |proj g|=     0.0018091
+  At iterate     8  f =       68.278  |proj g|=    5.5526e-06
   
-  iterations 11
-  function evaluations 16
-  segments explored during Cauchy searches 14
-  BFGS updates skipped 0
-  active bounds at final generalized Cauchy point 0
-  norm of the final projected gradient 0.000537894
-  final function value 74.2046
+  iterations 8
+  function evaluations 30
+  segments explored during Cauchy searches 11
+  BFGS updates skipped 1
+  active bounds at final generalized Cauchy point 3
+  norm of the final projected gradient 5.5526e-06
+  final function value 68.2777
   
-  F = 74.2046
-  final  value 74.204554 
+  F = 68.2777
+  final  value 68.277658 
   converged
   
   optimisation start
@@ -445,37 +447,35 @@
   * trend model : ~1
   * covariance model : 
     - type :  matern5_2 
-    - nugget : 1.180945e-08 
+    - nugget : 9.170731e-09 
     - parameters lower bounds :  1e-10 1e-10 1e-10 
-    - parameters upper bounds :  4 2 1.879738 
-    - variance bounds :  0.1180945 12.84453 
-    - best initial criterion value(s) :  -75.45054 
+    - parameters upper bounds :  4 2 1.941831 
+    - variance bounds :  0.09170731 9.424858 
+    - best initial criterion value(s) :  -35230.84 
   
   N = 4, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=       75.451  |proj g|=       1.3283
-  At iterate     1  f =       74.648  |proj g|=        3.7995
-  At iterate     2  f =       74.571  |proj g|=        3.0402
-  At iterate     3  f =       74.461  |proj g|=       0.66485
-  At iterate     4  f =       74.428  |proj g|=       0.63484
-  At iterate     5  f =       74.426  |proj g|=       0.62624
-  At iterate     6  f =       74.322  |proj g|=       0.58391
-  At iterate     7  f =       74.217  |proj g|=       0.32991
-  At iterate     8  f =       74.206  |proj g|=       0.23203
-  At iterate     9  f =       74.205  |proj g|=     0.0073658
-  At iterate    10  f =       74.205  |proj g|=     0.0073582
-  At iterate    11  f =       74.205  |proj g|=    0.00053789
+  At iterate     0  f=        35231  |proj g|=       8.6558
+  At iterate     1  f =       104.41  |proj g|=        2.3996
+  At iterate     2  f =       69.684  |proj g|=        1.1905
+  ys=-2.794e+01  -gs= 1.954e+01, BFGS update SKIPPED
+  At iterate     3  f =       68.897  |proj g|=        1.0408
+  At iterate     4  f =       68.293  |proj g|=       0.83898
+  At iterate     5  f =       68.284  |proj g|=       0.62241
+  At iterate     6  f =       68.278  |proj g|=      0.042518
+  At iterate     7  f =       68.278  |proj g|=     0.0018091
+  At iterate     8  f =       68.278  |proj g|=    5.5526e-06
   
-  iterations 11
-  function evaluations 16
-  segments explored during Cauchy searches 14
-  BFGS updates skipped 0
-  active bounds at final generalized Cauchy point 0
-  norm of the final projected gradient 0.000537894
-  final function value 74.2046
+  iterations 8
+  function evaluations 30
+  segments explored during Cauchy searches 11
+  BFGS updates skipped 1
+  active bounds at final generalized Cauchy point 3
+  norm of the final projected gradient 5.5526e-06
+  final function value 68.2777
   
-  F = 74.2046
-  final  value 74.204554 
+  F = 68.2777
+  final  value 68.277658 
   converged
   
   optimisation start
@@ -486,33 +486,36 @@
   * trend model : ~1
   * covariance model : 
     - type :  matern5_2 
-    - nugget : 1.180945e-08 
+    - nugget : 9.170731e-09 
     - parameters lower bounds :  1e-10 1e-10 1e-10 
-    - parameters upper bounds :  4 2 1.879738 
-    - variance bounds :  0.1180945 12.84453 
-    - best initial criterion value(s) :  -83240.72 
+    - parameters upper bounds :  4 2 1.941831 
+    - variance bounds :  0.09170731 9.424858 
+    - best initial criterion value(s) :  -60112.07 
   
   N = 4, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=        83241  |proj g|=        11.14
-  At iterate     1  f =       112.02  |proj g|=         1.771
-  At iterate     2  f =       74.603  |proj g|=       0.34234
-  At iterate     3  f =         74.6  |proj g|=      0.021214
-  Nonpositive definiteness in Cholesky factorization in formk;
-     refresh the lbfgs memory and restart the iteration.
-  At iterate     4  f =         74.6  |proj g|=     0.0002335
-  At iterate     5  f =         74.6  |proj g|=    4.5975e-07
+  At iterate     0  f=        60112  |proj g|=       8.4589
+  At iterate     1  f =       104.41  |proj g|=        2.3996
+  At iterate     2  f =       68.689  |proj g|=       0.99194
+  ys=-1.282e+01  -gs= 2.002e+01, BFGS update SKIPPED
+  At iterate     3  f =        68.49  |proj g|=       0.93496
+  At iterate     4  f =       68.347  |proj g|=        2.2826
+  At iterate     5  f =       68.283  |proj g|=       0.55222
+  At iterate     6  f =       68.278  |proj g|=      0.078901
+  At iterate     7  f =       68.278  |proj g|=     0.0033218
+  At iterate     8  f =       68.278  |proj g|=    1.8973e-05
+  At iterate     9  f =       68.278  |proj g|=    4.5302e-09
   
-  iterations 5
-  function evaluations 21
-  segments explored during Cauchy searches 10
-  BFGS updates skipped 0
+  iterations 9
+  function evaluations 30
+  segments explored during Cauchy searches 12
+  BFGS updates skipped 1
   active bounds at final generalized Cauchy point 3
-  norm of the final projected gradient 4.59754e-07
-  final function value 74.5997
+  norm of the final projected gradient 4.53019e-09
+  final function value 68.2777
   
-  F = 74.5997
-  final  value 74.599728 
+  F = 68.2777
+  final  value 68.277658 
   converged
   
   optimisation start
@@ -523,35 +526,32 @@
   * trend model : ~1
   * covariance model : 
     - type :  matern5_2 
-    - nugget : 1.180945e-08 
+    - nugget : 9.170731e-09 
     - parameters lower bounds :  1e-10 1e-10 1e-10 
-    - parameters upper bounds :  4 2 1.879738 
-    - variance bounds :  0.1180945 12.84453 
-    - best initial criterion value(s) :  -1306627 
+    - parameters upper bounds :  4 2 1.941831 
+    - variance bounds :  0.09170731 9.424858 
+    - best initial criterion value(s) :  -4905.098 
   
   N = 4, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=   1.3066e+06  |proj g|=       11.033
-  At iterate     1  f =       112.02  |proj g|=         1.771
-  At iterate     2  f =       75.459  |proj g|=        1.4043
-  ys=-2.453e+01  -gs= 2.005e+01, BFGS update SKIPPED
-  At iterate     3  f =       74.762  |proj g|=        1.1816
-  At iterate     4  f =       74.607  |proj g|=        0.4991
-  At iterate     5  f =         74.6  |proj g|=       0.14057
-  At iterate     6  f =         74.6  |proj g|=     0.0067815
-  At iterate     7  f =         74.6  |proj g|=    8.6914e-05
-  At iterate     8  f =         74.6  |proj g|=    5.4614e-08
+  At iterate     0  f=       4905.1  |proj g|=       8.3728
+  At iterate     1  f =       104.41  |proj g|=        2.3996
+  At iterate     2  f =       68.367  |proj g|=        2.6359
+  At iterate     3  f =       68.278  |proj g|=       0.17105
+  At iterate     4  f =       68.278  |proj g|=      0.026678
+  At iterate     5  f =       68.278  |proj g|=    0.00033404
+  At iterate     6  f =       68.278  |proj g|=    6.4225e-07
   
-  iterations 8
-  function evaluations 34
-  segments explored during Cauchy searches 11
-  BFGS updates skipped 1
+  iterations 6
+  function evaluations 24
+  segments explored during Cauchy searches 9
+  BFGS updates skipped 0
   active bounds at final generalized Cauchy point 3
-  norm of the final projected gradient 5.46142e-08
-  final function value 74.5997
+  norm of the final projected gradient 6.42254e-07
+  final function value 68.2777
   
-  F = 74.5997
-  final  value 74.599728 
+  F = 68.2777
+  final  value 68.277658 
   converged
   
   optimisation start
@@ -566,25 +566,28 @@
     - 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) :  -334.3097 
+    - best initial criterion value(s) :  -2590.531 
   
   N = 3, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=       334.31  |proj g|=       44.178
-  At iterate     1  f =       319.24  |proj g|=       0.38642
-  At iterate     2  f =          319  |proj g|=       0.32687
-  At iterate     3  f =       318.28  |proj g|=      0.077869
-  At iterate     4  f =       318.23  |proj g|=      0.020686
-  At iterate     5  f =       318.22  |proj g|=     0.0018783
-  At iterate     6  f =       318.22  |proj g|=    5.0907e-05
-  At iterate     7  f =       318.22  |proj g|=    1.2964e-07
+  At iterate     0  f=       2590.5  |proj g|=       56.541
+  At iterate     1  f =       339.27  |proj g|=       0.32942
+  At iterate     2  f =       319.89  |proj g|=        0.2656
+  At iterate     3  f =       318.37  |proj g|=       0.12707
+  Nonpositive definiteness in Cholesky factorization in formk;
+     refresh the lbfgs memory and restart the iteration.
+  At iterate     4  f =        318.3  |proj g|=      0.091303
+  At iterate     5  f =       318.22  |proj g|=      0.011513
+  At iterate     6  f =       318.22  |proj g|=     0.0012191
+  At iterate     7  f =       318.22  |proj g|=    1.8689e-05
+  At iterate     8  f =       318.22  |proj g|=    3.0928e-08
   
-  iterations 7
-  function evaluations 9
-  segments explored during Cauchy searches 9
+  iterations 8
+  function evaluations 17
+  segments explored during Cauchy searches 12
   BFGS updates skipped 0
   active bounds at final generalized Cauchy point 2
-  norm of the final projected gradient 1.29642e-07
+  norm of the final projected gradient 3.09285e-08
   final function value 318.222
   
   F = 318.222
@@ -603,48 +606,33 @@
     - 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) :  -273.8742 
+    - best initial criterion value(s) :  -391.6756 
   
   N = 3, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=       273.87  |proj g|=       1.3782
-  At iterate     1  f =       255.17  |proj g|=        16.865
-  At iterate     2  f =       254.05  |proj g|=        14.031
-  At iterate     3  f =       249.08  |proj g|=        1.8359
-  At iterate     4  f =       248.37  |proj g|=        1.7147
-  At iterate     5  f =       248.11  |proj g|=       0.63154
-  At iterate     6  f =       248.09  |proj g|=        0.2378
-  At iterate     7  f =       248.09  |proj g|=       0.23792
-  At iterate     8  f =       248.09  |proj g|=       0.57848
-  At iterate     9  f =       248.09  |proj g|=        1.2812
-  At iterate    10  f =       248.09  |proj g|=        1.7028
-  At iterate    11  f =       248.08  |proj g|=        1.7035
-  At iterate    12  f =       248.07  |proj g|=        1.7047
-  At iterate    13  f =       248.05  |proj g|=        1.7065
-  At iterate    14  f =       247.99  |proj g|=        1.7093
-  At iterate    15  f =       247.85  |proj g|=        1.7137
-  At iterate    16  f =       247.52  |proj g|=        1.7357
-  At iterate    17  f =       246.92  |proj g|=        1.7832
-  At iterate    18  f =        246.3  |proj g|=        1.7544
-  At iterate    19  f =       244.88  |proj g|=        1.7441
-  At iterate    20  f =       243.54  |proj g|=        1.4248
-  At iterate    21  f =       243.35  |proj g|=        2.4126
-  At iterate    22  f =       243.27  |proj g|=       0.90786
-  At iterate    23  f =       243.27  |proj g|=        1.7282
-  At iterate    24  f =       243.26  |proj g|=       0.15256
-  At iterate    25  f =       243.26  |proj g|=        0.0183
-  At iterate    26  f =       243.26  |proj g|=    9.1109e-06
-  
-  iterations 26
-  function evaluations 32
-  segments explored during Cauchy searches 28
+  At iterate     0  f=       391.68  |proj g|=       5.1177
+  At iterate     1  f =       325.17  |proj g|=        0.3621
+  At iterate     2  f =       323.57  |proj g|=       0.35107
+  At iterate     3  f =       318.64  |proj g|=       0.15888
+  Nonpositive definiteness in Cholesky factorization in formk;
+     refresh the lbfgs memory and restart the iteration.
+  At iterate     4  f =       318.52  |proj g|=       0.13808
+  At iterate     5  f =       318.26  |proj g|=      0.060077
+  At iterate     6  f =       318.22  |proj g|=      0.013252
+  At iterate     7  f =       318.22  |proj g|=     0.0010047
+  At iterate     8  f =       318.22  |proj g|=    1.8562e-05
+  At iterate     9  f =       318.22  |proj g|=    2.5411e-08
+  
+  iterations 9
+  function evaluations 16
+  segments explored during Cauchy searches 12
   BFGS updates skipped 0
-  active bounds at final generalized Cauchy point 0
-  norm of the final projected gradient 9.11091e-06
-  final function value 243.264
+  active bounds at final generalized Cauchy point 2
+  norm of the final projected gradient 2.54113e-08
+  final function value 318.222
   
-  F = 243.264
-  final  value 243.264413 
+  F = 318.222
+  final  value 318.221782 
   converged
   
   optimisation start
@@ -659,29 +647,45 @@
     - 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) :  -387.0489 
+    - best initial criterion value(s) :  -250.0782 
   
   N = 3, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=       387.05  |proj g|=        3.403
-  At iterate     1  f =       318.78  |proj g|=       0.17929
-  At iterate     2  f =       318.52  |proj g|=       0.13934
-  At iterate     3  f =       318.28  |proj g|=      0.073929
-  At iterate     4  f =       318.22  |proj g|=      0.016094
-  At iterate     5  f =       318.22  |proj g|=      0.001477
-  At iterate     6  f =       318.22  |proj g|=    3.3332e-05
-  At iterate     7  f =       318.22  |proj g|=    6.7133e-08
+  At iterate     0  f=       250.08  |proj g|=       13.227
+  At iterate     1  f =       245.36  |proj g|=        1.6771
+  At iterate     2  f =       244.32  |proj g|=        1.7367
+  At iterate     3  f =       243.94  |proj g|=        1.7291
+  At iterate     4  f =       243.81  |proj g|=       0.94219
+  At iterate     5  f =       243.81  |proj g|=       0.16242
+  At iterate     6  f =       243.81  |proj g|=       0.16218
+  At iterate     7  f =       243.81  |proj g|=       0.16124
+  At iterate     8  f =       243.81  |proj g|=       0.16001
+  At iterate     9  f =       243.81  |proj g|=       0.22843
+  At iterate    10  f =       243.81  |proj g|=       0.40039
+  At iterate    11  f =       243.81  |proj g|=       0.69424
+  At iterate    12  f =        243.8  |proj g|=        1.1504
+  At iterate    13  f =       243.79  |proj g|=        1.4623
+  At iterate    14  f =       243.76  |proj g|=         1.473
+  At iterate    15  f =       243.73  |proj g|=        1.4695
+  At iterate    16  f =       243.63  |proj g|=        1.4729
+  At iterate    17  f =       243.44  |proj g|=        1.5181
+  At iterate    18  f =       243.31  |proj g|=        1.7316
+  At iterate    19  f =       243.27  |proj g|=        1.7296
+  At iterate    20  f =       243.27  |proj g|=       0.27737
+  At iterate    21  f =       243.26  |proj g|=      0.066217
+  At iterate    22  f =       243.26  |proj g|=      0.042574
+  At iterate    23  f =       243.26  |proj g|=      0.042038
   
-  iterations 7
-  function evaluations 14
-  segments explored during Cauchy searches 9
+  iterations 23
+  function evaluations 27
+  segments explored during Cauchy searches 24
   BFGS updates skipped 0
-  active bounds at final generalized Cauchy point 2
-  norm of the final projected gradient 6.71328e-08
-  final function value 318.222
+  active bounds at final generalized Cauchy point 0
+  norm of the final projected gradient 0.0420375
+  final function value 243.264
   
-  F = 318.222
-  final  value 318.221782 
+  F = 243.264
+  final  value 243.264413 
   converged
   
   optimisation start
@@ -696,32 +700,45 @@
     - 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) :  -1400.427 
+    - best initial criterion value(s) :  -267.6872 
   
   N = 3, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=       1400.4  |proj g|=       50.683
-  At iterate     1  f =        330.6  |proj g|=       0.36401
-  At iterate     2  f =       318.96  |proj g|=       0.19932
-  At iterate     3  f =        318.3  |proj g|=      0.074725
-  Nonpositive definiteness in Cholesky factorization in formk;
-     refresh the lbfgs memory and restart the iteration.
-  At iterate     4  f =       318.27  |proj g|=      0.061532
-  At iterate     5  f =       318.22  |proj g|=     0.0081399
-  At iterate     6  f =       318.22  |proj g|=    0.00075086
-  At iterate     7  f =       318.22  |proj g|=     8.211e-06
-  At iterate     8  f =       318.22  |proj g|=    8.3973e-09
+  At iterate     0  f=       267.69  |proj g|=       30.525
+  At iterate     1  f =       252.74  |proj g|=         1.882
+  At iterate     2  f =       252.54  |proj g|=        1.8514
+  At iterate     3  f =       252.51  |proj g|=       0.20275
+  At iterate     4  f =       252.51  |proj g|=       0.20501
+  At iterate     5  f =       252.51  |proj g|=       0.20485
+  At iterate     6  f =       252.51  |proj g|=       0.20469
+  At iterate     7  f =        252.5  |proj g|=         1.599
+  At iterate     8  f =       252.49  |proj g|=        1.6889
+  At iterate     9  f =       252.47  |proj g|=        1.6907
+  At iterate    10  f =        252.4  |proj g|=        1.8363
+  At iterate    11  f =       252.39  |proj g|=        1.6957
+  At iterate    12  f =       252.22  |proj g|=        1.8664
+  At iterate    13  f =       251.33  |proj g|=         1.906
+  At iterate    14  f =       249.12  |proj g|=        1.9078
+  At iterate    15  f =       248.04  |proj g|=         1.856
+  At iterate    16  f =       245.54  |proj g|=        1.6474
+  At iterate    17  f =       245.27  |proj g|=        1.5766
+  At iterate    18  f =       244.71  |proj g|=        13.792
+  At iterate    19  f =       243.29  |proj g|=         1.728
+  At iterate    20  f =       243.27  |proj g|=       0.22187
+  At iterate    21  f =       243.26  |proj g|=      0.057789
+  At iterate    22  f =       243.26  |proj g|=      0.014242
+  At iterate    23  f =       243.26  |proj g|=     0.0025182
   
-  iterations 8
-  function evaluations 22
-  segments explored during Cauchy searches 12
+  iterations 23
+  function evaluations 34
+  segments explored during Cauchy searches 24
   BFGS updates skipped 0
-  active bounds at final generalized Cauchy point 2
-  norm of the final projected gradient 8.39734e-09
-  final function value 318.222
+  active bounds at final generalized Cauchy point 0
+  norm of the final projected gradient 0.00251825
+  final function value 243.264
   
-  F = 318.222
-  final  value 318.221782 
+  F = 243.264
+  final  value 243.264413 
   converged
   
   optimisation start
@@ -732,35 +749,33 @@
   * trend model : ~1
   * covariance model : 
     - type :  matern5_2 
-    - nugget : 7.181909e-09 
+    - nugget : 1.069842e-08 
     - parameters lower bounds :  1e-10 1e-10 1e-10 
-    - parameters upper bounds :  4 2 1.91133 
-    - variance bounds :  0.06929928 7.181909 
-    - best initial criterion value(s) :  -75.86952 
+    - parameters upper bounds :  4 2 1.936015 
+    - variance bounds :  0.1069842 11.25441 
+    - best initial criterion value(s) :  -3210.703 
   
   N = 4, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=        75.87  |proj g|=        6.663
-  At iterate     1  f =        74.91  |proj g|=        2.5013
-  At iterate     2  f =       64.758  |proj g|=        1.0826
-  ys=-2.971e+00  -gs= 9.007e+00, BFGS update SKIPPED
-  At iterate     3  f =       62.516  |proj g|=       0.76675
-  At iterate     4  f =       62.172  |proj g|=       0.64967
-  At iterate     5  f =       62.167  |proj g|=        0.3242
-  At iterate     6  f =       62.166  |proj g|=      0.013771
-  At iterate     7  f =       62.166  |proj g|=    0.00024603
-  At iterate     8  f =       62.166  |proj g|=    1.9096e-07
+  At iterate     0  f=       3210.7  |proj g|=       9.7311
+  At iterate     1  f =       108.79  |proj g|=        2.0144
+  At iterate     2  f =       72.364  |proj g|=        3.9038
+  At iterate     3  f =       72.141  |proj g|=       0.69344
+  At iterate     4  f =        72.13  |proj g|=        0.1727
+  At iterate     5  f =        72.13  |proj g|=      0.011053
+  At iterate     6  f =        72.13  |proj g|=    0.00016287
+  At iterate     7  f =        72.13  |proj g|=    1.5081e-07
   
-  iterations 8
-  function evaluations 12
-  segments explored during Cauchy searches 11
-  BFGS updates skipped 1
-  active bounds at final generalized Cauchy point 1
-  norm of the final projected gradient 1.90961e-07
-  final function value 62.1664
+  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 1.5081e-07
+  final function value 72.1296
   
-  F = 62.1664
-  final  value 62.166363 
+  F = 72.1296
+  final  value 72.129640 
   converged
   
   optimisation start
@@ -771,35 +786,33 @@
   * trend model : ~1
   * covariance model : 
     - type :  matern5_2 
-    - nugget : 7.181909e-09 
+    - nugget : 1.069842e-08 
     - parameters lower bounds :  1e-10 1e-10 1e-10 
-    - parameters upper bounds :  4 2 1.91133 
-    - variance bounds :  0.06929928 7.181909 
-    - best initial criterion value(s) :  -75.86952 
+    - parameters upper bounds :  4 2 1.936015 
+    - variance bounds :  0.1069842 11.25441 
+    - best initial criterion value(s) :  -3210.703 
   
   N = 4, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=        75.87  |proj g|=        6.663
-  At iterate     1  f =        74.91  |proj g|=        2.5013
-  At iterate     2  f =       64.758  |proj g|=        1.0826
-  ys=-2.971e+00  -gs= 9.007e+00, BFGS update SKIPPED
-  At iterate     3  f =       62.516  |proj g|=       0.76675
-  At iterate     4  f =       62.172  |proj g|=       0.64967
-  At iterate     5  f =       62.167  |proj g|=        0.3242
-  At iterate     6  f =       62.166  |proj g|=      0.013771
-  At iterate     7  f =       62.166  |proj g|=    0.00024603
-  At iterate     8  f =       62.166  |proj g|=    1.9096e-07
+  At iterate     0  f=       3210.7  |proj g|=       9.7311
+  At iterate     1  f =       108.79  |proj g|=        2.0144
+  At iterate     2  f =       72.364  |proj g|=        3.9038
+  At iterate     3  f =       72.141  |proj g|=       0.69344
+  At iterate     4  f =        72.13  |proj g|=        0.1727
+  At iterate     5  f =        72.13  |proj g|=      0.011053
+  At iterate     6  f =        72.13  |proj g|=    0.00016287
+  At iterate     7  f =        72.13  |proj g|=    1.5081e-07
   
-  iterations 8
-  function evaluations 12
-  segments explored during Cauchy searches 11
-  BFGS updates skipped 1
-  active bounds at final generalized Cauchy point 1
-  norm of the final projected gradient 1.90961e-07
-  final function value 62.1664
+  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 1.5081e-07
+  final function value 72.1296
   
-  F = 62.1664
-  final  value 62.166363 
+  F = 72.1296
+  final  value 72.129640 
   converged
   
   optimisation start
@@ -810,36 +823,35 @@
   * trend model : ~1
   * covariance model : 
     - type :  matern5_2 
-    - nugget : 7.181909e-09 
+    - nugget : 1.069842e-08 
     - parameters lower bounds :  1e-10 1e-10 1e-10 
-    - parameters upper bounds :  4 2 1.91133 
-    - variance bounds :  0.06929928 7.181909 
-    - best initial criterion value(s) :  -2316.035 
+    - parameters upper bounds :  4 2 1.936015 
+    - variance bounds :  0.1069842 11.25441 
+    - best initial criterion value(s) :  -3250.043 
   
   N = 4, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=         2316  |proj g|=       6.6411
-  At iterate     1  f =       97.686  |proj g|=        3.1398
-  At iterate     2  f =       63.712  |proj g|=        0.9532
-  ys=-2.760e+01  -gs= 1.934e+01, BFGS update SKIPPED
-  At iterate     3  f =       62.966  |proj g|=       0.84726
-  At iterate     4  f =       62.193  |proj g|=       0.66807
-  At iterate     5  f =       62.182  |proj g|=         1.308
-  At iterate     6  f =       62.166  |proj g|=       0.11606
-  At iterate     7  f =       62.166  |proj g|=     0.0078943
-  At iterate     8  f =       62.166  |proj g|=    5.2043e-05
-  At iterate     9  f =       62.166  |proj g|=    2.3146e-08
+  At iterate     0  f=         3250  |proj g|=       9.6427
+  At iterate     1  f =       108.79  |proj g|=        2.0144
+  At iterate     2  f =       73.396  |proj g|=        1.3603
+  ys=-2.788e+01  -gs= 1.972e+01, BFGS update SKIPPED
+  At iterate     3  f =       72.592  |proj g|=        1.1719
+  At iterate     4  f =       72.136  |proj g|=       0.52871
+  At iterate     5  f =       72.131  |proj g|=       0.28077
+  At iterate     6  f =        72.13  |proj g|=      0.012795
+  At iterate     7  f =        72.13  |proj g|=    0.00029311
+  At iterate     8  f =        72.13  |proj g|=      3.15e-07
   
-  iterations 9
-  function evaluations 27
-  segments explored during Cauchy searches 12
+  iterations 8
+  function evaluations 26
+  segments explored during Cauchy searches 11
   BFGS updates skipped 1
   active bounds at final generalized Cauchy point 3
-  norm of the final projected gradient 2.31459e-08
-  final function value 62.1664
+  norm of the final projected gradient 3.14997e-07
+  final function value 72.1296
   
-  F = 62.1664
-  final  value 62.166363 
+  F = 72.1296
+  final  value 72.129640 
   converged
   
   optimisation start
@@ -850,36 +862,35 @@
   * trend model : ~1
   * covariance model : 
     - type :  matern5_2 
-    - nugget : 7.181909e-09 
+    - nugget : 1.069842e-08 
     - parameters lower bounds :  1e-10 1e-10 1e-10 
-    - parameters upper bounds :  4 2 1.91133 
-    - variance bounds :  0.06929928 7.181909 
-    - best initial criterion value(s) :  -2316.035 
+    - parameters upper bounds :  4 2 1.936015 
+    - variance bounds :  0.1069842 11.25441 
+    - best initial criterion value(s) :  -3250.043 
   
   N = 4, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=         2316  |proj g|=       6.6411
-  At iterate     1  f =       97.686  |proj g|=        3.1398
-  At iterate     2  f =       63.712  |proj g|=        0.9532
-  ys=-2.760e+01  -gs= 1.934e+01, BFGS update SKIPPED
-  At iterate     3  f =       62.966  |proj g|=       0.84726
-  At iterate     4  f =       62.193  |proj g|=       0.66807
-  At iterate     5  f =       62.182  |proj g|=         1.308
-  At iterate     6  f =       62.166  |proj g|=       0.11606
-  At iterate     7  f =       62.166  |proj g|=     0.0078943
-  At iterate     8  f =       62.166  |proj g|=    5.2043e-05
-  At iterate     9  f =       62.166  |proj g|=    2.3146e-08
+  At iterate     0  f=         3250  |proj g|=       9.6427
+  At iterate     1  f =       108.79  |proj g|=        2.0144
+  At iterate     2  f =       73.396  |proj g|=        1.3603
+  ys=-2.788e+01  -gs= 1.972e+01, BFGS update SKIPPED
+  At iterate     3  f =       72.592  |proj g|=        1.1719
+  At iterate     4  f =       72.136  |proj g|=       0.52871
+  At iterate     5  f =       72.131  |proj g|=       0.28077
+  At iterate     6  f =        72.13  |proj g|=      0.012795
+  At iterate     7  f =        72.13  |proj g|=    0.00029311
+  At iterate     8  f =        72.13  |proj g|=      3.15e-07
   
-  iterations 9
-  function evaluations 27
-  segments explored during Cauchy searches 12
+  iterations 8
+  function evaluations 26
+  segments explored during Cauchy searches 11
   BFGS updates skipped 1
   active bounds at final generalized Cauchy point 3
-  norm of the final projected gradient 2.31459e-08
-  final function value 62.1664
+  norm of the final projected gradient 3.14997e-07
+  final function value 72.1296
   
-  F = 62.1664
-  final  value 62.166363 
+  F = 72.1296
+  final  value 72.129640 
   converged
   
   optimisation start
@@ -890,32 +901,35 @@
   * trend model : ~1
   * covariance model : 
     - type :  matern5_2 
-    - nugget : 7.181909e-09 
+    - nugget : 1.069842e-08 
     - parameters lower bounds :  1e-10 1e-10 1e-10 
-    - parameters upper bounds :  4 2 1.91133 
-    - variance bounds :  0.06929928 7.181909 
-    - best initial criterion value(s) :  -7903.113 
+    - parameters upper bounds :  4 2 1.936015 
+    - variance bounds :  0.1069842 11.25441 
+    - best initial criterion value(s) :  -529.2926 
   
   N = 4, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=       7903.1  |proj g|=       6.5189
-  At iterate     1  f =       97.686  |proj g|=        3.1398
-  At iterate     2  f =       62.238  |proj g|=        2.9633
-  At iterate     3  f =       62.167  |proj g|=       0.12752
-  At iterate     4  f =       62.166  |proj g|=      0.017809
-  At iterate     5  f =       62.166  |proj g|=     0.0001292
-  At iterate     6  f =       62.166  |proj g|=    1.2972e-07
+  At iterate     0  f=       529.29  |proj g|=       9.9463
+  At iterate     1  f =       108.79  |proj g|=        2.0144
+  At iterate     2  f =       74.006  |proj g|=        1.4794
+  ys=-3.219e+01  -gs= 1.948e+01, BFGS update SKIPPED
+  At iterate     3  f =       73.096  |proj g|=        1.2963
+  At iterate     4  f =       72.153  |proj g|=       0.96554
+  At iterate     5  f =        72.13  |proj g|=      0.075789
+  At iterate     6  f =        72.13  |proj g|=     0.0068989
+  At iterate     7  f =        72.13  |proj g|=    4.4175e-05
+  At iterate     8  f =        72.13  |proj g|=    2.5544e-08
   
-  iterations 6
-  function evaluations 23
-  segments explored during Cauchy searches 9
-  BFGS updates skipped 0
+  iterations 8
+  function evaluations 27
+  segments explored during Cauchy searches 11
+  BFGS updates skipped 1
   active bounds at final generalized Cauchy point 3
-  norm of the final projected gradient 1.29719e-07
-  final function value 62.1664
+  norm of the final projected gradient 2.55438e-08
+  final function value 72.1296
   
-  F = 62.1664
-  final  value 62.166363 
+  F = 72.1296
+  final  value 72.129640 
   converged
   
   optimisation start
@@ -926,34 +940,35 @@
   * trend model : ~1
   * covariance model : 
     - type :  matern5_2 
-    - nugget : 7.181909e-09 
+    - nugget : 1.069842e-08 
     - parameters lower bounds :  1e-10 1e-10 1e-10 
-    - parameters upper bounds :  4 2 1.91133 
-    - variance bounds :  0.06929928 7.181909 
-    - best initial criterion value(s) :  -1693.448 
+    - parameters upper bounds :  4 2 1.936015 
+    - variance bounds :  0.1069842 11.25441 
+    - best initial criterion value(s) :  -659.2623 
   
   N = 4, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=       1693.4  |proj g|=       6.5079
-  At iterate     1  f =       97.686  |proj g|=        3.1398
-  At iterate     2  f =       62.986  |proj g|=        6.6314
-  At iterate     3  f =       62.313  |proj g|=       0.71654
-  At iterate     4  f =       62.192  |proj g|=       0.66761
-  At iterate     5  f =       62.168  |proj g|=       0.43345
-  At iterate     6  f =       62.166  |proj g|=      0.040361
-  At iterate     7  f =       62.166  |proj g|=    0.00095865
-  At iterate     8  f =       62.166  |proj g|=     2.185e-06
+  At iterate     0  f=       659.26  |proj g|=       10.703
+  At iterate     1  f =       108.79  |proj g|=        2.0144
+  At iterate     2  f =       72.286  |proj g|=        1.0679
+  ys=-2.778e+00  -gs= 2.030e+01, BFGS update SKIPPED
+  At iterate     3  f =       72.227  |proj g|=        1.0399
+  At iterate     4  f =       72.138  |proj g|=       0.63647
+  At iterate     5  f =        72.13  |proj g|=       0.11597
+  At iterate     6  f =        72.13  |proj g|=     0.0058749
+  At iterate     7  f =        72.13  |proj g|=    5.7888e-05
+  At iterate     8  f =        72.13  |proj g|=    2.8542e-08
   
   iterations 8
-  function evaluations 23
+  function evaluations 21
   segments explored during Cauchy searches 11
-  BFGS updates skipped 0
+  BFGS updates skipped 1
   active bounds at final generalized Cauchy point 3
-  norm of the final projected gradient 2.18496e-06
-  final function value 62.1664
+  norm of the final projected gradient 2.85421e-08
+  final function value 72.1296
   
-  F = 62.1664
-  final  value 62.166363 
+  F = 72.1296
+  final  value 72.129640 
   converged
   
   optimisation start
@@ -968,27 +983,63 @@
     - 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) :  -3032.279 
+    - best initial criterion value(s) :  -319.5763 
   
   N = 3, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=       3032.3  |proj g|=       76.221
-  At iterate     1  f =       343.68  |proj g|=       0.30746
-  At iterate     2  f =       318.28  |proj g|=      0.065323
-  At iterate     3  f =       318.22  |proj g|=      0.001885
-  At iterate     4  f =       318.22  |proj g|=    0.00018944
-  At iterate     5  f =       318.22  |proj g|=    4.8715e-07
-  
-  iterations 5
-  function evaluations 15
-  segments explored during Cauchy searches 7
+  At iterate     0  f=       319.58  |proj g|=       44.196
+  At iterate     1  f =       316.68  |proj g|=        44.183
+  At iterate     2  f =       310.38  |proj g|=        1.5574
+  At iterate     3  f =       309.98  |proj g|=         2.743
+  At iterate     4  f =       309.16  |proj g|=        34.148
+  At iterate     5  f =       305.93  |proj g|=        44.139
+  At iterate     6  f =       301.17  |proj g|=        44.138
+  At iterate     7  f =       298.92  |proj g|=        44.119
+  At iterate     8  f =       293.74  |proj g|=        44.055
+  At iterate     9  f =       289.33  |proj g|=        27.846
+  At iterate    10  f =       285.18  |proj g|=        43.883
+  At iterate    11  f =       282.63  |proj g|=        43.804
+  At iterate    12  f =       277.63  |proj g|=        43.652
+  At iterate    13  f =       260.76  |proj g|=        17.327
+  At iterate    14  f =       253.08  |proj g|=        8.8402
+  At iterate    15  f =       252.56  |proj g|=        1.8419
+  At iterate    16  f =       252.37  |proj g|=        1.6902
+  At iterate    17  f =       252.37  |proj g|=       0.35897
+  At iterate    18  f =       252.36  |proj g|=       0.20589
+  At iterate    19  f =       252.36  |proj g|=       0.20616
+  At iterate    20  f =       252.36  |proj g|=       0.80629
+  At iterate    21  f =       252.36  |proj g|=        1.6505
+  At iterate    22  f =       252.36  |proj g|=        1.6879
+  At iterate    23  f =       252.35  |proj g|=        1.6883
+  At iterate    24  f =       252.34  |proj g|=        1.6887
+  At iterate    25  f =       252.31  |proj g|=        2.2738
+  At iterate    26  f =       252.24  |proj g|=        3.6925
+  At iterate    27  f =       252.09  |proj g|=         5.723
+  At iterate    28  f =        251.7  |proj g|=        8.9132
+  At iterate    29  f =       251.52  |proj g|=        13.039
+  At iterate    30  f =       250.38  |proj g|=         16.88
+  At iterate    31  f =       248.44  |proj g|=        20.763
+  At iterate    32  f =       247.73  |proj g|=        20.615
+  At iterate    33  f =       245.84  |proj g|=        10.732
+  At iterate    34  f =       243.86  |proj g|=        2.0026
+  At iterate    35  f =       243.74  |proj g|=        2.9553
+  At iterate    36  f =       243.33  |proj g|=        1.7325
+  At iterate    37  f =       243.27  |proj g|=       0.15312
+  At iterate    38  f =       243.26  |proj g|=       0.15259
+  At iterate    39  f =       243.26  |proj g|=       0.15262
+  At iterate    40  f =       243.26  |proj g|=       0.01597
+  At iterate    41  f =       243.26  |proj g|=     0.0025781
+  
+  iterations 41
+  function evaluations 56
+  segments explored during Cauchy searches 43
   BFGS updates skipped 0
-  active bounds at final generalized Cauchy point 2
-  norm of the final projected gradient 4.87149e-07
-  final function value 318.222
+  active bounds at final generalized Cauchy point 0
+  norm of the final projected gradient 0.00257814
+  final function value 243.264
   
-  F = 318.222
-  final  value 318.221782 
+  F = 243.264
+  final  value 243.264413 
   converged
   
   optimisation start
@@ -1003,47 +1054,37 @@
     - 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) :  -280.0047 
+    - best initial criterion value(s) :  -274.3651 
   
   N = 3, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=          280  |proj g|=         5.38
-  At iterate     1  f =       261.14  |proj g|=        1.8409
-  At iterate     2  f =       260.91  |proj g|=        1.8395
-  At iterate     3  f =       260.56  |proj g|=        1.8362
-  At iterate     4  f =        260.2  |proj g|=        1.2955
-  At iterate     5  f =       259.24  |proj g|=         1.824
-  At iterate     6  f =          259  |proj g|=        2.6306
-  At iterate     7  f =       257.75  |proj g|=        5.3974
-  At iterate     8  f =       256.26  |proj g|=        9.4715
-  At iterate     9  f =       251.65  |proj g|=        22.363
-  At iterate    10  f =       245.65  |proj g|=        4.3094
-  At iterate    11  f =       245.42  |proj g|=        1.5442
-  At iterate    12  f =       245.39  |proj g|=       0.70507
-  At iterate    13  f =       245.39  |proj g|=       0.22999
-  At iterate    14  f =       245.39  |proj g|=       0.22905
-  At iterate    15  f =       245.39  |proj g|=       0.22793
-  At iterate    16  f =       245.39  |proj g|=       0.35111
-  At iterate    17  f =       245.39  |proj g|=        0.6113
-  At iterate    18  f =       245.38  |proj g|=        1.0728
-  At iterate    19  f =       245.36  |proj g|=        1.5475
-  At iterate    20  f =       245.32  |proj g|=        1.5616
-  At iterate    21  f =       245.22  |proj g|=        1.5805
-  At iterate    22  f =          245  |proj g|=        1.5968
-  At iterate    23  f =       244.63  |proj g|=        1.6103
-  At iterate    24  f =       244.44  |proj g|=         1.547
-  At iterate    25  f =       243.67  |proj g|=        1.4918
-  At iterate    26  f =       243.27  |proj g|=       0.30411
-  At iterate    27  f =       243.26  |proj g|=       0.15257
-  At iterate    28  f =       243.26  |proj g|=     0.0068824
-  At iterate    29  f =       243.26  |proj g|=    0.00033684
-  
-  iterations 29
-  function evaluations 40
-  segments explored during Cauchy searches 31
+  At iterate     0  f=       274.37  |proj g|=      0.98677
+  At iterate     1  f =       260.04  |proj g|=        28.517
+  At iterate     2  f =       253.35  |proj g|=        19.814
+  At iterate     3  f =       246.05  |proj g|=        17.528
+  At iterate     4  f =       244.06  |proj g|=        8.4097
+  At iterate     5  f =       243.55  |proj g|=        1.4406
+  At iterate     6  f =       243.54  |proj g|=       0.15821
+  At iterate     7  f =       243.54  |proj g|=       0.49923
+  At iterate     8  f =       243.53  |proj g|=       0.14907
+  At iterate     9  f =       243.53  |proj g|=       0.41762
+  At iterate    10  f =       243.53  |proj g|=        1.4672
+  At iterate    11  f =       243.51  |proj g|=        1.7231
+  At iterate    12  f =       243.48  |proj g|=        2.0257
+  At iterate    13  f =       243.41  |proj g|=        3.0311
+  At iterate    14  f =       243.39  |proj g|=        2.7894
+  At iterate    15  f =       243.32  |proj g|=        2.7053
+  At iterate    16  f =       243.27  |proj g|=        1.7281
+  At iterate    17  f =       243.27  |proj g|=       0.49406
+  At iterate    18  f =       243.26  |proj g|=     0.0084139
+  At iterate    19  f =       243.26  |proj g|=     0.0035606
+  
+  iterations 19
+  function evaluations 26
+  segments explored during Cauchy searches 21
   BFGS updates skipped 0
   active bounds at final generalized Cauchy point 0
-  norm of the final projected gradient 0.000336836
+  norm of the final projected gradient 0.00356062
   final function value 243.264
   
   F = 243.264
> library(data.table, lib.loc=R.home("library"))
> (sig.diff.dt <- myDiff(Rvers))
Key: <checking>
Empty data.table (0 rows and 3 cols): checking,master,release
> 
> ## If there are significant differences, use git bisect to find when
> ## they started.
> if(nrow(sig.diff.dt)){
+   dt.git <- file.path(task.dir, "data.table.git")
+   system(paste("cd ~/R/data.table && git fetch --tags"))
+   system(paste("git clone ~/R/data.table", dt.git))
+   release.tag <- gsub(".tar.gz|.*_", "", cargs[["release"]])
+   rev.parse.cmd <- paste(
+     "cd", dt.git, "&& git rev-parse master")
+   master.sha <- system(rev.parse.cmd, intern=TRUE)
+   merge.base.cmd <- paste(
+     "cd", dt.git, "&& git merge-base master", release.tag)
+   merge.base.sha <- system(merge.base.cmd, intern=TRUE)
+   old.sha <- merge.base.sha
+   run_R <- file.path(proj.dir, "install_dt_then_check_dep.R")
+   sig.diff.dt[, first.bad.commit := NA_character_]
+   sig.diff.dt[, comments := NA_character_]
+   for(diff.i in 1:nrow(sig.diff.dt)){
+     sig.diff.row <- sig.diff.dt[diff.i]
+     bisect.cmd <- paste(
+       "cd", dt.git, "&&",
+       "git bisect start &&",
+       "git bisect old", old.sha, "&&",
+       "git bisect new master &&",
+       "git bisect run",
+       R.home('bin/Rscript'),
+       run_R,
+       shQuote(sig.diff.row$checking),
+       sig.diff.row$release,
+       rev.dep.release.tar.gz,
+       release.tag)
+     print(bisect.cmd)
+     bisect.out <- system(bisect.cmd, intern=TRUE)
+     cat(bisect.out,sep="\n")
+     if(is.null(attr(bisect.out,"status"))){
+       first.bad.sha <- nc::capture_all_str(
+         bisect.out,
+         sha="[0-9a-f]+",
+         " is the first new commit")$sha
+       parent.cmd <- paste(
+         "cd ~/R/data.table && git log --pretty=%P -n 1",
+         first.bad.sha)
+       parent.sha <- system(parent.cmd, intern=TRUE)
+       sig.diff.dt[diff.i, first.bad.commit := first.bad.sha]
+       parent.msg <- paste0("parent=", parent.sha)
+       this.comment <- if(parent.sha==old.sha){
+         paste(parent.msg, "same as git bisect old")
+       }else if(first.bad.sha==master.sha){
+         paste("same as git bisect new=master,", parent.msg)
+       }else{
+         parent.msg
+       }
+       sig.diff.dt[diff.i, comments := this.comment]
+     }
+   }
+   ## add CRAN column.
+   sig.diff.dt[, CRAN := {
+     flavor <- get_flavor(Rvers)
+     details <- data.table(flavor=unique(flavor))[, {
+       base <- "https://www.r-project.org/nosvn/R.check/"
+       u <- paste0(base, flavor, "/", rev.dep, "-00check.txt")
+       check.txt <- tempfile()
+       tryCatch({
+         download.file(u, check.txt, quiet=TRUE)
+       }, error=function(e){
+         NULL
+       })
+       check.lines <- if(file.exists(check.txt)){
+         readLines(check.txt,encoding="UTF-8")
+       }else{
+         ""
+       }
+       repl.lines <- gsub("[\u2018\u2019]", "'", check.lines)
+       ##gsub("[‘’]", "'", check.lines) does not work with LC_ALL=C.
+       myStatus(line.vec=repl.lines)
+     }, by=flavor]
+     select.dt <- data.table(flavor, checking)
+     details[select.dt, msg, on=.(flavor, checking)]
+   }]
+   dir.create(file.path(job.dir, Rvers))
+   diffs.csv <- file.path(job.dir, Rvers, "significant_differences.csv")
+   data.table::fwrite(sig.diff.dt, diffs.csv)
+   print(sig.diff.dt)
+ }
> 
WARNING: ignoring environment value of R_HOME

R version 4.4.3 (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/2025-03-26/deps.csv", 
task.str = "844", release = "/scratch/th798/data.table-revdeps/2025-03-26/data.table_release_1.17.0.tar.gz", 
master = "/scratch/th798/data.table-revdeps/2025-03-26/data.table_master_1.17.99.77b43940971091a63baeccf65ec3b2d729dc3a57.tar.gz"
)
> (task.dir <- dirname(.libPaths()[1]))#should be /tmp/th798/slurmid/R-vers
[1] "/tmp/th798/16119935/R-release/844"
> if(requireNamespace("R.cache"))R.cache::getCachePath()
Loading required namespace: R.cache
[1] "/tmp/th798/16119935/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/th798/16119935/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] "2025-03-26 01:42:14 MST"
> install.time <- system.time({
+   install.packages(rev.dep, dep=TRUE)
+ })
Installing package into '/tmp/th798/16119935/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/th798/16119935/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/th798/16119935/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/th798/16119935/Rtmpk39DKL/downloaded_packages'
> cat("Time to install revdep:\n")
Time to install revdep:
> print(install.time)
   user  system elapsed 
 56.532   2.611  69.033 
> print(Sys.time())
[1] "2025-03-26 01:43:23 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] "2025-03-26 01:43:23 MST"
Installing package into '/tmp/th798/16119935/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/th798/16119935/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] "2025-03-26 01:43:47 MST"
* using log directory '/tmp/th798/16119935/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 20.794415 
  converged
  # weights:  3 (2 variable)
  initial  value 20.794415 
  final  value 20.794415 
  converged
  # weights:  3 (2 variable)
  initial  value 20.794415 
  final  value 20.540464 
  converged
  # weights:  3 (2 variable)
  initial  value 20.794415 
  final  value 20.540464 
  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 
  iter  10 value 18.195121
  final  value 18.195094 
  converged
  # weights:  6 (5 variable)
  initial  value 20.794415 
  iter  10 value 18.195121
  final  value 18.195094 
  converged
  # weights:  6 (5 variable)
  initial  value 20.794415 
  iter  10 value 18.195121
  final  value 18.195094 
  converged
  # weights:  6 (5 variable)
  initial  value 20.794415 
  iter  10 value 18.195121
  final  value 18.195094 
  converged
  # weights:  6 (5 variable)
  initial  value 10.316224 
  iter  10 value 9.397863
  final  value 9.397858 
  converged
  # weights:  6 (5 variable)
  initial  value 10.316224 
  iter  10 value 9.397863
  final  value 9.397858 
  converged
  # weights:  6 (5 variable)
  initial  value 20.794415 
  iter  10 value 18.195121
  final  value 18.195094 
  converged
  # weights:  6 (5 variable)
  initial  value 20.794415 
  iter  10 value 18.195121
  final  value 18.195094 
  converged
  # weights:  9 (4 variable)
  initial  value 32.958369 
  final  value 32.958369 
  converged
  # weights:  9 (4 variable)
  initial  value 32.958369 
  final  value 32.958369 
  converged
  # weights:  9 (4 variable)
  initial  value 32.958369 
  final  value 32.350660 
  converged
  # weights:  9 (4 variable)
  initial  value 32.958369 
  final  value 32.350660 
  converged
  # weights:  9 (4 variable)
  initial  value 32.958369 
  iter  10 value 31.900428
  iter  10 value 31.900428
  final  value 31.900428 
  converged
  # weights:  9 (4 variable)
  initial  value 32.958369 
  iter  10 value 31.900428
  iter  10 value 31.900428
  final  value 31.900428 
  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:  18 (10 variable)
  initial  value 32.958369 
  iter  10 value 31.141276
  final  value 31.139398 
  converged
  # weights:  18 (10 variable)
  initial  value 32.958369 
  iter  10 value 31.141276
  final  value 31.139398 
  converged
  # weights:  18 (10 variable)
  initial  value 32.958369 
  iter  10 value 31.141276
  final  value 31.139398 
  converged
  # weights:  18 (10 variable)
  initial  value 32.958369 
  iter  10 value 31.141276
  final  value 31.139398 
  converged
  # weights:  18 (10 variable)
  initial  value 19.119058 
  iter  10 value 17.525378
  iter  20 value 17.503011
  iter  20 value 17.503011
  iter  20 value 17.503011
  final  value 17.503011 
  converged
  # weights:  18 (10 variable)
  initial  value 19.119058 
  iter  10 value 17.525378
  iter  20 value 17.503011
  iter  20 value 17.503011
  iter  20 value 17.503011
  final  value 17.503011 
  converged
  # weights:  18 (10 variable)
  initial  value 32.958369 
  iter  10 value 31.141276
  final  value 31.139398 
  converged
  # weights:  18 (10 variable)
  initial  value 32.958369 
  iter  10 value 31.141276
  final  value 31.139398 
  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 : 1.265805e-08 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.95977 
    - variance bounds :  0.1265805 13.31636 
    - best initial criterion value(s) :  -127.3602 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       127.36  |proj g|=       11.737
  At iterate     1  f =          113  |proj g|=        1.7025
  At iterate     2  f =        76.35  |proj g|=       0.67906
  At iterate     3  f =       76.335  |proj g|=      0.056152
  At iterate     4  f =       76.335  |proj g|=     0.0041673
  At iterate     5  f =       76.335  |proj g|=    2.3373e-05
  At iterate     6  f =       76.335  |proj g|=    9.6611e-09
  
  iterations 6
  function evaluations 17
  segments explored during Cauchy searches 10
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 2
  norm of the final projected gradient 9.66114e-09
  final function value 76.3346
  
  F = 76.3346
  final  value 76.334560 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 1.265805e-08 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.95977 
    - variance bounds :  0.1265805 13.31636 
    - best initial criterion value(s) :  -127.3602 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       127.36  |proj g|=       11.737
  At iterate     1  f =          113  |proj g|=        1.7025
  At iterate     2  f =        76.35  |proj g|=       0.67906
  At iterate     3  f =       76.335  |proj g|=      0.056152
  At iterate     4  f =       76.335  |proj g|=     0.0041673
  At iterate     5  f =       76.335  |proj g|=    2.3373e-05
  At iterate     6  f =       76.335  |proj g|=    9.6611e-09
  
  iterations 6
  function evaluations 17
  segments explored during Cauchy searches 10
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 2
  norm of the final projected gradient 9.66114e-09
  final function value 76.3346
  
  F = 76.3346
  final  value 76.334560 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 1.265805e-08 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.95977 
    - variance bounds :  0.1265805 13.31636 
    - best initial criterion value(s) :  -62604.66 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=        62605  |proj g|=       11.516
  At iterate     1  f =          113  |proj g|=        1.7025
  At iterate     2  f =       76.386  |proj g|=        1.4074
  At iterate     3  f =       76.335  |proj g|=      0.047341
  At iterate     4  f =       76.335  |proj g|=     0.0056743
  At iterate     5  f =       76.335  |proj g|=    2.6835e-05
  At iterate     6  f =       76.335  |proj g|=    1.5122e-08
  
  iterations 6
  function evaluations 23
  segments explored during Cauchy searches 9
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 1.51216e-08
  final function value 76.3346
  
  F = 76.3346
  final  value 76.334560 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 1.265805e-08 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.95977 
    - variance bounds :  0.1265805 13.31636 
    - best initial criterion value(s) :  -62604.66 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=        62605  |proj g|=       11.516
  At iterate     1  f =          113  |proj g|=        1.7025
  At iterate     2  f =       76.386  |proj g|=        1.4074
  At iterate     3  f =       76.335  |proj g|=      0.047341
  At iterate     4  f =       76.335  |proj g|=     0.0056743
  At iterate     5  f =       76.335  |proj g|=    2.6835e-05
  At iterate     6  f =       76.335  |proj g|=    1.5122e-08
  
  iterations 6
  function evaluations 23
  segments explored during Cauchy searches 9
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 1.51216e-08
  final function value 76.3346
  
  F = 76.3346
  final  value 76.334560 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 1.265805e-08 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.95977 
    - variance bounds :  0.1265805 13.31636 
    - best initial criterion value(s) :  -23362.15 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=        23362  |proj g|=       12.118
  At iterate     1  f =          113  |proj g|=        1.7025
  At iterate     2  f =       77.762  |proj g|=         1.648
  ys=-2.929e+01  -gs= 1.965e+01, BFGS update SKIPPED
  At iterate     3  f =       76.472  |proj g|=        1.2533
  At iterate     4  f =       76.335  |proj g|=       0.11765
  At iterate     5  f =       76.335  |proj g|=      0.028446
  At iterate     6  f =       76.335  |proj g|=    0.00033586
  At iterate     7  f =       76.335  |proj g|=     9.448e-07
  
  iterations 7
  function evaluations 31
  segments explored during Cauchy searches 10
  BFGS updates skipped 1
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 9.44804e-07
  final function value 76.3346
  
  F = 76.3346
  final  value 76.334560 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 1.265805e-08 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.95977 
    - variance bounds :  0.1265805 13.31636 
    - best initial criterion value(s) :  -4625.301 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       4625.3  |proj g|=       11.392
  At iterate     1  f =          113  |proj g|=        1.7025
  At iterate     2  f =       77.389  |proj g|=        1.5565
  ys=-2.564e+01  -gs= 1.981e+01, BFGS update SKIPPED
  At iterate     3  f =       76.654  |proj g|=        1.3354
  At iterate     4  f =       76.336  |proj g|=       0.23766
  At iterate     5  f =       76.335  |proj g|=      0.096339
  At iterate     6  f =       76.335  |proj g|=     0.0023132
  At iterate     7  f =       76.335  |proj g|=    2.1861e-05
  
  iterations 7
  function evaluations 29
  segments explored during Cauchy searches 10
  BFGS updates skipped 1
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 2.1861e-05
  final function value 76.3346
  
  F = 76.3346
  final  value 76.334560 
  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) :  -292.2855 
  
  N = 3, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       292.29  |proj g|=       44.127
  At iterate     1  f =       291.87  |proj g|=        41.324
  At iterate     2  f =       291.33  |proj g|=       0.86676
  At iterate     3  f =       291.02  |proj g|=       0.85204
  At iterate     4  f =       278.04  |proj g|=        43.934
  At iterate     5  f =       277.91  |proj g|=        43.923
  At iterate     6  f =       273.63  |proj g|=        43.845
  At iterate     7  f =        263.3  |proj g|=        39.278
  At iterate     8  f =       256.36  |proj g|=        1.3126
  At iterate     9  f =       248.55  |proj g|=        6.9074
  At iterate    10  f =       247.34  |proj g|=        3.8477
  At iterate    11  f =       247.09  |proj g|=       0.23829
  At iterate    12  f =       247.09  |proj g|=       0.38532
  At iterate    13  f =       247.09  |proj g|=       0.30455
  At iterate    14  f =       247.09  |proj g|=       0.23951
  At iterate    15  f =       247.09  |proj g|=       0.33829
  At iterate    16  f =       247.09  |proj g|=       0.66408
  At iterate    17  f =       247.08  |proj g|=        1.1936
  At iterate    18  f =       247.06  |proj g|=        1.6272
  At iterate    19  f =          247  |proj g|=        1.6439
  At iterate    20  f =       246.86  |proj g|=        1.6735
  At iterate    21  f =       246.83  |proj g|=         1.669
  At iterate    22  f =       246.53  |proj g|=        1.6907
  At iterate    23  f =       244.99  |proj g|=        1.6331
  At iterate    24  f =       243.65  |proj g|=        1.4655
  At iterate    25  f =       243.31  |proj g|=        1.7282
  At iterate    26  f =       243.27  |proj g|=       0.36066
  At iterate    27  f =       243.27  |proj g|=       0.45627
  At iterate    28  f =       243.26  |proj g|=       0.10024
  At iterate    29  f =       243.26  |proj g|=     0.0026855
  At iterate    30  f =       243.26  |proj g|=    2.8218e-06
  
  iterations 30
  function evaluations 42
  segments explored during Cauchy searches 32
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 0
  norm of the final projected gradient 2.82175e-06
  final function value 243.264
  
  F = 243.264
  final  value 243.264413 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 3.435024e-07 
    - parameters lower bounds :  1e-10 1e-10 
    - parameters upper bounds :  1.880582 44.27959 
    - variance bounds :  3.435024 622.0591 
    - best initial criterion value(s) :  -956.8501 
  
  N = 3, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       956.85  |proj g|=        26.49
  At iterate     1  f =       323.67  |proj g|=       0.35199
  At iterate     2  f =       318.25  |proj g|=      0.045809
  At iterate     3  f =       318.22  |proj g|=     0.0013922
  At iterate     4  f =       318.22  |proj g|=    9.4397e-05
  At iterate     5  f =       318.22  |proj g|=    1.7916e-07
  
  iterations 5
  function evaluations 16
  segments explored during Cauchy searches 7
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 2
  norm of the final projected gradient 1.79162e-07
  final function value 318.222
  
  F = 318.222
  final  value 318.221782 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 3.435024e-07 
    - parameters lower bounds :  1e-10 1e-10 
    - parameters upper bounds :  1.880582 44.27959 
    - variance bounds :  3.435024 622.0591 
    - best initial criterion value(s) :  -257.6643 
  
  N = 3, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       257.66  |proj g|=      0.27812
  At iterate     1  f =       255.59  |proj g|=        9.6647
  At iterate     2  f =       254.32  |proj g|=        19.968
  At iterate     3  f =       254.07  |proj g|=        21.431
  At iterate     4  f =       253.05  |proj g|=        23.934
  At iterate     5  f =       251.85  |proj g|=        22.249
  At iterate     6  f =       249.38  |proj g|=        14.155
  At iterate     7  f =       247.33  |proj g|=        1.7063
  At iterate     8  f =       247.33  |proj g|=        0.2408
  At iterate     9  f =       247.33  |proj g|=       0.24128
  At iterate    10  f =       247.31  |proj g|=       0.30527
  At iterate    11  f =       247.18  |proj g|=        1.3814
  At iterate    12  f =       246.85  |proj g|=         3.094
  At iterate    13  f =       246.05  |proj g|=         6.136
  At iterate    14  f =       245.28  |proj g|=        5.3052
  At iterate    15  f =       245.07  |proj g|=        15.995
  At iterate    16  f =       243.86  |proj g|=        7.3689
  At iterate    17  f =        243.4  |proj g|=       0.84082
  At iterate    18  f =       243.28  |proj g|=        1.3814
  At iterate    19  f =       243.26  |proj g|=       0.48156
  At iterate    20  f =       243.26  |proj g|=      0.040129
  At iterate    21  f =       243.26  |proj g|=     0.0059288
  At iterate    22  f =       243.26  |proj g|=     0.0028226
  
  iterations 22
  function evaluations 27
  segments explored during Cauchy searches 23
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 0
  norm of the final projected gradient 0.0028226
  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) :  -304.5973 
  
  N = 3, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=        304.6  |proj g|=       44.143
  At iterate     1  f =        285.7  |proj g|=       0.68754
  At iterate     2  f =       266.51  |proj g|=        32.589
  At iterate     3  f =       263.26  |proj g|=        29.796
  At iterate     4  f =       253.55  |proj g|=        2.1086
  At iterate     5  f =       252.33  |proj g|=        1.8365
  At iterate     6  f =       252.25  |proj g|=        1.6874
  At iterate     7  f =       252.24  |proj g|=       0.20728
  At iterate     8  f =       252.24  |proj g|=       0.20697
  At iterate     9  f =       252.24  |proj g|=       0.21067
  At iterate    10  f =       252.24  |proj g|=        0.4119
  At iterate    11  f =       252.24  |proj g|=       0.77468
  At iterate    12  f =       252.23  |proj g|=       0.98858
  At iterate    13  f =       252.22  |proj g|=        1.4519
  At iterate    14  f =       252.16  |proj g|=         1.817
  At iterate    15  f =       251.79  |proj g|=         1.859
  At iterate    16  f =       250.43  |proj g|=         1.912
  At iterate    17  f =       249.38  |proj g|=        1.9044
  At iterate    18  f =       248.98  |proj g|=        1.8702
  At iterate    19  f =       247.94  |proj g|=        1.8129
  At iterate    20  f =       247.26  |proj g|=        1.5535
  At iterate    21  f =       244.21  |proj g|=        1.5463
  At iterate    22  f =       243.47  |proj g|=        1.4315
  At iterate    23  f =       243.27  |proj g|=        1.7287
  At iterate    24  f =       243.27  |proj g|=       0.15356
  At iterate    25  f =       243.26  |proj g|=      0.041659
  At iterate    26  f =       243.26  |proj g|=     0.0016049
  At iterate    27  f =       243.26  |proj g|=     0.0068524
  
  iterations 27
  function evaluations 37
  segments explored during Cauchy searches 29
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 0
  norm of the final projected gradient 0.00685243
  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 : 8.395745e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.943108 
    - variance bounds :  0.08197438 8.395745 
    - best initial criterion value(s) :  -13981.52 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=        13982  |proj g|=       7.7428
  At iterate     1  f =       101.59  |proj g|=        2.6859
  At iterate     2  f =       68.486  |proj g|=        1.2402
  ys=-3.152e+01  -gs= 1.900e+01, BFGS update SKIPPED
  At iterate     3  f =       66.126  |proj g|=       0.79851
  At iterate     4  f =       66.071  |proj g|=        0.1139
  At iterate     5  f =        66.07  |proj g|=      0.016713
  At iterate     6  f =        66.07  |proj g|=    0.00012632
  At iterate     7  f =        66.07  |proj g|=    1.3878e-07
  
  iterations 7
  function evaluations 30
  segments explored during Cauchy searches 10
  BFGS updates skipped 1
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 1.38776e-07
  final function value 66.0704
  
  F = 66.0704
  final  value 66.070358 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 8.395745e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.943108 
    - variance bounds :  0.08197438 8.395745 
    - best initial criterion value(s) :  -13981.52 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=        13982  |proj g|=       7.7428
  At iterate     1  f =       101.59  |proj g|=        2.6859
  At iterate     2  f =       68.486  |proj g|=        1.2402
  ys=-3.152e+01  -gs= 1.900e+01, BFGS update SKIPPED
  At iterate     3  f =       66.126  |proj g|=       0.79851
  At iterate     4  f =       66.071  |proj g|=        0.1139
  At iterate     5  f =        66.07  |proj g|=      0.016713
  At iterate     6  f =        66.07  |proj g|=    0.00012632
  At iterate     7  f =        66.07  |proj g|=    1.3878e-07
  
  iterations 7
  function evaluations 30
  segments explored during Cauchy searches 10
  BFGS updates skipped 1
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 1.38776e-07
  final function value 66.0704
  
  F = 66.0704
  final  value 66.070358 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 8.395745e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.943108 
    - variance bounds :  0.08197438 8.395745 
    - best initial criterion value(s) :  -100505.1 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=   1.0051e+05  |proj g|=       7.5596
  At iterate     1  f =       101.59  |proj g|=        2.6859
  At iterate     2  f =       67.219  |proj g|=        1.0503
  ys=-2.433e+01  -gs= 1.951e+01, BFGS update SKIPPED
  At iterate     3  f =       66.159  |proj g|=       0.81399
  At iterate     4  f =        66.07  |proj g|=       0.08215
  At iterate     5  f =        66.07  |proj g|=      0.015385
  At iterate     6  f =        66.07  |proj g|=    8.3654e-05
  At iterate     7  f =        66.07  |proj g|=    8.4611e-08
  
  iterations 7
  function evaluations 32
  segments explored during Cauchy searches 10
  BFGS updates skipped 1
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 8.46108e-08
  final function value 66.0704
  
  F = 66.0704
  final  value 66.070358 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 8.395745e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.943108 
    - variance bounds :  0.08197438 8.395745 
    - best initial criterion value(s) :  -100505.1 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=   1.0051e+05  |proj g|=       7.5596
  At iterate     1  f =       101.59  |proj g|=        2.6859
  At iterate     2  f =       67.219  |proj g|=        1.0503
  ys=-2.433e+01  -gs= 1.951e+01, BFGS update SKIPPED
  At iterate     3  f =       66.159  |proj g|=       0.81399
  At iterate     4  f =        66.07  |proj g|=       0.08215
  At iterate     5  f =        66.07  |proj g|=      0.015385
  At iterate     6  f =        66.07  |proj g|=    8.3654e-05
  At iterate     7  f =        66.07  |proj g|=    8.4611e-08
  
  iterations 7
  function evaluations 32
  segments explored during Cauchy searches 10
  BFGS updates skipped 1
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 8.46108e-08
  final function value 66.0704
  
  F = 66.0704
  final  value 66.070358 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 8.395745e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.943108 
    - variance bounds :  0.08197438 8.395745 
    - best initial criterion value(s) :  -21584.87 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=        21585  |proj g|=       7.4797
  At iterate     1  f =       101.59  |proj g|=        2.6859
  At iterate     2  f =       66.709  |proj g|=         7.734
  At iterate     3  f =       66.162  |proj g|=        0.8154
  At iterate     4  f =       66.083  |proj g|=       0.76799
  At iterate     5  f =       66.071  |proj g|=       0.19637
  At iterate     6  f =        66.07  |proj g|=      0.012968
  At iterate     7  f =        66.07  |proj g|=    0.00016513
  At iterate     8  f =        66.07  |proj g|=     1.411e-07
  
  iterations 8
  function evaluations 25
  segments explored during Cauchy searches 11
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 1.41098e-07
  final function value 66.0704
  
  F = 66.0704
  final  value 66.070358 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 8.395745e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.943108 
    - variance bounds :  0.08197438 8.395745 
    - best initial criterion value(s) :  -19952657 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=   1.9953e+07  |proj g|=       7.8393
  At iterate     1  f =       101.59  |proj g|=        2.6859
  At iterate     2  f =       67.885  |proj g|=        1.1539
  ys=-2.918e+01  -gs= 1.923e+01, BFGS update SKIPPED
  At iterate     3  f =       67.116  |proj g|=        1.0329
  At iterate     4  f =       66.097  |proj g|=       0.77987
  At iterate     5  f =       66.071  |proj g|=       0.11805
  At iterate     6  f =        66.07  |proj g|=      0.011599
  At iterate     7  f =        66.07  |proj g|=    9.0931e-05
  At iterate     8  f =        66.07  |proj g|=    6.9359e-08
  
  iterations 8
  function evaluations 35
  segments explored during Cauchy searches 11
  BFGS updates skipped 1
  active bounds at final generalized Cauchy point 2
  norm of the final projected gradient 6.93589e-08
  final function value 66.0704
  
  F = 66.0704
  final  value 66.070358 
  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) :  -293.7611 
  
  N = 3, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       293.76  |proj g|=        2.285
  At iterate     1  f =       265.81  |proj g|=        4.5613
  At iterate     2  f =       265.04  |proj g|=        1.9179
  At iterate     3  f =       265.04  |proj g|=        1.8353
  At iterate     4  f =          265  |proj g|=        1.8356
  At iterate     5  f =       264.79  |proj g|=        1.8353
  At iterate     6  f =       264.51  |proj g|=        1.8333
  At iterate     7  f =       264.22  |proj g|=        1.8297
  At iterate     8  f =        263.5  |proj g|=        2.2591
  At iterate     9  f =       263.19  |proj g|=        4.0876
  At iterate    10  f =       260.96  |proj g|=        2.7428
  At iterate    11  f =       257.34  |proj g|=        8.1971
  At iterate    12  f =       256.05  |proj g|=        21.484
  At iterate    13  f =       249.72  |proj g|=        1.7874
  At iterate    14  f =       249.37  |proj g|=           1.7
  At iterate    15  f =       249.33  |proj g|=       0.92909
  At iterate    16  f =       249.33  |proj g|=       0.23155
  At iterate    17  f =       249.33  |proj g|=       0.23119
  At iterate    18  f =       249.33  |proj g|=       0.22962
  At iterate    19  f =       249.33  |proj g|=       0.22759
  At iterate    20  f =       249.33  |proj g|=       0.34556
  At iterate    21  f =       249.32  |proj g|=       0.42373
  At iterate    22  f =        249.3  |proj g|=       0.32918
  At iterate    23  f =       249.26  |proj g|=       0.27011
  At iterate    24  f =       249.17  |proj g|=        1.7253
  At iterate    25  f =       248.69  |proj g|=         6.659
  At iterate    26  f =       248.45  |proj g|=        8.6238
  At iterate    27  f =       247.35  |proj g|=        14.251
  At iterate    28  f =       246.24  |proj g|=        17.884
  At iterate    29  f =       245.59  |proj g|=        18.139
  At iterate    30  f =       243.96  |proj g|=         9.598
  At iterate    31  f =       243.41  |proj g|=        0.4791
  At iterate    32  f =        243.3  |proj g|=        1.7314
  At iterate    33  f =       243.27  |proj g|=        1.2001
  At iterate    34  f =       243.26  |proj g|=       0.15257
  At iterate    35  f =       243.26  |proj g|=      0.030457
  At iterate    36  f =       243.26  |proj g|=    0.00083673
  
  iterations 36
  function evaluations 49
  segments explored during Cauchy searches 37
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 0
  norm of the final projected gradient 0.000836732
  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) :  -1406.294 
  
  N = 3, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       1406.3  |proj g|=       50.644
  At iterate     1  f =       330.76  |proj g|=       0.36361
  At iterate     2  f =       318.24  |proj g|=      0.033253
  At iterate     3  f =       318.22  |proj g|=     0.0017717
  At iterate     4  f =       318.22  |proj g|=    8.5248e-05
  At iterate     5  f =       318.22  |proj g|=    2.0604e-07
  
  iterations 5
  function evaluations 13
  segments explored during Cauchy searches 7
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 2
  norm of the final projected gradient 2.06041e-07
  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/th798/16119935/R-release/844/mlr3learners.Rcheck/00check.log'
for details.

[1] "2025-03-26 01:45:48 MST"
[1] "2025-03-26 01:45:48 MST"
Installing package into '/tmp/th798/16119935/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
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/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
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/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
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/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
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/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/th798/16119935/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] "2025-03-26 01:46:08 MST"
* using log directory '/tmp/th798/16119935/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 20.391705 
  converged
  # weights:  3 (2 variable)
  initial  value 20.794415 
  final  value 20.391705 
  converged
  # weights:  3 (2 variable)
  initial  value 20.794415 
  final  value 20.624268 
  converged
  # weights:  3 (2 variable)
  initial  value 20.794415 
  final  value 20.624268 
  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 
  iter  10 value 19.448622
  iter  10 value 19.448622
  iter  10 value 19.448622
  final  value 19.448622 
  converged
  # weights:  6 (5 variable)
  initial  value 20.794415 
  iter  10 value 19.448622
  iter  10 value 19.448622
  iter  10 value 19.448622
  final  value 19.448622 
  converged
  # weights:  6 (5 variable)
  initial  value 20.794415 
  iter  10 value 19.448622
  iter  10 value 19.448622
  iter  10 value 19.448622
  final  value 19.448622 
  converged
  # weights:  6 (5 variable)
  initial  value 20.794415 
  iter  10 value 19.448622
  iter  10 value 19.448622
  iter  10 value 19.448622
  final  value 19.448622 
  converged
  # weights:  6 (5 variable)
  initial  value 9.037510 
  iter  10 value 7.205128
  final  value 7.204780 
  converged
  # weights:  6 (5 variable)
  initial  value 9.037510 
  iter  10 value 7.205128
  final  value 7.204780 
  converged
  # weights:  6 (5 variable)
  initial  value 20.794415 
  iter  10 value 19.448622
  iter  10 value 19.448622
  iter  10 value 19.448622
  final  value 19.448622 
  converged
  # weights:  6 (5 variable)
  initial  value 20.794415 
  iter  10 value 19.448622
  iter  10 value 19.448622
  iter  10 value 19.448622
  final  value 19.448622 
  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:  9 (4 variable)
  initial  value 32.958369 
  final  value 30.921052 
  converged
  # weights:  9 (4 variable)
  initial  value 32.958369 
  final  value 30.921052 
  converged
  # weights:  9 (4 variable)
  initial  value 32.958369 
  final  value 31.800584 
  converged
  # weights:  9 (4 variable)
  initial  value 32.958369 
  final  value 31.800584 
  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 26.818948
  final  value 26.816582 
  converged
  # weights:  18 (10 variable)
  initial  value 32.958369 
  iter  10 value 26.818948
  final  value 26.816582 
  converged
  # weights:  18 (10 variable)
  initial  value 32.958369 
  iter  10 value 26.818948
  final  value 26.816582 
  converged
  # weights:  18 (10 variable)
  initial  value 32.958369 
  iter  10 value 26.818948
  final  value 26.816582 
  converged
  # weights:  18 (10 variable)
  initial  value 16.580636 
  iter  10 value 12.203974
  iter  20 value 12.145472
  final  value 12.145465 
  converged
  # weights:  18 (10 variable)
  initial  value 16.580636 
  iter  10 value 12.203974
  iter  20 value 12.145472
  final  value 12.145465 
  converged
  # weights:  18 (10 variable)
  initial  value 32.958369 
  iter  10 value 26.818948
  final  value 26.816582 
  converged
  # weights:  18 (10 variable)
  initial  value 32.958369 
  iter  10 value 26.818948
  final  value 26.816582 
  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 : 9.307685e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.976942 
    - variance bounds :  0.09307685 9.419923 
    - best initial criterion value(s) :  -740.3592 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       740.36  |proj g|=       8.1492
  At iterate     1  f =       104.44  |proj g|=         2.397
  At iterate     2  f =        69.08  |proj g|=         1.012
  ys=-1.291e+01  -gs= 1.993e+01, BFGS update SKIPPED
  At iterate     3  f =       68.965  |proj g|=       0.98112
  At iterate     4  f =       68.772  |proj g|=        3.1099
  At iterate     5  f =       68.662  |proj g|=       0.85007
  At iterate     6  f =       68.649  |proj g|=       0.16603
  At iterate     7  f =       68.648  |proj g|=      0.011664
  At iterate     8  f =       68.648  |proj g|=    0.00014334
  At iterate     9  f =       68.648  |proj g|=    1.2187e-07
  
  iterations 9
  function evaluations 27
  segments explored during Cauchy searches 12
  BFGS updates skipped 1
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 1.21875e-07
  final function value 68.6482
  
  F = 68.6482
  final  value 68.648241 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 9.307685e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.976942 
    - variance bounds :  0.09307685 9.419923 
    - best initial criterion value(s) :  -740.3592 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       740.36  |proj g|=       8.1492
  At iterate     1  f =       104.44  |proj g|=         2.397
  At iterate     2  f =        69.08  |proj g|=         1.012
  ys=-1.291e+01  -gs= 1.993e+01, BFGS update SKIPPED
  At iterate     3  f =       68.965  |proj g|=       0.98112
  At iterate     4  f =       68.772  |proj g|=        3.1099
  At iterate     5  f =       68.662  |proj g|=       0.85007
  At iterate     6  f =       68.649  |proj g|=       0.16603
  At iterate     7  f =       68.648  |proj g|=      0.011664
  At iterate     8  f =       68.648  |proj g|=    0.00014334
  At iterate     9  f =       68.648  |proj g|=    1.2187e-07
  
  iterations 9
  function evaluations 27
  segments explored during Cauchy searches 12
  BFGS updates skipped 1
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 1.21875e-07
  final function value 68.6482
  
  F = 68.6482
  final  value 68.648241 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 9.307685e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.976942 
    - variance bounds :  0.09307685 9.419923 
    - best initial criterion value(s) :  -134.425 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       134.43  |proj g|=       8.4456
  At iterate     1  f =       104.44  |proj g|=         2.397
  At iterate     2  f =       70.016  |proj g|=        1.2014
  ys=-2.687e+01  -gs= 1.948e+01, BFGS update SKIPPED
  At iterate     3  f =       68.824  |proj g|=       0.93627
  At iterate     4  f =       68.649  |proj g|=       0.20434
  At iterate     5  f =       68.648  |proj g|=      0.057226
  At iterate     6  f =       68.648  |proj g|=    0.00086496
  At iterate     7  f =       68.648  |proj g|=    3.5935e-06
  
  iterations 7
  function evaluations 29
  segments explored during Cauchy searches 10
  BFGS updates skipped 1
  active bounds at final generalized Cauchy point 2
  norm of the final projected gradient 3.59354e-06
  final function value 68.6482
  
  F = 68.6482
  final  value 68.648241 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 9.307685e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.976942 
    - variance bounds :  0.09307685 9.419923 
    - best initial criterion value(s) :  -134.425 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       134.43  |proj g|=       8.4456
  At iterate     1  f =       104.44  |proj g|=         2.397
  At iterate     2  f =       70.016  |proj g|=        1.2014
  ys=-2.687e+01  -gs= 1.948e+01, BFGS update SKIPPED
  At iterate     3  f =       68.824  |proj g|=       0.93627
  At iterate     4  f =       68.649  |proj g|=       0.20434
  At iterate     5  f =       68.648  |proj g|=      0.057226
  At iterate     6  f =       68.648  |proj g|=    0.00086496
  At iterate     7  f =       68.648  |proj g|=    3.5935e-06
  
  iterations 7
  function evaluations 29
  segments explored during Cauchy searches 10
  BFGS updates skipped 1
  active bounds at final generalized Cauchy point 2
  norm of the final projected gradient 3.59354e-06
  final function value 68.6482
  
  F = 68.6482
  final  value 68.648241 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 9.307685e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.976942 
    - variance bounds :  0.09307685 9.419923 
    - best initial criterion value(s) :  -826332.8 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=   8.2633e+05  |proj g|=       8.5966
  At iterate     1  f =       104.44  |proj g|=         2.397
  At iterate     2  f =       70.895  |proj g|=        1.3463
  ys=-3.164e+01  -gs= 1.913e+01, BFGS update SKIPPED
  At iterate     3  f =       68.648  |proj g|=      0.049178
  At iterate     4  f =       68.648  |proj g|=    1.6955e-07
  Bad direction in the line search;
     refresh the lbfgs memory and restart the iteration.
  At iterate     5  f =       68.648  |proj g|=    9.6512e-09
  
  iterations 5
  function evaluations 53
  segments explored during Cauchy searches 9
  BFGS updates skipped 1
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 9.65122e-09
  final function value 68.6482
  
  F = 68.6482
  final  value 68.648241 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 9.307685e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.976942 
    - variance bounds :  0.09307685 9.419923 
    - best initial criterion value(s) :  -4148903 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=   4.1489e+06  |proj g|=       8.4078
  At iterate     1  f =       104.44  |proj g|=         2.397
  At iterate     2  f =       69.943  |proj g|=        1.1885
  ys=-2.625e+01  -gs= 1.951e+01, BFGS update SKIPPED
  At iterate     3  f =       69.212  |proj g|=        1.0436
  At iterate     4  f =       68.659  |proj g|=       0.78016
  At iterate     5  f =       68.652  |proj g|=       0.48381
  At iterate     6  f =       68.648  |proj g|=      0.028356
  At iterate     7  f =       68.648  |proj g|=     0.0009614
  At iterate     8  f =       68.648  |proj g|=    1.9947e-06
  
  iterations 8
  function evaluations 32
  segments explored during Cauchy searches 11
  BFGS updates skipped 1
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 1.99468e-06
  final function value 68.6482
  
  F = 68.6482
  final  value 68.648241 
  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) :  -271.1866 
  
  N = 3, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       271.19  |proj g|=       15.495
  At iterate     1  f =       251.98  |proj g|=        1.9901
  At iterate     2  f =       250.64  |proj g|=        1.9586
  At iterate     3  f =       245.24  |proj g|=        1.6276
  At iterate     4  f =       244.76  |proj g|=         1.482
  At iterate     5  f =       244.62  |proj g|=       0.21363
  At iterate     6  f =       244.62  |proj g|=       0.21136
  At iterate     7  f =       244.57  |proj g|=       0.61739
  At iterate     8  f =       243.98  |proj g|=        1.4912
  At iterate     9  f =        243.6  |proj g|=         1.447
  At iterate    10  f =        243.3  |proj g|=         1.384
  At iterate    11  f =       243.27  |proj g|=         1.728
  At iterate    12  f =       243.26  |proj g|=       0.28706
  At iterate    13  f =       243.26  |proj g|=      0.017628
  At iterate    14  f =       243.26  |proj g|=    5.5851e-05
  
  iterations 14
  function evaluations 22
  segments explored during Cauchy searches 15
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 0
  norm of the final projected gradient 5.58509e-05
  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) :  -3043.978 
  
  N = 3, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=         3044  |proj g|=       85.601
  At iterate     1  f =       345.23  |proj g|=       0.29961
  At iterate     2  f =       318.22  |proj g|=      0.012159
  At iterate     3  f =       318.22  |proj g|=    0.00065782
  At iterate     4  f =       318.22  |proj g|=    1.1123e-05
  At iterate     5  f =       318.22  |proj g|=    9.9639e-09
  
  iterations 5
  function evaluations 23
  segments explored during Cauchy searches 7
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 2
  norm of the final projected gradient 9.96387e-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) :  -948.4036 
  
  N = 3, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=        948.4  |proj g|=       14.175
  At iterate     1  f =       332.76  |proj g|=       0.35761
  At iterate     2  f =       318.24  |proj g|=      0.038411
  At iterate     3  f =       318.22  |proj g|=    0.00044964
  At iterate     4  f =       318.22  |proj g|=    2.2079e-05
  At iterate     5  f =       318.22  |proj g|=    1.3515e-08
  
  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 1.3515e-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) :  -1067.797 
  
  N = 3, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       1067.8  |proj g|=       28.129
  At iterate     1  f =       325.09  |proj g|=        0.3617
  At iterate     2  f =       318.24  |proj g|=      0.042578
  At iterate     3  f =       318.22  |proj g|=     0.0015351
  At iterate     4  f =       318.22  |proj g|=    9.6184e-05
  At iterate     5  f =       318.22  |proj g|=    2.0134e-07
  
  iterations 5
  function evaluations 16
  segments explored during Cauchy searches 7
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 2
  norm of the final projected gradient 2.0134e-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 : 8.17048e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.838874 
    - variance bounds :  0.07941048 8.17048 
    - best initial criterion value(s) :  -92.05552 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       92.056  |proj g|=       7.3849
  At iterate     1  f =       77.409  |proj g|=        3.1268
  At iterate     2  f =       65.195  |proj g|=         1.394
  At iterate     3  f =       64.994  |proj g|=         1.413
  At iterate     4  f =       64.794  |proj g|=        1.8307
  At iterate     5  f =       64.784  |proj g|=          1.83
  At iterate     6  f =       64.783  |proj g|=        1.2208
  At iterate     7  f =       64.782  |proj g|=        1.2197
  At iterate     8  f =       64.778  |proj g|=          1.83
  At iterate     9  f =       64.763  |proj g|=          1.83
  At iterate    10  f =       64.728  |proj g|=          1.83
  At iterate    11  f =       64.647  |proj g|=        1.8297
  At iterate    12  f =       64.545  |proj g|=        1.8276
  At iterate    13  f =       64.529  |proj g|=        1.8297
  At iterate    14  f =       64.352  |proj g|=        1.8285
  At iterate    15  f =       64.249  |proj g|=       0.89784
  At iterate    16  f =        64.23  |proj g|=       0.84685
  At iterate    17  f =        64.23  |proj g|=       0.83122
  At iterate    18  f =       64.228  |proj g|=        1.8279
  At iterate    19  f =       64.171  |proj g|=         1.828
  At iterate    20  f =       63.794  |proj g|=         1.827
  At iterate    21  f =       63.786  |proj g|=       0.72503
  At iterate    22  f =       63.652  |proj g|=       0.71489
  At iterate    23  f =       63.648  |proj g|=       0.24604
  At iterate    24  f =       63.642  |proj g|=        1.0488
  At iterate    25  f =       63.642  |proj g|=      0.012168
  At iterate    26  f =       63.642  |proj g|=     0.0015239
  At iterate    27  f =       63.642  |proj g|=    9.8449e-06
  
  iterations 27
  function evaluations 43
  segments explored during Cauchy searches 30
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 1
  norm of the final projected gradient 9.84494e-06
  final function value 63.6424
  
  F = 63.6424
  final  value 63.642395 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 8.17048e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.838874 
    - variance bounds :  0.07941048 8.17048 
    - best initial criterion value(s) :  -92.05552 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       92.056  |proj g|=       7.3849
  At iterate     1  f =       77.409  |proj g|=        3.1268
  At iterate     2  f =       65.195  |proj g|=         1.394
  At iterate     3  f =       64.994  |proj g|=         1.413
  At iterate     4  f =       64.794  |proj g|=        1.8307
  At iterate     5  f =       64.784  |proj g|=          1.83
  At iterate     6  f =       64.783  |proj g|=        1.2208
  At iterate     7  f =       64.782  |proj g|=        1.2197
  At iterate     8  f =       64.778  |proj g|=          1.83
  At iterate     9  f =       64.763  |proj g|=          1.83
  At iterate    10  f =       64.728  |proj g|=          1.83
  At iterate    11  f =       64.647  |proj g|=        1.8297
  At iterate    12  f =       64.545  |proj g|=        1.8276
  At iterate    13  f =       64.529  |proj g|=        1.8297
  At iterate    14  f =       64.352  |proj g|=        1.8285
  At iterate    15  f =       64.249  |proj g|=       0.89784
  At iterate    16  f =        64.23  |proj g|=       0.84685
  At iterate    17  f =        64.23  |proj g|=       0.83122
  At iterate    18  f =       64.228  |proj g|=        1.8279
  At iterate    19  f =       64.171  |proj g|=         1.828
  At iterate    20  f =       63.794  |proj g|=         1.827
  At iterate    21  f =       63.786  |proj g|=       0.72503
  At iterate    22  f =       63.652  |proj g|=       0.71489
  At iterate    23  f =       63.648  |proj g|=       0.24604
  At iterate    24  f =       63.642  |proj g|=        1.0488
  At iterate    25  f =       63.642  |proj g|=      0.012168
  At iterate    26  f =       63.642  |proj g|=     0.0015239
  At iterate    27  f =       63.642  |proj g|=    9.8449e-06
  
  iterations 27
  function evaluations 43
  segments explored during Cauchy searches 30
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 1
  norm of the final projected gradient 9.84494e-06
  final function value 63.6424
  
  F = 63.6424
  final  value 63.642395 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 8.17048e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.838874 
    - variance bounds :  0.07941048 8.17048 
    - best initial criterion value(s) :  -113.4712 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       113.47  |proj g|=       7.4949
  At iterate     1  f =       100.91  |proj g|=        2.7599
  At iterate     2  f =       65.427  |proj g|=        1.8262
  At iterate     3  f =        65.39  |proj g|=      0.028447
  At iterate     4  f =        65.39  |proj g|=     0.0029151
  At iterate     5  f =        65.39  |proj g|=    5.3253e-06
  
  iterations 5
  function evaluations 13
  segments explored during Cauchy searches 8
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 5.3253e-06
  final function value 65.3904
  
  F = 65.3904
  final  value 65.390424 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 8.17048e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.838874 
    - variance bounds :  0.07941048 8.17048 
    - best initial criterion value(s) :  -113.4712 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       113.47  |proj g|=       7.4949
  At iterate     1  f =       100.91  |proj g|=        2.7599
  At iterate     2  f =       65.427  |proj g|=        1.8262
  At iterate     3  f =        65.39  |proj g|=      0.028447
  At iterate     4  f =        65.39  |proj g|=     0.0029151
  At iterate     5  f =        65.39  |proj g|=    5.3253e-06
  
  iterations 5
  function evaluations 13
  segments explored during Cauchy searches 8
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 5.3253e-06
  final function value 65.3904
  
  F = 65.3904
  final  value 65.390424 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 8.17048e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.838874 
    - variance bounds :  0.07941048 8.17048 
    - best initial criterion value(s) :  -204.3272 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       204.33  |proj g|=       7.4038
  At iterate     1  f =       100.91  |proj g|=        2.7599
  At iterate     2  f =       66.783  |proj g|=        1.0608
  ys=-2.649e+01  -gs= 1.940e+01, BFGS update SKIPPED
  At iterate     3  f =       66.272  |proj g|=       0.97783
  At iterate     4  f =       65.423  |proj g|=       0.76332
  At iterate     5  f =       65.391  |proj g|=       0.13237
  At iterate     6  f =        65.39  |proj g|=      0.014428
  At iterate     7  f =        65.39  |proj g|=    0.00012351
  At iterate     8  f =        65.39  |proj g|=    1.1402e-07
  
  iterations 8
  function evaluations 24
  segments explored during Cauchy searches 11
  BFGS updates skipped 1
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 1.14017e-07
  final function value 65.3904
  
  F = 65.3904
  final  value 65.390424 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 8.17048e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.838874 
    - variance bounds :  0.07941048 8.17048 
    - best initial criterion value(s) :  -93.22445 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       93.224  |proj g|=       7.2052
  At iterate     1  f =       80.192  |proj g|=         3.252
  At iterate     2  f =       75.732  |proj g|=        2.0434
  At iterate     3  f =       74.397  |proj g|=        2.0716
  At iterate     4  f =       68.804  |proj g|=        7.5524
  At iterate     5  f =       66.063  |proj g|=          7.53
  At iterate     6  f =       65.391  |proj g|=       0.14325
  At iterate     7  f =        65.39  |proj g|=      0.051986
  At iterate     8  f =        65.39  |proj g|=    0.00048462
  At iterate     9  f =        65.39  |proj g|=    1.6205e-06
  
  iterations 9
  function evaluations 17
  segments explored during Cauchy searches 13
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 1
  norm of the final projected gradient 1.62047e-06
  final function value 65.3904
  
  F = 65.3904
  final  value 65.390424 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 3.435024e-07 
    - parameters lower bounds :  1e-10 1e-10 
    - parameters upper bounds :  1.880582 44.27959 
    - variance bounds :  3.435024 622.0591 
    - best initial criterion value(s) :  -301.9916 
  
  N = 3, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       301.99  |proj g|=        44.04
  At iterate     1  f =       261.37  |proj g|=        5.2815
  At iterate     2  f =       256.39  |proj g|=        18.149
  At iterate     3  f =       254.56  |proj g|=        8.1024
  At iterate     4  f =       252.58  |proj g|=        1.3348
  At iterate     5  f =       252.55  |proj g|=       0.20327
  At iterate     6  f =       252.55  |proj g|=       0.20453
  At iterate     7  f =       252.55  |proj g|=        1.6877
  At iterate     8  f =       252.54  |proj g|=        1.6887
  At iterate     9  f =       252.52  |proj g|=        1.6905
  At iterate    10  f =       252.48  |proj g|=        1.6934
  At iterate    11  f =       252.35  |proj g|=        1.6987
  At iterate    12  f =       252.01  |proj g|=        1.7085
  At iterate    13  f =       251.01  |proj g|=         1.729
  At iterate    14  f =       249.57  |proj g|=        1.7509
  At iterate    15  f =       248.37  |proj g|=        1.7744
  At iterate    16  f =        247.8  |proj g|=        1.8254
  At iterate    17  f =       246.31  |proj g|=          1.75
  At iterate    18  f =       243.45  |proj g|=        1.4142
  At iterate    19  f =        243.3  |proj g|=       0.49453
  At iterate    20  f =       243.28  |proj g|=        1.7282
  At iterate    21  f =       243.26  |proj g|=       0.26314
  At iterate    22  f =       243.26  |proj g|=      0.039988
  At iterate    23  f =       243.26  |proj g|=     0.0058236
  At iterate    24  f =       243.26  |proj g|=    0.00075311
  
  iterations 24
  function evaluations 35
  segments explored during Cauchy searches 26
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 0
  norm of the final projected gradient 0.000753112
  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) :  -558.9219 
  
  N = 3, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       558.92  |proj g|=       13.788
  At iterate     1  f =       322.73  |proj g|=       0.34146
  At iterate     2  f =       319.26  |proj g|=       0.22681
  At iterate     3  f =       318.33  |proj g|=      0.087133
  At iterate     4  f =       318.26  |proj g|=      0.059028
  At iterate     5  f =       318.22  |proj g|=     0.0074084
  At iterate     6  f =       318.22  |proj g|=    0.00054756
  At iterate     7  f =       318.22  |proj g|=    5.5938e-06
  At iterate     8  f =       318.22  |proj g|=    4.1703e-09
  
  iterations 8
  function evaluations 14
  segments explored during Cauchy searches 9
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 2
  norm of the final projected gradient 4.17027e-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/th798/16119935/R-release/844/mlr3learners.Rcheck/00check.log'
for details.

[1] "2025-03-26 01:48:02 MST"
> system(paste(c("diff -u", Rcheck.list), collapse=" "))
--- R_version_4.4.3_2025-02-28/release_1.17.0.Rcheck/00check.log	2025-03-26 01:45:48.391038457 -0700
+++ R_version_4.4.3_2025-02-28/master_1.17.99.77b43940971091a63baeccf65ec3b2d729dc3a57.Rcheck/00check.log	2025-03-26 01:48:02.581641288 -0700
@@ -60,27 +60,27 @@
   Loading required package: mlr3
   # weights:  3 (2 variable)
   initial  value 20.794415 
-  final  value 19.095425 
+  final  value 20.727699 
   converged
   # weights:  3 (2 variable)
   initial  value 20.794415 
-  final  value 19.095425 
+  final  value 20.727699 
   converged
   # weights:  3 (2 variable)
   initial  value 20.794415 
-  final  value 20.794415 
+  final  value 20.391705 
   converged
   # weights:  3 (2 variable)
   initial  value 20.794415 
-  final  value 20.794415 
+  final  value 20.391705 
   converged
   # weights:  3 (2 variable)
   initial  value 20.794415 
-  final  value 20.540464 
+  final  value 20.624268 
   converged
   # weights:  3 (2 variable)
   initial  value 20.794415 
-  final  value 20.540464 
+  final  value 20.624268 
   converged
   # weights:  3 (2 variable)
   initial  value 20.794415 
@@ -92,125 +92,129 @@
   converged
   # weights:  6 (5 variable)
   initial  value 20.794415 
-  iter  10 value 18.195121
-  final  value 18.195094 
+  iter  10 value 19.448622
+  iter  10 value 19.448622
+  iter  10 value 19.448622
+  final  value 19.448622 
   converged
   # weights:  6 (5 variable)
   initial  value 20.794415 
-  iter  10 value 18.195121
-  final  value 18.195094 
+  iter  10 value 19.448622
+  iter  10 value 19.448622
+  iter  10 value 19.448622
+  final  value 19.448622 
   converged
   # weights:  6 (5 variable)
   initial  value 20.794415 
-  iter  10 value 18.195121
-  final  value 18.195094 
+  iter  10 value 19.448622
+  iter  10 value 19.448622
+  iter  10 value 19.448622
+  final  value 19.448622 
   converged
   # weights:  6 (5 variable)
   initial  value 20.794415 
-  iter  10 value 18.195121
-  final  value 18.195094 
+  iter  10 value 19.448622
+  iter  10 value 19.448622
+  iter  10 value 19.448622
+  final  value 19.448622 
   converged
   # weights:  6 (5 variable)
-  initial  value 10.316224 
-  iter  10 value 9.397863
-  final  value 9.397858 
+  initial  value 9.037510 
+  iter  10 value 7.205128
+  final  value 7.204780 
   converged
   # weights:  6 (5 variable)
-  initial  value 10.316224 
-  iter  10 value 9.397863
-  final  value 9.397858 
+  initial  value 9.037510 
+  iter  10 value 7.205128
+  final  value 7.204780 
   converged
   # weights:  6 (5 variable)
   initial  value 20.794415 
-  iter  10 value 18.195121
-  final  value 18.195094 
+  iter  10 value 19.448622
+  iter  10 value 19.448622
+  iter  10 value 19.448622
+  final  value 19.448622 
   converged
   # weights:  6 (5 variable)
   initial  value 20.794415 
-  iter  10 value 18.195121
-  final  value 18.195094 
+  iter  10 value 19.448622
+  iter  10 value 19.448622
+  iter  10 value 19.448622
+  final  value 19.448622 
   converged
   # weights:  9 (4 variable)
   initial  value 32.958369 
-  final  value 32.958369 
+  final  value 31.312711 
   converged
   # weights:  9 (4 variable)
   initial  value 32.958369 
-  final  value 32.958369 
+  final  value 31.312711 
   converged
   # weights:  9 (4 variable)
   initial  value 32.958369 
-  final  value 32.350660 
+  final  value 30.921052 
   converged
   # weights:  9 (4 variable)
   initial  value 32.958369 
-  final  value 32.350660 
+  final  value 30.921052 
   converged
   # weights:  9 (4 variable)
   initial  value 32.958369 
-  iter  10 value 31.900428
-  iter  10 value 31.900428
-  final  value 31.900428 
+  final  value 31.800584 
   converged
   # weights:  9 (4 variable)
   initial  value 32.958369 
-  iter  10 value 31.900428
-  iter  10 value 31.900428
-  final  value 31.900428 
+  final  value 31.800584 
   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:  18 (10 variable)
   initial  value 32.958369 
-  iter  10 value 31.141276
-  final  value 31.139398 
+  iter  10 value 26.818948
+  final  value 26.816582 
   converged
   # weights:  18 (10 variable)
   initial  value 32.958369 
-  iter  10 value 31.141276
-  final  value 31.139398 
+  iter  10 value 26.818948
+  final  value 26.816582 
   converged
   # weights:  18 (10 variable)
   initial  value 32.958369 
-  iter  10 value 31.141276
-  final  value 31.139398 
+  iter  10 value 26.818948
+  final  value 26.816582 
   converged
   # weights:  18 (10 variable)
   initial  value 32.958369 
-  iter  10 value 31.141276
-  final  value 31.139398 
+  iter  10 value 26.818948
+  final  value 26.816582 
   converged
   # weights:  18 (10 variable)
-  initial  value 19.119058 
-  iter  10 value 17.525378
-  iter  20 value 17.503011
-  iter  20 value 17.503011
-  iter  20 value 17.503011
-  final  value 17.503011 
+  initial  value 16.580636 
+  iter  10 value 12.203974
+  iter  20 value 12.145472
+  final  value 12.145465 
   converged
   # weights:  18 (10 variable)
-  initial  value 19.119058 
-  iter  10 value 17.525378
-  iter  20 value 17.503011
-  iter  20 value 17.503011
-  iter  20 value 17.503011
-  final  value 17.503011 
+  initial  value 16.580636 
+  iter  10 value 12.203974
+  iter  20 value 12.145472
+  final  value 12.145465 
   converged
   # weights:  18 (10 variable)
   initial  value 32.958369 
-  iter  10 value 31.141276
-  final  value 31.139398 
+  iter  10 value 26.818948
+  final  value 26.816582 
   converged
   # weights:  18 (10 variable)
   initial  value 32.958369 
-  iter  10 value 31.141276
-  final  value 31.139398 
+  iter  10 value 26.818948
+  final  value 26.816582 
   converged
   # weights:  4 (3 variable)
   initial  value 138.629436 
@@ -319,32 +323,36 @@
   * trend model : ~1
   * covariance model : 
     - type :  matern5_2 
-    - nugget : 1.265805e-08 
+    - nugget : 9.307685e-09 
     - parameters lower bounds :  1e-10 1e-10 1e-10 
-    - parameters upper bounds :  4 2 1.95977 
-    - variance bounds :  0.1265805 13.31636 
-    - best initial criterion value(s) :  -127.3602 
+    - parameters upper bounds :  4 2 1.976942 
+    - variance bounds :  0.09307685 9.419923 
+    - best initial criterion value(s) :  -740.3592 
   
   N = 4, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=       127.36  |proj g|=       11.737
-  At iterate     1  f =          113  |proj g|=        1.7025
-  At iterate     2  f =        76.35  |proj g|=       0.67906
-  At iterate     3  f =       76.335  |proj g|=      0.056152
-  At iterate     4  f =       76.335  |proj g|=     0.0041673
-  At iterate     5  f =       76.335  |proj g|=    2.3373e-05
-  At iterate     6  f =       76.335  |proj g|=    9.6611e-09
+  At iterate     0  f=       740.36  |proj g|=       8.1492
+  At iterate     1  f =       104.44  |proj g|=         2.397
+  At iterate     2  f =        69.08  |proj g|=         1.012
+  ys=-1.291e+01  -gs= 1.993e+01, BFGS update SKIPPED
+  At iterate     3  f =       68.965  |proj g|=       0.98112
+  At iterate     4  f =       68.772  |proj g|=        3.1099
+  At iterate     5  f =       68.662  |proj g|=       0.85007
+  At iterate     6  f =       68.649  |proj g|=       0.16603
+  At iterate     7  f =       68.648  |proj g|=      0.011664
+  At iterate     8  f =       68.648  |proj g|=    0.00014334
+  At iterate     9  f =       68.648  |proj g|=    1.2187e-07
   
-  iterations 6
-  function evaluations 17
-  segments explored during Cauchy searches 10
-  BFGS updates skipped 0
-  active bounds at final generalized Cauchy point 2
-  norm of the final projected gradient 9.66114e-09
-  final function value 76.3346
+  iterations 9
+  function evaluations 27
+  segments explored during Cauchy searches 12
+  BFGS updates skipped 1
+  active bounds at final generalized Cauchy point 3
+  norm of the final projected gradient 1.21875e-07
+  final function value 68.6482
   
-  F = 76.3346
-  final  value 76.334560 
+  F = 68.6482
+  final  value 68.648241 
   converged
   
   optimisation start
@@ -355,32 +363,36 @@
   * trend model : ~1
   * covariance model : 
     - type :  matern5_2 
-    - nugget : 1.265805e-08 
+    - nugget : 9.307685e-09 
     - parameters lower bounds :  1e-10 1e-10 1e-10 
-    - parameters upper bounds :  4 2 1.95977 
-    - variance bounds :  0.1265805 13.31636 
-    - best initial criterion value(s) :  -127.3602 
+    - parameters upper bounds :  4 2 1.976942 
+    - variance bounds :  0.09307685 9.419923 
+    - best initial criterion value(s) :  -740.3592 
   
   N = 4, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=       127.36  |proj g|=       11.737
-  At iterate     1  f =          113  |proj g|=        1.7025
-  At iterate     2  f =        76.35  |proj g|=       0.67906
-  At iterate     3  f =       76.335  |proj g|=      0.056152
-  At iterate     4  f =       76.335  |proj g|=     0.0041673
-  At iterate     5  f =       76.335  |proj g|=    2.3373e-05
-  At iterate     6  f =       76.335  |proj g|=    9.6611e-09
+  At iterate     0  f=       740.36  |proj g|=       8.1492
+  At iterate     1  f =       104.44  |proj g|=         2.397
+  At iterate     2  f =        69.08  |proj g|=         1.012
+  ys=-1.291e+01  -gs= 1.993e+01, BFGS update SKIPPED
+  At iterate     3  f =       68.965  |proj g|=       0.98112
+  At iterate     4  f =       68.772  |proj g|=        3.1099
+  At iterate     5  f =       68.662  |proj g|=       0.85007
+  At iterate     6  f =       68.649  |proj g|=       0.16603
+  At iterate     7  f =       68.648  |proj g|=      0.011664
+  At iterate     8  f =       68.648  |proj g|=    0.00014334
+  At iterate     9  f =       68.648  |proj g|=    1.2187e-07
   
-  iterations 6
-  function evaluations 17
-  segments explored during Cauchy searches 10
-  BFGS updates skipped 0
-  active bounds at final generalized Cauchy point 2
-  norm of the final projected gradient 9.66114e-09
-  final function value 76.3346
+  iterations 9
+  function evaluations 27
+  segments explored during Cauchy searches 12
+  BFGS updates skipped 1
+  active bounds at final generalized Cauchy point 3
+  norm of the final projected gradient 1.21875e-07
+  final function value 68.6482
   
-  F = 76.3346
-  final  value 76.334560 
+  F = 68.6482
+  final  value 68.648241 
   converged
   
   optimisation start
@@ -391,32 +403,34 @@
   * trend model : ~1
   * covariance model : 
     - type :  matern5_2 
-    - nugget : 1.265805e-08 
+    - nugget : 9.307685e-09 
     - parameters lower bounds :  1e-10 1e-10 1e-10 
-    - parameters upper bounds :  4 2 1.95977 
-    - variance bounds :  0.1265805 13.31636 
-    - best initial criterion value(s) :  -62604.66 
+    - parameters upper bounds :  4 2 1.976942 
+    - variance bounds :  0.09307685 9.419923 
+    - best initial criterion value(s) :  -134.425 
   
   N = 4, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=        62605  |proj g|=       11.516
-  At iterate     1  f =          113  |proj g|=        1.7025
-  At iterate     2  f =       76.386  |proj g|=        1.4074
-  At iterate     3  f =       76.335  |proj g|=      0.047341
-  At iterate     4  f =       76.335  |proj g|=     0.0056743
-  At iterate     5  f =       76.335  |proj g|=    2.6835e-05
-  At iterate     6  f =       76.335  |proj g|=    1.5122e-08
+  At iterate     0  f=       134.43  |proj g|=       8.4456
+  At iterate     1  f =       104.44  |proj g|=         2.397
+  At iterate     2  f =       70.016  |proj g|=        1.2014
+  ys=-2.687e+01  -gs= 1.948e+01, BFGS update SKIPPED
+  At iterate     3  f =       68.824  |proj g|=       0.93627
+  At iterate     4  f =       68.649  |proj g|=       0.20434
+  At iterate     5  f =       68.648  |proj g|=      0.057226
+  At iterate     6  f =       68.648  |proj g|=    0.00086496
+  At iterate     7  f =       68.648  |proj g|=    3.5935e-06
   
-  iterations 6
-  function evaluations 23
-  segments explored during Cauchy searches 9
-  BFGS updates skipped 0
-  active bounds at final generalized Cauchy point 3
-  norm of the final projected gradient 1.51216e-08
-  final function value 76.3346
+  iterations 7
+  function evaluations 29
+  segments explored during Cauchy searches 10
+  BFGS updates skipped 1
+  active bounds at final generalized Cauchy point 2
+  norm of the final projected gradient 3.59354e-06
+  final function value 68.6482
   
-  F = 76.3346
-  final  value 76.334560 
+  F = 68.6482
+  final  value 68.648241 
   converged
   
   optimisation start
@@ -427,32 +441,34 @@
   * trend model : ~1
   * covariance model : 
     - type :  matern5_2 
-    - nugget : 1.265805e-08 
+    - nugget : 9.307685e-09 
     - parameters lower bounds :  1e-10 1e-10 1e-10 
-    - parameters upper bounds :  4 2 1.95977 
-    - variance bounds :  0.1265805 13.31636 
-    - best initial criterion value(s) :  -62604.66 
+    - parameters upper bounds :  4 2 1.976942 
+    - variance bounds :  0.09307685 9.419923 
+    - best initial criterion value(s) :  -134.425 
   
   N = 4, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=        62605  |proj g|=       11.516
-  At iterate     1  f =          113  |proj g|=        1.7025
-  At iterate     2  f =       76.386  |proj g|=        1.4074
-  At iterate     3  f =       76.335  |proj g|=      0.047341
-  At iterate     4  f =       76.335  |proj g|=     0.0056743
-  At iterate     5  f =       76.335  |proj g|=    2.6835e-05
-  At iterate     6  f =       76.335  |proj g|=    1.5122e-08
+  At iterate     0  f=       134.43  |proj g|=       8.4456
+  At iterate     1  f =       104.44  |proj g|=         2.397
+  At iterate     2  f =       70.016  |proj g|=        1.2014
+  ys=-2.687e+01  -gs= 1.948e+01, BFGS update SKIPPED
+  At iterate     3  f =       68.824  |proj g|=       0.93627
+  At iterate     4  f =       68.649  |proj g|=       0.20434
+  At iterate     5  f =       68.648  |proj g|=      0.057226
+  At iterate     6  f =       68.648  |proj g|=    0.00086496
+  At iterate     7  f =       68.648  |proj g|=    3.5935e-06
   
-  iterations 6
-  function evaluations 23
-  segments explored during Cauchy searches 9
-  BFGS updates skipped 0
-  active bounds at final generalized Cauchy point 3
-  norm of the final projected gradient 1.51216e-08
-  final function value 76.3346
+  iterations 7
+  function evaluations 29
+  segments explored during Cauchy searches 10
+  BFGS updates skipped 1
+  active bounds at final generalized Cauchy point 2
+  norm of the final projected gradient 3.59354e-06
+  final function value 68.6482
   
-  F = 76.3346
-  final  value 76.334560 
+  F = 68.6482
+  final  value 68.648241 
   converged
   
   optimisation start
@@ -463,34 +479,34 @@
   * trend model : ~1
   * covariance model : 
     - type :  matern5_2 
-    - nugget : 1.265805e-08 
+    - nugget : 9.307685e-09 
     - parameters lower bounds :  1e-10 1e-10 1e-10 
-    - parameters upper bounds :  4 2 1.95977 
-    - variance bounds :  0.1265805 13.31636 
-    - best initial criterion value(s) :  -23362.15 
+    - parameters upper bounds :  4 2 1.976942 
+    - variance bounds :  0.09307685 9.419923 
+    - best initial criterion value(s) :  -826332.8 
   
   N = 4, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=        23362  |proj g|=       12.118
-  At iterate     1  f =          113  |proj g|=        1.7025
-  At iterate     2  f =       77.762  |proj g|=         1.648
-  ys=-2.929e+01  -gs= 1.965e+01, BFGS update SKIPPED
-  At iterate     3  f =       76.472  |proj g|=        1.2533
-  At iterate     4  f =       76.335  |proj g|=       0.11765
-  At iterate     5  f =       76.335  |proj g|=      0.028446
-  At iterate     6  f =       76.335  |proj g|=    0.00033586
-  At iterate     7  f =       76.335  |proj g|=     9.448e-07
+  At iterate     0  f=   8.2633e+05  |proj g|=       8.5966
+  At iterate     1  f =       104.44  |proj g|=         2.397
+  At iterate     2  f =       70.895  |proj g|=        1.3463
+  ys=-3.164e+01  -gs= 1.913e+01, BFGS update SKIPPED
+  At iterate     3  f =       68.648  |proj g|=      0.049178
+  At iterate     4  f =       68.648  |proj g|=    1.6955e-07
+  Bad direction in the line search;
+     refresh the lbfgs memory and restart the iteration.
+  At iterate     5  f =       68.648  |proj g|=    9.6512e-09
   
-  iterations 7
-  function evaluations 31
-  segments explored during Cauchy searches 10
+  iterations 5
+  function evaluations 53
+  segments explored during Cauchy searches 9
   BFGS updates skipped 1
   active bounds at final generalized Cauchy point 3
-  norm of the final projected gradient 9.44804e-07
-  final function value 76.3346
+  norm of the final projected gradient 9.65122e-09
+  final function value 68.6482
   
-  F = 76.3346
-  final  value 76.334560 
+  F = 68.6482
+  final  value 68.648241 
   converged
   
   optimisation start
@@ -501,34 +517,35 @@
   * trend model : ~1
   * covariance model : 
     - type :  matern5_2 
-    - nugget : 1.265805e-08 
+    - nugget : 9.307685e-09 
     - parameters lower bounds :  1e-10 1e-10 1e-10 
-    - parameters upper bounds :  4 2 1.95977 
-    - variance bounds :  0.1265805 13.31636 
-    - best initial criterion value(s) :  -4625.301 
+    - parameters upper bounds :  4 2 1.976942 
+    - variance bounds :  0.09307685 9.419923 
+    - best initial criterion value(s) :  -4148903 
   
   N = 4, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=       4625.3  |proj g|=       11.392
-  At iterate     1  f =          113  |proj g|=        1.7025
-  At iterate     2  f =       77.389  |proj g|=        1.5565
-  ys=-2.564e+01  -gs= 1.981e+01, BFGS update SKIPPED
-  At iterate     3  f =       76.654  |proj g|=        1.3354
-  At iterate     4  f =       76.336  |proj g|=       0.23766
-  At iterate     5  f =       76.335  |proj g|=      0.096339
-  At iterate     6  f =       76.335  |proj g|=     0.0023132
-  At iterate     7  f =       76.335  |proj g|=    2.1861e-05
+  At iterate     0  f=   4.1489e+06  |proj g|=       8.4078
+  At iterate     1  f =       104.44  |proj g|=         2.397
+  At iterate     2  f =       69.943  |proj g|=        1.1885
+  ys=-2.625e+01  -gs= 1.951e+01, BFGS update SKIPPED
+  At iterate     3  f =       69.212  |proj g|=        1.0436
+  At iterate     4  f =       68.659  |proj g|=       0.78016
+  At iterate     5  f =       68.652  |proj g|=       0.48381
+  At iterate     6  f =       68.648  |proj g|=      0.028356
+  At iterate     7  f =       68.648  |proj g|=     0.0009614
+  At iterate     8  f =       68.648  |proj g|=    1.9947e-06
   
-  iterations 7
-  function evaluations 29
-  segments explored during Cauchy searches 10
+  iterations 8
+  function evaluations 32
+  segments explored during Cauchy searches 11
   BFGS updates skipped 1
   active bounds at final generalized Cauchy point 3
-  norm of the final projected gradient 2.1861e-05
-  final function value 76.3346
+  norm of the final projected gradient 1.99468e-06
+  final function value 68.6482
   
-  F = 76.3346
-  final  value 76.334560 
+  F = 68.6482
+  final  value 68.648241 
   converged
   
   optimisation start
@@ -543,48 +560,32 @@
     - 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) :  -292.2855 
+    - best initial criterion value(s) :  -271.1866 
   
   N = 3, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=       292.29  |proj g|=       44.127
-  At iterate     1  f =       291.87  |proj g|=        41.324
-  At iterate     2  f =       291.33  |proj g|=       0.86676
-  At iterate     3  f =       291.02  |proj g|=       0.85204
-  At iterate     4  f =       278.04  |proj g|=        43.934
-  At iterate     5  f =       277.91  |proj g|=        43.923
-  At iterate     6  f =       273.63  |proj g|=        43.845
-  At iterate     7  f =        263.3  |proj g|=        39.278
-  At iterate     8  f =       256.36  |proj g|=        1.3126
-  At iterate     9  f =       248.55  |proj g|=        6.9074
-  At iterate    10  f =       247.34  |proj g|=        3.8477
-  At iterate    11  f =       247.09  |proj g|=       0.23829
-  At iterate    12  f =       247.09  |proj g|=       0.38532
-  At iterate    13  f =       247.09  |proj g|=       0.30455
-  At iterate    14  f =       247.09  |proj g|=       0.23951
-  At iterate    15  f =       247.09  |proj g|=       0.33829
-  At iterate    16  f =       247.09  |proj g|=       0.66408
-  At iterate    17  f =       247.08  |proj g|=        1.1936
-  At iterate    18  f =       247.06  |proj g|=        1.6272
-  At iterate    19  f =          247  |proj g|=        1.6439
-  At iterate    20  f =       246.86  |proj g|=        1.6735
-  At iterate    21  f =       246.83  |proj g|=         1.669
-  At iterate    22  f =       246.53  |proj g|=        1.6907
-  At iterate    23  f =       244.99  |proj g|=        1.6331
-  At iterate    24  f =       243.65  |proj g|=        1.4655
-  At iterate    25  f =       243.31  |proj g|=        1.7282
-  At iterate    26  f =       243.27  |proj g|=       0.36066
-  At iterate    27  f =       243.27  |proj g|=       0.45627
-  At iterate    28  f =       243.26  |proj g|=       0.10024
-  At iterate    29  f =       243.26  |proj g|=     0.0026855
-  At iterate    30  f =       243.26  |proj g|=    2.8218e-06
-  
-  iterations 30
-  function evaluations 42
-  segments explored during Cauchy searches 32
+  At iterate     0  f=       271.19  |proj g|=       15.495
+  At iterate     1  f =       251.98  |proj g|=        1.9901
+  At iterate     2  f =       250.64  |proj g|=        1.9586
+  At iterate     3  f =       245.24  |proj g|=        1.6276
+  At iterate     4  f =       244.76  |proj g|=         1.482
+  At iterate     5  f =       244.62  |proj g|=       0.21363
+  At iterate     6  f =       244.62  |proj g|=       0.21136
+  At iterate     7  f =       244.57  |proj g|=       0.61739
+  At iterate     8  f =       243.98  |proj g|=        1.4912
+  At iterate     9  f =        243.6  |proj g|=         1.447
+  At iterate    10  f =        243.3  |proj g|=         1.384
+  At iterate    11  f =       243.27  |proj g|=         1.728
+  At iterate    12  f =       243.26  |proj g|=       0.28706
+  At iterate    13  f =       243.26  |proj g|=      0.017628
+  At iterate    14  f =       243.26  |proj g|=    5.5851e-05
+  
+  iterations 14
+  function evaluations 22
+  segments explored during Cauchy searches 15
   BFGS updates skipped 0
   active bounds at final generalized Cauchy point 0
-  norm of the final projected gradient 2.82175e-06
+  norm of the final projected gradient 5.58509e-05
   final function value 243.264
   
   F = 243.264
@@ -603,23 +604,23 @@
     - parameters lower bounds :  1e-10 1e-10 
     - parameters upper bounds :  1.880582 44.27959 
     - variance bounds :  3.435024 622.0591 
-    - best initial criterion value(s) :  -956.8501 
+    - best initial criterion value(s) :  -3043.978 
   
   N = 3, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=       956.85  |proj g|=        26.49
-  At iterate     1  f =       323.67  |proj g|=       0.35199
-  At iterate     2  f =       318.25  |proj g|=      0.045809
-  At iterate     3  f =       318.22  |proj g|=     0.0013922
-  At iterate     4  f =       318.22  |proj g|=    9.4397e-05
-  At iterate     5  f =       318.22  |proj g|=    1.7916e-07
+  At iterate     0  f=         3044  |proj g|=       85.601
+  At iterate     1  f =       345.23  |proj g|=       0.29961
+  At iterate     2  f =       318.22  |proj g|=      0.012159
+  At iterate     3  f =       318.22  |proj g|=    0.00065782
+  At iterate     4  f =       318.22  |proj g|=    1.1123e-05
+  At iterate     5  f =       318.22  |proj g|=    9.9639e-09
   
   iterations 5
-  function evaluations 16
+  function evaluations 23
   segments explored during Cauchy searches 7
   BFGS updates skipped 0
   active bounds at final generalized Cauchy point 2
-  norm of the final projected gradient 1.79162e-07
+  norm of the final projected gradient 9.96387e-09
   final function value 318.222
   
   F = 318.222
@@ -638,44 +639,27 @@
     - 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) :  -257.6643 
+    - best initial criterion value(s) :  -948.4036 
   
   N = 3, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=       257.66  |proj g|=      0.27812
-  At iterate     1  f =       255.59  |proj g|=        9.6647
-  At iterate     2  f =       254.32  |proj g|=        19.968
-  At iterate     3  f =       254.07  |proj g|=        21.431
-  At iterate     4  f =       253.05  |proj g|=        23.934
-  At iterate     5  f =       251.85  |proj g|=        22.249
-  At iterate     6  f =       249.38  |proj g|=        14.155
-  At iterate     7  f =       247.33  |proj g|=        1.7063
-  At iterate     8  f =       247.33  |proj g|=        0.2408
-  At iterate     9  f =       247.33  |proj g|=       0.24128
-  At iterate    10  f =       247.31  |proj g|=       0.30527
-  At iterate    11  f =       247.18  |proj g|=        1.3814
-  At iterate    12  f =       246.85  |proj g|=         3.094
-  At iterate    13  f =       246.05  |proj g|=         6.136
-  At iterate    14  f =       245.28  |proj g|=        5.3052
-  At iterate    15  f =       245.07  |proj g|=        15.995
-  At iterate    16  f =       243.86  |proj g|=        7.3689
-  At iterate    17  f =        243.4  |proj g|=       0.84082
-  At iterate    18  f =       243.28  |proj g|=        1.3814
-  At iterate    19  f =       243.26  |proj g|=       0.48156
-  At iterate    20  f =       243.26  |proj g|=      0.040129
-  At iterate    21  f =       243.26  |proj g|=     0.0059288
-  At iterate    22  f =       243.26  |proj g|=     0.0028226
+  At iterate     0  f=        948.4  |proj g|=       14.175
+  At iterate     1  f =       332.76  |proj g|=       0.35761
+  At iterate     2  f =       318.24  |proj g|=      0.038411
+  At iterate     3  f =       318.22  |proj g|=    0.00044964
+  At iterate     4  f =       318.22  |proj g|=    2.2079e-05
+  At iterate     5  f =       318.22  |proj g|=    1.3515e-08
   
-  iterations 22
-  function evaluations 27
-  segments explored during Cauchy searches 23
+  iterations 5
+  function evaluations 19
+  segments explored during Cauchy searches 7
   BFGS updates skipped 0
-  active bounds at final generalized Cauchy point 0
-  norm of the final projected gradient 0.0028226
-  final function value 243.264
+  active bounds at final generalized Cauchy point 2
+  norm of the final projected gradient 1.3515e-08
+  final function value 318.222
   
-  F = 243.264
-  final  value 243.264413 
+  F = 318.222
+  final  value 318.221782 
   converged
   
   optimisation start
@@ -690,49 +674,27 @@
     - 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) :  -304.5973 
+    - best initial criterion value(s) :  -1067.797 
   
   N = 3, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=        304.6  |proj g|=       44.143
-  At iterate     1  f =        285.7  |proj g|=       0.68754
-  At iterate     2  f =       266.51  |proj g|=        32.589
-  At iterate     3  f =       263.26  |proj g|=        29.796
-  At iterate     4  f =       253.55  |proj g|=        2.1086
-  At iterate     5  f =       252.33  |proj g|=        1.8365
-  At iterate     6  f =       252.25  |proj g|=        1.6874
-  At iterate     7  f =       252.24  |proj g|=       0.20728
-  At iterate     8  f =       252.24  |proj g|=       0.20697
-  At iterate     9  f =       252.24  |proj g|=       0.21067
-  At iterate    10  f =       252.24  |proj g|=        0.4119
-  At iterate    11  f =       252.24  |proj g|=       0.77468
-  At iterate    12  f =       252.23  |proj g|=       0.98858
-  At iterate    13  f =       252.22  |proj g|=        1.4519
-  At iterate    14  f =       252.16  |proj g|=         1.817
-  At iterate    15  f =       251.79  |proj g|=         1.859
-  At iterate    16  f =       250.43  |proj g|=         1.912
-  At iterate    17  f =       249.38  |proj g|=        1.9044
-  At iterate    18  f =       248.98  |proj g|=        1.8702
-  At iterate    19  f =       247.94  |proj g|=        1.8129
-  At iterate    20  f =       247.26  |proj g|=        1.5535
-  At iterate    21  f =       244.21  |proj g|=        1.5463
-  At iterate    22  f =       243.47  |proj g|=        1.4315
-  At iterate    23  f =       243.27  |proj g|=        1.7287
-  At iterate    24  f =       243.27  |proj g|=       0.15356
-  At iterate    25  f =       243.26  |proj g|=      0.041659
-  At iterate    26  f =       243.26  |proj g|=     0.0016049
-  At iterate    27  f =       243.26  |proj g|=     0.0068524
+  At iterate     0  f=       1067.8  |proj g|=       28.129
+  At iterate     1  f =       325.09  |proj g|=        0.3617
+  At iterate     2  f =       318.24  |proj g|=      0.042578
+  At iterate     3  f =       318.22  |proj g|=     0.0015351
+  At iterate     4  f =       318.22  |proj g|=    9.6184e-05
+  At iterate     5  f =       318.22  |proj g|=    2.0134e-07
   
-  iterations 27
-  function evaluations 37
-  segments explored during Cauchy searches 29
+  iterations 5
+  function evaluations 16
+  segments explored during Cauchy searches 7
   BFGS updates skipped 0
-  active bounds at final generalized Cauchy point 0
-  norm of the final projected gradient 0.00685243
-  final function value 243.264
+  active bounds at final generalized Cauchy point 2
+  norm of the final projected gradient 2.0134e-07
+  final function value 318.222
   
-  F = 243.264
-  final  value 243.264413 
+  F = 318.222
+  final  value 318.221782 
   converged
   
   optimisation start
@@ -743,34 +705,53 @@
   * trend model : ~1
   * covariance model : 
     - type :  matern5_2 
-    - nugget : 8.395745e-09 
+    - nugget : 8.17048e-09 
     - parameters lower bounds :  1e-10 1e-10 1e-10 
-    - parameters upper bounds :  4 2 1.943108 
-    - variance bounds :  0.08197438 8.395745 
-    - best initial criterion value(s) :  -13981.52 
+    - parameters upper bounds :  4 2 1.838874 
+    - variance bounds :  0.07941048 8.17048 
+    - best initial criterion value(s) :  -92.05552 
   
   N = 4, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=        13982  |proj g|=       7.7428
-  At iterate     1  f =       101.59  |proj g|=        2.6859
-  At iterate     2  f =       68.486  |proj g|=        1.2402
-  ys=-3.152e+01  -gs= 1.900e+01, BFGS update SKIPPED
-  At iterate     3  f =       66.126  |proj g|=       0.79851
-  At iterate     4  f =       66.071  |proj g|=        0.1139
-  At iterate     5  f =        66.07  |proj g|=      0.016713
-  At iterate     6  f =        66.07  |proj g|=    0.00012632
-  At iterate     7  f =        66.07  |proj g|=    1.3878e-07
+  At iterate     0  f=       92.056  |proj g|=       7.3849
+  At iterate     1  f =       77.409  |proj g|=        3.1268
+  At iterate     2  f =       65.195  |proj g|=         1.394
+  At iterate     3  f =       64.994  |proj g|=         1.413
+  At iterate     4  f =       64.794  |proj g|=        1.8307
+  At iterate     5  f =       64.784  |proj g|=          1.83
+  At iterate     6  f =       64.783  |proj g|=        1.2208
+  At iterate     7  f =       64.782  |proj g|=        1.2197
+  At iterate     8  f =       64.778  |proj g|=          1.83
+  At iterate     9  f =       64.763  |proj g|=          1.83
+  At iterate    10  f =       64.728  |proj g|=          1.83
+  At iterate    11  f =       64.647  |proj g|=        1.8297
+  At iterate    12  f =       64.545  |proj g|=        1.8276
+  At iterate    13  f =       64.529  |proj g|=        1.8297
+  At iterate    14  f =       64.352  |proj g|=        1.8285
+  At iterate    15  f =       64.249  |proj g|=       0.89784
+  At iterate    16  f =        64.23  |proj g|=       0.84685
+  At iterate    17  f =        64.23  |proj g|=       0.83122
+  At iterate    18  f =       64.228  |proj g|=        1.8279
+  At iterate    19  f =       64.171  |proj g|=         1.828
+  At iterate    20  f =       63.794  |proj g|=         1.827
+  At iterate    21  f =       63.786  |proj g|=       0.72503
+  At iterate    22  f =       63.652  |proj g|=       0.71489
+  At iterate    23  f =       63.648  |proj g|=       0.24604
+  At iterate    24  f =       63.642  |proj g|=        1.0488
+  At iterate    25  f =       63.642  |proj g|=      0.012168
+  At iterate    26  f =       63.642  |proj g|=     0.0015239
+  At iterate    27  f =       63.642  |proj g|=    9.8449e-06
   
-  iterations 7
-  function evaluations 30
-  segments explored during Cauchy searches 10
-  BFGS updates skipped 1
-  active bounds at final generalized Cauchy point 3
-  norm of the final projected gradient 1.38776e-07
-  final function value 66.0704
+  iterations 27
+  function evaluations 43
+  segments explored during Cauchy searches 30
+  BFGS updates skipped 0
+  active bounds at final generalized Cauchy point 1
+  norm of the final projected gradient 9.84494e-06
+  final function value 63.6424
   
-  F = 66.0704
-  final  value 66.070358 
+  F = 63.6424
+  final  value 63.642395 
   converged
   
   optimisation start
@@ -781,34 +762,53 @@
   * trend model : ~1
   * covariance model : 
     - type :  matern5_2 
-    - nugget : 8.395745e-09 
+    - nugget : 8.17048e-09 
     - parameters lower bounds :  1e-10 1e-10 1e-10 
-    - parameters upper bounds :  4 2 1.943108 
-    - variance bounds :  0.08197438 8.395745 
-    - best initial criterion value(s) :  -13981.52 
+    - parameters upper bounds :  4 2 1.838874 
+    - variance bounds :  0.07941048 8.17048 
+    - best initial criterion value(s) :  -92.05552 
   
   N = 4, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=        13982  |proj g|=       7.7428
-  At iterate     1  f =       101.59  |proj g|=        2.6859
-  At iterate     2  f =       68.486  |proj g|=        1.2402
-  ys=-3.152e+01  -gs= 1.900e+01, BFGS update SKIPPED
-  At iterate     3  f =       66.126  |proj g|=       0.79851
-  At iterate     4  f =       66.071  |proj g|=        0.1139
-  At iterate     5  f =        66.07  |proj g|=      0.016713
-  At iterate     6  f =        66.07  |proj g|=    0.00012632
-  At iterate     7  f =        66.07  |proj g|=    1.3878e-07
+  At iterate     0  f=       92.056  |proj g|=       7.3849
+  At iterate     1  f =       77.409  |proj g|=        3.1268
+  At iterate     2  f =       65.195  |proj g|=         1.394
+  At iterate     3  f =       64.994  |proj g|=         1.413
+  At iterate     4  f =       64.794  |proj g|=        1.8307
+  At iterate     5  f =       64.784  |proj g|=          1.83
+  At iterate     6  f =       64.783  |proj g|=        1.2208
+  At iterate     7  f =       64.782  |proj g|=        1.2197
+  At iterate     8  f =       64.778  |proj g|=          1.83
+  At iterate     9  f =       64.763  |proj g|=          1.83
+  At iterate    10  f =       64.728  |proj g|=          1.83
+  At iterate    11  f =       64.647  |proj g|=        1.8297
+  At iterate    12  f =       64.545  |proj g|=        1.8276
+  At iterate    13  f =       64.529  |proj g|=        1.8297
+  At iterate    14  f =       64.352  |proj g|=        1.8285
+  At iterate    15  f =       64.249  |proj g|=       0.89784
+  At iterate    16  f =        64.23  |proj g|=       0.84685
+  At iterate    17  f =        64.23  |proj g|=       0.83122
+  At iterate    18  f =       64.228  |proj g|=        1.8279
+  At iterate    19  f =       64.171  |proj g|=         1.828
+  At iterate    20  f =       63.794  |proj g|=         1.827
+  At iterate    21  f =       63.786  |proj g|=       0.72503
+  At iterate    22  f =       63.652  |proj g|=       0.71489
+  At iterate    23  f =       63.648  |proj g|=       0.24604
+  At iterate    24  f =       63.642  |proj g|=        1.0488
+  At iterate    25  f =       63.642  |proj g|=      0.012168
+  At iterate    26  f =       63.642  |proj g|=     0.0015239
+  At iterate    27  f =       63.642  |proj g|=    9.8449e-06
   
-  iterations 7
-  function evaluations 30
-  segments explored during Cauchy searches 10
-  BFGS updates skipped 1
-  active bounds at final generalized Cauchy point 3
-  norm of the final projected gradient 1.38776e-07
-  final function value 66.0704
+  iterations 27
+  function evaluations 43
+  segments explored during Cauchy searches 30
+  BFGS updates skipped 0
+  active bounds at final generalized Cauchy point 1
+  norm of the final projected gradient 9.84494e-06
+  final function value 63.6424
   
-  F = 66.0704
-  final  value 66.070358 
+  F = 63.6424
+  final  value 63.642395 
   converged
   
   optimisation start
@@ -819,34 +819,31 @@
   * trend model : ~1
   * covariance model : 
     - type :  matern5_2 
-    - nugget : 8.395745e-09 
+    - nugget : 8.17048e-09 
     - parameters lower bounds :  1e-10 1e-10 1e-10 
-    - parameters upper bounds :  4 2 1.943108 
-    - variance bounds :  0.08197438 8.395745 
-    - best initial criterion value(s) :  -100505.1 
+    - parameters upper bounds :  4 2 1.838874 
+    - variance bounds :  0.07941048 8.17048 
+    - best initial criterion value(s) :  -113.4712 
   
   N = 4, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=   1.0051e+05  |proj g|=       7.5596
-  At iterate     1  f =       101.59  |proj g|=        2.6859
-  At iterate     2  f =       67.219  |proj g|=        1.0503
-  ys=-2.433e+01  -gs= 1.951e+01, BFGS update SKIPPED
-  At iterate     3  f =       66.159  |proj g|=       0.81399
-  At iterate     4  f =        66.07  |proj g|=       0.08215
-  At iterate     5  f =        66.07  |proj g|=      0.015385
-  At iterate     6  f =        66.07  |proj g|=    8.3654e-05
-  At iterate     7  f =        66.07  |proj g|=    8.4611e-08
+  At iterate     0  f=       113.47  |proj g|=       7.4949
+  At iterate     1  f =       100.91  |proj g|=        2.7599
+  At iterate     2  f =       65.427  |proj g|=        1.8262
+  At iterate     3  f =        65.39  |proj g|=      0.028447
+  At iterate     4  f =        65.39  |proj g|=     0.0029151
+  At iterate     5  f =        65.39  |proj g|=    5.3253e-06
   
-  iterations 7
-  function evaluations 32
-  segments explored during Cauchy searches 10
-  BFGS updates skipped 1
+  iterations 5
+  function evaluations 13
+  segments explored during Cauchy searches 8
+  BFGS updates skipped 0
   active bounds at final generalized Cauchy point 3
-  norm of the final projected gradient 8.46108e-08
-  final function value 66.0704
+  norm of the final projected gradient 5.3253e-06
+  final function value 65.3904
   
-  F = 66.0704
-  final  value 66.070358 
+  F = 65.3904
+  final  value 65.390424 
   converged
   
   optimisation start
@@ -857,34 +854,31 @@
   * trend model : ~1
   * covariance model : 
     - type :  matern5_2 
-    - nugget : 8.395745e-09 
+    - nugget : 8.17048e-09 
     - parameters lower bounds :  1e-10 1e-10 1e-10 
-    - parameters upper bounds :  4 2 1.943108 
-    - variance bounds :  0.08197438 8.395745 
-    - best initial criterion value(s) :  -100505.1 
+    - parameters upper bounds :  4 2 1.838874 
+    - variance bounds :  0.07941048 8.17048 
+    - best initial criterion value(s) :  -113.4712 
   
   N = 4, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=   1.0051e+05  |proj g|=       7.5596
-  At iterate     1  f =       101.59  |proj g|=        2.6859
-  At iterate     2  f =       67.219  |proj g|=        1.0503
-  ys=-2.433e+01  -gs= 1.951e+01, BFGS update SKIPPED
-  At iterate     3  f =       66.159  |proj g|=       0.81399
-  At iterate     4  f =        66.07  |proj g|=       0.08215
-  At iterate     5  f =        66.07  |proj g|=      0.015385
-  At iterate     6  f =        66.07  |proj g|=    8.3654e-05
-  At iterate     7  f =        66.07  |proj g|=    8.4611e-08
+  At iterate     0  f=       113.47  |proj g|=       7.4949
+  At iterate     1  f =       100.91  |proj g|=        2.7599
+  At iterate     2  f =       65.427  |proj g|=        1.8262
+  At iterate     3  f =        65.39  |proj g|=      0.028447
+  At iterate     4  f =        65.39  |proj g|=     0.0029151
+  At iterate     5  f =        65.39  |proj g|=    5.3253e-06
   
-  iterations 7
-  function evaluations 32
-  segments explored during Cauchy searches 10
-  BFGS updates skipped 1
+  iterations 5
+  function evaluations 13
+  segments explored during Cauchy searches 8
+  BFGS updates skipped 0
   active bounds at final generalized Cauchy point 3
-  norm of the final projected gradient 8.46108e-08
-  final function value 66.0704
+  norm of the final projected gradient 5.3253e-06
+  final function value 65.3904
   
-  F = 66.0704
-  final  value 66.070358 
+  F = 65.3904
+  final  value 65.390424 
   converged
   
   optimisation start
@@ -895,34 +889,35 @@
   * trend model : ~1
   * covariance model : 
     - type :  matern5_2 
-    - nugget : 8.395745e-09 
+    - nugget : 8.17048e-09 
     - parameters lower bounds :  1e-10 1e-10 1e-10 
-    - parameters upper bounds :  4 2 1.943108 
-    - variance bounds :  0.08197438 8.395745 
-    - best initial criterion value(s) :  -21584.87 
+    - parameters upper bounds :  4 2 1.838874 
+    - variance bounds :  0.07941048 8.17048 
+    - best initial criterion value(s) :  -204.3272 
   
   N = 4, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=        21585  |proj g|=       7.4797
-  At iterate     1  f =       101.59  |proj g|=        2.6859
-  At iterate     2  f =       66.709  |proj g|=         7.734
-  At iterate     3  f =       66.162  |proj g|=        0.8154
-  At iterate     4  f =       66.083  |proj g|=       0.76799
-  At iterate     5  f =       66.071  |proj g|=       0.19637
-  At iterate     6  f =        66.07  |proj g|=      0.012968
-  At iterate     7  f =        66.07  |proj g|=    0.00016513
-  At iterate     8  f =        66.07  |proj g|=     1.411e-07
+  At iterate     0  f=       204.33  |proj g|=       7.4038
+  At iterate     1  f =       100.91  |proj g|=        2.7599
+  At iterate     2  f =       66.783  |proj g|=        1.0608
+  ys=-2.649e+01  -gs= 1.940e+01, BFGS update SKIPPED
+  At iterate     3  f =       66.272  |proj g|=       0.97783
+  At iterate     4  f =       65.423  |proj g|=       0.76332
+  At iterate     5  f =       65.391  |proj g|=       0.13237
+  At iterate     6  f =        65.39  |proj g|=      0.014428
+  At iterate     7  f =        65.39  |proj g|=    0.00012351
+  At iterate     8  f =        65.39  |proj g|=    1.1402e-07
   
   iterations 8
-  function evaluations 25
+  function evaluations 24
   segments explored during Cauchy searches 11
-  BFGS updates skipped 0
+  BFGS updates skipped 1
   active bounds at final generalized Cauchy point 3
-  norm of the final projected gradient 1.41098e-07
-  final function value 66.0704
+  norm of the final projected gradient 1.14017e-07
+  final function value 65.3904
   
-  F = 66.0704
-  final  value 66.070358 
+  F = 65.3904
+  final  value 65.390424 
   converged
   
   optimisation start
@@ -933,35 +928,35 @@
   * trend model : ~1
   * covariance model : 
     - type :  matern5_2 
-    - nugget : 8.395745e-09 
+    - nugget : 8.17048e-09 
     - parameters lower bounds :  1e-10 1e-10 1e-10 
-    - parameters upper bounds :  4 2 1.943108 
-    - variance bounds :  0.08197438 8.395745 
-    - best initial criterion value(s) :  -19952657 
+    - parameters upper bounds :  4 2 1.838874 
+    - variance bounds :  0.07941048 8.17048 
+    - best initial criterion value(s) :  -93.22445 
   
   N = 4, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=   1.9953e+07  |proj g|=       7.8393
-  At iterate     1  f =       101.59  |proj g|=        2.6859
-  At iterate     2  f =       67.885  |proj g|=        1.1539
-  ys=-2.918e+01  -gs= 1.923e+01, BFGS update SKIPPED
-  At iterate     3  f =       67.116  |proj g|=        1.0329
-  At iterate     4  f =       66.097  |proj g|=       0.77987
-  At iterate     5  f =       66.071  |proj g|=       0.11805
-  At iterate     6  f =        66.07  |proj g|=      0.011599
-  At iterate     7  f =        66.07  |proj g|=    9.0931e-05
-  At iterate     8  f =        66.07  |proj g|=    6.9359e-08
+  At iterate     0  f=       93.224  |proj g|=       7.2052
+  At iterate     1  f =       80.192  |proj g|=         3.252
+  At iterate     2  f =       75.732  |proj g|=        2.0434
+  At iterate     3  f =       74.397  |proj g|=        2.0716
+  At iterate     4  f =       68.804  |proj g|=        7.5524
+  At iterate     5  f =       66.063  |proj g|=          7.53
+  At iterate     6  f =       65.391  |proj g|=       0.14325
+  At iterate     7  f =        65.39  |proj g|=      0.051986
+  At iterate     8  f =        65.39  |proj g|=    0.00048462
+  At iterate     9  f =        65.39  |proj g|=    1.6205e-06
   
-  iterations 8
-  function evaluations 35
-  segments explored during Cauchy searches 11
-  BFGS updates skipped 1
-  active bounds at final generalized Cauchy point 2
-  norm of the final projected gradient 6.93589e-08
-  final function value 66.0704
+  iterations 9
+  function evaluations 17
+  segments explored during Cauchy searches 13
+  BFGS updates skipped 0
+  active bounds at final generalized Cauchy point 1
+  norm of the final projected gradient 1.62047e-06
+  final function value 65.3904
   
-  F = 66.0704
-  final  value 66.070358 
+  F = 65.3904
+  final  value 65.390424 
   converged
   
   optimisation start
@@ -976,54 +971,42 @@
     - parameters lower bounds :  1e-10 1e-10 
     - parameters upper bounds :  1.880582 44.27959 
     - variance bounds :  3.435024 622.0591 
-    - best initial criterion value(s) :  -293.7611 
+    - best initial criterion value(s) :  -301.9916 
   
   N = 3, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=       293.76  |proj g|=        2.285
-  At iterate     1  f =       265.81  |proj g|=        4.5613
-  At iterate     2  f =       265.04  |proj g|=        1.9179
-  At iterate     3  f =       265.04  |proj g|=        1.8353
-  At iterate     4  f =          265  |proj g|=        1.8356
-  At iterate     5  f =       264.79  |proj g|=        1.8353
-  At iterate     6  f =       264.51  |proj g|=        1.8333
-  At iterate     7  f =       264.22  |proj g|=        1.8297
-  At iterate     8  f =        263.5  |proj g|=        2.2591
-  At iterate     9  f =       263.19  |proj g|=        4.0876
-  At iterate    10  f =       260.96  |proj g|=        2.7428
-  At iterate    11  f =       257.34  |proj g|=        8.1971
-  At iterate    12  f =       256.05  |proj g|=        21.484
-  At iterate    13  f =       249.72  |proj g|=        1.7874
-  At iterate    14  f =       249.37  |proj g|=           1.7
-  At iterate    15  f =       249.33  |proj g|=       0.92909
-  At iterate    16  f =       249.33  |proj g|=       0.23155
-  At iterate    17  f =       249.33  |proj g|=       0.23119
-  At iterate    18  f =       249.33  |proj g|=       0.22962
-  At iterate    19  f =       249.33  |proj g|=       0.22759
-  At iterate    20  f =       249.33  |proj g|=       0.34556
-  At iterate    21  f =       249.32  |proj g|=       0.42373
-  At iterate    22  f =        249.3  |proj g|=       0.32918
-  At iterate    23  f =       249.26  |proj g|=       0.27011
-  At iterate    24  f =       249.17  |proj g|=        1.7253
-  At iterate    25  f =       248.69  |proj g|=         6.659
-  At iterate    26  f =       248.45  |proj g|=        8.6238
-  At iterate    27  f =       247.35  |proj g|=        14.251
-  At iterate    28  f =       246.24  |proj g|=        17.884
-  At iterate    29  f =       245.59  |proj g|=        18.139
-  At iterate    30  f =       243.96  |proj g|=         9.598
-  At iterate    31  f =       243.41  |proj g|=        0.4791
-  At iterate    32  f =        243.3  |proj g|=        1.7314
-  At iterate    33  f =       243.27  |proj g|=        1.2001
-  At iterate    34  f =       243.26  |proj g|=       0.15257
-  At iterate    35  f =       243.26  |proj g|=      0.030457
-  At iterate    36  f =       243.26  |proj g|=    0.00083673
-  
-  iterations 36
-  function evaluations 49
-  segments explored during Cauchy searches 37
+  At iterate     0  f=       301.99  |proj g|=        44.04
+  At iterate     1  f =       261.37  |proj g|=        5.2815
+  At iterate     2  f =       256.39  |proj g|=        18.149
+  At iterate     3  f =       254.56  |proj g|=        8.1024
+  At iterate     4  f =       252.58  |proj g|=        1.3348
+  At iterate     5  f =       252.55  |proj g|=       0.20327
+  At iterate     6  f =       252.55  |proj g|=       0.20453
+  At iterate     7  f =       252.55  |proj g|=        1.6877
+  At iterate     8  f =       252.54  |proj g|=        1.6887
+  At iterate     9  f =       252.52  |proj g|=        1.6905
+  At iterate    10  f =       252.48  |proj g|=        1.6934
+  At iterate    11  f =       252.35  |proj g|=        1.6987
+  At iterate    12  f =       252.01  |proj g|=        1.7085
+  At iterate    13  f =       251.01  |proj g|=         1.729
+  At iterate    14  f =       249.57  |proj g|=        1.7509
+  At iterate    15  f =       248.37  |proj g|=        1.7744
+  At iterate    16  f =        247.8  |proj g|=        1.8254
+  At iterate    17  f =       246.31  |proj g|=          1.75
+  At iterate    18  f =       243.45  |proj g|=        1.4142
+  At iterate    19  f =        243.3  |proj g|=       0.49453
+  At iterate    20  f =       243.28  |proj g|=        1.7282
+  At iterate    21  f =       243.26  |proj g|=       0.26314
+  At iterate    22  f =       243.26  |proj g|=      0.039988
+  At iterate    23  f =       243.26  |proj g|=     0.0058236
+  At iterate    24  f =       243.26  |proj g|=    0.00075311
+  
+  iterations 24
+  function evaluations 35
+  segments explored during Cauchy searches 26
   BFGS updates skipped 0
   active bounds at final generalized Cauchy point 0
-  norm of the final projected gradient 0.000836732
+  norm of the final projected gradient 0.000753112
   final function value 243.264
   
   F = 243.264
@@ -1042,23 +1025,26 @@
     - 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) :  -1406.294 
+    - best initial criterion value(s) :  -558.9219 
   
   N = 3, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=       1406.3  |proj g|=       50.644
-  At iterate     1  f =       330.76  |proj g|=       0.36361
-  At iterate     2  f =       318.24  |proj g|=      0.033253
-  At iterate     3  f =       318.22  |proj g|=     0.0017717
-  At iterate     4  f =       318.22  |proj g|=    8.5248e-05
-  At iterate     5  f =       318.22  |proj g|=    2.0604e-07
+  At iterate     0  f=       558.92  |proj g|=       13.788
+  At iterate     1  f =       322.73  |proj g|=       0.34146
+  At iterate     2  f =       319.26  |proj g|=       0.22681
+  At iterate     3  f =       318.33  |proj g|=      0.087133
+  At iterate     4  f =       318.26  |proj g|=      0.059028
+  At iterate     5  f =       318.22  |proj g|=     0.0074084
+  At iterate     6  f =       318.22  |proj g|=    0.00054756
+  At iterate     7  f =       318.22  |proj g|=    5.5938e-06
+  At iterate     8  f =       318.22  |proj g|=    4.1703e-09
   
-  iterations 5
-  function evaluations 13
-  segments explored during Cauchy searches 7
+  iterations 8
+  function evaluations 14
+  segments explored during Cauchy searches 9
   BFGS updates skipped 0
   active bounds at final generalized Cauchy point 2
-  norm of the final projected gradient 2.06041e-07
+  norm of the final projected gradient 4.17027e-09
   final function value 318.222
   
   F = 318.222
> library(data.table, lib.loc=R.home("library"))
> (sig.diff.dt <- myDiff(Rvers))
Key: <checking>
Empty data.table (0 rows and 3 cols): checking,master,release
> 
> ## If there are significant differences, use git bisect to find when
> ## they started.
> if(nrow(sig.diff.dt)){
+   dt.git <- file.path(task.dir, "data.table.git")
+   system(paste("cd ~/R/data.table && git fetch --tags"))
+   system(paste("git clone ~/R/data.table", dt.git))
+   release.tag <- gsub(".tar.gz|.*_", "", cargs[["release"]])
+   rev.parse.cmd <- paste(
+     "cd", dt.git, "&& git rev-parse master")
+   master.sha <- system(rev.parse.cmd, intern=TRUE)
+   merge.base.cmd <- paste(
+     "cd", dt.git, "&& git merge-base master", release.tag)
+   merge.base.sha <- system(merge.base.cmd, intern=TRUE)
+   old.sha <- merge.base.sha
+   run_R <- file.path(proj.dir, "install_dt_then_check_dep.R")
+   sig.diff.dt[, first.bad.commit := NA_character_]
+   sig.diff.dt[, comments := NA_character_]
+   for(diff.i in 1:nrow(sig.diff.dt)){
+     sig.diff.row <- sig.diff.dt[diff.i]
+     bisect.cmd <- paste(
+       "cd", dt.git, "&&",
+       "git bisect start &&",
+       "git bisect old", old.sha, "&&",
+       "git bisect new master &&",
+       "git bisect run",
+       R.home('bin/Rscript'),
+       run_R,
+       shQuote(sig.diff.row$checking),
+       sig.diff.row$release,
+       rev.dep.release.tar.gz,
+       release.tag)
+     print(bisect.cmd)
+     bisect.out <- system(bisect.cmd, intern=TRUE)
+     cat(bisect.out,sep="\n")
+     if(is.null(attr(bisect.out,"status"))){
+       first.bad.sha <- nc::capture_all_str(
+         bisect.out,
+         sha="[0-9a-f]+",
+         " is the first new commit")$sha
+       parent.cmd <- paste(
+         "cd ~/R/data.table && git log --pretty=%P -n 1",
+         first.bad.sha)
+       parent.sha <- system(parent.cmd, intern=TRUE)
+       sig.diff.dt[diff.i, first.bad.commit := first.bad.sha]
+       parent.msg <- paste0("parent=", parent.sha)
+       this.comment <- if(parent.sha==old.sha){
+         paste(parent.msg, "same as git bisect old")
+       }else if(first.bad.sha==master.sha){
+         paste("same as git bisect new=master,", parent.msg)
+       }else{
+         parent.msg
+       }
+       sig.diff.dt[diff.i, comments := this.comment]
+     }
+   }
+   ## add CRAN column.
+   sig.diff.dt[, CRAN := {
+     flavor <- get_flavor(Rvers)
+     details <- data.table(flavor=unique(flavor))[, {
+       base <- "https://www.r-project.org/nosvn/R.check/"
+       u <- paste0(base, flavor, "/", rev.dep, "-00check.txt")
+       check.txt <- tempfile()
+       tryCatch({
+         download.file(u, check.txt, quiet=TRUE)
+       }, error=function(e){
+         NULL
+       })
+       check.lines <- if(file.exists(check.txt)){
+         readLines(check.txt,encoding="UTF-8")
+       }else{
+         ""
+       }
+       repl.lines <- gsub("[\u2018\u2019]", "'", check.lines)
+       ##gsub("[‘’]", "'", check.lines) does not work with LC_ALL=C.
+       myStatus(line.vec=repl.lines)
+     }, by=flavor]
+     select.dt <- data.table(flavor, checking)
+     details[select.dt, msg, on=.(flavor, checking)]
+   }]
+   dir.create(file.path(job.dir, Rvers))
+   diffs.csv <- file.path(job.dir, Rvers, "significant_differences.csv")
+   data.table::fwrite(sig.diff.dt, diffs.csv)
+   print(sig.diff.dt)
+ }
>