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

WARNING: ignoring environment value of R_HOME

R Under development (unstable) (2025-03-27 r88065) -- "Unsuffered Consequences"
Copyright (C) 2025 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu

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

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

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
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> cargs <- commandArgs(trailingOnly=TRUE)
> if(length(cargs)==0){
+   ## before running interactively, make sure to start emacs/R with
+   ## environment defined in /scratch/...check_one.sh, particularly
+   ## R_LIBS_USER=/tmp/... otherwise we get error when installing
+   ## data.table.
+   base <- "/scratch/th798/data.table-revdeps/*"
+   cargs <- c(
+     Sys.glob(file.path(base,"deps.csv")),
+     "349",
+     Sys.glob(file.path(base, "data.table_release_*tar.gz")),
+     Sys.glob(file.path(base, "data.table_master_*tar.gz"))
+   )
+ }
> names(cargs) <- c("deps.csv", "task.str", "release", "master")
> dput(cargs)
c(deps.csv = "/scratch/th798/data.table-revdeps/2025-03-28/deps.csv", 
task.str = "844", release = "/scratch/th798/data.table-revdeps/2025-03-28/data.table_release_1.17.0.tar.gz", 
master = "/scratch/th798/data.table-revdeps/2025-03-28/data.table_master_1.17.99.2cb03162a21328cc5f68a8c3b0e554f5edfcb5b9.tar.gz"
)
> (task.dir <- dirname(.libPaths()[1]))#should be /tmp/th798/slurmid/R-vers
[1] "/tmp/th798/16170278/R-devel/844"
> if(requireNamespace("R.cache"))R.cache::getCachePath()
Loading required namespace: R.cache
[1] "/tmp/th798/16170278/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/th798/16170278/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] "2025-03-28 01:01:37 MST"
> install.time <- system.time({
+   install.packages(rev.dep, dep=TRUE)
+ })
Installing package into '/tmp/th798/16170278/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/th798/16170278/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/th798/16170278/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/th798/16170278/RtmpJrMf1Q/downloaded_packages'
> cat("Time to install revdep:\n")
Time to install revdep:
> print(install.time)
   user  system elapsed 
 71.214   2.814  76.470 
> print(Sys.time())
[1] "2025-03-28 01:02:53 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] "2025-03-28 01:02:53 MST"
Installing package into '/tmp/th798/16170278/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/th798/16170278/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] "2025-03-28 01:03:20 MST"
* using log directory '/tmp/th798/16170278/R-devel/844/mlr3learners.Rcheck'
* using R Under development (unstable) (2025-03-27 r88065)
* using platform: x86_64-pc-linux-gnu
* R was compiled by
    gcc (Spack GCC) 12.2.0
    GNU Fortran (Spack GCC) 12.2.0
* running under: Red Hat Enterprise Linux 8.10 (Ootpa)
* using session charset: ASCII
* checking for file 'mlr3learners/DESCRIPTION' ... OK
* this is package 'mlr3learners' version '0.10.0'
* package encoding: UTF-8
* checking package namespace information ... OK
* checking package dependencies ... OK
* checking if this is a source package ... OK
* checking if there is a namespace ... OK
* checking for executable files ... OK
* checking for hidden files and directories ... OK
* checking for portable file names ... OK
* checking for sufficient/correct file permissions ... OK
* checking whether package 'mlr3learners' can be installed ... OK
* checking installed package size ... OK
* checking package directory ... OK
* checking DESCRIPTION meta-information ... OK
* checking top-level files ... OK
* checking for left-over files ... OK
* checking index information ... OK
* checking package subdirectories ... OK
* checking code files for non-ASCII characters ... OK
* checking R files for syntax errors ... OK
* checking whether the package can be loaded ... OK
* checking whether the package can be loaded with stated dependencies ... OK
* checking whether the package can be unloaded cleanly ... OK
* checking whether the namespace can be loaded with stated dependencies ... OK
* checking whether the namespace can be unloaded cleanly ... OK
* checking whether startup messages can be suppressed ... OK
* checking dependencies in R code ... OK
* checking S3 generic/method consistency ... OK
* checking replacement functions ... OK
* checking foreign function calls ... OK
* checking R code for possible problems ... OK
* checking Rd files ... OK
* checking Rd metadata ... OK
* checking Rd cross-references ... OK
* checking for missing documentation entries ... OK
* checking for code/documentation mismatches ... OK
* checking Rd \usage sections ... OK
* checking Rd contents ... OK
* checking for unstated dependencies in examples ... OK
* checking examples ... OK
Examples with CPU (user + system) or elapsed time > 5s
                                 user system elapsed
mlr_learners_classif.cv_glmnet 26.599  0.152  26.871
* 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 20.391705 
  converged
  # weights:  3 (2 variable)
  initial  value 20.794415 
  final  value 20.391705 
  converged
  # weights:  3 (2 variable)
  initial  value 20.794415 
  final  value 20.557049 
  converged
  # weights:  3 (2 variable)
  initial  value 20.794415 
  final  value 20.557049 
  converged
  # weights:  3 (2 variable)
  initial  value 20.794415 
  final  value 19.095425 
  converged
  # weights:  3 (2 variable)
  initial  value 20.794415 
  final  value 19.095425 
  converged
  # weights:  6 (5 variable)
  initial  value 20.794415 
  iter  10 value 17.447142
  iter  10 value 17.447142
  iter  10 value 17.447142
  final  value 17.447142 
  converged
  # weights:  6 (5 variable)
  initial  value 20.794415 
  iter  10 value 17.447142
  iter  10 value 17.447142
  iter  10 value 17.447142
  final  value 17.447142 
  converged
  # weights:  6 (5 variable)
  initial  value 20.794415 
  iter  10 value 17.447142
  iter  10 value 17.447142
  iter  10 value 17.447142
  final  value 17.447142 
  converged
  # weights:  6 (5 variable)
  initial  value 20.794415 
  iter  10 value 17.447142
  iter  10 value 17.447142
  iter  10 value 17.447142
  final  value 17.447142 
  converged
  # weights:  6 (5 variable)
  initial  value 8.683176 
  iter  10 value 6.019193
  iter  20 value 6.015134
  final  value 6.015131 
  converged
  # weights:  6 (5 variable)
  initial  value 8.683176 
  iter  10 value 6.019193
  iter  20 value 6.015134
  final  value 6.015131 
  converged
  # weights:  6 (5 variable)
  initial  value 20.794415 
  iter  10 value 17.447142
  iter  10 value 17.447142
  iter  10 value 17.447142
  final  value 17.447142 
  converged
  # weights:  6 (5 variable)
  initial  value 20.794415 
  iter  10 value 17.447142
  iter  10 value 17.447142
  iter  10 value 17.447142
  final  value 17.447142 
  converged
  # weights:  9 (4 variable)
  initial  value 32.958369 
  final  value 31.732830 
  converged
  # weights:  9 (4 variable)
  initial  value 32.958369 
  final  value 31.732830 
  converged
  # weights:  9 (4 variable)
  initial  value 32.958369 
  final  value 31.884179 
  converged
  # weights:  9 (4 variable)
  initial  value 32.958369 
  final  value 31.884179 
  converged
  # weights:  9 (4 variable)
  initial  value 32.958369 
  iter  10 value 32.146552
  final  value 32.146551 
  converged
  # weights:  9 (4 variable)
  initial  value 32.958369 
  iter  10 value 32.146552
  final  value 32.146551 
  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 29.066706
  final  value 29.057981 
  converged
  # weights:  18 (10 variable)
  initial  value 32.958369 
  iter  10 value 29.066706
  final  value 29.057981 
  converged
  # weights:  18 (10 variable)
  initial  value 32.958369 
  iter  10 value 29.066706
  final  value 29.057981 
  converged
  # weights:  18 (10 variable)
  initial  value 32.958369 
  iter  10 value 29.066706
  final  value 29.057981 
  converged
  # weights:  18 (10 variable)
  initial  value 17.176416 
  iter  10 value 15.143048
  iter  20 value 15.131372
  final  value 15.131362 
  converged
  # weights:  18 (10 variable)
  initial  value 17.176416 
  iter  10 value 15.143048
  iter  20 value 15.131372
  final  value 15.131362 
  converged
  # weights:  18 (10 variable)
  initial  value 32.958369 
  iter  10 value 29.066706
  final  value 29.057981 
  converged
  # weights:  18 (10 variable)
  initial  value 32.958369 
  iter  10 value 29.066706
  final  value 29.057981 
  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 : 9.153223e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.959483 
    - variance bounds :  0.09153223 9.169812 
    - best initial criterion value(s) :  -321745.5 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=   3.2175e+05  |proj g|=       8.3146
  At iterate     1  f =       103.79  |proj g|=        2.4596
  At iterate     2  f =       68.513  |proj g|=       0.95522
  ys=-7.773e+00  -gs= 1.998e+01, BFGS update SKIPPED
  At iterate     3  f =       68.373  |proj g|=       0.90855
  At iterate     4  f =       68.256  |proj g|=        1.3626
  At iterate     5  f =       68.231  |proj g|=       0.28822
  At iterate     6  f =        68.23  |proj g|=      0.025762
  At iterate     7  f =        68.23  |proj g|=    0.00054832
  At iterate     8  f =        68.23  |proj g|=     1.016e-06
  
  iterations 8
  function evaluations 31
  segments explored during Cauchy searches 11
  BFGS updates skipped 1
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 1.01599e-06
  final function value 68.2299
  
  F = 68.2299
  final  value 68.229884 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 9.153223e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.959483 
    - variance bounds :  0.09153223 9.169812 
    - best initial criterion value(s) :  -321745.5 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=   3.2175e+05  |proj g|=       8.3146
  At iterate     1  f =       103.79  |proj g|=        2.4596
  At iterate     2  f =       68.513  |proj g|=       0.95522
  ys=-7.773e+00  -gs= 1.998e+01, BFGS update SKIPPED
  At iterate     3  f =       68.373  |proj g|=       0.90855
  At iterate     4  f =       68.256  |proj g|=        1.3626
  At iterate     5  f =       68.231  |proj g|=       0.28822
  At iterate     6  f =        68.23  |proj g|=      0.025762
  At iterate     7  f =        68.23  |proj g|=    0.00054832
  At iterate     8  f =        68.23  |proj g|=     1.016e-06
  
  iterations 8
  function evaluations 31
  segments explored during Cauchy searches 11
  BFGS updates skipped 1
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 1.01599e-06
  final function value 68.2299
  
  F = 68.2299
  final  value 68.229884 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 9.153223e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.959483 
    - variance bounds :  0.09153223 9.169812 
    - best initial criterion value(s) :  -3890.065 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       3890.1  |proj g|=       8.1516
  At iterate     1  f =       103.79  |proj g|=        2.4596
  At iterate     2  f =       69.636  |proj g|=        1.1881
  ys=-2.668e+01  -gs= 1.941e+01, BFGS update SKIPPED
  At iterate     3  f =       68.439  |proj g|=        0.9324
  At iterate     4  f =       68.231  |proj g|=       0.26344
  At iterate     5  f =        68.23  |proj g|=       0.08233
  At iterate     6  f =        68.23  |proj g|=     0.0015823
  At iterate     7  f =        68.23  |proj g|=    9.2815e-06
  
  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 9.28151e-06
  final function value 68.2299
  
  F = 68.2299
  final  value 68.229884 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 9.153223e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.959483 
    - variance bounds :  0.09153223 9.169812 
    - best initial criterion value(s) :  -3890.065 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       3890.1  |proj g|=       8.1516
  At iterate     1  f =       103.79  |proj g|=        2.4596
  At iterate     2  f =       69.636  |proj g|=        1.1881
  ys=-2.668e+01  -gs= 1.941e+01, BFGS update SKIPPED
  At iterate     3  f =       68.439  |proj g|=        0.9324
  At iterate     4  f =       68.231  |proj g|=       0.26344
  At iterate     5  f =        68.23  |proj g|=       0.08233
  At iterate     6  f =        68.23  |proj g|=     0.0015823
  At iterate     7  f =        68.23  |proj g|=    9.2815e-06
  
  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 9.28151e-06
  final function value 68.2299
  
  F = 68.2299
  final  value 68.229884 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 9.153223e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.959483 
    - variance bounds :  0.09153223 9.169812 
    - best initial criterion value(s) :  -17351.62 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=        17352  |proj g|=       7.9148
  At iterate     1  f =       103.79  |proj g|=        2.4596
  At iterate     2  f =       68.269  |proj g|=         1.689
  At iterate     3  f =        68.23  |proj g|=       0.02973
  At iterate     4  f =        68.23  |proj g|=     0.0031434
  At iterate     5  f =        68.23  |proj g|=     6.726e-06
  At iterate     6  f =        68.23  |proj g|=    1.5176e-09
  
  iterations 6
  function evaluations 20
  segments explored during Cauchy searches 9
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 1.51764e-09
  final function value 68.2299
  
  F = 68.2299
  final  value 68.229884 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 9.153223e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.959483 
    - variance bounds :  0.09153223 9.169812 
    - best initial criterion value(s) :  -70.82468 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       70.825  |proj g|=       8.4872
  At iterate     1  f =        69.72  |proj g|=         1.092
  At iterate     2  f =       68.246  |proj g|=       0.83842
  At iterate     3  f =        68.23  |proj g|=      0.045353
  At iterate     4  f =        68.23  |proj g|=     0.0034068
  At iterate     5  f =        68.23  |proj g|=     1.113e-05
  At iterate     6  f =        68.23  |proj g|=    2.7201e-09
  
  iterations 6
  function evaluations 9
  segments explored during Cauchy searches 9
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 1
  norm of the final projected gradient 2.72014e-09
  final function value 68.2299
  
  F = 68.2299
  final  value 68.229884 
  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) :  -621.678 
  
  N = 3, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       621.68  |proj g|=       19.859
  At iterate     1  f =       319.52  |proj g|=       0.24492
  At iterate     2  f =       319.17  |proj g|=       0.21884
  At iterate     3  f =       318.33  |proj g|=      0.089838
  At iterate     4  f =       318.26  |proj g|=      0.057345
  At iterate     5  f =       318.22  |proj g|=      0.007481
  At iterate     6  f =       318.22  |proj g|=    0.00053862
  At iterate     7  f =       318.22  |proj g|=     5.557e-06
  At iterate     8  f =       318.22  |proj g|=    4.0751e-09
  
  iterations 8
  function evaluations 12
  segments explored during Cauchy searches 9
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 1
  norm of the final projected gradient 4.07508e-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) :  -9219.297 
  
  N = 3, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       9219.3  |proj g|=       155.31
  At iterate     1  f =        368.1  |proj g|=       0.19667
  At iterate     2  f =       318.45  |proj g|=       0.12404
  At iterate     3  f =       318.22  |proj g|=      0.012954
  Nonpositive definiteness in Cholesky factorization in formk;
     refresh the lbfgs memory and restart the iteration.
  At iterate     4  f =       318.22  |proj g|=      0.010242
  At iterate     5  f =       318.22  |proj g|=    0.00018788
  At iterate     6  f =       318.22  |proj g|=     2.663e-06
  
  iterations 6
  function evaluations 23
  segments explored during Cauchy searches 10
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 2
  norm of the final projected gradient 2.663e-06
  final function value 318.222
  
  F = 318.222
  final  value 318.221782 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 3.435024e-07 
    - parameters lower bounds :  1e-10 1e-10 
    - parameters upper bounds :  1.880582 44.27959 
    - variance bounds :  3.435024 622.0591 
    - best initial criterion value(s) :  -410.3316 
  
  N = 3, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       410.33  |proj g|=       2.1521
  At iterate     1  f =       327.06  |proj g|=       0.36715
  At iterate     2  f =       318.39  |proj g|=       0.10719
  At iterate     3  f =       318.22  |proj g|=      0.011537
  At iterate     4  f =       318.22  |proj g|=     0.0021178
  At iterate     5  f =       318.22  |proj g|=     3.378e-05
  At iterate     6  f =       318.22  |proj g|=     9.697e-08
  
  iterations 6
  function evaluations 17
  segments explored during Cauchy searches 8
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 2
  norm of the final projected gradient 9.69697e-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) :  -298.6334 
  
  N = 3, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       298.63  |proj g|=      0.91085
  At iterate     1  f =       291.44  |proj g|=        35.479
  At iterate     2  f =       288.36  |proj g|=         44.04
  At iterate     3  f =        286.4  |proj g|=        44.004
  At iterate     4  f =       275.08  |proj g|=        43.774
  At iterate     5  f =       272.45  |proj g|=        43.713
  At iterate     6  f =       258.78  |proj g|=        1.2357
  At iterate     7  f =       250.29  |proj g|=        7.6497
  At iterate     8  f =       249.83  |proj g|=        3.0905
  At iterate     9  f =       249.76  |proj g|=        1.6977
  At iterate    10  f =       249.75  |proj g|=       0.22491
  At iterate    11  f =       249.75  |proj g|=       0.24428
  At iterate    12  f =       249.75  |proj g|=       0.22861
  At iterate    13  f =       249.75  |proj g|=       0.22773
  At iterate    14  f =       249.75  |proj g|=       0.22661
  At iterate    15  f =       249.75  |proj g|=       0.43251
  At iterate    16  f =       249.74  |proj g|=       0.78879
  At iterate    17  f =       249.73  |proj g|=        1.4174
  At iterate    18  f =       249.69  |proj g|=        1.7237
  At iterate    19  f =       249.61  |proj g|=        1.7461
  At iterate    20  f =       249.41  |proj g|=        1.7743
  At iterate    21  f =       248.91  |proj g|=        1.8169
  At iterate    22  f =       248.79  |proj g|=        1.8014
  At iterate    23  f =       247.81  |proj g|=        1.8041
  At iterate    24  f =       246.22  |proj g|=         1.717
  At iterate    25  f =       243.72  |proj g|=        1.4011
  At iterate    26  f =       243.35  |proj g|=        2.1245
  At iterate    27  f =       243.28  |proj g|=        1.7296
  At iterate    28  f =       243.27  |proj g|=       0.15286
  At iterate    29  f =       243.26  |proj g|=       0.27015
  At iterate    30  f =       243.26  |proj g|=     0.0080932
  At iterate    31  f =       243.26  |proj g|=      0.008503
  
  iterations 31
  function evaluations 42
  segments explored during Cauchy searches 33
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 0
  norm of the final projected gradient 0.00850297
  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 : 6.818936e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.927652 
    - variance bounds :  0.06818936 7.227687 
    - best initial criterion value(s) :  -5033.722 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       5033.7  |proj g|=       6.4432
  At iterate     1  f =       97.706  |proj g|=        3.1391
  At iterate     2  f =        61.42  |proj g|=       0.76241
  ys=-1.755e+01  -gs= 2.008e+01, BFGS update SKIPPED
  At iterate     3  f =       61.268  |proj g|=       0.73502
  At iterate     4  f =       60.901  |proj g|=       0.63452
  At iterate     5  f =       60.877  |proj g|=       0.93069
  At iterate     6  f =        60.87  |proj g|=      0.092181
  At iterate     7  f =        60.87  |proj g|=     0.0043453
  At iterate     8  f =        60.87  |proj g|=    2.1553e-05
  At iterate     9  f =        60.87  |proj g|=    5.0081e-09
  
  iterations 9
  function evaluations 28
  segments explored during Cauchy searches 12
  BFGS updates skipped 1
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 5.00813e-09
  final function value 60.8698
  
  F = 60.8698
  final  value 60.869818 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 6.818936e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.927652 
    - variance bounds :  0.06818936 7.227687 
    - best initial criterion value(s) :  -5033.722 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       5033.7  |proj g|=       6.4432
  At iterate     1  f =       97.706  |proj g|=        3.1391
  At iterate     2  f =        61.42  |proj g|=       0.76241
  ys=-1.755e+01  -gs= 2.008e+01, BFGS update SKIPPED
  At iterate     3  f =       61.268  |proj g|=       0.73502
  At iterate     4  f =       60.901  |proj g|=       0.63452
  At iterate     5  f =       60.877  |proj g|=       0.93069
  At iterate     6  f =        60.87  |proj g|=      0.092181
  At iterate     7  f =        60.87  |proj g|=     0.0043453
  At iterate     8  f =        60.87  |proj g|=    2.1553e-05
  At iterate     9  f =        60.87  |proj g|=    5.0081e-09
  
  iterations 9
  function evaluations 28
  segments explored during Cauchy searches 12
  BFGS updates skipped 1
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 5.00813e-09
  final function value 60.8698
  
  F = 60.8698
  final  value 60.869818 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 6.818936e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.927652 
    - variance bounds :  0.06818936 7.227687 
    - best initial criterion value(s) :  -67354.06 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=        67354  |proj g|=        6.659
  At iterate     1  f =       97.706  |proj g|=        3.1391
  At iterate     2  f =       62.382  |proj g|=       0.89854
  ys=-3.034e+01  -gs= 1.965e+01, BFGS update SKIPPED
  At iterate     3  f =       61.766  |proj g|=        0.8163
  At iterate     4  f =       60.903  |proj g|=       0.63551
  At iterate     5  f =        60.87  |proj g|=       0.16384
  At iterate     6  f =        60.87  |proj g|=       0.01806
  At iterate     7  f =        60.87  |proj g|=    0.00015974
  At iterate     8  f =        60.87  |proj g|=    1.5404e-07
  
  iterations 8
  function evaluations 32
  segments explored during Cauchy searches 11
  BFGS updates skipped 1
  active bounds at final generalized Cauchy point 2
  norm of the final projected gradient 1.54041e-07
  final function value 60.8698
  
  F = 60.8698
  final  value 60.869818 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 6.818936e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.927652 
    - variance bounds :  0.06818936 7.227687 
    - best initial criterion value(s) :  -67354.06 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=        67354  |proj g|=        6.659
  At iterate     1  f =       97.706  |proj g|=        3.1391
  At iterate     2  f =       62.382  |proj g|=       0.89854
  ys=-3.034e+01  -gs= 1.965e+01, BFGS update SKIPPED
  At iterate     3  f =       61.766  |proj g|=        0.8163
  At iterate     4  f =       60.903  |proj g|=       0.63551
  At iterate     5  f =        60.87  |proj g|=       0.16384
  At iterate     6  f =        60.87  |proj g|=       0.01806
  At iterate     7  f =        60.87  |proj g|=    0.00015974
  At iterate     8  f =        60.87  |proj g|=    1.5404e-07
  
  iterations 8
  function evaluations 32
  segments explored during Cauchy searches 11
  BFGS updates skipped 1
  active bounds at final generalized Cauchy point 2
  norm of the final projected gradient 1.54041e-07
  final function value 60.8698
  
  F = 60.8698
  final  value 60.869818 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 6.818936e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.927652 
    - variance bounds :  0.06818936 7.227687 
    - best initial criterion value(s) :  -312.2419 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       312.24  |proj g|=       6.1903
  At iterate     1  f =       97.706  |proj g|=        3.1391
  At iterate     2  f =        62.11  |proj g|=       0.86364
  ys=-2.801e+01  -gs= 1.976e+01, BFGS update SKIPPED
  At iterate     3  f =         61.3  |proj g|=       0.74114
  At iterate     4  f =       60.875  |proj g|=         0.614
  At iterate     5  f =       60.871  |proj g|=       0.37658
  At iterate     6  f =        60.87  |proj g|=      0.015465
  At iterate     7  f =        60.87  |proj g|=    0.00030403
  At iterate     8  f =        60.87  |proj g|=    2.5163e-07
  
  iterations 8
  function evaluations 24
  segments explored during Cauchy searches 11
  BFGS updates skipped 1
  active bounds at final generalized Cauchy point 2
  norm of the final projected gradient 2.51631e-07
  final function value 60.8698
  
  F = 60.8698
  final  value 60.869818 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 6.818936e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.927652 
    - variance bounds :  0.06818936 7.227687 
    - best initial criterion value(s) :  -881.7054 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       881.71  |proj g|=       6.2617
  At iterate     1  f =       97.706  |proj g|=        3.1391
  At iterate     2  f =       62.163  |proj g|=       0.87054
  ys=-2.852e+01  -gs= 1.974e+01, BFGS update SKIPPED
  At iterate     3  f =       61.335  |proj g|=        0.7475
  At iterate     4  f =       60.877  |proj g|=       0.61597
  At iterate     5  f =       60.872  |proj g|=       0.45387
  At iterate     6  f =        60.87  |proj g|=       0.02119
  At iterate     7  f =        60.87  |proj g|=    0.00049975
  At iterate     8  f =        60.87  |proj g|=    5.6695e-07
  
  iterations 8
  function evaluations 28
  segments explored during Cauchy searches 11
  BFGS updates skipped 1
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 5.66948e-07
  final function value 60.8698
  
  F = 60.8698
  final  value 60.869818 
  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) :  -290.0556 
  
  N = 3, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       290.06  |proj g|=        2.046
  At iterate     1  f =        284.2  |proj g|=         3.666
  At iterate     2  f =       282.34  |proj g|=        7.8889
  At iterate     3  f =       281.83  |proj g|=        6.1347
  At iterate     4  f =       281.83  |proj g|=        6.2332
  At iterate     5  f =       281.83  |proj g|=        6.2444
  At iterate     6  f =       281.82  |proj g|=         6.344
  At iterate     7  f =       281.81  |proj g|=        6.4567
  At iterate     8  f =       281.77  |proj g|=        6.6771
  At iterate     9  f =       281.67  |proj g|=         7.033
  At iterate    10  f =       281.38  |proj g|=        7.6961
  At iterate    11  f =        280.5  |proj g|=        7.6952
  At iterate    12  f =       259.47  |proj g|=        1.8082
  At iterate    13  f =       259.39  |proj g|=        1.8068
  At iterate    14  f =       257.08  |proj g|=        9.7525
  At iterate    15  f =       253.46  |proj g|=        10.245
  At iterate    16  f =       250.18  |proj g|=        1.8524
  At iterate    17  f =       248.07  |proj g|=        4.5844
  At iterate    18  f =       247.25  |proj g|=        1.0971
  At iterate    19  f =       247.24  |proj g|=        1.7054
  At iterate    20  f =       247.24  |proj g|=       0.24132
  At iterate    21  f =       247.24  |proj g|=       0.24121
  At iterate    22  f =       247.24  |proj g|=       0.24027
  At iterate    23  f =       247.24  |proj g|=       0.59634
  At iterate    24  f =       247.22  |proj g|=        1.1543
  At iterate    25  f =       247.19  |proj g|=        1.6384
  At iterate    26  f =        247.1  |proj g|=         1.665
  At iterate    27  f =       247.07  |proj g|=        1.6667
  At iterate    28  f =       246.85  |proj g|=        1.6884
  At iterate    29  f =       245.82  |proj g|=        1.6982
  At iterate    30  f =       244.86  |proj g|=        1.6342
  At iterate    31  f =       243.55  |proj g|=        1.4643
  At iterate    32  f =       243.32  |proj g|=        2.4343
  At iterate    33  f =       243.27  |proj g|=        1.7292
  At iterate    34  f =       243.27  |proj g|=       0.30799
  At iterate    35  f =       243.26  |proj g|=       0.15258
  At iterate    36  f =       243.26  |proj g|=      0.011772
  At iterate    37  f =       243.26  |proj g|=     0.0010467
  
  iterations 37
  function evaluations 50
  segments explored during Cauchy searches 38
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 0
  norm of the final projected gradient 0.0010467
  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) :  -20177.55 
  
  N = 3, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=        20178  |proj g|=       594.41
  At iterate     1  f =       416.28  |proj g|=      0.075984
  At iterate     2  f =        318.3  |proj g|=      0.089364
  At iterate     3  f =       318.22  |proj g|=      0.015847
  At iterate     4  f =       318.22  |proj g|=     0.0017176
  At iterate     5  f =       318.22  |proj g|=    3.8167e-05
  At iterate     6  f =       318.22  |proj g|=    8.9429e-08
  
  iterations 6
  function evaluations 20
  segments explored during Cauchy searches 8
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 2
  norm of the final projected gradient 8.94293e-08
  final function value 318.222
  
  F = 318.222
  final  value 318.221782 
  converged
  [ FAIL 2 | WARN 227 | SKIP 4 | PASS 547 ]
  
  == Skipped tests (4) ===========================================================
  * On CRAN (4): 'test_classif_nnet.R:2:1', 'test_classif_xgboost.R:2:1',
    'test_regr_nnet.R:2:1', 'test_regr_xgboost.R:2:1'
  
  == Failed tests ================================================================
  -- Failure ('test_classif_ranger.R:8:3'): autotest -----------------------------
  `result` is not TRUE
  
  `actual` is a list
  `expected` is a logical vector (TRUE)
  [train()] learner 'classif.ranger:response' on task 'missings_binary' failed: Error : Missing data in columns: character, factor, integer, logical, numeric, ordered.
  
  -- Failure ('test_regr_ranger.R:7:3'): autotest --------------------------------
  `result` is not TRUE
  
  `actual` is a list
  `expected` is a logical vector (TRUE)
  [train()] learner 'regr.ranger:response' on task 'missings' failed: Error : Missing data in columns: character, factor, integer, logical, numeric, ordered.
  
  
  [ FAIL 2 | WARN 227 | SKIP 4 | PASS 547 ]
  Error: Test failures
  Execution halted
* checking PDF version of manual ... OK
* DONE

Status: 1 ERROR
See
  '/tmp/th798/16170278/R-devel/844/mlr3learners.Rcheck/00check.log'
for details.

[1] "2025-03-28 01:12:00 MST"
[1] "2025-03-28 01:12:00 MST"
Installing package into '/tmp/th798/16170278/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/th798/16170278/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] "2025-03-28 01:12:26 MST"
* using log directory '/tmp/th798/16170278/R-devel/844/mlr3learners.Rcheck'
* using R Under development (unstable) (2025-03-27 r88065)
* using platform: x86_64-pc-linux-gnu
* R was compiled by
    gcc (Spack GCC) 12.2.0
    GNU Fortran (Spack GCC) 12.2.0
* running under: Red Hat Enterprise Linux 8.10 (Ootpa)
* using session charset: ASCII
* checking for file 'mlr3learners/DESCRIPTION' ... OK
* this is package 'mlr3learners' version '0.10.0'
* package encoding: UTF-8
* checking package namespace information ... OK
* checking package dependencies ... OK
* checking if this is a source package ... OK
* checking if there is a namespace ... OK
* checking for executable files ... OK
* checking for hidden files and directories ... OK
* checking for portable file names ... OK
* checking for sufficient/correct file permissions ... OK
* checking whether package 'mlr3learners' can be installed ... OK
* checking installed package size ... OK
* checking package directory ... OK
* checking DESCRIPTION meta-information ... OK
* checking top-level files ... OK
* checking for left-over files ... OK
* checking index information ... OK
* checking package subdirectories ... OK
* checking code files for non-ASCII characters ... OK
* checking R files for syntax errors ... OK
* checking whether the package can be loaded ... OK
* checking whether the package can be loaded with stated dependencies ... OK
* checking whether the package can be unloaded cleanly ... OK
* checking whether the namespace can be loaded with stated dependencies ... OK
* checking whether the namespace can be unloaded cleanly ... OK
* checking whether startup messages can be suppressed ... OK
* checking dependencies in R code ... OK
* checking S3 generic/method consistency ... OK
* checking replacement functions ... OK
* checking foreign function calls ... OK
* checking R code for possible problems ... OK
* checking Rd files ... OK
* checking Rd metadata ... OK
* checking Rd cross-references ... OK
* checking for missing documentation entries ... OK
* checking for code/documentation mismatches ... OK
* checking Rd \usage sections ... OK
* checking Rd contents ... OK
* checking for unstated dependencies in examples ... OK
* checking examples ... OK
Examples with CPU (user + system) or elapsed time > 5s
                                 user system elapsed
mlr_learners_classif.cv_glmnet 26.537  0.167   26.83
* 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 20.391705 
  converged
  # weights:  3 (2 variable)
  initial  value 20.794415 
  final  value 20.391705 
  converged
  # weights:  3 (2 variable)
  initial  value 20.794415 
  final  value 20.139332 
  converged
  # weights:  3 (2 variable)
  initial  value 20.794415 
  final  value 20.139332 
  converged
  # weights:  3 (2 variable)
  initial  value 20.794415 
  final  value 19.095425 
  converged
  # weights:  3 (2 variable)
  initial  value 20.794415 
  final  value 19.095425 
  converged
  # weights:  6 (5 variable)
  initial  value 20.794415 
  iter  10 value 17.885198
  final  value 17.885198 
  converged
  # weights:  6 (5 variable)
  initial  value 20.794415 
  iter  10 value 17.885198
  final  value 17.885198 
  converged
  # weights:  6 (5 variable)
  initial  value 20.794415 
  iter  10 value 17.885198
  final  value 17.885198 
  converged
  # weights:  6 (5 variable)
  initial  value 20.794415 
  iter  10 value 17.885198
  final  value 17.885198 
  converged
  # weights:  6 (5 variable)
  initial  value 9.746108 
  iter  10 value 8.555902
  final  value 8.555815 
  converged
  # weights:  6 (5 variable)
  initial  value 9.746108 
  iter  10 value 8.555902
  final  value 8.555815 
  converged
  # weights:  6 (5 variable)
  initial  value 20.794415 
  iter  10 value 17.885198
  final  value 17.885198 
  converged
  # weights:  6 (5 variable)
  initial  value 20.794415 
  iter  10 value 17.885198
  final  value 17.885198 
  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 31.567916 
  converged
  # weights:  9 (4 variable)
  initial  value 32.958369 
  final  value 31.567916 
  converged
  # weights:  9 (4 variable)
  initial  value 32.958369 
  final  value 31.987199 
  converged
  # weights:  9 (4 variable)
  initial  value 32.958369 
  final  value 31.987199 
  converged
  # weights:  9 (4 variable)
  initial  value 32.958369 
  final  value 32.555658 
  converged
  # weights:  9 (4 variable)
  initial  value 32.958369 
  final  value 32.555658 
  converged
  # weights:  18 (10 variable)
  initial  value 32.958369 
  iter  10 value 28.227507
  final  value 28.221062 
  converged
  # weights:  18 (10 variable)
  initial  value 32.958369 
  iter  10 value 28.227507
  final  value 28.221062 
  converged
  # weights:  18 (10 variable)
  initial  value 32.958369 
  iter  10 value 28.227507
  final  value 28.221062 
  converged
  # weights:  18 (10 variable)
  initial  value 32.958369 
  iter  10 value 28.227507
  final  value 28.221062 
  converged
  # weights:  18 (10 variable)
  initial  value 16.089898 
  iter  10 value 12.879681
  iter  20 value 12.873557
  final  value 12.873556 
  converged
  # weights:  18 (10 variable)
  initial  value 16.089898 
  iter  10 value 12.879681
  iter  20 value 12.873557
  final  value 12.873556 
  converged
  # weights:  18 (10 variable)
  initial  value 32.958369 
  iter  10 value 28.227507
  final  value 28.221062 
  converged
  # weights:  18 (10 variable)
  initial  value 32.958369 
  iter  10 value 28.227507
  final  value 28.221062 
  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 : 5.509583e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.93356 
    - variance bounds :  0.05320533 5.509583 
    - best initial criterion value(s) :  -1160982 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=    1.161e+06  |proj g|=       5.1828
  At iterate     1  f =       91.059  |proj g|=        4.0929
  At iterate     2  f =       57.046  |proj g|=       0.72725
  ys=-2.733e+01  -gs= 1.936e+01, BFGS update SKIPPED
  At iterate     3  f =       56.554  |proj g|=       0.67502
  At iterate     4  f =        55.58  |proj g|=       0.51853
  At iterate     5  f =        55.54  |proj g|=       0.27239
  At iterate     6  f =       55.539  |proj g|=      0.033581
  At iterate     7  f =       55.539  |proj g|=    0.00040029
  At iterate     8  f =       55.539  |proj g|=    5.7959e-07
  
  iterations 8
  function evaluations 36
  segments explored during Cauchy searches 11
  BFGS updates skipped 1
  active bounds at final generalized Cauchy point 2
  norm of the final projected gradient 5.79592e-07
  final function value 55.5395
  
  F = 55.5395
  final  value 55.539455 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 5.509583e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.93356 
    - variance bounds :  0.05320533 5.509583 
    - best initial criterion value(s) :  -1160982 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=    1.161e+06  |proj g|=       5.1828
  At iterate     1  f =       91.059  |proj g|=        4.0929
  At iterate     2  f =       57.046  |proj g|=       0.72725
  ys=-2.733e+01  -gs= 1.936e+01, BFGS update SKIPPED
  At iterate     3  f =       56.554  |proj g|=       0.67502
  At iterate     4  f =        55.58  |proj g|=       0.51853
  At iterate     5  f =        55.54  |proj g|=       0.27239
  At iterate     6  f =       55.539  |proj g|=      0.033581
  At iterate     7  f =       55.539  |proj g|=    0.00040029
  At iterate     8  f =       55.539  |proj g|=    5.7959e-07
  
  iterations 8
  function evaluations 36
  segments explored during Cauchy searches 11
  BFGS updates skipped 1
  active bounds at final generalized Cauchy point 2
  norm of the final projected gradient 5.79592e-07
  final function value 55.5395
  
  F = 55.5395
  final  value 55.539455 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 5.509583e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.93356 
    - variance bounds :  0.05320533 5.509583 
    - best initial criterion value(s) :  -1205568 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=   1.2056e+06  |proj g|=       5.2264
  At iterate     1  f =       91.059  |proj g|=        4.0929
  At iterate     2  f =       56.956  |proj g|=        0.7181
  ys=-2.668e+01  -gs= 1.939e+01, BFGS update SKIPPED
  At iterate     3  f =       56.228  |proj g|=       0.63613
  At iterate     4  f =       55.559  |proj g|=       0.50847
  At iterate     5  f =       55.548  |proj g|=        1.2741
  At iterate     6  f =        55.54  |proj g|=      0.097467
  At iterate     7  f =       55.539  |proj g|=     0.0050465
  At iterate     8  f =       55.539  |proj g|=    2.1365e-05
  At iterate     9  f =       55.539  |proj g|=    4.6584e-09
  
  iterations 9
  function evaluations 37
  segments explored during Cauchy searches 12
  BFGS updates skipped 1
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 4.65836e-09
  final function value 55.5395
  
  F = 55.5395
  final  value 55.539455 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 5.509583e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.93356 
    - variance bounds :  0.05320533 5.509583 
    - best initial criterion value(s) :  -1205568 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=   1.2056e+06  |proj g|=       5.2264
  At iterate     1  f =       91.059  |proj g|=        4.0929
  At iterate     2  f =       56.956  |proj g|=        0.7181
  ys=-2.668e+01  -gs= 1.939e+01, BFGS update SKIPPED
  At iterate     3  f =       56.228  |proj g|=       0.63613
  At iterate     4  f =       55.559  |proj g|=       0.50847
  At iterate     5  f =       55.548  |proj g|=        1.2741
  At iterate     6  f =        55.54  |proj g|=      0.097467
  At iterate     7  f =       55.539  |proj g|=     0.0050465
  At iterate     8  f =       55.539  |proj g|=    2.1365e-05
  At iterate     9  f =       55.539  |proj g|=    4.6584e-09
  
  iterations 9
  function evaluations 37
  segments explored during Cauchy searches 12
  BFGS updates skipped 1
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 4.65836e-09
  final function value 55.5395
  
  F = 55.5395
  final  value 55.539455 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 5.509583e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.93356 
    - variance bounds :  0.05320533 5.509583 
    - best initial criterion value(s) :  -1601.183 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       1601.2  |proj g|=       4.8801
  At iterate     1  f =       91.059  |proj g|=        4.0929
  At iterate     2  f =       57.169  |proj g|=        0.7396
  ys=-2.813e+01  -gs= 1.931e+01, BFGS update SKIPPED
  At iterate     3  f =       56.414  |proj g|=        0.6588
  At iterate     4  f =       55.569  |proj g|=       0.51402
  At iterate     5  f =        55.54  |proj g|=       0.18078
  At iterate     6  f =       55.539  |proj g|=      0.018937
  At iterate     7  f =       55.539  |proj g|=    0.00014918
  At iterate     8  f =       55.539  |proj g|=    1.2191e-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 1.21909e-07
  final function value 55.5395
  
  F = 55.5395
  final  value 55.539455 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 5.509583e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.93356 
    - variance bounds :  0.05320533 5.509583 
    - best initial criterion value(s) :  -5035.632 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       5035.6  |proj g|=       5.0325
  At iterate     1  f =       91.059  |proj g|=        4.0929
  At iterate     2  f =       56.179  |proj g|=       0.62983
  ys=-1.725e+01  -gs= 1.975e+01, BFGS update SKIPPED
  At iterate     3  f =         55.7  |proj g|=       0.55275
  At iterate     4  f =       55.544  |proj g|=       0.49741
  At iterate     5  f =        55.54  |proj g|=       0.24281
  At iterate     6  f =       55.539  |proj g|=     0.0095647
  At iterate     7  f =       55.539  |proj g|=     9.907e-05
  At iterate     8  f =       55.539  |proj g|=    4.0952e-08
  
  iterations 8
  function evaluations 28
  segments explored during Cauchy searches 11
  BFGS updates skipped 1
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 4.09522e-08
  final function value 55.5395
  
  F = 55.5395
  final  value 55.539455 
  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) :  -5433.726 
  
  N = 3, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       5433.7  |proj g|=       79.186
  At iterate     1  f =       352.65  |proj g|=       0.26303
  At iterate     2  f =       318.51  |proj g|=       0.18241
  At iterate     3  f =       318.32  |proj g|=      0.085683
  At iterate     4  f =       318.23  |proj g|=      0.018613
  At iterate     5  f =       318.22  |proj g|=     0.0026429
  At iterate     6  f =       318.22  |proj g|=    6.8793e-05
  At iterate     7  f =       318.22  |proj g|=    2.4623e-07
  
  iterations 7
  function evaluations 22
  segments explored during Cauchy searches 9
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 2
  norm of the final projected gradient 2.46232e-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) :  -1784.172 
  
  N = 3, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       1784.2  |proj g|=       34.607
  At iterate     1  f =       333.02  |proj g|=       0.35668
  At iterate     2  f =       318.22  |proj g|=     0.0095515
  At iterate     3  f =       318.22  |proj g|=    0.00018011
  At iterate     4  f =       318.22  |proj g|=    2.3795e-06
  
  iterations 4
  function evaluations 12
  segments explored during Cauchy searches 6
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 2
  norm of the final projected gradient 2.37954e-06
  final function value 318.222
  
  F = 318.222
  final  value 318.221782 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 3.435024e-07 
    - parameters lower bounds :  1e-10 1e-10 
    - parameters upper bounds :  1.880582 44.27959 
    - variance bounds :  3.435024 622.0591 
    - best initial criterion value(s) :  -340.8481 
  
  N = 3, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       340.85  |proj g|=       10.321
  At iterate     1  f =       319.57  |proj g|=       0.24808
  At iterate     2  f =        318.6  |proj g|=       0.15301
  At iterate     3  f =       318.24  |proj g|=      0.034589
  At iterate     4  f =       318.22  |proj g|=      0.010674
  At iterate     5  f =       318.22  |proj g|=     0.0005239
  At iterate     6  f =       318.22  |proj g|=    7.4781e-06
  At iterate     7  f =       318.22  |proj g|=    5.3341e-09
  
  iterations 7
  function evaluations 19
  segments explored during Cauchy searches 9
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 2
  norm of the final projected gradient 5.33413e-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) :  -306.539 
  
  N = 3, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       306.54  |proj g|=       4.3287
  At iterate     1  f =       303.92  |proj g|=        2.8772
  At iterate     2  f =       302.23  |proj g|=        2.4024
  At iterate     3  f =       295.41  |proj g|=        1.8658
  At iterate     4  f =       292.49  |proj g|=        1.8639
  At iterate     5  f =       278.86  |proj g|=        2.6178
  At iterate     6  f =       272.66  |proj g|=        1.8497
  At iterate     7  f =       268.97  |proj g|=        1.8326
  At iterate     8  f =       268.39  |proj g|=        1.8276
  At iterate     9  f =       266.89  |proj g|=        2.0297
  At iterate    10  f =        266.7  |proj g|=        3.7059
  At iterate    11  f =        265.8  |proj g|=        3.0738
  At iterate    12  f =       262.57  |proj g|=         1.774
  At iterate    13  f =       257.22  |proj g|=        7.7836
  At iterate    14  f =       256.27  |proj g|=        13.296
  At iterate    15  f =       253.27  |proj g|=        2.5859
  At iterate    16  f =       253.14  |proj g|=       0.79676
  At iterate    17  f =       253.13  |proj g|=       0.21022
  At iterate    18  f =       253.13  |proj g|=       0.19896
  At iterate    19  f =       253.13  |proj g|=       0.19865
  At iterate    20  f =       253.13  |proj g|=       0.19812
  At iterate    21  f =       253.13  |proj g|=       0.19732
  At iterate    22  f =       253.13  |proj g|=       0.23139
  At iterate    23  f =       253.13  |proj g|=        0.3719
  At iterate    24  f =       253.13  |proj g|=       0.59675
  At iterate    25  f =       253.11  |proj g|=       0.97728
  At iterate    26  f =       253.08  |proj g|=        1.6456
  At iterate    27  f =       252.99  |proj g|=        1.8066
  At iterate    28  f =       252.74  |proj g|=          1.81
  At iterate    29  f =       252.13  |proj g|=        1.8172
  At iterate    30  f =       250.99  |proj g|=        1.8293
  At iterate    31  f =        249.4  |proj g|=        1.8363
  At iterate    32  f =       246.31  |proj g|=        1.7458
  At iterate    33  f =       245.95  |proj g|=        1.7434
  At iterate    34  f =       244.27  |proj g|=        1.7459
  At iterate    35  f =        243.4  |proj g|=        3.4371
  At iterate    36  f =       243.28  |proj g|=        1.7278
  At iterate    37  f =       243.27  |proj g|=        0.8068
  At iterate    38  f =       243.26  |proj g|=      0.020539
  At iterate    39  f =       243.26  |proj g|=     0.0038506
  At iterate    40  f =       243.26  |proj g|=     0.0010127
  
  iterations 40
  function evaluations 54
  segments explored during Cauchy searches 41
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 0
  norm of the final projected gradient 0.00101269
  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 : 9.259022e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.946466 
    - variance bounds :  0.09259022 9.499114 
    - best initial criterion value(s) :  -210.3949 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       210.39  |proj g|=       8.9137
  At iterate     1  f =       104.61  |proj g|=        2.3804
  At iterate     2  f =       68.517  |proj g|=       0.13071
  At iterate     3  f =       68.517  |proj g|=      0.023163
  At iterate     4  f =       68.517  |proj g|=    0.00021766
  At iterate     5  f =       68.517  |proj g|=    3.6675e-07
  
  iterations 5
  function evaluations 16
  segments explored during Cauchy searches 8
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 2
  norm of the final projected gradient 3.66747e-07
  final function value 68.5172
  
  F = 68.5172
  final  value 68.517193 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 9.259022e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.946466 
    - variance bounds :  0.09259022 9.499114 
    - best initial criterion value(s) :  -210.3949 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       210.39  |proj g|=       8.9137
  At iterate     1  f =       104.61  |proj g|=        2.3804
  At iterate     2  f =       68.517  |proj g|=       0.13071
  At iterate     3  f =       68.517  |proj g|=      0.023163
  At iterate     4  f =       68.517  |proj g|=    0.00021766
  At iterate     5  f =       68.517  |proj g|=    3.6675e-07
  
  iterations 5
  function evaluations 16
  segments explored during Cauchy searches 8
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 2
  norm of the final projected gradient 3.66747e-07
  final function value 68.5172
  
  F = 68.5172
  final  value 68.517193 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 9.259022e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.946466 
    - variance bounds :  0.09259022 9.499114 
    - best initial criterion value(s) :  -2423.522 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       2423.5  |proj g|=       8.2435
  At iterate     1  f =       104.61  |proj g|=        2.3804
  At iterate     2  f =       68.983  |proj g|=        6.8352
  At iterate     3  f =       68.571  |proj g|=        0.8771
  At iterate     4  f =       68.523  |proj g|=       0.57987
  At iterate     5  f =       68.517  |proj g|=      0.087629
  At iterate     6  f =       68.517  |proj g|=     0.0038629
  At iterate     7  f =       68.517  |proj g|=    2.4387e-05
  At iterate     8  f =       68.517  |proj g|=    6.8409e-09
  
  iterations 8
  function evaluations 22
  segments explored during Cauchy searches 11
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 6.8409e-09
  final function value 68.5172
  
  F = 68.5172
  final  value 68.517193 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 9.259022e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.946466 
    - variance bounds :  0.09259022 9.499114 
    - best initial criterion value(s) :  -2423.522 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       2423.5  |proj g|=       8.2435
  At iterate     1  f =       104.61  |proj g|=        2.3804
  At iterate     2  f =       68.983  |proj g|=        6.8352
  At iterate     3  f =       68.571  |proj g|=        0.8771
  At iterate     4  f =       68.523  |proj g|=       0.57987
  At iterate     5  f =       68.517  |proj g|=      0.087629
  At iterate     6  f =       68.517  |proj g|=     0.0038629
  At iterate     7  f =       68.517  |proj g|=    2.4387e-05
  At iterate     8  f =       68.517  |proj g|=    6.8409e-09
  
  iterations 8
  function evaluations 22
  segments explored during Cauchy searches 11
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 6.8409e-09
  final function value 68.5172
  
  F = 68.5172
  final  value 68.517193 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 9.259022e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.946466 
    - variance bounds :  0.09259022 9.499114 
    - best initial criterion value(s) :  -369.6293 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       369.63  |proj g|=       8.9791
  At iterate     1  f =       104.61  |proj g|=        2.3804
  At iterate     2  f =       68.839  |proj g|=       0.97747
  ys=-9.873e+00  -gs= 2.006e+01, BFGS update SKIPPED
  At iterate     3  f =       68.743  |proj g|=        0.9485
  At iterate     4  f =       68.572  |proj g|=        1.9816
  At iterate     5  f =       68.522  |proj g|=       0.50948
  At iterate     6  f =       68.517  |proj g|=      0.064967
  At iterate     7  f =       68.517  |proj g|=     0.0025354
  At iterate     8  f =       68.517  |proj g|=    1.2025e-05
  
  iterations 8
  function evaluations 22
  segments explored during Cauchy searches 11
  BFGS updates skipped 1
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 1.2025e-05
  final function value 68.5172
  
  F = 68.5172
  final  value 68.517193 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 9.259022e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.946466 
    - variance bounds :  0.09259022 9.499114 
    - best initial criterion value(s) :  -3873.455 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       3873.5  |proj g|=        8.433
  At iterate     1  f =       104.61  |proj g|=        2.3804
  At iterate     2  f =       70.783  |proj g|=        1.3422
  ys=-3.245e+01  -gs= 1.920e+01, BFGS update SKIPPED
  At iterate     3  f =       69.057  |proj g|=        1.0328
  At iterate     4  f =       68.527  |proj g|=       0.75818
  At iterate     5  f =        68.52  |proj g|=       0.45534
  At iterate     6  f =       68.517  |proj g|=      0.025808
  At iterate     7  f =       68.517  |proj g|=    0.00082121
  At iterate     8  f =       68.517  |proj g|=    1.5422e-06
  
  iterations 8
  function evaluations 25
  segments explored during Cauchy searches 11
  BFGS updates skipped 1
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 1.54221e-06
  final function value 68.5172
  
  F = 68.5172
  final  value 68.517193 
  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) :  -302.1852 
  
  N = 3, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       302.19  |proj g|=       1.8716
  At iterate     1  f =       271.65  |proj g|=        5.7631
  At iterate     2  f =       271.61  |proj g|=        5.2377
  At iterate     3  f =       271.61  |proj g|=        5.2809
  At iterate     4  f =       271.61  |proj g|=        5.3082
  At iterate     5  f =       271.61  |proj g|=        5.3776
  At iterate     6  f =        271.6  |proj g|=        5.4734
  At iterate     7  f =       271.59  |proj g|=         5.636
  At iterate     8  f =       271.54  |proj g|=        5.8868
  At iterate     9  f =       271.42  |proj g|=        6.2682
  At iterate    10  f =        271.1  |proj g|=        6.1944
  At iterate    11  f =        270.3  |proj g|=        5.8935
  At iterate    12  f =       268.47  |proj g|=        5.2071
  At iterate    13  f =       264.21  |proj g|=        1.8204
  At iterate    14  f =       264.08  |proj g|=        2.8858
  At iterate    15  f =       263.58  |proj g|=        2.0069
  At iterate    16  f =       256.73  |proj g|=        7.1569
  At iterate    17  f =       252.28  |proj g|=        15.229
  At iterate    18  f =       250.28  |proj g|=        2.0808
  At iterate    19  f =       250.13  |proj g|=       0.22622
  At iterate    20  f =       250.13  |proj g|=       0.22577
  At iterate    21  f =       250.13  |proj g|=       0.47457
  At iterate    22  f =       250.12  |proj g|=        1.6961
  At iterate    23  f =        250.1  |proj g|=        1.6976
  At iterate    24  f =       250.04  |proj g|=        1.7016
  At iterate    25  f =        249.9  |proj g|=        1.7816
  At iterate    26  f =       249.83  |proj g|=        1.7777
  At iterate    27  f =        249.4  |proj g|=         1.808
  At iterate    28  f =       247.55  |proj g|=        1.8318
  At iterate    29  f =       245.88  |proj g|=        1.7399
  At iterate    30  f =       243.46  |proj g|=         1.456
  At iterate    31  f =       243.32  |proj g|=       0.71612
  At iterate    32  f =       243.29  |proj g|=        1.7305
  At iterate    33  f =       243.26  |proj g|=        1.4326
  At iterate    34  f =       243.26  |proj g|=       0.10025
  At iterate    35  f =       243.26  |proj g|=     0.0024419
  At iterate    36  f =       243.26  |proj g|=    7.1966e-05
  
  iterations 36
  function evaluations 52
  segments explored during Cauchy searches 37
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 0
  norm of the final projected gradient 7.19659e-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) :  -13036.91 
  
  N = 3, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=        13037  |proj g|=       194.39
  At iterate     1  f =       376.66  |proj g|=       0.16652
  At iterate     2  f =       318.27  |proj g|=      0.057865
  At iterate     3  f =       318.22  |proj g|=      0.005062
  Nonpositive definiteness in Cholesky factorization in formk;
     refresh the lbfgs memory and restart the iteration.
  At iterate     4  f =       318.22  |proj g|=     0.0039812
  At iterate     5  f =       318.22  |proj g|=    2.7841e-05
  At iterate     6  f =       318.22  |proj g|=     1.518e-07
  
  iterations 6
  function evaluations 21
  segments explored during Cauchy searches 10
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 2
  norm of the final projected gradient 1.51795e-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/th798/16170278/R-devel/844/mlr3learners.Rcheck/00check.log'
for details.

[1] "2025-03-28 01:21:05 MST"
> system(paste(c("diff -u", Rcheck.list), collapse=" "))
--- R_Under_development_unstable_2025-03-27_r88065/release_1.17.0.Rcheck/00check.log	2025-03-28 01:12:00.946788016 -0700
+++ R_Under_development_unstable_2025-03-27_r88065/master_1.17.99.2cb03162a21328cc5f68a8c3b0e554f5edfcb5b9.Rcheck/00check.log	2025-03-28 01:21:05.713109670 -0700
@@ -49,7 +49,7 @@
 * checking examples ... OK
 Examples with CPU (user + system) or elapsed time > 5s
                                  user system elapsed
-mlr_learners_classif.cv_glmnet 26.599  0.152  26.871
+mlr_learners_classif.cv_glmnet 26.537  0.167   26.83
 * checking for unstated dependencies in 'tests' ... OK
 * checking tests ... ERROR
   Running 'testthat.R'
@@ -79,11 +79,11 @@
   converged
   # weights:  3 (2 variable)
   initial  value 20.794415 
-  final  value 20.557049 
+  final  value 20.139332 
   converged
   # weights:  3 (2 variable)
   initial  value 20.794415 
-  final  value 20.557049 
+  final  value 20.139332 
   converged
   # weights:  3 (2 variable)
   initial  value 20.794415 
@@ -95,83 +95,67 @@
   converged
   # weights:  6 (5 variable)
   initial  value 20.794415 
-  iter  10 value 17.447142
-  iter  10 value 17.447142
-  iter  10 value 17.447142
-  final  value 17.447142 
+  iter  10 value 17.885198
+  final  value 17.885198 
   converged
   # weights:  6 (5 variable)
   initial  value 20.794415 
-  iter  10 value 17.447142
-  iter  10 value 17.447142
-  iter  10 value 17.447142
-  final  value 17.447142 
+  iter  10 value 17.885198
+  final  value 17.885198 
   converged
   # weights:  6 (5 variable)
   initial  value 20.794415 
-  iter  10 value 17.447142
-  iter  10 value 17.447142
-  iter  10 value 17.447142
-  final  value 17.447142 
+  iter  10 value 17.885198
+  final  value 17.885198 
   converged
   # weights:  6 (5 variable)
   initial  value 20.794415 
-  iter  10 value 17.447142
-  iter  10 value 17.447142
-  iter  10 value 17.447142
-  final  value 17.447142 
+  iter  10 value 17.885198
+  final  value 17.885198 
   converged
   # weights:  6 (5 variable)
-  initial  value 8.683176 
-  iter  10 value 6.019193
-  iter  20 value 6.015134
-  final  value 6.015131 
+  initial  value 9.746108 
+  iter  10 value 8.555902
+  final  value 8.555815 
   converged
   # weights:  6 (5 variable)
-  initial  value 8.683176 
-  iter  10 value 6.019193
-  iter  20 value 6.015134
-  final  value 6.015131 
+  initial  value 9.746108 
+  iter  10 value 8.555902
+  final  value 8.555815 
   converged
   # weights:  6 (5 variable)
   initial  value 20.794415 
-  iter  10 value 17.447142
-  iter  10 value 17.447142
-  iter  10 value 17.447142
-  final  value 17.447142 
+  iter  10 value 17.885198
+  final  value 17.885198 
   converged
   # weights:  6 (5 variable)
   initial  value 20.794415 
-  iter  10 value 17.447142
-  iter  10 value 17.447142
-  iter  10 value 17.447142
-  final  value 17.447142 
+  iter  10 value 17.885198
+  final  value 17.885198 
   converged
   # weights:  9 (4 variable)
   initial  value 32.958369 
-  final  value 31.732830 
+  final  value 31.312711 
   converged
   # weights:  9 (4 variable)
   initial  value 32.958369 
-  final  value 31.732830 
+  final  value 31.312711 
   converged
   # weights:  9 (4 variable)
   initial  value 32.958369 
-  final  value 31.884179 
+  final  value 31.567916 
   converged
   # weights:  9 (4 variable)
   initial  value 32.958369 
-  final  value 31.884179 
+  final  value 31.567916 
   converged
   # weights:  9 (4 variable)
   initial  value 32.958369 
-  iter  10 value 32.146552
-  final  value 32.146551 
+  final  value 31.987199 
   converged
   # weights:  9 (4 variable)
   initial  value 32.958369 
-  iter  10 value 32.146552
-  final  value 32.146551 
+  final  value 31.987199 
   converged
   # weights:  9 (4 variable)
   initial  value 32.958369 
@@ -183,45 +167,45 @@
   converged
   # weights:  18 (10 variable)
   initial  value 32.958369 
-  iter  10 value 29.066706
-  final  value 29.057981 
+  iter  10 value 28.227507
+  final  value 28.221062 
   converged
   # weights:  18 (10 variable)
   initial  value 32.958369 
-  iter  10 value 29.066706
-  final  value 29.057981 
+  iter  10 value 28.227507
+  final  value 28.221062 
   converged
   # weights:  18 (10 variable)
   initial  value 32.958369 
-  iter  10 value 29.066706
-  final  value 29.057981 
+  iter  10 value 28.227507
+  final  value 28.221062 
   converged
   # weights:  18 (10 variable)
   initial  value 32.958369 
-  iter  10 value 29.066706
-  final  value 29.057981 
+  iter  10 value 28.227507
+  final  value 28.221062 
   converged
   # weights:  18 (10 variable)
-  initial  value 17.176416 
-  iter  10 value 15.143048
-  iter  20 value 15.131372
-  final  value 15.131362 
+  initial  value 16.089898 
+  iter  10 value 12.879681
+  iter  20 value 12.873557
+  final  value 12.873556 
   converged
   # weights:  18 (10 variable)
-  initial  value 17.176416 
-  iter  10 value 15.143048
-  iter  20 value 15.131372
-  final  value 15.131362 
+  initial  value 16.089898 
+  iter  10 value 12.879681
+  iter  20 value 12.873557
+  final  value 12.873556 
   converged
   # weights:  18 (10 variable)
   initial  value 32.958369 
-  iter  10 value 29.066706
-  final  value 29.057981 
+  iter  10 value 28.227507
+  final  value 28.221062 
   converged
   # weights:  18 (10 variable)
   initial  value 32.958369 
-  iter  10 value 29.066706
-  final  value 29.057981 
+  iter  10 value 28.227507
+  final  value 28.221062 
   converged
   # weights:  4 (3 variable)
   initial  value 138.629436 
@@ -330,35 +314,35 @@
   * trend model : ~1
   * covariance model : 
     - type :  matern5_2 
-    - nugget : 9.153223e-09 
+    - nugget : 5.509583e-09 
     - parameters lower bounds :  1e-10 1e-10 1e-10 
-    - parameters upper bounds :  4 2 1.959483 
-    - variance bounds :  0.09153223 9.169812 
-    - best initial criterion value(s) :  -321745.5 
+    - parameters upper bounds :  4 2 1.93356 
+    - variance bounds :  0.05320533 5.509583 
+    - best initial criterion value(s) :  -1160982 
   
   N = 4, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=   3.2175e+05  |proj g|=       8.3146
-  At iterate     1  f =       103.79  |proj g|=        2.4596
-  At iterate     2  f =       68.513  |proj g|=       0.95522
-  ys=-7.773e+00  -gs= 1.998e+01, BFGS update SKIPPED
-  At iterate     3  f =       68.373  |proj g|=       0.90855
-  At iterate     4  f =       68.256  |proj g|=        1.3626
-  At iterate     5  f =       68.231  |proj g|=       0.28822
-  At iterate     6  f =        68.23  |proj g|=      0.025762
-  At iterate     7  f =        68.23  |proj g|=    0.00054832
-  At iterate     8  f =        68.23  |proj g|=     1.016e-06
+  At iterate     0  f=    1.161e+06  |proj g|=       5.1828
+  At iterate     1  f =       91.059  |proj g|=        4.0929
+  At iterate     2  f =       57.046  |proj g|=       0.72725
+  ys=-2.733e+01  -gs= 1.936e+01, BFGS update SKIPPED
+  At iterate     3  f =       56.554  |proj g|=       0.67502
+  At iterate     4  f =        55.58  |proj g|=       0.51853
+  At iterate     5  f =        55.54  |proj g|=       0.27239
+  At iterate     6  f =       55.539  |proj g|=      0.033581
+  At iterate     7  f =       55.539  |proj g|=    0.00040029
+  At iterate     8  f =       55.539  |proj g|=    5.7959e-07
   
   iterations 8
-  function evaluations 31
+  function evaluations 36
   segments explored during Cauchy searches 11
   BFGS updates skipped 1
-  active bounds at final generalized Cauchy point 3
-  norm of the final projected gradient 1.01599e-06
-  final function value 68.2299
+  active bounds at final generalized Cauchy point 2
+  norm of the final projected gradient 5.79592e-07
+  final function value 55.5395
   
-  F = 68.2299
-  final  value 68.229884 
+  F = 55.5395
+  final  value 55.539455 
   converged
   
   optimisation start
@@ -369,35 +353,35 @@
   * trend model : ~1
   * covariance model : 
     - type :  matern5_2 
-    - nugget : 9.153223e-09 
+    - nugget : 5.509583e-09 
     - parameters lower bounds :  1e-10 1e-10 1e-10 
-    - parameters upper bounds :  4 2 1.959483 
-    - variance bounds :  0.09153223 9.169812 
-    - best initial criterion value(s) :  -321745.5 
+    - parameters upper bounds :  4 2 1.93356 
+    - variance bounds :  0.05320533 5.509583 
+    - best initial criterion value(s) :  -1160982 
   
   N = 4, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=   3.2175e+05  |proj g|=       8.3146
-  At iterate     1  f =       103.79  |proj g|=        2.4596
-  At iterate     2  f =       68.513  |proj g|=       0.95522
-  ys=-7.773e+00  -gs= 1.998e+01, BFGS update SKIPPED
-  At iterate     3  f =       68.373  |proj g|=       0.90855
-  At iterate     4  f =       68.256  |proj g|=        1.3626
-  At iterate     5  f =       68.231  |proj g|=       0.28822
-  At iterate     6  f =        68.23  |proj g|=      0.025762
-  At iterate     7  f =        68.23  |proj g|=    0.00054832
-  At iterate     8  f =        68.23  |proj g|=     1.016e-06
+  At iterate     0  f=    1.161e+06  |proj g|=       5.1828
+  At iterate     1  f =       91.059  |proj g|=        4.0929
+  At iterate     2  f =       57.046  |proj g|=       0.72725
+  ys=-2.733e+01  -gs= 1.936e+01, BFGS update SKIPPED
+  At iterate     3  f =       56.554  |proj g|=       0.67502
+  At iterate     4  f =        55.58  |proj g|=       0.51853
+  At iterate     5  f =        55.54  |proj g|=       0.27239
+  At iterate     6  f =       55.539  |proj g|=      0.033581
+  At iterate     7  f =       55.539  |proj g|=    0.00040029
+  At iterate     8  f =       55.539  |proj g|=    5.7959e-07
   
   iterations 8
-  function evaluations 31
+  function evaluations 36
   segments explored during Cauchy searches 11
   BFGS updates skipped 1
-  active bounds at final generalized Cauchy point 3
-  norm of the final projected gradient 1.01599e-06
-  final function value 68.2299
+  active bounds at final generalized Cauchy point 2
+  norm of the final projected gradient 5.79592e-07
+  final function value 55.5395
   
-  F = 68.2299
-  final  value 68.229884 
+  F = 55.5395
+  final  value 55.539455 
   converged
   
   optimisation start
@@ -408,34 +392,36 @@
   * trend model : ~1
   * covariance model : 
     - type :  matern5_2 
-    - nugget : 9.153223e-09 
+    - nugget : 5.509583e-09 
     - parameters lower bounds :  1e-10 1e-10 1e-10 
-    - parameters upper bounds :  4 2 1.959483 
-    - variance bounds :  0.09153223 9.169812 
-    - best initial criterion value(s) :  -3890.065 
+    - parameters upper bounds :  4 2 1.93356 
+    - variance bounds :  0.05320533 5.509583 
+    - best initial criterion value(s) :  -1205568 
   
   N = 4, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=       3890.1  |proj g|=       8.1516
-  At iterate     1  f =       103.79  |proj g|=        2.4596
-  At iterate     2  f =       69.636  |proj g|=        1.1881
-  ys=-2.668e+01  -gs= 1.941e+01, BFGS update SKIPPED
-  At iterate     3  f =       68.439  |proj g|=        0.9324
-  At iterate     4  f =       68.231  |proj g|=       0.26344
-  At iterate     5  f =        68.23  |proj g|=       0.08233
-  At iterate     6  f =        68.23  |proj g|=     0.0015823
-  At iterate     7  f =        68.23  |proj g|=    9.2815e-06
+  At iterate     0  f=   1.2056e+06  |proj g|=       5.2264
+  At iterate     1  f =       91.059  |proj g|=        4.0929
+  At iterate     2  f =       56.956  |proj g|=        0.7181
+  ys=-2.668e+01  -gs= 1.939e+01, BFGS update SKIPPED
+  At iterate     3  f =       56.228  |proj g|=       0.63613
+  At iterate     4  f =       55.559  |proj g|=       0.50847
+  At iterate     5  f =       55.548  |proj g|=        1.2741
+  At iterate     6  f =        55.54  |proj g|=      0.097467
+  At iterate     7  f =       55.539  |proj g|=     0.0050465
+  At iterate     8  f =       55.539  |proj g|=    2.1365e-05
+  At iterate     9  f =       55.539  |proj g|=    4.6584e-09
   
-  iterations 7
-  function evaluations 29
-  segments explored during Cauchy searches 10
+  iterations 9
+  function evaluations 37
+  segments explored during Cauchy searches 12
   BFGS updates skipped 1
   active bounds at final generalized Cauchy point 3
-  norm of the final projected gradient 9.28151e-06
-  final function value 68.2299
+  norm of the final projected gradient 4.65836e-09
+  final function value 55.5395
   
-  F = 68.2299
-  final  value 68.229884 
+  F = 55.5395
+  final  value 55.539455 
   converged
   
   optimisation start
@@ -446,34 +432,36 @@
   * trend model : ~1
   * covariance model : 
     - type :  matern5_2 
-    - nugget : 9.153223e-09 
+    - nugget : 5.509583e-09 
     - parameters lower bounds :  1e-10 1e-10 1e-10 
-    - parameters upper bounds :  4 2 1.959483 
-    - variance bounds :  0.09153223 9.169812 
-    - best initial criterion value(s) :  -3890.065 
+    - parameters upper bounds :  4 2 1.93356 
+    - variance bounds :  0.05320533 5.509583 
+    - best initial criterion value(s) :  -1205568 
   
   N = 4, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=       3890.1  |proj g|=       8.1516
-  At iterate     1  f =       103.79  |proj g|=        2.4596
-  At iterate     2  f =       69.636  |proj g|=        1.1881
-  ys=-2.668e+01  -gs= 1.941e+01, BFGS update SKIPPED
-  At iterate     3  f =       68.439  |proj g|=        0.9324
-  At iterate     4  f =       68.231  |proj g|=       0.26344
-  At iterate     5  f =        68.23  |proj g|=       0.08233
-  At iterate     6  f =        68.23  |proj g|=     0.0015823
-  At iterate     7  f =        68.23  |proj g|=    9.2815e-06
+  At iterate     0  f=   1.2056e+06  |proj g|=       5.2264
+  At iterate     1  f =       91.059  |proj g|=        4.0929
+  At iterate     2  f =       56.956  |proj g|=        0.7181
+  ys=-2.668e+01  -gs= 1.939e+01, BFGS update SKIPPED
+  At iterate     3  f =       56.228  |proj g|=       0.63613
+  At iterate     4  f =       55.559  |proj g|=       0.50847
+  At iterate     5  f =       55.548  |proj g|=        1.2741
+  At iterate     6  f =        55.54  |proj g|=      0.097467
+  At iterate     7  f =       55.539  |proj g|=     0.0050465
+  At iterate     8  f =       55.539  |proj g|=    2.1365e-05
+  At iterate     9  f =       55.539  |proj g|=    4.6584e-09
   
-  iterations 7
-  function evaluations 29
-  segments explored during Cauchy searches 10
+  iterations 9
+  function evaluations 37
+  segments explored during Cauchy searches 12
   BFGS updates skipped 1
   active bounds at final generalized Cauchy point 3
-  norm of the final projected gradient 9.28151e-06
-  final function value 68.2299
+  norm of the final projected gradient 4.65836e-09
+  final function value 55.5395
   
-  F = 68.2299
-  final  value 68.229884 
+  F = 55.5395
+  final  value 55.539455 
   converged
   
   optimisation start
@@ -484,32 +472,35 @@
   * trend model : ~1
   * covariance model : 
     - type :  matern5_2 
-    - nugget : 9.153223e-09 
+    - nugget : 5.509583e-09 
     - parameters lower bounds :  1e-10 1e-10 1e-10 
-    - parameters upper bounds :  4 2 1.959483 
-    - variance bounds :  0.09153223 9.169812 
-    - best initial criterion value(s) :  -17351.62 
+    - parameters upper bounds :  4 2 1.93356 
+    - variance bounds :  0.05320533 5.509583 
+    - best initial criterion value(s) :  -1601.183 
   
   N = 4, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=        17352  |proj g|=       7.9148
-  At iterate     1  f =       103.79  |proj g|=        2.4596
-  At iterate     2  f =       68.269  |proj g|=         1.689
-  At iterate     3  f =        68.23  |proj g|=       0.02973
-  At iterate     4  f =        68.23  |proj g|=     0.0031434
-  At iterate     5  f =        68.23  |proj g|=     6.726e-06
-  At iterate     6  f =        68.23  |proj g|=    1.5176e-09
+  At iterate     0  f=       1601.2  |proj g|=       4.8801
+  At iterate     1  f =       91.059  |proj g|=        4.0929
+  At iterate     2  f =       57.169  |proj g|=        0.7396
+  ys=-2.813e+01  -gs= 1.931e+01, BFGS update SKIPPED
+  At iterate     3  f =       56.414  |proj g|=        0.6588
+  At iterate     4  f =       55.569  |proj g|=       0.51402
+  At iterate     5  f =        55.54  |proj g|=       0.18078
+  At iterate     6  f =       55.539  |proj g|=      0.018937
+  At iterate     7  f =       55.539  |proj g|=    0.00014918
+  At iterate     8  f =       55.539  |proj g|=    1.2191e-07
   
-  iterations 6
-  function evaluations 20
-  segments explored during Cauchy searches 9
-  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 1.51764e-09
-  final function value 68.2299
+  norm of the final projected gradient 1.21909e-07
+  final function value 55.5395
   
-  F = 68.2299
-  final  value 68.229884 
+  F = 55.5395
+  final  value 55.539455 
   converged
   
   optimisation start
@@ -520,32 +511,35 @@
   * trend model : ~1
   * covariance model : 
     - type :  matern5_2 
-    - nugget : 9.153223e-09 
+    - nugget : 5.509583e-09 
     - parameters lower bounds :  1e-10 1e-10 1e-10 
-    - parameters upper bounds :  4 2 1.959483 
-    - variance bounds :  0.09153223 9.169812 
-    - best initial criterion value(s) :  -70.82468 
+    - parameters upper bounds :  4 2 1.93356 
+    - variance bounds :  0.05320533 5.509583 
+    - best initial criterion value(s) :  -5035.632 
   
   N = 4, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=       70.825  |proj g|=       8.4872
-  At iterate     1  f =        69.72  |proj g|=         1.092
-  At iterate     2  f =       68.246  |proj g|=       0.83842
-  At iterate     3  f =        68.23  |proj g|=      0.045353
-  At iterate     4  f =        68.23  |proj g|=     0.0034068
-  At iterate     5  f =        68.23  |proj g|=     1.113e-05
-  At iterate     6  f =        68.23  |proj g|=    2.7201e-09
+  At iterate     0  f=       5035.6  |proj g|=       5.0325
+  At iterate     1  f =       91.059  |proj g|=        4.0929
+  At iterate     2  f =       56.179  |proj g|=       0.62983
+  ys=-1.725e+01  -gs= 1.975e+01, BFGS update SKIPPED
+  At iterate     3  f =         55.7  |proj g|=       0.55275
+  At iterate     4  f =       55.544  |proj g|=       0.49741
+  At iterate     5  f =        55.54  |proj g|=       0.24281
+  At iterate     6  f =       55.539  |proj g|=     0.0095647
+  At iterate     7  f =       55.539  |proj g|=     9.907e-05
+  At iterate     8  f =       55.539  |proj g|=    4.0952e-08
   
-  iterations 6
-  function evaluations 9
-  segments explored during Cauchy searches 9
-  BFGS updates skipped 0
-  active bounds at final generalized Cauchy point 1
-  norm of the final projected gradient 2.72014e-09
-  final function value 68.2299
+  iterations 8
+  function evaluations 28
+  segments explored during Cauchy searches 11
+  BFGS updates skipped 1
+  active bounds at final generalized Cauchy point 3
+  norm of the final projected gradient 4.09522e-08
+  final function value 55.5395
   
-  F = 68.2299
-  final  value 68.229884 
+  F = 55.5395
+  final  value 55.539455 
   converged
   
   optimisation start
@@ -560,26 +554,25 @@
     - parameters lower bounds :  1e-10 1e-10 
     - parameters upper bounds :  1.880582 44.27959 
     - variance bounds :  3.435024 622.0591 
-    - best initial criterion value(s) :  -621.678 
+    - best initial criterion value(s) :  -5433.726 
   
   N = 3, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=       621.68  |proj g|=       19.859
-  At iterate     1  f =       319.52  |proj g|=       0.24492
-  At iterate     2  f =       319.17  |proj g|=       0.21884
-  At iterate     3  f =       318.33  |proj g|=      0.089838
-  At iterate     4  f =       318.26  |proj g|=      0.057345
-  At iterate     5  f =       318.22  |proj g|=      0.007481
-  At iterate     6  f =       318.22  |proj g|=    0.00053862
-  At iterate     7  f =       318.22  |proj g|=     5.557e-06
-  At iterate     8  f =       318.22  |proj g|=    4.0751e-09
+  At iterate     0  f=       5433.7  |proj g|=       79.186
+  At iterate     1  f =       352.65  |proj g|=       0.26303
+  At iterate     2  f =       318.51  |proj g|=       0.18241
+  At iterate     3  f =       318.32  |proj g|=      0.085683
+  At iterate     4  f =       318.23  |proj g|=      0.018613
+  At iterate     5  f =       318.22  |proj g|=     0.0026429
+  At iterate     6  f =       318.22  |proj g|=    6.8793e-05
+  At iterate     7  f =       318.22  |proj g|=    2.4623e-07
   
-  iterations 8
-  function evaluations 12
+  iterations 7
+  function evaluations 22
   segments explored during Cauchy searches 9
   BFGS updates skipped 0
-  active bounds at final generalized Cauchy point 1
-  norm of the final projected gradient 4.07508e-09
+  active bounds at final generalized Cauchy point 2
+  norm of the final projected gradient 2.46232e-07
   final function value 318.222
   
   F = 318.222
@@ -598,26 +591,22 @@
     - 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) :  -9219.297 
+    - best initial criterion value(s) :  -1784.172 
   
   N = 3, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=       9219.3  |proj g|=       155.31
-  At iterate     1  f =        368.1  |proj g|=       0.19667
-  At iterate     2  f =       318.45  |proj g|=       0.12404
-  At iterate     3  f =       318.22  |proj g|=      0.012954
-  Nonpositive definiteness in Cholesky factorization in formk;
-     refresh the lbfgs memory and restart the iteration.
-  At iterate     4  f =       318.22  |proj g|=      0.010242
-  At iterate     5  f =       318.22  |proj g|=    0.00018788
-  At iterate     6  f =       318.22  |proj g|=     2.663e-06
+  At iterate     0  f=       1784.2  |proj g|=       34.607
+  At iterate     1  f =       333.02  |proj g|=       0.35668
+  At iterate     2  f =       318.22  |proj g|=     0.0095515
+  At iterate     3  f =       318.22  |proj g|=    0.00018011
+  At iterate     4  f =       318.22  |proj g|=    2.3795e-06
   
-  iterations 6
-  function evaluations 23
-  segments explored during Cauchy searches 10
+  iterations 4
+  function evaluations 12
+  segments explored during Cauchy searches 6
   BFGS updates skipped 0
   active bounds at final generalized Cauchy point 2
-  norm of the final projected gradient 2.663e-06
+  norm of the final projected gradient 2.37954e-06
   final function value 318.222
   
   F = 318.222
@@ -636,24 +625,25 @@
     - parameters lower bounds :  1e-10 1e-10 
     - parameters upper bounds :  1.880582 44.27959 
     - variance bounds :  3.435024 622.0591 
-    - best initial criterion value(s) :  -410.3316 
+    - best initial criterion value(s) :  -340.8481 
   
   N = 3, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=       410.33  |proj g|=       2.1521
-  At iterate     1  f =       327.06  |proj g|=       0.36715
-  At iterate     2  f =       318.39  |proj g|=       0.10719
-  At iterate     3  f =       318.22  |proj g|=      0.011537
-  At iterate     4  f =       318.22  |proj g|=     0.0021178
-  At iterate     5  f =       318.22  |proj g|=     3.378e-05
-  At iterate     6  f =       318.22  |proj g|=     9.697e-08
+  At iterate     0  f=       340.85  |proj g|=       10.321
+  At iterate     1  f =       319.57  |proj g|=       0.24808
+  At iterate     2  f =        318.6  |proj g|=       0.15301
+  At iterate     3  f =       318.24  |proj g|=      0.034589
+  At iterate     4  f =       318.22  |proj g|=      0.010674
+  At iterate     5  f =       318.22  |proj g|=     0.0005239
+  At iterate     6  f =       318.22  |proj g|=    7.4781e-06
+  At iterate     7  f =       318.22  |proj g|=    5.3341e-09
   
-  iterations 6
-  function evaluations 17
-  segments explored during Cauchy searches 8
+  iterations 7
+  function evaluations 19
+  segments explored during Cauchy searches 9
   BFGS updates skipped 0
   active bounds at final generalized Cauchy point 2
-  norm of the final projected gradient 9.69697e-08
+  norm of the final projected gradient 5.33413e-09
   final function value 318.222
   
   F = 318.222
@@ -672,49 +662,58 @@
     - 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) :  -298.6334 
+    - best initial criterion value(s) :  -306.539 
   
   N = 3, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=       298.63  |proj g|=      0.91085
-  At iterate     1  f =       291.44  |proj g|=        35.479
-  At iterate     2  f =       288.36  |proj g|=         44.04
-  At iterate     3  f =        286.4  |proj g|=        44.004
-  At iterate     4  f =       275.08  |proj g|=        43.774
-  At iterate     5  f =       272.45  |proj g|=        43.713
-  At iterate     6  f =       258.78  |proj g|=        1.2357
-  At iterate     7  f =       250.29  |proj g|=        7.6497
-  At iterate     8  f =       249.83  |proj g|=        3.0905
-  At iterate     9  f =       249.76  |proj g|=        1.6977
-  At iterate    10  f =       249.75  |proj g|=       0.22491
-  At iterate    11  f =       249.75  |proj g|=       0.24428
-  At iterate    12  f =       249.75  |proj g|=       0.22861
-  At iterate    13  f =       249.75  |proj g|=       0.22773
-  At iterate    14  f =       249.75  |proj g|=       0.22661
-  At iterate    15  f =       249.75  |proj g|=       0.43251
-  At iterate    16  f =       249.74  |proj g|=       0.78879
-  At iterate    17  f =       249.73  |proj g|=        1.4174
-  At iterate    18  f =       249.69  |proj g|=        1.7237
-  At iterate    19  f =       249.61  |proj g|=        1.7461
-  At iterate    20  f =       249.41  |proj g|=        1.7743
-  At iterate    21  f =       248.91  |proj g|=        1.8169
-  At iterate    22  f =       248.79  |proj g|=        1.8014
-  At iterate    23  f =       247.81  |proj g|=        1.8041
-  At iterate    24  f =       246.22  |proj g|=         1.717
-  At iterate    25  f =       243.72  |proj g|=        1.4011
-  At iterate    26  f =       243.35  |proj g|=        2.1245
-  At iterate    27  f =       243.28  |proj g|=        1.7296
-  At iterate    28  f =       243.27  |proj g|=       0.15286
-  At iterate    29  f =       243.26  |proj g|=       0.27015
-  At iterate    30  f =       243.26  |proj g|=     0.0080932
-  At iterate    31  f =       243.26  |proj g|=      0.008503
-  
-  iterations 31
-  function evaluations 42
-  segments explored during Cauchy searches 33
+  At iterate     0  f=       306.54  |proj g|=       4.3287
+  At iterate     1  f =       303.92  |proj g|=        2.8772
+  At iterate     2  f =       302.23  |proj g|=        2.4024
+  At iterate     3  f =       295.41  |proj g|=        1.8658
+  At iterate     4  f =       292.49  |proj g|=        1.8639
+  At iterate     5  f =       278.86  |proj g|=        2.6178
+  At iterate     6  f =       272.66  |proj g|=        1.8497
+  At iterate     7  f =       268.97  |proj g|=        1.8326
+  At iterate     8  f =       268.39  |proj g|=        1.8276
+  At iterate     9  f =       266.89  |proj g|=        2.0297
+  At iterate    10  f =        266.7  |proj g|=        3.7059
+  At iterate    11  f =        265.8  |proj g|=        3.0738
+  At iterate    12  f =       262.57  |proj g|=         1.774
+  At iterate    13  f =       257.22  |proj g|=        7.7836
+  At iterate    14  f =       256.27  |proj g|=        13.296
+  At iterate    15  f =       253.27  |proj g|=        2.5859
+  At iterate    16  f =       253.14  |proj g|=       0.79676
+  At iterate    17  f =       253.13  |proj g|=       0.21022
+  At iterate    18  f =       253.13  |proj g|=       0.19896
+  At iterate    19  f =       253.13  |proj g|=       0.19865
+  At iterate    20  f =       253.13  |proj g|=       0.19812
+  At iterate    21  f =       253.13  |proj g|=       0.19732
+  At iterate    22  f =       253.13  |proj g|=       0.23139
+  At iterate    23  f =       253.13  |proj g|=        0.3719
+  At iterate    24  f =       253.13  |proj g|=       0.59675
+  At iterate    25  f =       253.11  |proj g|=       0.97728
+  At iterate    26  f =       253.08  |proj g|=        1.6456
+  At iterate    27  f =       252.99  |proj g|=        1.8066
+  At iterate    28  f =       252.74  |proj g|=          1.81
+  At iterate    29  f =       252.13  |proj g|=        1.8172
+  At iterate    30  f =       250.99  |proj g|=        1.8293
+  At iterate    31  f =        249.4  |proj g|=        1.8363
+  At iterate    32  f =       246.31  |proj g|=        1.7458
+  At iterate    33  f =       245.95  |proj g|=        1.7434
+  At iterate    34  f =       244.27  |proj g|=        1.7459
+  At iterate    35  f =        243.4  |proj g|=        3.4371
+  At iterate    36  f =       243.28  |proj g|=        1.7278
+  At iterate    37  f =       243.27  |proj g|=        0.8068
+  At iterate    38  f =       243.26  |proj g|=      0.020539
+  At iterate    39  f =       243.26  |proj g|=     0.0038506
+  At iterate    40  f =       243.26  |proj g|=     0.0010127
+  
+  iterations 40
+  function evaluations 54
+  segments explored during Cauchy searches 41
   BFGS updates skipped 0
   active bounds at final generalized Cauchy point 0
-  norm of the final projected gradient 0.00850297
+  norm of the final projected gradient 0.00101269
   final function value 243.264
   
   F = 243.264
@@ -729,36 +728,31 @@
   * trend model : ~1
   * covariance model : 
     - type :  matern5_2 
-    - nugget : 6.818936e-09 
+    - nugget : 9.259022e-09 
     - parameters lower bounds :  1e-10 1e-10 1e-10 
-    - parameters upper bounds :  4 2 1.927652 
-    - variance bounds :  0.06818936 7.227687 
-    - best initial criterion value(s) :  -5033.722 
+    - parameters upper bounds :  4 2 1.946466 
+    - variance bounds :  0.09259022 9.499114 
+    - best initial criterion value(s) :  -210.3949 
   
   N = 4, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=       5033.7  |proj g|=       6.4432
-  At iterate     1  f =       97.706  |proj g|=        3.1391
-  At iterate     2  f =        61.42  |proj g|=       0.76241
-  ys=-1.755e+01  -gs= 2.008e+01, BFGS update SKIPPED
-  At iterate     3  f =       61.268  |proj g|=       0.73502
-  At iterate     4  f =       60.901  |proj g|=       0.63452
-  At iterate     5  f =       60.877  |proj g|=       0.93069
-  At iterate     6  f =        60.87  |proj g|=      0.092181
-  At iterate     7  f =        60.87  |proj g|=     0.0043453
-  At iterate     8  f =        60.87  |proj g|=    2.1553e-05
-  At iterate     9  f =        60.87  |proj g|=    5.0081e-09
+  At iterate     0  f=       210.39  |proj g|=       8.9137
+  At iterate     1  f =       104.61  |proj g|=        2.3804
+  At iterate     2  f =       68.517  |proj g|=       0.13071
+  At iterate     3  f =       68.517  |proj g|=      0.023163
+  At iterate     4  f =       68.517  |proj g|=    0.00021766
+  At iterate     5  f =       68.517  |proj g|=    3.6675e-07
   
-  iterations 9
-  function evaluations 28
-  segments explored during Cauchy searches 12
-  BFGS updates skipped 1
-  active bounds at final generalized Cauchy point 3
-  norm of the final projected gradient 5.00813e-09
-  final function value 60.8698
+  iterations 5
+  function evaluations 16
+  segments explored during Cauchy searches 8
+  BFGS updates skipped 0
+  active bounds at final generalized Cauchy point 2
+  norm of the final projected gradient 3.66747e-07
+  final function value 68.5172
   
-  F = 60.8698
-  final  value 60.869818 
+  F = 68.5172
+  final  value 68.517193 
   converged
   
   optimisation start
@@ -769,36 +763,31 @@
   * trend model : ~1
   * covariance model : 
     - type :  matern5_2 
-    - nugget : 6.818936e-09 
+    - nugget : 9.259022e-09 
     - parameters lower bounds :  1e-10 1e-10 1e-10 
-    - parameters upper bounds :  4 2 1.927652 
-    - variance bounds :  0.06818936 7.227687 
-    - best initial criterion value(s) :  -5033.722 
+    - parameters upper bounds :  4 2 1.946466 
+    - variance bounds :  0.09259022 9.499114 
+    - best initial criterion value(s) :  -210.3949 
   
   N = 4, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=       5033.7  |proj g|=       6.4432
-  At iterate     1  f =       97.706  |proj g|=        3.1391
-  At iterate     2  f =        61.42  |proj g|=       0.76241
-  ys=-1.755e+01  -gs= 2.008e+01, BFGS update SKIPPED
-  At iterate     3  f =       61.268  |proj g|=       0.73502
-  At iterate     4  f =       60.901  |proj g|=       0.63452
-  At iterate     5  f =       60.877  |proj g|=       0.93069
-  At iterate     6  f =        60.87  |proj g|=      0.092181
-  At iterate     7  f =        60.87  |proj g|=     0.0043453
-  At iterate     8  f =        60.87  |proj g|=    2.1553e-05
-  At iterate     9  f =        60.87  |proj g|=    5.0081e-09
+  At iterate     0  f=       210.39  |proj g|=       8.9137
+  At iterate     1  f =       104.61  |proj g|=        2.3804
+  At iterate     2  f =       68.517  |proj g|=       0.13071
+  At iterate     3  f =       68.517  |proj g|=      0.023163
+  At iterate     4  f =       68.517  |proj g|=    0.00021766
+  At iterate     5  f =       68.517  |proj g|=    3.6675e-07
   
-  iterations 9
-  function evaluations 28
-  segments explored during Cauchy searches 12
-  BFGS updates skipped 1
-  active bounds at final generalized Cauchy point 3
-  norm of the final projected gradient 5.00813e-09
-  final function value 60.8698
+  iterations 5
+  function evaluations 16
+  segments explored during Cauchy searches 8
+  BFGS updates skipped 0
+  active bounds at final generalized Cauchy point 2
+  norm of the final projected gradient 3.66747e-07
+  final function value 68.5172
   
-  F = 60.8698
-  final  value 60.869818 
+  F = 68.5172
+  final  value 68.517193 
   converged
   
   optimisation start
@@ -809,35 +798,34 @@
   * trend model : ~1
   * covariance model : 
     - type :  matern5_2 
-    - nugget : 6.818936e-09 
+    - nugget : 9.259022e-09 
     - parameters lower bounds :  1e-10 1e-10 1e-10 
-    - parameters upper bounds :  4 2 1.927652 
-    - variance bounds :  0.06818936 7.227687 
-    - best initial criterion value(s) :  -67354.06 
+    - parameters upper bounds :  4 2 1.946466 
+    - variance bounds :  0.09259022 9.499114 
+    - best initial criterion value(s) :  -2423.522 
   
   N = 4, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=        67354  |proj g|=        6.659
-  At iterate     1  f =       97.706  |proj g|=        3.1391
-  At iterate     2  f =       62.382  |proj g|=       0.89854
-  ys=-3.034e+01  -gs= 1.965e+01, BFGS update SKIPPED
-  At iterate     3  f =       61.766  |proj g|=        0.8163
-  At iterate     4  f =       60.903  |proj g|=       0.63551
-  At iterate     5  f =        60.87  |proj g|=       0.16384
-  At iterate     6  f =        60.87  |proj g|=       0.01806
-  At iterate     7  f =        60.87  |proj g|=    0.00015974
-  At iterate     8  f =        60.87  |proj g|=    1.5404e-07
+  At iterate     0  f=       2423.5  |proj g|=       8.2435
+  At iterate     1  f =       104.61  |proj g|=        2.3804
+  At iterate     2  f =       68.983  |proj g|=        6.8352
+  At iterate     3  f =       68.571  |proj g|=        0.8771
+  At iterate     4  f =       68.523  |proj g|=       0.57987
+  At iterate     5  f =       68.517  |proj g|=      0.087629
+  At iterate     6  f =       68.517  |proj g|=     0.0038629
+  At iterate     7  f =       68.517  |proj g|=    2.4387e-05
+  At iterate     8  f =       68.517  |proj g|=    6.8409e-09
   
   iterations 8
-  function evaluations 32
+  function evaluations 22
   segments explored during Cauchy searches 11
-  BFGS updates skipped 1
-  active bounds at final generalized Cauchy point 2
-  norm of the final projected gradient 1.54041e-07
-  final function value 60.8698
+  BFGS updates skipped 0
+  active bounds at final generalized Cauchy point 3
+  norm of the final projected gradient 6.8409e-09
+  final function value 68.5172
   
-  F = 60.8698
-  final  value 60.869818 
+  F = 68.5172
+  final  value 68.517193 
   converged
   
   optimisation start
@@ -848,35 +836,34 @@
   * trend model : ~1
   * covariance model : 
     - type :  matern5_2 
-    - nugget : 6.818936e-09 
+    - nugget : 9.259022e-09 
     - parameters lower bounds :  1e-10 1e-10 1e-10 
-    - parameters upper bounds :  4 2 1.927652 
-    - variance bounds :  0.06818936 7.227687 
-    - best initial criterion value(s) :  -67354.06 
+    - parameters upper bounds :  4 2 1.946466 
+    - variance bounds :  0.09259022 9.499114 
+    - best initial criterion value(s) :  -2423.522 
   
   N = 4, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=        67354  |proj g|=        6.659
-  At iterate     1  f =       97.706  |proj g|=        3.1391
-  At iterate     2  f =       62.382  |proj g|=       0.89854
-  ys=-3.034e+01  -gs= 1.965e+01, BFGS update SKIPPED
-  At iterate     3  f =       61.766  |proj g|=        0.8163
-  At iterate     4  f =       60.903  |proj g|=       0.63551
-  At iterate     5  f =        60.87  |proj g|=       0.16384
-  At iterate     6  f =        60.87  |proj g|=       0.01806
-  At iterate     7  f =        60.87  |proj g|=    0.00015974
-  At iterate     8  f =        60.87  |proj g|=    1.5404e-07
+  At iterate     0  f=       2423.5  |proj g|=       8.2435
+  At iterate     1  f =       104.61  |proj g|=        2.3804
+  At iterate     2  f =       68.983  |proj g|=        6.8352
+  At iterate     3  f =       68.571  |proj g|=        0.8771
+  At iterate     4  f =       68.523  |proj g|=       0.57987
+  At iterate     5  f =       68.517  |proj g|=      0.087629
+  At iterate     6  f =       68.517  |proj g|=     0.0038629
+  At iterate     7  f =       68.517  |proj g|=    2.4387e-05
+  At iterate     8  f =       68.517  |proj g|=    6.8409e-09
   
   iterations 8
-  function evaluations 32
+  function evaluations 22
   segments explored during Cauchy searches 11
-  BFGS updates skipped 1
-  active bounds at final generalized Cauchy point 2
-  norm of the final projected gradient 1.54041e-07
-  final function value 60.8698
+  BFGS updates skipped 0
+  active bounds at final generalized Cauchy point 3
+  norm of the final projected gradient 6.8409e-09
+  final function value 68.5172
   
-  F = 60.8698
-  final  value 60.869818 
+  F = 68.5172
+  final  value 68.517193 
   converged
   
   optimisation start
@@ -887,35 +874,35 @@
   * trend model : ~1
   * covariance model : 
     - type :  matern5_2 
-    - nugget : 6.818936e-09 
+    - nugget : 9.259022e-09 
     - parameters lower bounds :  1e-10 1e-10 1e-10 
-    - parameters upper bounds :  4 2 1.927652 
-    - variance bounds :  0.06818936 7.227687 
-    - best initial criterion value(s) :  -312.2419 
+    - parameters upper bounds :  4 2 1.946466 
+    - variance bounds :  0.09259022 9.499114 
+    - best initial criterion value(s) :  -369.6293 
   
   N = 4, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=       312.24  |proj g|=       6.1903
-  At iterate     1  f =       97.706  |proj g|=        3.1391
-  At iterate     2  f =        62.11  |proj g|=       0.86364
-  ys=-2.801e+01  -gs= 1.976e+01, BFGS update SKIPPED
-  At iterate     3  f =         61.3  |proj g|=       0.74114
-  At iterate     4  f =       60.875  |proj g|=         0.614
-  At iterate     5  f =       60.871  |proj g|=       0.37658
-  At iterate     6  f =        60.87  |proj g|=      0.015465
-  At iterate     7  f =        60.87  |proj g|=    0.00030403
-  At iterate     8  f =        60.87  |proj g|=    2.5163e-07
+  At iterate     0  f=       369.63  |proj g|=       8.9791
+  At iterate     1  f =       104.61  |proj g|=        2.3804
+  At iterate     2  f =       68.839  |proj g|=       0.97747
+  ys=-9.873e+00  -gs= 2.006e+01, BFGS update SKIPPED
+  At iterate     3  f =       68.743  |proj g|=        0.9485
+  At iterate     4  f =       68.572  |proj g|=        1.9816
+  At iterate     5  f =       68.522  |proj g|=       0.50948
+  At iterate     6  f =       68.517  |proj g|=      0.064967
+  At iterate     7  f =       68.517  |proj g|=     0.0025354
+  At iterate     8  f =       68.517  |proj g|=    1.2025e-05
   
   iterations 8
-  function evaluations 24
+  function evaluations 22
   segments explored during Cauchy searches 11
   BFGS updates skipped 1
-  active bounds at final generalized Cauchy point 2
-  norm of the final projected gradient 2.51631e-07
-  final function value 60.8698
+  active bounds at final generalized Cauchy point 3
+  norm of the final projected gradient 1.2025e-05
+  final function value 68.5172
   
-  F = 60.8698
-  final  value 60.869818 
+  F = 68.5172
+  final  value 68.517193 
   converged
   
   optimisation start
@@ -926,35 +913,35 @@
   * trend model : ~1
   * covariance model : 
     - type :  matern5_2 
-    - nugget : 6.818936e-09 
+    - nugget : 9.259022e-09 
     - parameters lower bounds :  1e-10 1e-10 1e-10 
-    - parameters upper bounds :  4 2 1.927652 
-    - variance bounds :  0.06818936 7.227687 
-    - best initial criterion value(s) :  -881.7054 
+    - parameters upper bounds :  4 2 1.946466 
+    - variance bounds :  0.09259022 9.499114 
+    - best initial criterion value(s) :  -3873.455 
   
   N = 4, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=       881.71  |proj g|=       6.2617
-  At iterate     1  f =       97.706  |proj g|=        3.1391
-  At iterate     2  f =       62.163  |proj g|=       0.87054
-  ys=-2.852e+01  -gs= 1.974e+01, BFGS update SKIPPED
-  At iterate     3  f =       61.335  |proj g|=        0.7475
-  At iterate     4  f =       60.877  |proj g|=       0.61597
-  At iterate     5  f =       60.872  |proj g|=       0.45387
-  At iterate     6  f =        60.87  |proj g|=       0.02119
-  At iterate     7  f =        60.87  |proj g|=    0.00049975
-  At iterate     8  f =        60.87  |proj g|=    5.6695e-07
+  At iterate     0  f=       3873.5  |proj g|=        8.433
+  At iterate     1  f =       104.61  |proj g|=        2.3804
+  At iterate     2  f =       70.783  |proj g|=        1.3422
+  ys=-3.245e+01  -gs= 1.920e+01, BFGS update SKIPPED
+  At iterate     3  f =       69.057  |proj g|=        1.0328
+  At iterate     4  f =       68.527  |proj g|=       0.75818
+  At iterate     5  f =        68.52  |proj g|=       0.45534
+  At iterate     6  f =       68.517  |proj g|=      0.025808
+  At iterate     7  f =       68.517  |proj g|=    0.00082121
+  At iterate     8  f =       68.517  |proj g|=    1.5422e-06
   
   iterations 8
-  function evaluations 28
+  function evaluations 25
   segments explored during Cauchy searches 11
   BFGS updates skipped 1
   active bounds at final generalized Cauchy point 3
-  norm of the final projected gradient 5.66948e-07
-  final function value 60.8698
+  norm of the final projected gradient 1.54221e-06
+  final function value 68.5172
   
-  F = 60.8698
-  final  value 60.869818 
+  F = 68.5172
+  final  value 68.517193 
   converged
   
   optimisation start
@@ -969,55 +956,54 @@
     - 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) :  -290.0556 
+    - best initial criterion value(s) :  -302.1852 
   
   N = 3, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=       290.06  |proj g|=        2.046
-  At iterate     1  f =        284.2  |proj g|=         3.666
-  At iterate     2  f =       282.34  |proj g|=        7.8889
-  At iterate     3  f =       281.83  |proj g|=        6.1347
-  At iterate     4  f =       281.83  |proj g|=        6.2332
-  At iterate     5  f =       281.83  |proj g|=        6.2444
-  At iterate     6  f =       281.82  |proj g|=         6.344
-  At iterate     7  f =       281.81  |proj g|=        6.4567
-  At iterate     8  f =       281.77  |proj g|=        6.6771
-  At iterate     9  f =       281.67  |proj g|=         7.033
-  At iterate    10  f =       281.38  |proj g|=        7.6961
-  At iterate    11  f =        280.5  |proj g|=        7.6952
-  At iterate    12  f =       259.47  |proj g|=        1.8082
-  At iterate    13  f =       259.39  |proj g|=        1.8068
-  At iterate    14  f =       257.08  |proj g|=        9.7525
-  At iterate    15  f =       253.46  |proj g|=        10.245
-  At iterate    16  f =       250.18  |proj g|=        1.8524
-  At iterate    17  f =       248.07  |proj g|=        4.5844
-  At iterate    18  f =       247.25  |proj g|=        1.0971
-  At iterate    19  f =       247.24  |proj g|=        1.7054
-  At iterate    20  f =       247.24  |proj g|=       0.24132
-  At iterate    21  f =       247.24  |proj g|=       0.24121
-  At iterate    22  f =       247.24  |proj g|=       0.24027
-  At iterate    23  f =       247.24  |proj g|=       0.59634
-  At iterate    24  f =       247.22  |proj g|=        1.1543
-  At iterate    25  f =       247.19  |proj g|=        1.6384
-  At iterate    26  f =        247.1  |proj g|=         1.665
-  At iterate    27  f =       247.07  |proj g|=        1.6667
-  At iterate    28  f =       246.85  |proj g|=        1.6884
-  At iterate    29  f =       245.82  |proj g|=        1.6982
-  At iterate    30  f =       244.86  |proj g|=        1.6342
-  At iterate    31  f =       243.55  |proj g|=        1.4643
-  At iterate    32  f =       243.32  |proj g|=        2.4343
-  At iterate    33  f =       243.27  |proj g|=        1.7292
-  At iterate    34  f =       243.27  |proj g|=       0.30799
-  At iterate    35  f =       243.26  |proj g|=       0.15258
-  At iterate    36  f =       243.26  |proj g|=      0.011772
-  At iterate    37  f =       243.26  |proj g|=     0.0010467
-  
-  iterations 37
-  function evaluations 50
-  segments explored during Cauchy searches 38
+  At iterate     0  f=       302.19  |proj g|=       1.8716
+  At iterate     1  f =       271.65  |proj g|=        5.7631
+  At iterate     2  f =       271.61  |proj g|=        5.2377
+  At iterate     3  f =       271.61  |proj g|=        5.2809
+  At iterate     4  f =       271.61  |proj g|=        5.3082
+  At iterate     5  f =       271.61  |proj g|=        5.3776
+  At iterate     6  f =        271.6  |proj g|=        5.4734
+  At iterate     7  f =       271.59  |proj g|=         5.636
+  At iterate     8  f =       271.54  |proj g|=        5.8868
+  At iterate     9  f =       271.42  |proj g|=        6.2682
+  At iterate    10  f =        271.1  |proj g|=        6.1944
+  At iterate    11  f =        270.3  |proj g|=        5.8935
+  At iterate    12  f =       268.47  |proj g|=        5.2071
+  At iterate    13  f =       264.21  |proj g|=        1.8204
+  At iterate    14  f =       264.08  |proj g|=        2.8858
+  At iterate    15  f =       263.58  |proj g|=        2.0069
+  At iterate    16  f =       256.73  |proj g|=        7.1569
+  At iterate    17  f =       252.28  |proj g|=        15.229
+  At iterate    18  f =       250.28  |proj g|=        2.0808
+  At iterate    19  f =       250.13  |proj g|=       0.22622
+  At iterate    20  f =       250.13  |proj g|=       0.22577
+  At iterate    21  f =       250.13  |proj g|=       0.47457
+  At iterate    22  f =       250.12  |proj g|=        1.6961
+  At iterate    23  f =        250.1  |proj g|=        1.6976
+  At iterate    24  f =       250.04  |proj g|=        1.7016
+  At iterate    25  f =        249.9  |proj g|=        1.7816
+  At iterate    26  f =       249.83  |proj g|=        1.7777
+  At iterate    27  f =        249.4  |proj g|=         1.808
+  At iterate    28  f =       247.55  |proj g|=        1.8318
+  At iterate    29  f =       245.88  |proj g|=        1.7399
+  At iterate    30  f =       243.46  |proj g|=         1.456
+  At iterate    31  f =       243.32  |proj g|=       0.71612
+  At iterate    32  f =       243.29  |proj g|=        1.7305
+  At iterate    33  f =       243.26  |proj g|=        1.4326
+  At iterate    34  f =       243.26  |proj g|=       0.10025
+  At iterate    35  f =       243.26  |proj g|=     0.0024419
+  At iterate    36  f =       243.26  |proj g|=    7.1966e-05
+  
+  iterations 36
+  function evaluations 52
+  segments explored during Cauchy searches 37
   BFGS updates skipped 0
   active bounds at final generalized Cauchy point 0
-  norm of the final projected gradient 0.0010467
+  norm of the final projected gradient 7.19659e-05
   final function value 243.264
   
   F = 243.264
@@ -1036,24 +1022,26 @@
     - 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) :  -20177.55 
+    - best initial criterion value(s) :  -13036.91 
   
   N = 3, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=        20178  |proj g|=       594.41
-  At iterate     1  f =       416.28  |proj g|=      0.075984
-  At iterate     2  f =        318.3  |proj g|=      0.089364
-  At iterate     3  f =       318.22  |proj g|=      0.015847
-  At iterate     4  f =       318.22  |proj g|=     0.0017176
-  At iterate     5  f =       318.22  |proj g|=    3.8167e-05
-  At iterate     6  f =       318.22  |proj g|=    8.9429e-08
+  At iterate     0  f=        13037  |proj g|=       194.39
+  At iterate     1  f =       376.66  |proj g|=       0.16652
+  At iterate     2  f =       318.27  |proj g|=      0.057865
+  At iterate     3  f =       318.22  |proj g|=      0.005062
+  Nonpositive definiteness in Cholesky factorization in formk;
+     refresh the lbfgs memory and restart the iteration.
+  At iterate     4  f =       318.22  |proj g|=     0.0039812
+  At iterate     5  f =       318.22  |proj g|=    2.7841e-05
+  At iterate     6  f =       318.22  |proj g|=     1.518e-07
   
   iterations 6
-  function evaluations 20
-  segments explored during Cauchy searches 8
+  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 8.94293e-08
+  norm of the final projected gradient 1.51795e-07
   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)
+ }
> 
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/2025-03-28/deps.csv", 
task.str = "844", release = "/scratch/th798/data.table-revdeps/2025-03-28/data.table_release_1.17.0.tar.gz", 
master = "/scratch/th798/data.table-revdeps/2025-03-28/data.table_master_1.17.99.2cb03162a21328cc5f68a8c3b0e554f5edfcb5b9.tar.gz"
)
> (task.dir <- dirname(.libPaths()[1]))#should be /tmp/th798/slurmid/R-vers
[1] "/tmp/th798/16170278/R-release/844"
> if(requireNamespace("R.cache"))R.cache::getCachePath()
Loading required namespace: R.cache
[1] "/tmp/th798/16170278/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/th798/16170278/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] "2025-03-28 01:21:12 MST"
> install.time <- system.time({
+   install.packages(rev.dep, dep=TRUE)
+ })
Installing package into '/tmp/th798/16170278/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/th798/16170278/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/th798/16170278/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/th798/16170278/RtmpljZo7s/downloaded_packages'
> cat("Time to install revdep:\n")
Time to install revdep:
> print(install.time)
   user  system elapsed 
 84.447   3.641  92.508 
> print(Sys.time())
[1] "2025-03-28 01:22:44 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] "2025-03-28 01:22:44 MST"
Installing package into '/tmp/th798/16170278/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/th798/16170278/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] "2025-03-28 01:23:12 MST"
* using log directory '/tmp/th798/16170278/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 20.190350 
  converged
  # weights:  3 (2 variable)
  initial  value 20.794415 
  final  value 20.190350 
  converged
  # weights:  3 (2 variable)
  initial  value 20.794415 
  final  value 20.694248 
  converged
  # weights:  3 (2 variable)
  initial  value 20.794415 
  final  value 20.694248 
  converged
  # weights:  3 (2 variable)
  initial  value 20.794415 
  final  value 20.752602 
  converged
  # weights:  3 (2 variable)
  initial  value 20.794415 
  final  value 20.752602 
  converged
  # weights:  3 (2 variable)
  initial  value 20.794415 
  final  value 19.095425 
  converged
  # weights:  3 (2 variable)
  initial  value 20.794415 
  final  value 19.095425 
  converged
  # weights:  6 (5 variable)
  initial  value 20.794415 
  iter  10 value 17.986529
  iter  10 value 17.986529
  iter  10 value 17.986529
  final  value 17.986529 
  converged
  # weights:  6 (5 variable)
  initial  value 20.794415 
  iter  10 value 17.986529
  iter  10 value 17.986529
  iter  10 value 17.986529
  final  value 17.986529 
  converged
  # weights:  6 (5 variable)
  initial  value 20.794415 
  iter  10 value 17.986529
  iter  10 value 17.986529
  iter  10 value 17.986529
  final  value 17.986529 
  converged
  # weights:  6 (5 variable)
  initial  value 20.794415 
  iter  10 value 17.986529
  iter  10 value 17.986529
  iter  10 value 17.986529
  final  value 17.986529 
  converged
  # weights:  6 (5 variable)
  initial  value 9.808684 
  iter  10 value 8.076458
  final  value 8.076408 
  converged
  # weights:  6 (5 variable)
  initial  value 9.808684 
  iter  10 value 8.076458
  final  value 8.076408 
  converged
  # weights:  6 (5 variable)
  initial  value 20.794415 
  iter  10 value 17.986529
  iter  10 value 17.986529
  iter  10 value 17.986529
  final  value 17.986529 
  converged
  # weights:  6 (5 variable)
  initial  value 20.794415 
  iter  10 value 17.986529
  iter  10 value 17.986529
  iter  10 value 17.986529
  final  value 17.986529 
  converged
  # weights:  9 (4 variable)
  initial  value 32.958369 
  final  value 31.732830 
  converged
  # weights:  9 (4 variable)
  initial  value 32.958369 
  final  value 31.732830 
  converged
  # weights:  9 (4 variable)
  initial  value 32.958369 
  final  value 31.884179 
  converged
  # weights:  9 (4 variable)
  initial  value 32.958369 
  final  value 31.884179 
  converged
  # weights:  9 (4 variable)
  initial  value 32.958369 
  final  value 32.563781 
  converged
  # weights:  9 (4 variable)
  initial  value 32.958369 
  final  value 32.563781 
  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 30.199047
  final  value 30.195764 
  converged
  # weights:  18 (10 variable)
  initial  value 32.958369 
  iter  10 value 30.199047
  final  value 30.195764 
  converged
  # weights:  18 (10 variable)
  initial  value 32.958369 
  iter  10 value 30.199047
  final  value 30.195764 
  converged
  # weights:  18 (10 variable)
  initial  value 32.958369 
  iter  10 value 30.199047
  final  value 30.195764 
  converged
  # weights:  18 (10 variable)
  initial  value 13.996238 
  iter  10 value 10.821187
  iter  20 value 10.815071
  final  value 10.815058 
  converged
  # weights:  18 (10 variable)
  initial  value 13.996238 
  iter  10 value 10.821187
  iter  20 value 10.815071
  final  value 10.815058 
  converged
  # weights:  18 (10 variable)
  initial  value 32.958369 
  iter  10 value 30.199047
  final  value 30.195764 
  converged
  # weights:  18 (10 variable)
  initial  value 32.958369 
  iter  10 value 30.199047
  final  value 30.195764 
  converged
  # weights:  4 (3 variable)
  initial  value 138.629436 
  iter  10 value 0.097335
  iter  20 value 0.008928
  iter  30 value 0.003213
  iter  40 value 0.002454
  iter  50 value 0.002153
  iter  60 value 0.001766
  iter  70 value 0.001529
  iter  80 value 0.001283
  iter  90 value 0.001169
  iter 100 value 0.000964
  final  value 0.000964 
  stopped after 100 iterations
  # weights:  4 (3 variable)
  initial  value 138.629436 
  iter  10 value 0.097335
  iter  20 value 0.008928
  iter  30 value 0.003213
  iter  40 value 0.002454
  iter  50 value 0.002153
  iter  60 value 0.001766
  iter  70 value 0.001529
  iter  80 value 0.001283
  iter  90 value 0.001169
  iter 100 value 0.000964
  final  value 0.000964 
  stopped after 100 iterations
  # weights:  4 (3 variable)
  initial  value 138.629436 
  iter  10 value 0.097335
  iter  20 value 0.008928
  iter  30 value 0.003213
  iter  40 value 0.002454
  iter  50 value 0.002153
  iter  60 value 0.001766
  iter  70 value 0.001529
  iter  80 value 0.001283
  iter  90 value 0.001169
  iter 100 value 0.000964
  final  value 0.000964 
  stopped after 100 iterations
  # weights:  4 (3 variable)
  initial  value 138.629436 
  iter  10 value 0.097335
  iter  20 value 0.008928
  iter  30 value 0.003213
  iter  40 value 0.002454
  iter  50 value 0.002153
  iter  60 value 0.001766
  iter  70 value 0.001529
  iter  80 value 0.001283
  iter  90 value 0.001169
  iter 100 value 0.000964
  final  value 0.000964 
  stopped after 100 iterations
  # weights:  4 (3 variable)
  initial  value 138.629436 
  iter  10 value 0.097335
  iter  20 value 0.008928
  iter  30 value 0.003213
  iter  40 value 0.002454
  iter  50 value 0.002153
  iter  60 value 0.001766
  iter  70 value 0.001529
  iter  80 value 0.001283
  iter  90 value 0.001169
  iter 100 value 0.000964
  final  value 0.000964 
  stopped after 100 iterations
  # weights:  4 (3 variable)
  initial  value 138.629436 
  iter  10 value 0.097335
  iter  20 value 0.008928
  iter  30 value 0.003213
  iter  40 value 0.002454
  iter  50 value 0.002153
  iter  60 value 0.001766
  iter  70 value 0.001529
  iter  80 value 0.001283
  iter  90 value 0.001169
  iter 100 value 0.000964
  final  value 0.000964 
  stopped after 100 iterations
  # weights:  18 (10 variable)
  initial  value 164.791843 
  iter  10 value 16.177348
  iter  20 value 7.111438
  iter  30 value 6.182999
  iter  40 value 5.984028
  iter  50 value 5.961278
  iter  60 value 5.954900
  iter  70 value 5.951851
  iter  80 value 5.950343
  iter  90 value 5.949904
  iter 100 value 5.949867
  final  value 5.949867 
  stopped after 100 iterations
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 8.790474e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.956928 
    - variance bounds :  0.08643418 8.790474 
    - best initial criterion value(s) :  -8731151 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=   8.7312e+06  |proj g|=       7.5595
  At iterate     1  f =       102.74  |proj g|=        2.5653
  At iterate     2  f =       68.487  |proj g|=        1.1194
  ys=-2.545e+01  -gs= 1.946e+01, BFGS update SKIPPED
  At iterate     3  f =       67.786  |proj g|=       0.98796
  At iterate     4  f =        67.23  |proj g|=       0.80092
  At iterate     5  f =       67.223  |proj g|=       0.51185
  At iterate     6  f =       67.219  |proj g|=      0.029841
  At iterate     7  f =       67.219  |proj g|=     0.0010109
  At iterate     8  f =       67.219  |proj g|=    2.0846e-06
  
  iterations 8
  function evaluations 38
  segments explored during Cauchy searches 11
  BFGS updates skipped 1
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 2.08461e-06
  final function value 67.2189
  
  F = 67.2189
  final  value 67.218947 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 8.790474e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.956928 
    - variance bounds :  0.08643418 8.790474 
    - best initial criterion value(s) :  -8731151 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=   8.7312e+06  |proj g|=       7.5595
  At iterate     1  f =       102.74  |proj g|=        2.5653
  At iterate     2  f =       68.487  |proj g|=        1.1194
  ys=-2.545e+01  -gs= 1.946e+01, BFGS update SKIPPED
  At iterate     3  f =       67.786  |proj g|=       0.98796
  At iterate     4  f =        67.23  |proj g|=       0.80092
  At iterate     5  f =       67.223  |proj g|=       0.51185
  At iterate     6  f =       67.219  |proj g|=      0.029841
  At iterate     7  f =       67.219  |proj g|=     0.0010109
  At iterate     8  f =       67.219  |proj g|=    2.0846e-06
  
  iterations 8
  function evaluations 38
  segments explored during Cauchy searches 11
  BFGS updates skipped 1
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 2.08461e-06
  final function value 67.2189
  
  F = 67.2189
  final  value 67.218947 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 8.790474e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.956928 
    - variance bounds :  0.08643418 8.790474 
    - best initial criterion value(s) :  -360227.8 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=   3.6023e+05  |proj g|=       7.6146
  At iterate     1  f =       102.74  |proj g|=        2.5653
  At iterate     2  f =       68.508  |proj g|=        1.1231
  ys=-2.564e+01  -gs= 1.945e+01, BFGS update SKIPPED
  At iterate     3  f =       67.977  |proj g|=        1.0272
  At iterate     4  f =       67.241  |proj g|=       0.81233
  At iterate     5  f =       67.231  |proj g|=        0.9247
  At iterate     6  f =       67.219  |proj g|=      0.075351
  At iterate     7  f =       67.219  |proj g|=     0.0044781
  At iterate     8  f =       67.219  |proj g|=    2.3416e-05
  At iterate     9  f =       67.219  |proj g|=    7.2293e-09
  
  iterations 9
  function evaluations 36
  segments explored during Cauchy searches 12
  BFGS updates skipped 1
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 7.22934e-09
  final function value 67.2189
  
  F = 67.2189
  final  value 67.218947 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 8.790474e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.956928 
    - variance bounds :  0.08643418 8.790474 
    - best initial criterion value(s) :  -360227.8 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=   3.6023e+05  |proj g|=       7.6146
  At iterate     1  f =       102.74  |proj g|=        2.5653
  At iterate     2  f =       68.508  |proj g|=        1.1231
  ys=-2.564e+01  -gs= 1.945e+01, BFGS update SKIPPED
  At iterate     3  f =       67.977  |proj g|=        1.0272
  At iterate     4  f =       67.241  |proj g|=       0.81233
  At iterate     5  f =       67.231  |proj g|=        0.9247
  At iterate     6  f =       67.219  |proj g|=      0.075351
  At iterate     7  f =       67.219  |proj g|=     0.0044781
  At iterate     8  f =       67.219  |proj g|=    2.3416e-05
  At iterate     9  f =       67.219  |proj g|=    7.2293e-09
  
  iterations 9
  function evaluations 36
  segments explored during Cauchy searches 12
  BFGS updates skipped 1
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 7.22934e-09
  final function value 67.2189
  
  F = 67.2189
  final  value 67.218947 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 8.790474e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.956928 
    - variance bounds :  0.08643418 8.790474 
    - best initial criterion value(s) :  -68387422 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=   6.8387e+07  |proj g|=       7.9015
  At iterate     1  f =       102.74  |proj g|=        2.5653
  At iterate     2  f =       67.651  |proj g|=       0.95715
  ys=-1.251e+01  -gs= 1.987e+01, BFGS update SKIPPED
  At iterate     3  f =       67.539  |proj g|=       0.92896
  At iterate     4  f =       67.344  |proj g|=        3.3157
  At iterate     5  f =       67.233  |proj g|=       0.80464
  At iterate     6  f =       67.219  |proj g|=        0.1788
  At iterate     7  f =       67.219  |proj g|=      0.012712
  At iterate     8  f =       67.219  |proj g|=    0.00015892
  At iterate     9  f =       67.219  |proj g|=    1.3908e-07
  
  iterations 9
  function evaluations 35
  segments explored during Cauchy searches 12
  BFGS updates skipped 1
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 1.39078e-07
  final function value 67.2189
  
  F = 67.2189
  final  value 67.218947 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 8.790474e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.956928 
    - variance bounds :  0.08643418 8.790474 
    - best initial criterion value(s) :  -414919 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=   4.1492e+05  |proj g|=        7.833
  At iterate     1  f =       102.74  |proj g|=        2.5653
  At iterate     2  f =       69.125  |proj g|=        1.2216
  ys=-2.963e+01  -gs= 1.919e+01, BFGS update SKIPPED
  At iterate     3  f =       68.352  |proj g|=        1.0964
  At iterate     4  f =       67.237  |proj g|=       0.80882
  At iterate     5  f =       67.219  |proj g|=      0.081086
  At iterate     6  f =       67.219  |proj g|=     0.0065338
  At iterate     7  f =       67.219  |proj g|=    3.6748e-05
  At iterate     8  f =       67.219  |proj g|=    1.6538e-08
  
  iterations 8
  function evaluations 35
  segments explored during Cauchy searches 11
  BFGS updates skipped 1
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 1.65381e-08
  final function value 67.2189
  
  F = 67.2189
  final  value 67.218947 
  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) :  -305.0108 
  
  N = 3, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       305.01  |proj g|=       9.1125
  At iterate     1  f =       277.57  |proj g|=        1.8523
  At iterate     2  f =       275.31  |proj g|=        1.8493
  At iterate     3  f =        268.5  |proj g|=        1.8326
  At iterate     4  f =       268.05  |proj g|=        1.8286
  At iterate     5  f =       266.56  |proj g|=        2.1994
  At iterate     6  f =       266.34  |proj g|=        3.8205
  At iterate     7  f =       264.88  |proj g|=        2.8156
  At iterate     8  f =       257.12  |proj g|=        6.3288
  At iterate     9  f =       254.65  |proj g|=        13.434
  At iterate    10  f =       252.83  |proj g|=        2.1257
  At iterate    11  f =       252.78  |proj g|=       0.20005
  At iterate    12  f =       252.78  |proj g|=       0.20231
  At iterate    13  f =       252.78  |proj g|=       0.38054
  At iterate    14  f =       252.78  |proj g|=        1.5562
  At iterate    15  f =       252.78  |proj g|=        1.6869
  At iterate    16  f =       252.78  |proj g|=        1.6875
  At iterate    17  f =       252.77  |proj g|=        1.6885
  At iterate    18  f =       252.75  |proj g|=        1.6902
  At iterate    19  f =       252.69  |proj g|=        1.9737
  At iterate    20  f =       252.52  |proj g|=        3.4767
  At iterate    21  f =       252.04  |proj g|=        6.3276
  At iterate    22  f =        250.4  |proj g|=        12.383
  At iterate    23  f =       247.54  |proj g|=        18.956
  At iterate    24  f =       247.16  |proj g|=        19.655
  At iterate    25  f =       244.72  |proj g|=        8.8226
  At iterate    26  f =       244.47  |proj g|=        11.751
  At iterate    27  f =       244.43  |proj g|=        11.769
  At iterate    28  f =       243.94  |proj g|=        9.2573
  At iterate    29  f =        243.3  |proj g|=        1.7304
  At iterate    30  f =       243.26  |proj g|=       0.15279
  At iterate    31  f =       243.26  |proj g|=      0.091417
  At iterate    32  f =       243.26  |proj g|=     0.0037624
  At iterate    33  f =       243.26  |proj g|=    2.0888e-05
  
  iterations 33
  function evaluations 46
  segments explored during Cauchy searches 35
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 0
  norm of the final projected gradient 2.08879e-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) :  -956.2545 
  
  N = 3, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       956.25  |proj g|=       27.344
  At iterate     1  f =       323.74  |proj g|=       0.35271
  At iterate     2  f =       318.95  |proj g|=       0.19917
  At iterate     3  f =       318.23  |proj g|=      0.028273
  At iterate     4  f =       318.22  |proj g|=      0.012809
  At iterate     5  f =       318.22  |proj g|=    0.00050625
  At iterate     6  f =       318.22  |proj g|=    8.6408e-06
  At iterate     7  f =       318.22  |proj g|=    5.9556e-09
  
  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 5.95561e-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) :  -321.8543 
  
  N = 3, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       321.85  |proj g|=       44.168
  At iterate     1  f =       321.63  |proj g|=        44.165
  At iterate     2  f =        320.6  |proj g|=        1.8488
  At iterate     3  f =       319.17  |proj g|=        1.7996
  At iterate     4  f =       314.51  |proj g|=        1.6306
  At iterate     5  f =       284.58  |proj g|=        44.034
  At iterate     6  f =       284.26  |proj g|=        44.038
  At iterate     7  f =       279.02  |proj g|=        43.921
  At iterate     8  f =       274.76  |proj g|=        43.792
  At iterate     9  f =       258.18  |proj g|=        22.127
  At iterate    10  f =       249.87  |proj g|=        15.976
  At iterate    11  f =       248.63  |proj g|=        1.8033
  At iterate    12  f =       247.65  |proj g|=        1.7071
  At iterate    13  f =       247.63  |proj g|=        1.7032
  At iterate    14  f =       247.63  |proj g|=       0.23957
  At iterate    15  f =       247.62  |proj g|=       0.24003
  At iterate    16  f =       247.62  |proj g|=       0.68299
  At iterate    17  f =       247.62  |proj g|=        1.4624
  At iterate    18  f =       247.62  |proj g|=        1.7035
  At iterate    19  f =       247.61  |proj g|=        1.7036
  At iterate    20  f =       247.59  |proj g|=        1.8288
  At iterate    21  f =       247.54  |proj g|=        3.0331
  At iterate    22  f =       247.42  |proj g|=        4.9337
  At iterate    23  f =       247.37  |proj g|=        6.1753
  At iterate    24  f =       247.03  |proj g|=        8.6513
  At iterate    25  f =       245.15  |proj g|=        13.937
  At iterate    26  f =       244.47  |proj g|=        12.337
  At iterate    27  f =       243.29  |proj g|=       0.29943
  At iterate    28  f =       243.27  |proj g|=        1.7279
  At iterate    29  f =       243.27  |proj g|=        1.7288
  At iterate    30  f =       243.26  |proj g|=        1.0777
  At iterate    31  f =       243.26  |proj g|=    0.00073196
  At iterate    32  f =       243.26  |proj g|=    0.00045142
  
  iterations 32
  function evaluations 47
  segments explored during Cauchy searches 34
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 0
  norm of the final projected gradient 0.000451416
  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) :  -299.9316 
  
  N = 3, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       299.93  |proj g|=       2.2016
  At iterate     1  f =       299.18  |proj g|=         2.569
  At iterate     2  f =       297.51  |proj g|=        4.5616
  At iterate     3  f =       297.49  |proj g|=        4.8788
  At iterate     4  f =       297.49  |proj g|=        4.8359
  At iterate     5  f =       297.49  |proj g|=        4.8251
  At iterate     6  f =       297.48  |proj g|=        4.7649
  At iterate     7  f =       297.48  |proj g|=        4.6947
  At iterate     8  f =       297.46  |proj g|=        4.5679
  At iterate     9  f =        297.4  |proj g|=         4.379
  At iterate    10  f =       297.26  |proj g|=        4.0891
  At iterate    11  f =        296.9  |proj g|=        3.6698
  At iterate    12  f =        295.9  |proj g|=        3.0644
  At iterate    13  f =       292.92  |proj g|=        2.0535
  At iterate    14  f =       287.19  |proj g|=        1.8625
  At iterate    15  f =        281.4  |proj g|=        1.8579
  At iterate    16  f =       274.89  |proj g|=        6.4996
  At iterate    17  f =       270.15  |proj g|=        6.8062
  At iterate    18  f =       266.42  |proj g|=        1.8325
  At iterate    19  f =       266.16  |proj g|=          1.83
  At iterate    20  f =       264.78  |proj g|=        2.8291
  At iterate    21  f =        264.4  |proj g|=        4.9365
  At iterate    22  f =       261.36  |proj g|=        1.7854
  At iterate    23  f =       256.73  |proj g|=        8.6175
  At iterate    24  f =       255.17  |proj g|=        15.209
  At iterate    25  f =       251.08  |proj g|=        1.7818
  At iterate    26  f =       251.02  |proj g|=        1.6926
  At iterate    27  f =       251.01  |proj g|=       0.21852
  At iterate    28  f =       251.01  |proj g|=        0.2183
  At iterate    29  f =       251.01  |proj g|=       0.21778
  At iterate    30  f =       251.01  |proj g|=       0.21708
  At iterate    31  f =       251.01  |proj g|=       0.21588
  At iterate    32  f =       251.01  |proj g|=       0.29682
  At iterate    33  f =       251.01  |proj g|=       0.50479
  At iterate    34  f =          251  |proj g|=       0.86275
  At iterate    35  f =       250.98  |proj g|=        1.5134
  At iterate    36  f =       250.93  |proj g|=        1.7545
  At iterate    37  f =        250.8  |proj g|=        1.7792
  At iterate    38  f =       250.58  |proj g|=        1.8237
  At iterate    39  f =       250.17  |proj g|=        1.8626
  At iterate    40  f =       249.99  |proj g|=        1.8722
  At iterate    41  f =       249.78  |proj g|=        1.8698
  At iterate    42  f =       249.06  |proj g|=        1.8475
  At iterate    43  f =       247.75  |proj g|=        1.7659
  At iterate    44  f =       247.13  |proj g|=        1.7661
  At iterate    45  f =        245.3  |proj g|=        1.7583
  At iterate    46  f =       244.23  |proj g|=        4.1017
  At iterate    47  f =       243.62  |proj g|=        1.3329
  At iterate    48  f =       243.54  |proj g|=        1.7332
  At iterate    49  f =       243.29  |proj g|=       0.58114
  At iterate    50  f =       243.27  |proj g|=       0.31249
  At iterate    51  f =       243.26  |proj g|=       0.15259
  At iterate    52  f =       243.26  |proj g|=      0.024765
  At iterate    53  f =       243.26  |proj g|=    0.00071455
  At iterate    54  f =       243.26  |proj g|=    6.6735e-06
  
  iterations 54
  function evaluations 65
  segments explored during Cauchy searches 55
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 0
  norm of the final projected gradient 6.67354e-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 : 1.19474e-08 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.743519 
    - variance bounds :  0.1148136 11.9474 
    - best initial criterion value(s) :  -410.0676 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       410.07  |proj g|=       10.209
  At iterate     1  f =       110.41  |proj g|=        1.8874
  At iterate     2  f =       76.399  |proj g|=        1.5782
  ys=-2.735e+01  -gs= 1.935e+01, BFGS update SKIPPED
  At iterate     3  f =       75.909  |proj g|=        1.4653
  At iterate     4  f =        74.93  |proj g|=        1.1236
  At iterate     5  f =       74.891  |proj g|=       0.12649
  At iterate     6  f =        74.89  |proj g|=      0.015629
  At iterate     7  f =        74.89  |proj g|=    0.00018762
  At iterate     8  f =        74.89  |proj g|=    2.7418e-07
  
  iterations 8
  function evaluations 26
  segments explored during Cauchy searches 11
  BFGS updates skipped 1
  active bounds at final generalized Cauchy point 2
  norm of the final projected gradient 2.74177e-07
  final function value 74.8901
  
  F = 74.8901
  final  value 74.890072 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 1.19474e-08 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.743519 
    - variance bounds :  0.1148136 11.9474 
    - best initial criterion value(s) :  -410.0676 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       410.07  |proj g|=       10.209
  At iterate     1  f =       110.41  |proj g|=        1.8874
  At iterate     2  f =       76.399  |proj g|=        1.5782
  ys=-2.735e+01  -gs= 1.935e+01, BFGS update SKIPPED
  At iterate     3  f =       75.909  |proj g|=        1.4653
  At iterate     4  f =        74.93  |proj g|=        1.1236
  At iterate     5  f =       74.891  |proj g|=       0.12649
  At iterate     6  f =        74.89  |proj g|=      0.015629
  At iterate     7  f =        74.89  |proj g|=    0.00018762
  At iterate     8  f =        74.89  |proj g|=    2.7418e-07
  
  iterations 8
  function evaluations 26
  segments explored during Cauchy searches 11
  BFGS updates skipped 1
  active bounds at final generalized Cauchy point 2
  norm of the final projected gradient 2.74177e-07
  final function value 74.8901
  
  F = 74.8901
  final  value 74.890072 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 1.19474e-08 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.743519 
    - variance bounds :  0.1148136 11.9474 
    - best initial criterion value(s) :  -107.4668 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       107.47  |proj g|=       10.504
  At iterate     1  f =       92.599  |proj g|=        3.0145
  At iterate     2  f =       83.921  |proj g|=        3.0344
  ys=-2.592e+00  -gs= 6.565e+00, BFGS update SKIPPED
  At iterate     3  f =       74.897  |proj g|=        0.4809
  At iterate     4  f =        74.89  |proj g|=      0.036489
  At iterate     5  f =        74.89  |proj g|=     0.0017503
  At iterate     6  f =        74.89  |proj g|=    6.0067e-06
  
  iterations 6
  function evaluations 13
  segments explored during Cauchy searches 9
  BFGS updates skipped 1
  active bounds at final generalized Cauchy point 1
  norm of the final projected gradient 6.00671e-06
  final function value 74.8901
  
  F = 74.8901
  final  value 74.890072 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 1.19474e-08 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.743519 
    - variance bounds :  0.1148136 11.9474 
    - best initial criterion value(s) :  -107.4668 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       107.47  |proj g|=       10.504
  At iterate     1  f =       92.599  |proj g|=        3.0145
  At iterate     2  f =       83.921  |proj g|=        3.0344
  ys=-2.592e+00  -gs= 6.565e+00, BFGS update SKIPPED
  At iterate     3  f =       74.897  |proj g|=        0.4809
  At iterate     4  f =        74.89  |proj g|=      0.036489
  At iterate     5  f =        74.89  |proj g|=     0.0017503
  At iterate     6  f =        74.89  |proj g|=    6.0067e-06
  
  iterations 6
  function evaluations 13
  segments explored during Cauchy searches 9
  BFGS updates skipped 1
  active bounds at final generalized Cauchy point 1
  norm of the final projected gradient 6.00671e-06
  final function value 74.8901
  
  F = 74.8901
  final  value 74.890072 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 1.19474e-08 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.743519 
    - variance bounds :  0.1148136 11.9474 
    - best initial criterion value(s) :  -4276.443 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       4276.4  |proj g|=       11.195
  At iterate     1  f =       110.41  |proj g|=        1.8874
  At iterate     2  f =       76.463  |proj g|=        1.5923
  ys=-2.778e+01  -gs= 1.933e+01, BFGS update SKIPPED
  At iterate     3  f =       75.128  |proj g|=        1.2337
  At iterate     4  f =       74.892  |proj g|=       0.25972
  At iterate     5  f =        74.89  |proj g|=      0.088313
  At iterate     6  f =        74.89  |proj g|=     0.0021929
  At iterate     7  f =        74.89  |proj g|=    1.7959e-05
  
  iterations 7
  function evaluations 24
  segments explored during Cauchy searches 10
  BFGS updates skipped 1
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 1.79586e-05
  final function value 74.8901
  
  F = 74.8901
  final  value 74.890072 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 1.19474e-08 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.743519 
    - variance bounds :  0.1148136 11.9474 
    - best initial criterion value(s) :  -76.0434 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       76.043  |proj g|=       3.6516
  At iterate     1  f =        75.65  |proj g|=       0.57653
  At iterate     2  f =       74.941  |proj g|=        1.4824
  At iterate     3  f =        74.89  |proj g|=      0.047936
  At iterate     4  f =        74.89  |proj g|=     0.0056589
  At iterate     5  f =        74.89  |proj g|=     2.525e-05
  At iterate     6  f =        74.89  |proj g|=    1.3375e-08
  
  iterations 6
  function evaluations 9
  segments explored during Cauchy searches 8
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 1
  norm of the final projected gradient 1.33751e-08
  final function value 74.8901
  
  F = 74.8901
  final  value 74.890072 
  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) :  -3420.041 
  
  N = 3, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=         3420  |proj g|=       59.282
  At iterate     1  f =       343.96  |proj g|=       0.30604
  At iterate     2  f =       318.22  |proj g|=      0.011313
  At iterate     3  f =       318.22  |proj g|=    0.00053747
  At iterate     4  f =       318.22  |proj g|=    8.4416e-06
  At iterate     5  f =       318.22  |proj g|=    6.1773e-09
  
  iterations 5
  function evaluations 19
  segments explored during Cauchy searches 7
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 2
  norm of the final projected gradient 6.17726e-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) :  -574.2325 
  
  N = 3, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       574.23  |proj g|=       8.5166
  At iterate     1  f =       322.79  |proj g|=       0.34231
  At iterate     2  f =       318.98  |proj g|=       0.20179
  At iterate     3  f =       318.24  |proj g|=      0.033808
  At iterate     4  f =       318.22  |proj g|=      0.015877
  At iterate     5  f =       318.22  |proj g|=    0.00075377
  At iterate     6  f =       318.22  |proj g|=    1.5872e-05
  At iterate     7  f =       318.22  |proj g|=    1.6296e-08
  
  iterations 7
  function evaluations 15
  segments explored during Cauchy searches 9
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 2
  norm of the final projected gradient 1.62955e-08
  final function value 318.222
  
  F = 318.222
  final  value 318.221782 
  converged
  [ FAIL 2 | WARN 227 | SKIP 4 | PASS 547 ]
  
  == Skipped tests (4) ===========================================================
  * On CRAN (4): 'test_classif_nnet.R:2:1', 'test_classif_xgboost.R:2:1',
    'test_regr_nnet.R:2:1', 'test_regr_xgboost.R:2:1'
  
  == Failed tests ================================================================
  -- Failure ('test_classif_ranger.R:8:3'): autotest -----------------------------
  `result` is not TRUE
  
  `actual` is a list
  `expected` is a logical vector (TRUE)
  [train()] learner 'classif.ranger:response' on task 'missings_binary' failed: Error : Missing data in columns: character, factor, integer, logical, numeric, ordered.
  
  -- Failure ('test_regr_ranger.R:7:3'): autotest --------------------------------
  `result` is not TRUE
  
  `actual` is a list
  `expected` is a logical vector (TRUE)
  [train()] learner 'regr.ranger:response' on task 'missings' failed: Error : Missing data in columns: character, factor, integer, logical, numeric, ordered.
  
  
  [ FAIL 2 | WARN 227 | SKIP 4 | PASS 547 ]
  Error: Test failures
  Execution halted
* checking PDF version of manual ... OK
* DONE

Status: 1 ERROR
See
  '/tmp/th798/16170278/R-release/844/mlr3learners.Rcheck/00check.log'
for details.

[1] "2025-03-28 01:25:43 MST"
[1] "2025-03-28 01:25:43 MST"
Installing package into '/tmp/th798/16170278/R-release/844/library'
(as 'lib' is unspecified)
* installing *source* package 'data.table' ...
** using staged installation
zlib 1.2.13 is available ok
* checking if R installation supports OpenMP without any extra hints... yes
** libs
using C compiler: 'gcc (Spack GCC) 12.2.0'
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c assign.c -o assign.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c between.c -o between.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c bmerge.c -o bmerge.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c chmatch.c -o chmatch.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c cj.c -o cj.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c coalesce.c -o coalesce.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c dogroups.c -o dogroups.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c fastmean.c -o fastmean.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c fcast.c -o fcast.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c fifelse.c -o fifelse.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c fmelt.c -o fmelt.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c forder.c -o forder.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c frank.c -o frank.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c fread.c -o fread.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c freadR.c -o freadR.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c froll.c -o froll.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c frollR.c -o frollR.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c frolladaptive.c -o frolladaptive.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c fsort.c -o fsort.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c fwrite.c -o fwrite.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c fwriteR.c -o fwriteR.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c gsumm.c -o gsumm.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c idatetime.c -o idatetime.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c ijoin.c -o ijoin.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c init.c -o init.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c inrange.c -o inrange.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c nafill.c -o nafill.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c negate.c -o negate.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c nqrecreateindices.c -o nqrecreateindices.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c openmp-utils.c -o openmp-utils.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c programming.c -o programming.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c quickselect.c -o quickselect.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c rbindlist.c -o rbindlist.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c reorder.c -o reorder.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c shift.c -o shift.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c snprintf.c -o snprintf.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c subset.c -o subset.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c transpose.c -o transpose.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c types.c -o types.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c uniqlist.c -o uniqlist.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c utils.c -o utils.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c vecseq.c -o vecseq.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG   -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include   -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic  -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include  -c wrappers.c -o wrappers.o
/packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o data.table.so assign.o between.o bmerge.o chmatch.o cj.o coalesce.o dogroups.o fastmean.o fcast.o fifelse.o fmelt.o forder.o frank.o fread.o freadR.o froll.o frollR.o frolladaptive.o fsort.o fwrite.o fwriteR.o gsumm.o idatetime.o ijoin.o init.o inrange.o nafill.o negate.o nqrecreateindices.o openmp-utils.o programming.o quickselect.o rbindlist.o reorder.o shift.o snprintf.o subset.o transpose.o types.o uniqlist.o utils.o vecseq.o wrappers.o -fopenmp -L/home/th798/.conda/envs/emacs1/lib -lz
PKG_CFLAGS = -fopenmp -I/home/th798/.conda/envs/emacs1/include
PKG_LIBS = -fopenmp -L/home/th798/.conda/envs/emacs1/lib -lz
if [ "data.table.so" != "data_table.so" ]; then mv data.table.so data_table.so; fi
if [ "" != "Windows_NT" ] && [ `uname -s` = 'Darwin' ]; then install_name_tool -id data_table.so data_table.so; fi
installing to /tmp/th798/16170278/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] "2025-03-28 01:26:10 MST"
* using log directory '/tmp/th798/16170278/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
Examples with CPU (user + system) or elapsed time > 5s
                                user system elapsed
mlr_learners_classif.cv_glmnet 3.411  0.133   5.571
* 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 20.631238 
  converged
  # weights:  3 (2 variable)
  initial  value 20.794415 
  final  value 20.631238 
  converged
  # weights:  3 (2 variable)
  initial  value 20.794415 
  final  value 20.727699 
  converged
  # weights:  3 (2 variable)
  initial  value 20.794415 
  final  value 20.727699 
  converged
  # weights:  6 (5 variable)
  initial  value 20.794415 
  final  value 18.745926 
  converged
  # weights:  6 (5 variable)
  initial  value 20.794415 
  final  value 18.745926 
  converged
  # weights:  6 (5 variable)
  initial  value 20.794415 
  final  value 18.745926 
  converged
  # weights:  6 (5 variable)
  initial  value 20.794415 
  final  value 18.745926 
  converged
  # weights:  6 (5 variable)
  initial  value 10.099708 
  iter  10 value 8.909570
  final  value 8.909559 
  converged
  # weights:  6 (5 variable)
  initial  value 10.099708 
  iter  10 value 8.909570
  final  value 8.909559 
  converged
  # weights:  6 (5 variable)
  initial  value 20.794415 
  final  value 18.745926 
  converged
  # weights:  6 (5 variable)
  initial  value 20.794415 
  final  value 18.745926 
  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 32.807897 
  converged
  # weights:  9 (4 variable)
  initial  value 32.958369 
  final  value 32.807897 
  converged
  # weights:  9 (4 variable)
  initial  value 32.958369 
  final  value 31.685641 
  converged
  # weights:  9 (4 variable)
  initial  value 32.958369 
  final  value 31.685641 
  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 30.899480
  final  value 30.896589 
  converged
  # weights:  18 (10 variable)
  initial  value 32.958369 
  iter  10 value 30.899480
  final  value 30.896589 
  converged
  # weights:  18 (10 variable)
  initial  value 32.958369 
  iter  10 value 30.899480
  final  value 30.896589 
  converged
  # weights:  18 (10 variable)
  initial  value 32.958369 
  iter  10 value 30.899480
  final  value 30.896589 
  converged
  # weights:  18 (10 variable)
  initial  value 16.538634 
  iter  10 value 14.528800
  iter  20 value 14.521273
  final  value 14.521272 
  converged
  # weights:  18 (10 variable)
  initial  value 16.538634 
  iter  10 value 14.528800
  iter  20 value 14.521273
  final  value 14.521272 
  converged
  # weights:  18 (10 variable)
  initial  value 32.958369 
  iter  10 value 30.899480
  final  value 30.896589 
  converged
  # weights:  18 (10 variable)
  initial  value 32.958369 
  iter  10 value 30.899480
  final  value 30.896589 
  converged
  # weights:  4 (3 variable)
  initial  value 138.629436 
  iter  10 value 0.097335
  iter  20 value 0.008928
  iter  30 value 0.003213
  iter  40 value 0.002454
  iter  50 value 0.002153
  iter  60 value 0.001766
  iter  70 value 0.001529
  iter  80 value 0.001283
  iter  90 value 0.001169
  iter 100 value 0.000964
  final  value 0.000964 
  stopped after 100 iterations
  # weights:  4 (3 variable)
  initial  value 138.629436 
  iter  10 value 0.097335
  iter  20 value 0.008928
  iter  30 value 0.003213
  iter  40 value 0.002454
  iter  50 value 0.002153
  iter  60 value 0.001766
  iter  70 value 0.001529
  iter  80 value 0.001283
  iter  90 value 0.001169
  iter 100 value 0.000964
  final  value 0.000964 
  stopped after 100 iterations
  # weights:  4 (3 variable)
  initial  value 138.629436 
  iter  10 value 0.097335
  iter  20 value 0.008928
  iter  30 value 0.003213
  iter  40 value 0.002454
  iter  50 value 0.002153
  iter  60 value 0.001766
  iter  70 value 0.001529
  iter  80 value 0.001283
  iter  90 value 0.001169
  iter 100 value 0.000964
  final  value 0.000964 
  stopped after 100 iterations
  # weights:  4 (3 variable)
  initial  value 138.629436 
  iter  10 value 0.097335
  iter  20 value 0.008928
  iter  30 value 0.003213
  iter  40 value 0.002454
  iter  50 value 0.002153
  iter  60 value 0.001766
  iter  70 value 0.001529
  iter  80 value 0.001283
  iter  90 value 0.001169
  iter 100 value 0.000964
  final  value 0.000964 
  stopped after 100 iterations
  # weights:  4 (3 variable)
  initial  value 138.629436 
  iter  10 value 0.097335
  iter  20 value 0.008928
  iter  30 value 0.003213
  iter  40 value 0.002454
  iter  50 value 0.002153
  iter  60 value 0.001766
  iter  70 value 0.001529
  iter  80 value 0.001283
  iter  90 value 0.001169
  iter 100 value 0.000964
  final  value 0.000964 
  stopped after 100 iterations
  # weights:  4 (3 variable)
  initial  value 138.629436 
  iter  10 value 0.097335
  iter  20 value 0.008928
  iter  30 value 0.003213
  iter  40 value 0.002454
  iter  50 value 0.002153
  iter  60 value 0.001766
  iter  70 value 0.001529
  iter  80 value 0.001283
  iter  90 value 0.001169
  iter 100 value 0.000964
  final  value 0.000964 
  stopped after 100 iterations
  # weights:  18 (10 variable)
  initial  value 164.791843 
  iter  10 value 16.177348
  iter  20 value 7.111438
  iter  30 value 6.182999
  iter  40 value 5.984028
  iter  50 value 5.961278
  iter  60 value 5.954900
  iter  70 value 5.951851
  iter  80 value 5.950343
  iter  90 value 5.949904
  iter 100 value 5.949867
  final  value 5.949867 
  stopped after 100 iterations
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 8.228337e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.932624 
    - variance bounds :  0.08228337 8.286206 
    - best initial criterion value(s) :  -1285239 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=   1.2852e+06  |proj g|=        7.815
  At iterate     1  f =       101.24  |proj g|=        2.7235
  At iterate     2  f =       65.568  |proj g|=       0.22594
  At iterate     3  f =       65.567  |proj g|=      0.016362
  At iterate     4  f =       65.567  |proj g|=    0.00024324
  At iterate     5  f =       65.567  |proj g|=    2.5707e-07
  
  iterations 5
  function evaluations 23
  segments explored during Cauchy searches 8
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 2.57072e-07
  final function value 65.5668
  
  F = 65.5668
  final  value 65.566831 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 8.228337e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.932624 
    - variance bounds :  0.08228337 8.286206 
    - best initial criterion value(s) :  -1285239 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=   1.2852e+06  |proj g|=        7.815
  At iterate     1  f =       101.24  |proj g|=        2.7235
  At iterate     2  f =       65.568  |proj g|=       0.22594
  At iterate     3  f =       65.567  |proj g|=      0.016362
  At iterate     4  f =       65.567  |proj g|=    0.00024324
  At iterate     5  f =       65.567  |proj g|=    2.5707e-07
  
  iterations 5
  function evaluations 23
  segments explored during Cauchy searches 8
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 2.57072e-07
  final function value 65.5668
  
  F = 65.5668
  final  value 65.566831 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 8.228337e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.932624 
    - variance bounds :  0.08228337 8.286206 
    - best initial criterion value(s) :  -34562.82 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=        34563  |proj g|=       7.0924
  At iterate     1  f =       101.24  |proj g|=        2.7235
  At iterate     2  f =       65.672  |proj g|=        3.2094
  At iterate     3  f =       65.568  |proj g|=       0.23293
  At iterate     4  f =       65.567  |proj g|=      0.039134
  At iterate     5  f =       65.567  |proj g|=    0.00060125
  At iterate     6  f =       65.567  |proj g|=    1.5226e-06
  
  iterations 6
  function evaluations 21
  segments explored during Cauchy searches 9
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 2
  norm of the final projected gradient 1.52259e-06
  final function value 65.5668
  
  F = 65.5668
  final  value 65.566831 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 8.228337e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.932624 
    - variance bounds :  0.08228337 8.286206 
    - best initial criterion value(s) :  -34562.82 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=        34563  |proj g|=       7.0924
  At iterate     1  f =       101.24  |proj g|=        2.7235
  At iterate     2  f =       65.672  |proj g|=        3.2094
  At iterate     3  f =       65.568  |proj g|=       0.23293
  At iterate     4  f =       65.567  |proj g|=      0.039134
  At iterate     5  f =       65.567  |proj g|=    0.00060125
  At iterate     6  f =       65.567  |proj g|=    1.5226e-06
  
  iterations 6
  function evaluations 21
  segments explored during Cauchy searches 9
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 2
  norm of the final projected gradient 1.52259e-06
  final function value 65.5668
  
  F = 65.5668
  final  value 65.566831 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 8.228337e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.932624 
    - variance bounds :  0.08228337 8.286206 
    - best initial criterion value(s) :  -528.642 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       528.64  |proj g|=       7.7787
  At iterate     1  f =       101.24  |proj g|=        2.7235
  At iterate     2  f =       65.886  |proj g|=       0.86793
  ys=-9.237e+00  -gs= 1.998e+01, BFGS update SKIPPED
  At iterate     3  f =       65.794  |proj g|=       0.84319
  At iterate     4  f =       65.621  |proj g|=        2.2222
  At iterate     5  f =       65.571  |proj g|=       0.57306
  At iterate     6  f =       65.567  |proj g|=      0.072861
  At iterate     7  f =       65.567  |proj g|=     0.0028421
  At iterate     8  f =       65.567  |proj g|=    1.3435e-05
  
  iterations 8
  function evaluations 26
  segments explored during Cauchy searches 11
  BFGS updates skipped 1
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 1.34347e-05
  final function value 65.5668
  
  F = 65.5668
  final  value 65.566831 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 8.228337e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.932624 
    - variance bounds :  0.08228337 8.286206 
    - best initial criterion value(s) :  -1797955 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=    1.798e+06  |proj g|=       7.2676
  At iterate     1  f =       101.24  |proj g|=        2.7235
  At iterate     2  f =       65.604  |proj g|=        1.8245
  At iterate     3  f =       65.567  |proj g|=      0.030037
  At iterate     4  f =       65.567  |proj g|=     0.0030949
  At iterate     5  f =       65.567  |proj g|=    6.0131e-06
  
  iterations 5
  function evaluations 23
  segments explored during Cauchy searches 8
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 6.01306e-06
  final function value 65.5668
  
  F = 65.5668
  final  value 65.566831 
  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) :  -302.9342 
  
  N = 3, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       302.93  |proj g|=        3.955
  At iterate     1  f =       261.33  |proj g|=        1.8018
  At iterate     2  f =       261.06  |proj g|=         1.799
  At iterate     3  f =       260.23  |proj g|=        2.6626
  At iterate     4  f =       250.91  |proj g|=        6.1003
  At iterate     5  f =        250.7  |proj g|=        8.8049
  At iterate     6  f =       249.63  |proj g|=        1.7135
  At iterate     7  f =       249.59  |proj g|=        1.6969
  At iterate     8  f =       249.59  |proj g|=       0.22939
  At iterate     9  f =       249.59  |proj g|=       0.22872
  At iterate    10  f =       249.59  |proj g|=       0.22803
  At iterate    11  f =       249.58  |proj g|=       0.30277
  At iterate    12  f =       249.58  |proj g|=       0.47531
  At iterate    13  f =       249.58  |proj g|=       0.75049
  At iterate    14  f =       249.56  |proj g|=        1.1289
  At iterate    15  f =       249.51  |proj g|=        1.6848
  At iterate    16  f =       249.39  |proj g|=         1.671
  At iterate    17  f =       249.07  |proj g|=        1.6329
  At iterate    18  f =       248.29  |proj g|=        1.5369
  At iterate    19  f =       247.12  |proj g|=        1.3673
  At iterate    20  f =       245.34  |proj g|=        1.3084
  At iterate    21  f =       243.99  |proj g|=        8.5687
  At iterate    22  f =       243.78  |proj g|=        6.1403
  At iterate    23  f =       243.59  |proj g|=        5.0329
  At iterate    24  f =       243.29  |proj g|=        1.7288
  At iterate    25  f =       243.27  |proj g|=       0.43533
  At iterate    26  f =       243.26  |proj g|=        0.1444
  At iterate    27  f =       243.26  |proj g|=      0.011043
  At iterate    28  f =       243.26  |proj g|=     0.0016558
  
  iterations 28
  function evaluations 36
  segments explored during Cauchy searches 30
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 0
  norm of the final projected gradient 0.00165584
  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) :  -311.5851 
  
  N = 3, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       311.59  |proj g|=       1.8758
  At iterate     1  f =       305.59  |proj g|=        2.5883
  At iterate     2  f =       305.25  |proj g|=        9.9181
  At iterate     3  f =       301.66  |proj g|=        5.7356
  At iterate     4  f =       301.56  |proj g|=        5.1199
  At iterate     5  f =       301.56  |proj g|=        5.0804
  At iterate     6  f =       301.56  |proj g|=        5.0706
  At iterate     7  f =       301.56  |proj g|=        5.0099
  At iterate     8  f =       301.55  |proj g|=        4.9418
  At iterate     9  f =       301.54  |proj g|=        4.8203
  At iterate    10  f =       301.49  |proj g|=        4.6461
  At iterate    11  f =       301.36  |proj g|=         4.385
  At iterate    12  f =       300.98  |proj g|=        4.0117
  At iterate    13  f =       299.86  |proj g|=        3.4541
  At iterate    14  f =       296.44  |proj g|=        2.4659
  At iterate    15  f =       289.88  |proj g|=        1.8686
  At iterate    16  f =       284.66  |proj g|=        2.0711
  At iterate    17  f =       266.15  |proj g|=        1.8508
  At iterate    18  f =       263.16  |proj g|=        4.7589
  At iterate    19  f =       261.04  |proj g|=        2.1254
  At iterate    20  f =       260.54  |proj g|=        1.8331
  At iterate    21  f =       260.18  |proj g|=        1.8291
  At iterate    22  f =       257.75  |proj g|=        4.2683
  At iterate    23  f =       257.52  |proj g|=        6.0114
  At iterate    24  f =       255.67  |proj g|=        13.852
  At iterate    25  f =       249.15  |proj g|=        8.9343
  At iterate    26  f =       246.23  |proj g|=        1.6474
  At iterate    27  f =        245.8  |proj g|=       0.54455
  At iterate    28  f =       245.74  |proj g|=        1.7129
  At iterate    29  f =       245.74  |proj g|=       0.23472
  At iterate    30  f =       245.74  |proj g|=       0.23471
  At iterate    31  f =       245.74  |proj g|=       0.33538
  At iterate    32  f =       245.74  |proj g|=       0.86418
  At iterate    33  f =       245.73  |proj g|=        1.7116
  At iterate    34  f =       245.73  |proj g|=        1.7123
  At iterate    35  f =       245.72  |proj g|=        1.7133
  At iterate    36  f =       245.71  |proj g|=        1.7152
  At iterate    37  f =       245.68  |proj g|=        1.7161
  At iterate    38  f =       245.53  |proj g|=        1.7193
  At iterate    39  f =       245.06  |proj g|=        1.7253
  At iterate    40  f =       244.27  |proj g|=        1.5522
  At iterate    41  f =       243.55  |proj g|=        1.5994
  At iterate    42  f =       243.41  |proj g|=        1.3431
  At iterate    43  f =       243.29  |proj g|=        1.1017
  At iterate    44  f =       243.26  |proj g|=       0.95156
  At iterate    45  f =       243.26  |proj g|=      0.038865
  At iterate    46  f =       243.26  |proj g|=    0.00031672
  At iterate    47  f =       243.26  |proj g|=    8.4887e-05
  
  iterations 47
  function evaluations 59
  segments explored during Cauchy searches 48
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 0
  norm of the final projected gradient 8.48874e-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) :  -304.3456 
  
  N = 3, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       304.35  |proj g|=       44.199
  At iterate     1  f =       280.28  |proj g|=       0.61088
  At iterate     2  f =       263.78  |proj g|=        39.083
  At iterate     3  f =       260.48  |proj g|=        31.542
  At iterate     4  f =       255.35  |proj g|=        13.014
  At iterate     5  f =       248.76  |proj g|=        7.0777
  At iterate     6  f =       247.58  |proj g|=        2.8211
  At iterate     7  f =       247.51  |proj g|=       0.23768
  At iterate     8  f =       247.51  |proj g|=       0.24078
  At iterate     9  f =       247.51  |proj g|=       0.24089
  At iterate    10  f =       247.51  |proj g|=       0.24119
  At iterate    11  f =       247.51  |proj g|=       0.27575
  At iterate    12  f =        247.5  |proj g|=       0.58297
  At iterate    13  f =       247.48  |proj g|=        1.1998
  At iterate    14  f =       247.47  |proj g|=       0.76271
  At iterate    15  f =       247.42  |proj g|=        1.8514
  At iterate    16  f =       247.22  |proj g|=        3.9226
  At iterate    17  f =       246.49  |proj g|=        7.6255
  At iterate    18  f =       245.43  |proj g|=         9.856
  At iterate    19  f =       244.44  |proj g|=        9.7419
  At iterate    20  f =       244.41  |proj g|=        10.157
  At iterate    21  f =       243.64  |proj g|=        6.3585
  At iterate    22  f =       243.41  |proj g|=        1.7319
  At iterate    23  f =       243.27  |proj g|=       0.31761
  At iterate    24  f =       243.26  |proj g|=       0.13483
  At iterate    25  f =       243.26  |proj g|=      0.011047
  At iterate    26  f =       243.26  |proj g|=     0.0056002
  
  iterations 26
  function evaluations 37
  segments explored during Cauchy searches 28
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 0
  norm of the final projected gradient 0.00560021
  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) :  -970.857 
  
  N = 3, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       970.86  |proj g|=       28.008
  At iterate     1  f =       323.89  |proj g|=       0.35397
  At iterate     2  f =       319.28  |proj g|=         0.228
  At iterate     3  f =       318.23  |proj g|=      0.016718
  At iterate     4  f =       318.22  |proj g|=     0.0092781
  At iterate     5  f =       318.22  |proj g|=    0.00021375
  At iterate     6  f =       318.22  |proj g|=    2.6568e-06
  
  iterations 6
  function evaluations 16
  segments explored during Cauchy searches 8
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 2
  norm of the final projected gradient 2.65675e-06
  final function value 318.222
  
  F = 318.222
  final  value 318.221782 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 8.106529e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.948717 
    - variance bounds :  0.07799759 8.106529 
    - best initial criterion value(s) :  -74.66536 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       74.665  |proj g|=       6.9176
  At iterate     1  f =       71.861  |proj g|=        2.9718
  At iterate     2  f =       66.071  |proj g|=        1.8958
  At iterate     3  f =       65.302  |proj g|=        3.0335
  At iterate     4  f =       64.838  |proj g|=        2.1355
  At iterate     5  f =       64.056  |proj g|=        0.9358
  At iterate     6  f =       64.054  |proj g|=       0.91159
  At iterate     7  f =       64.045  |proj g|=       0.88401
  At iterate     8  f =       64.044  |proj g|=        1.1927
  At iterate     9  f =       64.044  |proj g|=       0.84405
  At iterate    10  f =       64.044  |proj g|=       0.84553
  At iterate    11  f =       64.044  |proj g|=       0.84896
  At iterate    12  f =       64.044  |proj g|=       0.85394
  At iterate    13  f =       64.043  |proj g|=       0.86264
  At iterate    14  f =       64.043  |proj g|=       0.87697
  At iterate    15  f =       64.042  |proj g|=       0.90204
  At iterate    16  f =       64.038  |proj g|=       0.94783
  At iterate    17  f =       64.027  |proj g|=         1.036
  At iterate    18  f =       63.995  |proj g|=        1.1387
  At iterate    19  f =       63.666  |proj g|=        1.9397
  At iterate    20  f =       63.664  |proj g|=        1.9394
  At iterate    21  f =       63.633  |proj g|=        1.6759
  At iterate    22  f =       63.629  |proj g|=        1.6991
  At iterate    23  f =       63.572  |proj g|=        1.8359
  At iterate    24  f =       63.466  |proj g|=        1.8576
  At iterate    25  f =       63.286  |proj g|=        1.3435
  At iterate    26  f =       63.163  |proj g|=        1.5399
  At iterate    27  f =       63.147  |proj g|=        1.9444
  At iterate    28  f =       63.127  |proj g|=       0.59391
  At iterate    29  f =       63.119  |proj g|=       0.42987
  At iterate    30  f =       63.113  |proj g|=       0.46083
  At iterate    31  f =       63.091  |proj g|=        1.9431
  At iterate    32  f =       63.091  |proj g|=        1.9431
  At iterate    33  f =       63.091  |proj g|=       0.53189
  At iterate    34  f =       63.091  |proj g|=       0.53497
  At iterate    35  f =       63.091  |proj g|=        0.5399
  At iterate    36  f =        63.09  |proj g|=       0.56305
  At iterate    37  f =       62.979  |proj g|=        1.9382
  At iterate    38  f =       62.969  |proj g|=        1.9375
  At iterate    39  f =       62.916  |proj g|=        1.9365
  At iterate    40  f =       62.664  |proj g|=        1.8336
  At iterate    41  f =       62.278  |proj g|=        2.0246
  At iterate    42  f =       61.275  |proj g|=         2.792
  At iterate    43  f =        61.01  |proj g|=      0.031722
  At iterate    44  f =       60.851  |proj g|=        1.5831
  At iterate    45  f =       60.771  |proj g|=        1.9289
  At iterate    46  f =       60.769  |proj g|=       0.48035
  At iterate    47  f =       60.769  |proj g|=    0.00054534
  At iterate    48  f =       60.769  |proj g|=    0.00096564
  
  iterations 48
  function evaluations 71
  segments explored during Cauchy searches 51
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 2
  norm of the final projected gradient 0.000965637
  final function value 60.7691
  
  F = 60.7691
  final  value 60.769065 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 8.106529e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.948717 
    - variance bounds :  0.07799759 8.106529 
    - best initial criterion value(s) :  -74.66536 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       74.665  |proj g|=       6.9176
  At iterate     1  f =       71.861  |proj g|=        2.9718
  At iterate     2  f =       66.071  |proj g|=        1.8958
  At iterate     3  f =       65.302  |proj g|=        3.0335
  At iterate     4  f =       64.838  |proj g|=        2.1355
  At iterate     5  f =       64.056  |proj g|=        0.9358
  At iterate     6  f =       64.054  |proj g|=       0.91159
  At iterate     7  f =       64.045  |proj g|=       0.88401
  At iterate     8  f =       64.044  |proj g|=        1.1927
  At iterate     9  f =       64.044  |proj g|=       0.84405
  At iterate    10  f =       64.044  |proj g|=       0.84553
  At iterate    11  f =       64.044  |proj g|=       0.84896
  At iterate    12  f =       64.044  |proj g|=       0.85394
  At iterate    13  f =       64.043  |proj g|=       0.86264
  At iterate    14  f =       64.043  |proj g|=       0.87697
  At iterate    15  f =       64.042  |proj g|=       0.90204
  At iterate    16  f =       64.038  |proj g|=       0.94783
  At iterate    17  f =       64.027  |proj g|=         1.036
  At iterate    18  f =       63.995  |proj g|=        1.1387
  At iterate    19  f =       63.666  |proj g|=        1.9397
  At iterate    20  f =       63.664  |proj g|=        1.9394
  At iterate    21  f =       63.633  |proj g|=        1.6759
  At iterate    22  f =       63.629  |proj g|=        1.6991
  At iterate    23  f =       63.572  |proj g|=        1.8359
  At iterate    24  f =       63.466  |proj g|=        1.8576
  At iterate    25  f =       63.286  |proj g|=        1.3435
  At iterate    26  f =       63.163  |proj g|=        1.5399
  At iterate    27  f =       63.147  |proj g|=        1.9444
  At iterate    28  f =       63.127  |proj g|=       0.59391
  At iterate    29  f =       63.119  |proj g|=       0.42987
  At iterate    30  f =       63.113  |proj g|=       0.46083
  At iterate    31  f =       63.091  |proj g|=        1.9431
  At iterate    32  f =       63.091  |proj g|=        1.9431
  At iterate    33  f =       63.091  |proj g|=       0.53189
  At iterate    34  f =       63.091  |proj g|=       0.53497
  At iterate    35  f =       63.091  |proj g|=        0.5399
  At iterate    36  f =        63.09  |proj g|=       0.56305
  At iterate    37  f =       62.979  |proj g|=        1.9382
  At iterate    38  f =       62.969  |proj g|=        1.9375
  At iterate    39  f =       62.916  |proj g|=        1.9365
  At iterate    40  f =       62.664  |proj g|=        1.8336
  At iterate    41  f =       62.278  |proj g|=        2.0246
  At iterate    42  f =       61.275  |proj g|=         2.792
  At iterate    43  f =        61.01  |proj g|=      0.031722
  At iterate    44  f =       60.851  |proj g|=        1.5831
  At iterate    45  f =       60.771  |proj g|=        1.9289
  At iterate    46  f =       60.769  |proj g|=       0.48035
  At iterate    47  f =       60.769  |proj g|=    0.00054534
  At iterate    48  f =       60.769  |proj g|=    0.00096564
  
  iterations 48
  function evaluations 71
  segments explored during Cauchy searches 51
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 2
  norm of the final projected gradient 0.000965637
  final function value 60.7691
  
  F = 60.7691
  final  value 60.769065 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 8.106529e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.948717 
    - variance bounds :  0.07799759 8.106529 
    - best initial criterion value(s) :  -70.64129 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       70.641  |proj g|=       7.2429
  At iterate     1  f =       65.083  |proj g|=        1.7189
  At iterate     2  f =       63.114  |proj g|=        1.5915
  At iterate     3  f =       62.074  |proj g|=        1.9344
  At iterate     4  f =       61.953  |proj g|=        2.0673
  At iterate     5  f =       61.929  |proj g|=        2.1844
  At iterate     6  f =       61.927  |proj g|=        2.1835
  At iterate     7  f =       61.926  |proj g|=        2.1831
  At iterate     8  f =       61.921  |proj g|=          2.18
  At iterate     9  f =       61.906  |proj g|=        2.1707
  At iterate    10  f =       61.869  |proj g|=        2.1442
  At iterate    11  f =       61.776  |proj g|=        2.0752
  At iterate    12  f =       61.561  |proj g|=        1.9092
  At iterate    13  f =       61.141  |proj g|=        3.3678
  At iterate    14  f =       60.613  |proj g|=        5.7445
  At iterate    15  f =       60.374  |proj g|=        3.9331
  At iterate    16  f =       60.362  |proj g|=        3.1702
  At iterate    17  f =       60.361  |proj g|=        3.3461
  At iterate    18  f =       60.359  |proj g|=        3.3939
  At iterate    19  f =       60.332  |proj g|=        3.5942
  At iterate    20  f =       60.294  |proj g|=        3.3683
  At iterate    21  f =       60.229  |proj g|=        2.3758
  At iterate    22  f =       60.226  |proj g|=        2.3732
  At iterate    23  f =       60.185  |proj g|=         1.153
  At iterate    24  f =       60.165  |proj g|=       0.90159
  At iterate    25  f =       60.159  |proj g|=       0.89917
  At iterate    26  f =       60.131  |proj g|=        1.9326
  At iterate    27  f =       59.978  |proj g|=        1.9323
  At iterate    28  f =       59.971  |proj g|=        1.9325
  At iterate    29  f =       59.928  |proj g|=        1.9324
  At iterate    30  f =       59.914  |proj g|=        1.2461
  At iterate    31  f =       59.914  |proj g|=      0.016343
  At iterate    32  f =       59.914  |proj g|=     0.0078453
  At iterate    33  f =       59.914  |proj g|=     0.0077843
  At iterate    34  f =       59.914  |proj g|=       0.01415
  
  iterations 34
  function evaluations 46
  segments explored during Cauchy searches 37
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 0
  norm of the final projected gradient 0.0141502
  final function value 59.9142
  
  F = 59.9142
  final  value 59.914214 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 8.106529e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.948717 
    - variance bounds :  0.07799759 8.106529 
    - best initial criterion value(s) :  -70.64129 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       70.641  |proj g|=       7.2429
  At iterate     1  f =       65.083  |proj g|=        1.7189
  At iterate     2  f =       63.114  |proj g|=        1.5915
  At iterate     3  f =       62.074  |proj g|=        1.9344
  At iterate     4  f =       61.953  |proj g|=        2.0673
  At iterate     5  f =       61.929  |proj g|=        2.1844
  At iterate     6  f =       61.927  |proj g|=        2.1835
  At iterate     7  f =       61.926  |proj g|=        2.1831
  At iterate     8  f =       61.921  |proj g|=          2.18
  At iterate     9  f =       61.906  |proj g|=        2.1707
  At iterate    10  f =       61.869  |proj g|=        2.1442
  At iterate    11  f =       61.776  |proj g|=        2.0752
  At iterate    12  f =       61.561  |proj g|=        1.9092
  At iterate    13  f =       61.141  |proj g|=        3.3678
  At iterate    14  f =       60.613  |proj g|=        5.7445
  At iterate    15  f =       60.374  |proj g|=        3.9331
  At iterate    16  f =       60.362  |proj g|=        3.1702
  At iterate    17  f =       60.361  |proj g|=        3.3461
  At iterate    18  f =       60.359  |proj g|=        3.3939
  At iterate    19  f =       60.332  |proj g|=        3.5942
  At iterate    20  f =       60.294  |proj g|=        3.3683
  At iterate    21  f =       60.229  |proj g|=        2.3758
  At iterate    22  f =       60.226  |proj g|=        2.3732
  At iterate    23  f =       60.185  |proj g|=         1.153
  At iterate    24  f =       60.165  |proj g|=       0.90159
  At iterate    25  f =       60.159  |proj g|=       0.89917
  At iterate    26  f =       60.131  |proj g|=        1.9326
  At iterate    27  f =       59.978  |proj g|=        1.9323
  At iterate    28  f =       59.971  |proj g|=        1.9325
  At iterate    29  f =       59.928  |proj g|=        1.9324
  At iterate    30  f =       59.914  |proj g|=        1.2461
  At iterate    31  f =       59.914  |proj g|=      0.016343
  At iterate    32  f =       59.914  |proj g|=     0.0078453
  At iterate    33  f =       59.914  |proj g|=     0.0077843
  At iterate    34  f =       59.914  |proj g|=       0.01415
  
  iterations 34
  function evaluations 46
  segments explored during Cauchy searches 37
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 0
  norm of the final projected gradient 0.0141502
  final function value 59.9142
  
  F = 59.9142
  final  value 59.914214 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 8.106529e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.948717 
    - variance bounds :  0.07799759 8.106529 
    - best initial criterion value(s) :  -163.7642 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       163.76  |proj g|=       7.3684
  At iterate     1  f =       100.71  |proj g|=        2.7817
  At iterate     2  f =       65.777  |proj g|=        7.4616
  At iterate     3  f =        65.27  |proj g|=       0.78181
  At iterate     4  f =       65.204  |proj g|=       0.73938
  At iterate     5  f =       65.194  |proj g|=       0.15983
  At iterate     6  f =       65.194  |proj g|=     0.0092408
  At iterate     7  f =       65.194  |proj g|=    9.2763e-05
  At iterate     8  f =       65.194  |proj g|=     5.452e-08
  
  iterations 8
  function evaluations 21
  segments explored during Cauchy searches 11
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 5.45198e-08
  final function value 65.194
  
  F = 65.194
  final  value 65.193977 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 8.106529e-09 
    - parameters lower bounds :  1e-10 1e-10 1e-10 
    - parameters upper bounds :  4 2 1.948717 
    - variance bounds :  0.07799759 8.106529 
    - best initial criterion value(s) :  -238.2896 
  
  N = 4, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       238.29  |proj g|=       7.4164
  At iterate     1  f =       100.71  |proj g|=        2.7817
  At iterate     2  f =       67.102  |proj g|=        1.1286
  ys=-2.964e+01  -gs= 1.919e+01, BFGS update SKIPPED
  At iterate     3  f =       66.341  |proj g|=        1.0149
  At iterate     4  f =       65.212  |proj g|=        0.7471
  At iterate     5  f =       65.194  |proj g|=      0.085826
  At iterate     6  f =       65.194  |proj g|=     0.0068021
  At iterate     7  f =       65.194  |proj g|=    3.7338e-05
  At iterate     8  f =       65.194  |proj g|=    1.6133e-08
  
  iterations 8
  function evaluations 23
  segments explored during Cauchy searches 11
  BFGS updates skipped 1
  active bounds at final generalized Cauchy point 3
  norm of the final projected gradient 1.61328e-08
  final function value 65.194
  
  F = 65.194
  final  value 65.193977 
  converged
  
  optimisation start
  ------------------
  * estimation method   : MLE 
  * optimisation method : BFGS 
  * analytical gradient : used
  * trend model : ~1
  * covariance model : 
    - type :  matern5_2 
    - nugget : 3.435024e-07 
    - parameters lower bounds :  1e-10 1e-10 
    - parameters upper bounds :  1.880582 44.27959 
    - variance bounds :  3.435024 622.0591 
    - best initial criterion value(s) :  -320.8523 
  
  N = 3, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       320.85  |proj g|=       1.8789
  At iterate     1  f =       270.24  |proj g|=        1.8454
  At iterate     2  f =        267.9  |proj g|=        2.6805
  At iterate     3  f =        267.9  |proj g|=        2.7002
  At iterate     4  f =        267.9  |proj g|=        2.7178
  At iterate     5  f =        267.9  |proj g|=        2.7549
  At iterate     6  f =        267.9  |proj g|=        2.8081
  At iterate     7  f =       267.89  |proj g|=        2.8935
  At iterate     8  f =       267.87  |proj g|=        3.0195
  At iterate     9  f =       267.83  |proj g|=        3.1946
  At iterate    10  f =       267.72  |proj g|=        3.3991
  At iterate    11  f =       267.43  |proj g|=        3.5152
  At iterate    12  f =       264.54  |proj g|=        1.8137
  At iterate    13  f =       264.34  |proj g|=        2.0861
  At iterate    14  f =       263.37  |proj g|=         2.698
  At iterate    15  f =        257.5  |proj g|=        9.1746
  At iterate    16  f =       254.66  |proj g|=        16.168
  At iterate    17  f =       251.15  |proj g|=        1.6962
  At iterate    18  f =        251.1  |proj g|=       0.53363
  At iterate    19  f =        251.1  |proj g|=       0.21773
  At iterate    20  f =        251.1  |proj g|=       0.21762
  At iterate    21  f =        251.1  |proj g|=       0.21674
  At iterate    22  f =        251.1  |proj g|=       0.21587
  At iterate    23  f =        251.1  |proj g|=       0.21465
  At iterate    24  f =       251.09  |proj g|=       0.21337
  At iterate    25  f =       251.09  |proj g|=       0.21234
  At iterate    26  f =       251.08  |proj g|=       0.22275
  At iterate    27  f =       251.05  |proj g|=        1.0578
  At iterate    28  f =          251  |proj g|=        1.9039
  At iterate    29  f =        250.9  |proj g|=         7.179
  At iterate    30  f =       250.66  |proj g|=        6.2783
  At iterate    31  f =       249.92  |proj g|=        4.2085
  At iterate    32  f =       248.35  |proj g|=       0.43384
  At iterate    33  f =       247.43  |proj g|=        1.3375
  At iterate    34  f =       246.24  |proj g|=        1.3017
  At iterate    35  f =       243.96  |proj g|=        1.3415
  At iterate    36  f =       243.54  |proj g|=        1.7361
  At iterate    37  f =        243.3  |proj g|=        1.4007
  At iterate    38  f =       243.28  |proj g|=        1.3917
  At iterate    39  f =       243.27  |proj g|=       0.32313
  At iterate    40  f =       243.26  |proj g|=       0.15256
  At iterate    41  f =       243.26  |proj g|=     0.0099277
  At iterate    42  f =       243.26  |proj g|=    5.4121e-05
  
  iterations 42
  function evaluations 62
  segments explored during Cauchy searches 43
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 0
  norm of the final projected gradient 5.41208e-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) :  -325.3765 
  
  N = 3, M = 5 machine precision = 2.22045e-16
  At X0, 0 variables are exactly at the bounds
  At iterate     0  f=       325.38  |proj g|=        3.618
  At iterate     1  f =       320.52  |proj g|=        2.3773
  At iterate     2  f =       316.07  |proj g|=        2.0206
  At iterate     3  f =       308.43  |proj g|=        1.8718
  At iterate     4  f =       304.43  |proj g|=        1.8708
  At iterate     5  f =       301.46  |proj g|=        1.8699
  At iterate     6  f =       298.73  |proj g|=        1.8687
  At iterate     7  f =       277.29  |proj g|=        2.0372
  At iterate     8  f =       275.68  |proj g|=        1.8511
  At iterate     9  f =       269.32  |proj g|=        2.7641
  At iterate    10  f =       267.64  |proj g|=        1.8322
  At iterate    11  f =       267.24  |proj g|=        1.8285
  At iterate    12  f =       266.22  |proj g|=        1.8175
  At iterate    13  f =       265.92  |proj g|=        2.7602
  At iterate    14  f =       265.38  |proj g|=         3.424
  At iterate    15  f =        262.5  |proj g|=        2.1938
  At iterate    16  f =       259.76  |proj g|=        7.7264
  At iterate    17  f =       257.99  |proj g|=        14.454
  At iterate    18  f =       252.19  |proj g|=        1.6948
  At iterate    19  f =       252.13  |proj g|=       0.20627
  At iterate    20  f =       252.13  |proj g|=       0.20831
  At iterate    21  f =       252.13  |proj g|=       0.20808
  At iterate    22  f =       252.13  |proj g|=       0.20747
  At iterate    23  f =       252.12  |proj g|=       0.56945
  At iterate    24  f =       252.11  |proj g|=         1.184
  At iterate    25  f =       252.06  |proj g|=        1.8128
  At iterate    26  f =       251.94  |proj g|=        1.8408
  At iterate    27  f =       251.78  |proj g|=        1.9059
  At iterate    28  f =       251.31  |proj g|=        1.9214
  At iterate    29  f =       250.26  |proj g|=        1.8898
  At iterate    30  f =       248.41  |proj g|=        1.7854
  At iterate    31  f =       246.87  |proj g|=        1.4971
  At iterate    32  f =       245.38  |proj g|=        4.1013
  At iterate    33  f =       243.68  |proj g|=         1.404
  At iterate    34  f =       243.41  |proj g|=        1.7355
  At iterate    35  f =       243.28  |proj g|=        1.2728
  At iterate    36  f =       243.27  |proj g|=       0.16757
  At iterate    37  f =       243.26  |proj g|=       0.98583
  At iterate    38  f =       243.26  |proj g|=       0.21573
  At iterate    39  f =       243.26  |proj g|=      0.018994
  At iterate    40  f =       243.26  |proj g|=       0.00749
  At iterate    41  f =       243.26  |proj g|=     0.0029298
  
  iterations 41
  function evaluations 61
  segments explored during Cauchy searches 42
  BFGS updates skipped 0
  active bounds at final generalized Cauchy point 0
  norm of the final projected gradient 0.00292978
  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/th798/16170278/R-release/844/mlr3learners.Rcheck/00check.log'
for details.

[1] "2025-03-28 01:28:49 MST"
> system(paste(c("diff -u", Rcheck.list), collapse=" "))
--- R_version_4.4.3_2025-02-28/release_1.17.0.Rcheck/00check.log	2025-03-28 01:25:43.178837690 -0700
+++ R_version_4.4.3_2025-02-28/master_1.17.99.2cb03162a21328cc5f68a8c3b0e554f5edfcb5b9.Rcheck/00check.log	2025-03-28 01:28:49.597993182 -0700
@@ -47,6 +47,9 @@
 * 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 3.411  0.133   5.571
 * checking for unstated dependencies in 'tests' ... OK
 * checking tests ... ERROR
   Running 'testthat.R'
@@ -60,161 +63,143 @@
   Loading required package: mlr3
   # weights:  3 (2 variable)
   initial  value 20.794415 
-  final  value 20.190350 
+  final  value 20.727699 
   converged
   # weights:  3 (2 variable)
   initial  value 20.794415 
-  final  value 20.190350 
+  final  value 20.727699 
   converged
   # weights:  3 (2 variable)
   initial  value 20.794415 
-  final  value 20.694248 
+  final  value 19.148758 
   converged
   # weights:  3 (2 variable)
   initial  value 20.794415 
-  final  value 20.694248 
+  final  value 19.148758 
   converged
   # weights:  3 (2 variable)
   initial  value 20.794415 
-  final  value 20.752602 
+  final  value 20.631238 
   converged
   # weights:  3 (2 variable)
   initial  value 20.794415 
-  final  value 20.752602 
+  final  value 20.631238 
   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 19.095425 
+  final  value 20.727699 
   converged
   # weights:  6 (5 variable)
   initial  value 20.794415 
-  iter  10 value 17.986529
-  iter  10 value 17.986529
-  iter  10 value 17.986529
-  final  value 17.986529 
+  final  value 18.745926 
   converged
   # weights:  6 (5 variable)
   initial  value 20.794415 
-  iter  10 value 17.986529
-  iter  10 value 17.986529
-  iter  10 value 17.986529
-  final  value 17.986529 
+  final  value 18.745926 
   converged
   # weights:  6 (5 variable)
   initial  value 20.794415 
-  iter  10 value 17.986529
-  iter  10 value 17.986529
-  iter  10 value 17.986529
-  final  value 17.986529 
+  final  value 18.745926 
   converged
   # weights:  6 (5 variable)
   initial  value 20.794415 
-  iter  10 value 17.986529
-  iter  10 value 17.986529
-  iter  10 value 17.986529
-  final  value 17.986529 
+  final  value 18.745926 
   converged
   # weights:  6 (5 variable)
-  initial  value 9.808684 
-  iter  10 value 8.076458
-  final  value 8.076408 
+  initial  value 10.099708 
+  iter  10 value 8.909570
+  final  value 8.909559 
   converged
   # weights:  6 (5 variable)
-  initial  value 9.808684 
-  iter  10 value 8.076458
-  final  value 8.076408 
+  initial  value 10.099708 
+  iter  10 value 8.909570
+  final  value 8.909559 
   converged
   # weights:  6 (5 variable)
   initial  value 20.794415 
-  iter  10 value 17.986529
-  iter  10 value 17.986529
-  iter  10 value 17.986529
-  final  value 17.986529 
+  final  value 18.745926 
   converged
   # weights:  6 (5 variable)
   initial  value 20.794415 
-  iter  10 value 17.986529
-  iter  10 value 17.986529
-  iter  10 value 17.986529
-  final  value 17.986529 
+  final  value 18.745926 
   converged
   # weights:  9 (4 variable)
   initial  value 32.958369 
-  final  value 31.732830 
+  final  value 32.555658 
   converged
   # weights:  9 (4 variable)
   initial  value 32.958369 
-  final  value 31.732830 
+  final  value 32.555658 
   converged
   # weights:  9 (4 variable)
   initial  value 32.958369 
-  final  value 31.884179 
+  final  value 32.807897 
   converged
   # weights:  9 (4 variable)
   initial  value 32.958369 
-  final  value 31.884179 
+  final  value 32.807897 
   converged
   # weights:  9 (4 variable)
   initial  value 32.958369 
-  final  value 32.563781 
+  final  value 31.685641 
   converged
   # weights:  9 (4 variable)
   initial  value 32.958369 
-  final  value 32.563781 
+  final  value 31.685641 
   converged
   # weights:  9 (4 variable)
   initial  value 32.958369 
-  final  value 32.555658 
+  final  value 32.958369 
   converged
   # weights:  9 (4 variable)
   initial  value 32.958369 
-  final  value 32.555658 
+  final  value 32.958369 
   converged
   # weights:  18 (10 variable)
   initial  value 32.958369 
-  iter  10 value 30.199047
-  final  value 30.195764 
+  iter  10 value 30.899480
+  final  value 30.896589 
   converged
   # weights:  18 (10 variable)
   initial  value 32.958369 
-  iter  10 value 30.199047
-  final  value 30.195764 
+  iter  10 value 30.899480
+  final  value 30.896589 
   converged
   # weights:  18 (10 variable)
   initial  value 32.958369 
-  iter  10 value 30.199047
-  final  value 30.195764 
+  iter  10 value 30.899480
+  final  value 30.896589 
   converged
   # weights:  18 (10 variable)
   initial  value 32.958369 
-  iter  10 value 30.199047
-  final  value 30.195764 
+  iter  10 value 30.899480
+  final  value 30.896589 
   converged
   # weights:  18 (10 variable)
-  initial  value 13.996238 
-  iter  10 value 10.821187
-  iter  20 value 10.815071
-  final  value 10.815058 
+  initial  value 16.538634 
+  iter  10 value 14.528800
+  iter  20 value 14.521273
+  final  value 14.521272 
   converged
   # weights:  18 (10 variable)
-  initial  value 13.996238 
-  iter  10 value 10.821187
-  iter  20 value 10.815071
-  final  value 10.815058 
+  initial  value 16.538634 
+  iter  10 value 14.528800
+  iter  20 value 14.521273
+  final  value 14.521272 
   converged
   # weights:  18 (10 variable)
   initial  value 32.958369 
-  iter  10 value 30.199047
-  final  value 30.195764 
+  iter  10 value 30.899480
+  final  value 30.896589 
   converged
   # weights:  18 (10 variable)
   initial  value 32.958369 
-  iter  10 value 30.199047
-  final  value 30.195764 
+  iter  10 value 30.899480
+  final  value 30.896589 
   converged
   # weights:  4 (3 variable)
   initial  value 138.629436 
@@ -323,35 +308,31 @@
   * trend model : ~1
   * covariance model : 
     - type :  matern5_2 
-    - nugget : 8.790474e-09 
+    - nugget : 8.228337e-09 
     - parameters lower bounds :  1e-10 1e-10 1e-10 
-    - parameters upper bounds :  4 2 1.956928 
-    - variance bounds :  0.08643418 8.790474 
-    - best initial criterion value(s) :  -8731151 
+    - parameters upper bounds :  4 2 1.932624 
+    - variance bounds :  0.08228337 8.286206 
+    - best initial criterion value(s) :  -1285239 
   
   N = 4, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=   8.7312e+06  |proj g|=       7.5595
-  At iterate     1  f =       102.74  |proj g|=        2.5653
-  At iterate     2  f =       68.487  |proj g|=        1.1194
-  ys=-2.545e+01  -gs= 1.946e+01, BFGS update SKIPPED
-  At iterate     3  f =       67.786  |proj g|=       0.98796
-  At iterate     4  f =        67.23  |proj g|=       0.80092
-  At iterate     5  f =       67.223  |proj g|=       0.51185
-  At iterate     6  f =       67.219  |proj g|=      0.029841
-  At iterate     7  f =       67.219  |proj g|=     0.0010109
-  At iterate     8  f =       67.219  |proj g|=    2.0846e-06
+  At iterate     0  f=   1.2852e+06  |proj g|=        7.815
+  At iterate     1  f =       101.24  |proj g|=        2.7235
+  At iterate     2  f =       65.568  |proj g|=       0.22594
+  At iterate     3  f =       65.567  |proj g|=      0.016362
+  At iterate     4  f =       65.567  |proj g|=    0.00024324
+  At iterate     5  f =       65.567  |proj g|=    2.5707e-07
   
-  iterations 8
-  function evaluations 38
-  segments explored during Cauchy searches 11
-  BFGS updates skipped 1
+  iterations 5
+  function evaluations 23
+  segments explored during Cauchy searches 8
+  BFGS updates skipped 0
   active bounds at final generalized Cauchy point 3
-  norm of the final projected gradient 2.08461e-06
-  final function value 67.2189
+  norm of the final projected gradient 2.57072e-07
+  final function value 65.5668
   
-  F = 67.2189
-  final  value 67.218947 
+  F = 65.5668
+  final  value 65.566831 
   converged
   
   optimisation start
@@ -362,35 +343,31 @@
   * trend model : ~1
   * covariance model : 
     - type :  matern5_2 
-    - nugget : 8.790474e-09 
+    - nugget : 8.228337e-09 
     - parameters lower bounds :  1e-10 1e-10 1e-10 
-    - parameters upper bounds :  4 2 1.956928 
-    - variance bounds :  0.08643418 8.790474 
-    - best initial criterion value(s) :  -8731151 
+    - parameters upper bounds :  4 2 1.932624 
+    - variance bounds :  0.08228337 8.286206 
+    - best initial criterion value(s) :  -1285239 
   
   N = 4, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=   8.7312e+06  |proj g|=       7.5595
-  At iterate     1  f =       102.74  |proj g|=        2.5653
-  At iterate     2  f =       68.487  |proj g|=        1.1194
-  ys=-2.545e+01  -gs= 1.946e+01, BFGS update SKIPPED
-  At iterate     3  f =       67.786  |proj g|=       0.98796
-  At iterate     4  f =        67.23  |proj g|=       0.80092
-  At iterate     5  f =       67.223  |proj g|=       0.51185
-  At iterate     6  f =       67.219  |proj g|=      0.029841
-  At iterate     7  f =       67.219  |proj g|=     0.0010109
-  At iterate     8  f =       67.219  |proj g|=    2.0846e-06
+  At iterate     0  f=   1.2852e+06  |proj g|=        7.815
+  At iterate     1  f =       101.24  |proj g|=        2.7235
+  At iterate     2  f =       65.568  |proj g|=       0.22594
+  At iterate     3  f =       65.567  |proj g|=      0.016362
+  At iterate     4  f =       65.567  |proj g|=    0.00024324
+  At iterate     5  f =       65.567  |proj g|=    2.5707e-07
   
-  iterations 8
-  function evaluations 38
-  segments explored during Cauchy searches 11
-  BFGS updates skipped 1
+  iterations 5
+  function evaluations 23
+  segments explored during Cauchy searches 8
+  BFGS updates skipped 0
   active bounds at final generalized Cauchy point 3
-  norm of the final projected gradient 2.08461e-06
-  final function value 67.2189
+  norm of the final projected gradient 2.57072e-07
+  final function value 65.5668
   
-  F = 67.2189
-  final  value 67.218947 
+  F = 65.5668
+  final  value 65.566831 
   converged
   
   optimisation start
@@ -401,36 +378,32 @@
   * trend model : ~1
   * covariance model : 
     - type :  matern5_2 
-    - nugget : 8.790474e-09 
+    - nugget : 8.228337e-09 
     - parameters lower bounds :  1e-10 1e-10 1e-10 
-    - parameters upper bounds :  4 2 1.956928 
-    - variance bounds :  0.08643418 8.790474 
-    - best initial criterion value(s) :  -360227.8 
+    - parameters upper bounds :  4 2 1.932624 
+    - variance bounds :  0.08228337 8.286206 
+    - best initial criterion value(s) :  -34562.82 
   
   N = 4, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=   3.6023e+05  |proj g|=       7.6146
-  At iterate     1  f =       102.74  |proj g|=        2.5653
-  At iterate     2  f =       68.508  |proj g|=        1.1231
-  ys=-2.564e+01  -gs= 1.945e+01, BFGS update SKIPPED
-  At iterate     3  f =       67.977  |proj g|=        1.0272
-  At iterate     4  f =       67.241  |proj g|=       0.81233
-  At iterate     5  f =       67.231  |proj g|=        0.9247
-  At iterate     6  f =       67.219  |proj g|=      0.075351
-  At iterate     7  f =       67.219  |proj g|=     0.0044781
-  At iterate     8  f =       67.219  |proj g|=    2.3416e-05
-  At iterate     9  f =       67.219  |proj g|=    7.2293e-09
+  At iterate     0  f=        34563  |proj g|=       7.0924
+  At iterate     1  f =       101.24  |proj g|=        2.7235
+  At iterate     2  f =       65.672  |proj g|=        3.2094
+  At iterate     3  f =       65.568  |proj g|=       0.23293
+  At iterate     4  f =       65.567  |proj g|=      0.039134
+  At iterate     5  f =       65.567  |proj g|=    0.00060125
+  At iterate     6  f =       65.567  |proj g|=    1.5226e-06
   
-  iterations 9
-  function evaluations 36
-  segments explored during Cauchy searches 12
-  BFGS updates skipped 1
-  active bounds at final generalized Cauchy point 3
-  norm of the final projected gradient 7.22934e-09
-  final function value 67.2189
+  iterations 6
+  function evaluations 21
+  segments explored during Cauchy searches 9
+  BFGS updates skipped 0
+  active bounds at final generalized Cauchy point 2
+  norm of the final projected gradient 1.52259e-06
+  final function value 65.5668
   
-  F = 67.2189
-  final  value 67.218947 
+  F = 65.5668
+  final  value 65.566831 
   converged
   
   optimisation start
@@ -441,36 +414,32 @@
   * trend model : ~1
   * covariance model : 
     - type :  matern5_2 
-    - nugget : 8.790474e-09 
+    - nugget : 8.228337e-09 
     - parameters lower bounds :  1e-10 1e-10 1e-10 
-    - parameters upper bounds :  4 2 1.956928 
-    - variance bounds :  0.08643418 8.790474 
-    - best initial criterion value(s) :  -360227.8 
+    - parameters upper bounds :  4 2 1.932624 
+    - variance bounds :  0.08228337 8.286206 
+    - best initial criterion value(s) :  -34562.82 
   
   N = 4, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=   3.6023e+05  |proj g|=       7.6146
-  At iterate     1  f =       102.74  |proj g|=        2.5653
-  At iterate     2  f =       68.508  |proj g|=        1.1231
-  ys=-2.564e+01  -gs= 1.945e+01, BFGS update SKIPPED
-  At iterate     3  f =       67.977  |proj g|=        1.0272
-  At iterate     4  f =       67.241  |proj g|=       0.81233
-  At iterate     5  f =       67.231  |proj g|=        0.9247
-  At iterate     6  f =       67.219  |proj g|=      0.075351
-  At iterate     7  f =       67.219  |proj g|=     0.0044781
-  At iterate     8  f =       67.219  |proj g|=    2.3416e-05
-  At iterate     9  f =       67.219  |proj g|=    7.2293e-09
+  At iterate     0  f=        34563  |proj g|=       7.0924
+  At iterate     1  f =       101.24  |proj g|=        2.7235
+  At iterate     2  f =       65.672  |proj g|=        3.2094
+  At iterate     3  f =       65.568  |proj g|=       0.23293
+  At iterate     4  f =       65.567  |proj g|=      0.039134
+  At iterate     5  f =       65.567  |proj g|=    0.00060125
+  At iterate     6  f =       65.567  |proj g|=    1.5226e-06
   
-  iterations 9
-  function evaluations 36
-  segments explored during Cauchy searches 12
-  BFGS updates skipped 1
-  active bounds at final generalized Cauchy point 3
-  norm of the final projected gradient 7.22934e-09
-  final function value 67.2189
+  iterations 6
+  function evaluations 21
+  segments explored during Cauchy searches 9
+  BFGS updates skipped 0
+  active bounds at final generalized Cauchy point 2
+  norm of the final projected gradient 1.52259e-06
+  final function value 65.5668
   
-  F = 67.2189
-  final  value 67.218947 
+  F = 65.5668
+  final  value 65.566831 
   converged
   
   optimisation start
@@ -481,36 +450,35 @@
   * trend model : ~1
   * covariance model : 
     - type :  matern5_2 
-    - nugget : 8.790474e-09 
+    - nugget : 8.228337e-09 
     - parameters lower bounds :  1e-10 1e-10 1e-10 
-    - parameters upper bounds :  4 2 1.956928 
-    - variance bounds :  0.08643418 8.790474 
-    - best initial criterion value(s) :  -68387422 
+    - parameters upper bounds :  4 2 1.932624 
+    - variance bounds :  0.08228337 8.286206 
+    - best initial criterion value(s) :  -528.642 
   
   N = 4, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=   6.8387e+07  |proj g|=       7.9015
-  At iterate     1  f =       102.74  |proj g|=        2.5653
-  At iterate     2  f =       67.651  |proj g|=       0.95715
-  ys=-1.251e+01  -gs= 1.987e+01, BFGS update SKIPPED
-  At iterate     3  f =       67.539  |proj g|=       0.92896
-  At iterate     4  f =       67.344  |proj g|=        3.3157
-  At iterate     5  f =       67.233  |proj g|=       0.80464
-  At iterate     6  f =       67.219  |proj g|=        0.1788
-  At iterate     7  f =       67.219  |proj g|=      0.012712
-  At iterate     8  f =       67.219  |proj g|=    0.00015892
-  At iterate     9  f =       67.219  |proj g|=    1.3908e-07
-  
-  iterations 9
-  function evaluations 35
-  segments explored during Cauchy searches 12
+  At iterate     0  f=       528.64  |proj g|=       7.7787
+  At iterate     1  f =       101.24  |proj g|=        2.7235
+  At iterate     2  f =       65.886  |proj g|=       0.86793
+  ys=-9.237e+00  -gs= 1.998e+01, BFGS update SKIPPED
+  At iterate     3  f =       65.794  |proj g|=       0.84319
+  At iterate     4  f =       65.621  |proj g|=        2.2222
+  At iterate     5  f =       65.571  |proj g|=       0.57306
+  At iterate     6  f =       65.567  |proj g|=      0.072861
+  At iterate     7  f =       65.567  |proj g|=     0.0028421
+  At iterate     8  f =       65.567  |proj g|=    1.3435e-05
+  
+  iterations 8
+  function evaluations 26
+  segments explored during Cauchy searches 11
   BFGS updates skipped 1
   active bounds at final generalized Cauchy point 3
-  norm of the final projected gradient 1.39078e-07
-  final function value 67.2189
+  norm of the final projected gradient 1.34347e-05
+  final function value 65.5668
   
-  F = 67.2189
-  final  value 67.218947 
+  F = 65.5668
+  final  value 65.566831 
   converged
   
   optimisation start
@@ -521,35 +489,31 @@
   * trend model : ~1
   * covariance model : 
     - type :  matern5_2 
-    - nugget : 8.790474e-09 
+    - nugget : 8.228337e-09 
     - parameters lower bounds :  1e-10 1e-10 1e-10 
-    - parameters upper bounds :  4 2 1.956928 
-    - variance bounds :  0.08643418 8.790474 
-    - best initial criterion value(s) :  -414919 
+    - parameters upper bounds :  4 2 1.932624 
+    - variance bounds :  0.08228337 8.286206 
+    - best initial criterion value(s) :  -1797955 
   
   N = 4, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=   4.1492e+05  |proj g|=        7.833
-  At iterate     1  f =       102.74  |proj g|=        2.5653
-  At iterate     2  f =       69.125  |proj g|=        1.2216
-  ys=-2.963e+01  -gs= 1.919e+01, BFGS update SKIPPED
-  At iterate     3  f =       68.352  |proj g|=        1.0964
-  At iterate     4  f =       67.237  |proj g|=       0.80882
-  At iterate     5  f =       67.219  |proj g|=      0.081086
-  At iterate     6  f =       67.219  |proj g|=     0.0065338
-  At iterate     7  f =       67.219  |proj g|=    3.6748e-05
-  At iterate     8  f =       67.219  |proj g|=    1.6538e-08
+  At iterate     0  f=    1.798e+06  |proj g|=       7.2676
+  At iterate     1  f =       101.24  |proj g|=        2.7235
+  At iterate     2  f =       65.604  |proj g|=        1.8245
+  At iterate     3  f =       65.567  |proj g|=      0.030037
+  At iterate     4  f =       65.567  |proj g|=     0.0030949
+  At iterate     5  f =       65.567  |proj g|=    6.0131e-06
   
-  iterations 8
-  function evaluations 35
-  segments explored during Cauchy searches 11
-  BFGS updates skipped 1
+  iterations 5
+  function evaluations 23
+  segments explored during Cauchy searches 8
+  BFGS updates skipped 0
   active bounds at final generalized Cauchy point 3
-  norm of the final projected gradient 1.65381e-08
-  final function value 67.2189
+  norm of the final projected gradient 6.01306e-06
+  final function value 65.5668
   
-  F = 67.2189
-  final  value 67.218947 
+  F = 65.5668
+  final  value 65.566831 
   converged
   
   optimisation start
@@ -564,51 +528,46 @@
     - 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) :  -305.0108 
+    - best initial criterion value(s) :  -302.9342 
   
   N = 3, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=       305.01  |proj g|=       9.1125
-  At iterate     1  f =       277.57  |proj g|=        1.8523
-  At iterate     2  f =       275.31  |proj g|=        1.8493
-  At iterate     3  f =        268.5  |proj g|=        1.8326
-  At iterate     4  f =       268.05  |proj g|=        1.8286
-  At iterate     5  f =       266.56  |proj g|=        2.1994
-  At iterate     6  f =       266.34  |proj g|=        3.8205
-  At iterate     7  f =       264.88  |proj g|=        2.8156
-  At iterate     8  f =       257.12  |proj g|=        6.3288
-  At iterate     9  f =       254.65  |proj g|=        13.434
-  At iterate    10  f =       252.83  |proj g|=        2.1257
-  At iterate    11  f =       252.78  |proj g|=       0.20005
-  At iterate    12  f =       252.78  |proj g|=       0.20231
-  At iterate    13  f =       252.78  |proj g|=       0.38054
-  At iterate    14  f =       252.78  |proj g|=        1.5562
-  At iterate    15  f =       252.78  |proj g|=        1.6869
-  At iterate    16  f =       252.78  |proj g|=        1.6875
-  At iterate    17  f =       252.77  |proj g|=        1.6885
-  At iterate    18  f =       252.75  |proj g|=        1.6902
-  At iterate    19  f =       252.69  |proj g|=        1.9737
-  At iterate    20  f =       252.52  |proj g|=        3.4767
-  At iterate    21  f =       252.04  |proj g|=        6.3276
-  At iterate    22  f =        250.4  |proj g|=        12.383
-  At iterate    23  f =       247.54  |proj g|=        18.956
-  At iterate    24  f =       247.16  |proj g|=        19.655
-  At iterate    25  f =       244.72  |proj g|=        8.8226
-  At iterate    26  f =       244.47  |proj g|=        11.751
-  At iterate    27  f =       244.43  |proj g|=        11.769
-  At iterate    28  f =       243.94  |proj g|=        9.2573
-  At iterate    29  f =        243.3  |proj g|=        1.7304
-  At iterate    30  f =       243.26  |proj g|=       0.15279
-  At iterate    31  f =       243.26  |proj g|=      0.091417
-  At iterate    32  f =       243.26  |proj g|=     0.0037624
-  At iterate    33  f =       243.26  |proj g|=    2.0888e-05
+  At iterate     0  f=       302.93  |proj g|=        3.955
+  At iterate     1  f =       261.33  |proj g|=        1.8018
+  At iterate     2  f =       261.06  |proj g|=         1.799
+  At iterate     3  f =       260.23  |proj g|=        2.6626
+  At iterate     4  f =       250.91  |proj g|=        6.1003
+  At iterate     5  f =        250.7  |proj g|=        8.8049
+  At iterate     6  f =       249.63  |proj g|=        1.7135
+  At iterate     7  f =       249.59  |proj g|=        1.6969
+  At iterate     8  f =       249.59  |proj g|=       0.22939
+  At iterate     9  f =       249.59  |proj g|=       0.22872
+  At iterate    10  f =       249.59  |proj g|=       0.22803
+  At iterate    11  f =       249.58  |proj g|=       0.30277
+  At iterate    12  f =       249.58  |proj g|=       0.47531
+  At iterate    13  f =       249.58  |proj g|=       0.75049
+  At iterate    14  f =       249.56  |proj g|=        1.1289
+  At iterate    15  f =       249.51  |proj g|=        1.6848
+  At iterate    16  f =       249.39  |proj g|=         1.671
+  At iterate    17  f =       249.07  |proj g|=        1.6329
+  At iterate    18  f =       248.29  |proj g|=        1.5369
+  At iterate    19  f =       247.12  |proj g|=        1.3673
+  At iterate    20  f =       245.34  |proj g|=        1.3084
+  At iterate    21  f =       243.99  |proj g|=        8.5687
+  At iterate    22  f =       243.78  |proj g|=        6.1403
+  At iterate    23  f =       243.59  |proj g|=        5.0329
+  At iterate    24  f =       243.29  |proj g|=        1.7288
+  At iterate    25  f =       243.27  |proj g|=       0.43533
+  At iterate    26  f =       243.26  |proj g|=        0.1444
+  At iterate    27  f =       243.26  |proj g|=      0.011043
+  At iterate    28  f =       243.26  |proj g|=     0.0016558
   
-  iterations 33
-  function evaluations 46
-  segments explored during Cauchy searches 35
+  iterations 28
+  function evaluations 36
+  segments explored during Cauchy searches 30
   BFGS updates skipped 0
   active bounds at final generalized Cauchy point 0
-  norm of the final projected gradient 2.08879e-05
+  norm of the final projected gradient 0.00165584
   final function value 243.264
   
   F = 243.264
@@ -627,29 +586,69 @@
     - 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) :  -956.2545 
+    - best initial criterion value(s) :  -311.5851 
   
   N = 3, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=       956.25  |proj g|=       27.344
-  At iterate     1  f =       323.74  |proj g|=       0.35271
-  At iterate     2  f =       318.95  |proj g|=       0.19917
-  At iterate     3  f =       318.23  |proj g|=      0.028273
-  At iterate     4  f =       318.22  |proj g|=      0.012809
-  At iterate     5  f =       318.22  |proj g|=    0.00050625
-  At iterate     6  f =       318.22  |proj g|=    8.6408e-06
-  At iterate     7  f =       318.22  |proj g|=    5.9556e-09
-  
-  iterations 7
-  function evaluations 14
-  segments explored during Cauchy searches 9
+  At iterate     0  f=       311.59  |proj g|=       1.8758
+  At iterate     1  f =       305.59  |proj g|=        2.5883
+  At iterate     2  f =       305.25  |proj g|=        9.9181
+  At iterate     3  f =       301.66  |proj g|=        5.7356
+  At iterate     4  f =       301.56  |proj g|=        5.1199
+  At iterate     5  f =       301.56  |proj g|=        5.0804
+  At iterate     6  f =       301.56  |proj g|=        5.0706
+  At iterate     7  f =       301.56  |proj g|=        5.0099
+  At iterate     8  f =       301.55  |proj g|=        4.9418
+  At iterate     9  f =       301.54  |proj g|=        4.8203
+  At iterate    10  f =       301.49  |proj g|=        4.6461
+  At iterate    11  f =       301.36  |proj g|=         4.385
+  At iterate    12  f =       300.98  |proj g|=        4.0117
+  At iterate    13  f =       299.86  |proj g|=        3.4541
+  At iterate    14  f =       296.44  |proj g|=        2.4659
+  At iterate    15  f =       289.88  |proj g|=        1.8686
+  At iterate    16  f =       284.66  |proj g|=        2.0711
+  At iterate    17  f =       266.15  |proj g|=        1.8508
+  At iterate    18  f =       263.16  |proj g|=        4.7589
+  At iterate    19  f =       261.04  |proj g|=        2.1254
+  At iterate    20  f =       260.54  |proj g|=        1.8331
+  At iterate    21  f =       260.18  |proj g|=        1.8291
+  At iterate    22  f =       257.75  |proj g|=        4.2683
+  At iterate    23  f =       257.52  |proj g|=        6.0114
+  At iterate    24  f =       255.67  |proj g|=        13.852
+  At iterate    25  f =       249.15  |proj g|=        8.9343
+  At iterate    26  f =       246.23  |proj g|=        1.6474
+  At iterate    27  f =        245.8  |proj g|=       0.54455
+  At iterate    28  f =       245.74  |proj g|=        1.7129
+  At iterate    29  f =       245.74  |proj g|=       0.23472
+  At iterate    30  f =       245.74  |proj g|=       0.23471
+  At iterate    31  f =       245.74  |proj g|=       0.33538
+  At iterate    32  f =       245.74  |proj g|=       0.86418
+  At iterate    33  f =       245.73  |proj g|=        1.7116
+  At iterate    34  f =       245.73  |proj g|=        1.7123
+  At iterate    35  f =       245.72  |proj g|=        1.7133
+  At iterate    36  f =       245.71  |proj g|=        1.7152
+  At iterate    37  f =       245.68  |proj g|=        1.7161
+  At iterate    38  f =       245.53  |proj g|=        1.7193
+  At iterate    39  f =       245.06  |proj g|=        1.7253
+  At iterate    40  f =       244.27  |proj g|=        1.5522
+  At iterate    41  f =       243.55  |proj g|=        1.5994
+  At iterate    42  f =       243.41  |proj g|=        1.3431
+  At iterate    43  f =       243.29  |proj g|=        1.1017
+  At iterate    44  f =       243.26  |proj g|=       0.95156
+  At iterate    45  f =       243.26  |proj g|=      0.038865
+  At iterate    46  f =       243.26  |proj g|=    0.00031672
+  At iterate    47  f =       243.26  |proj g|=    8.4887e-05
+  
+  iterations 47
+  function evaluations 59
+  segments explored during Cauchy searches 48
   BFGS updates skipped 0
-  active bounds at final generalized Cauchy point 2
-  norm of the final projected gradient 5.95561e-09
-  final function value 318.222
+  active bounds at final generalized Cauchy point 0
+  norm of the final projected gradient 8.48874e-05
+  final function value 243.264
   
-  F = 318.222
-  final  value 318.221782 
+  F = 243.264
+  final  value 243.264413 
   converged
   
   optimisation start
@@ -664,50 +663,44 @@
     - 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) :  -321.8543 
+    - best initial criterion value(s) :  -304.3456 
   
   N = 3, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=       321.85  |proj g|=       44.168
-  At iterate     1  f =       321.63  |proj g|=        44.165
-  At iterate     2  f =        320.6  |proj g|=        1.8488
-  At iterate     3  f =       319.17  |proj g|=        1.7996
-  At iterate     4  f =       314.51  |proj g|=        1.6306
-  At iterate     5  f =       284.58  |proj g|=        44.034
-  At iterate     6  f =       284.26  |proj g|=        44.038
-  At iterate     7  f =       279.02  |proj g|=        43.921
-  At iterate     8  f =       274.76  |proj g|=        43.792
-  At iterate     9  f =       258.18  |proj g|=        22.127
-  At iterate    10  f =       249.87  |proj g|=        15.976
-  At iterate    11  f =       248.63  |proj g|=        1.8033
-  At iterate    12  f =       247.65  |proj g|=        1.7071
-  At iterate    13  f =       247.63  |proj g|=        1.7032
-  At iterate    14  f =       247.63  |proj g|=       0.23957
-  At iterate    15  f =       247.62  |proj g|=       0.24003
-  At iterate    16  f =       247.62  |proj g|=       0.68299
-  At iterate    17  f =       247.62  |proj g|=        1.4624
-  At iterate    18  f =       247.62  |proj g|=        1.7035
-  At iterate    19  f =       247.61  |proj g|=        1.7036
-  At iterate    20  f =       247.59  |proj g|=        1.8288
-  At iterate    21  f =       247.54  |proj g|=        3.0331
-  At iterate    22  f =       247.42  |proj g|=        4.9337
-  At iterate    23  f =       247.37  |proj g|=        6.1753
-  At iterate    24  f =       247.03  |proj g|=        8.6513
-  At iterate    25  f =       245.15  |proj g|=        13.937
-  At iterate    26  f =       244.47  |proj g|=        12.337
-  At iterate    27  f =       243.29  |proj g|=       0.29943
-  At iterate    28  f =       243.27  |proj g|=        1.7279
-  At iterate    29  f =       243.27  |proj g|=        1.7288
-  At iterate    30  f =       243.26  |proj g|=        1.0777
-  At iterate    31  f =       243.26  |proj g|=    0.00073196
-  At iterate    32  f =       243.26  |proj g|=    0.00045142
-  
-  iterations 32
-  function evaluations 47
-  segments explored during Cauchy searches 34
+  At iterate     0  f=       304.35  |proj g|=       44.199
+  At iterate     1  f =       280.28  |proj g|=       0.61088
+  At iterate     2  f =       263.78  |proj g|=        39.083
+  At iterate     3  f =       260.48  |proj g|=        31.542
+  At iterate     4  f =       255.35  |proj g|=        13.014
+  At iterate     5  f =       248.76  |proj g|=        7.0777
+  At iterate     6  f =       247.58  |proj g|=        2.8211
+  At iterate     7  f =       247.51  |proj g|=       0.23768
+  At iterate     8  f =       247.51  |proj g|=       0.24078
+  At iterate     9  f =       247.51  |proj g|=       0.24089
+  At iterate    10  f =       247.51  |proj g|=       0.24119
+  At iterate    11  f =       247.51  |proj g|=       0.27575
+  At iterate    12  f =        247.5  |proj g|=       0.58297
+  At iterate    13  f =       247.48  |proj g|=        1.1998
+  At iterate    14  f =       247.47  |proj g|=       0.76271
+  At iterate    15  f =       247.42  |proj g|=        1.8514
+  At iterate    16  f =       247.22  |proj g|=        3.9226
+  At iterate    17  f =       246.49  |proj g|=        7.6255
+  At iterate    18  f =       245.43  |proj g|=         9.856
+  At iterate    19  f =       244.44  |proj g|=        9.7419
+  At iterate    20  f =       244.41  |proj g|=        10.157
+  At iterate    21  f =       243.64  |proj g|=        6.3585
+  At iterate    22  f =       243.41  |proj g|=        1.7319
+  At iterate    23  f =       243.27  |proj g|=       0.31761
+  At iterate    24  f =       243.26  |proj g|=       0.13483
+  At iterate    25  f =       243.26  |proj g|=      0.011047
+  At iterate    26  f =       243.26  |proj g|=     0.0056002
+  
+  iterations 26
+  function evaluations 37
+  segments explored during Cauchy searches 28
   BFGS updates skipped 0
   active bounds at final generalized Cauchy point 0
-  norm of the final projected gradient 0.000451416
+  norm of the final projected gradient 0.00560021
   final function value 243.264
   
   F = 243.264
@@ -726,76 +719,28 @@
     - 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) :  -299.9316 
+    - best initial criterion value(s) :  -970.857 
   
   N = 3, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=       299.93  |proj g|=       2.2016
-  At iterate     1  f =       299.18  |proj g|=         2.569
-  At iterate     2  f =       297.51  |proj g|=        4.5616
-  At iterate     3  f =       297.49  |proj g|=        4.8788
-  At iterate     4  f =       297.49  |proj g|=        4.8359
-  At iterate     5  f =       297.49  |proj g|=        4.8251
-  At iterate     6  f =       297.48  |proj g|=        4.7649
-  At iterate     7  f =       297.48  |proj g|=        4.6947
-  At iterate     8  f =       297.46  |proj g|=        4.5679
-  At iterate     9  f =        297.4  |proj g|=         4.379
-  At iterate    10  f =       297.26  |proj g|=        4.0891
-  At iterate    11  f =        296.9  |proj g|=        3.6698
-  At iterate    12  f =        295.9  |proj g|=        3.0644
-  At iterate    13  f =       292.92  |proj g|=        2.0535
-  At iterate    14  f =       287.19  |proj g|=        1.8625
-  At iterate    15  f =        281.4  |proj g|=        1.8579
-  At iterate    16  f =       274.89  |proj g|=        6.4996
-  At iterate    17  f =       270.15  |proj g|=        6.8062
-  At iterate    18  f =       266.42  |proj g|=        1.8325
-  At iterate    19  f =       266.16  |proj g|=          1.83
-  At iterate    20  f =       264.78  |proj g|=        2.8291
-  At iterate    21  f =        264.4  |proj g|=        4.9365
-  At iterate    22  f =       261.36  |proj g|=        1.7854
-  At iterate    23  f =       256.73  |proj g|=        8.6175
-  At iterate    24  f =       255.17  |proj g|=        15.209
-  At iterate    25  f =       251.08  |proj g|=        1.7818
-  At iterate    26  f =       251.02  |proj g|=        1.6926
-  At iterate    27  f =       251.01  |proj g|=       0.21852
-  At iterate    28  f =       251.01  |proj g|=        0.2183
-  At iterate    29  f =       251.01  |proj g|=       0.21778
-  At iterate    30  f =       251.01  |proj g|=       0.21708
-  At iterate    31  f =       251.01  |proj g|=       0.21588
-  At iterate    32  f =       251.01  |proj g|=       0.29682
-  At iterate    33  f =       251.01  |proj g|=       0.50479
-  At iterate    34  f =          251  |proj g|=       0.86275
-  At iterate    35  f =       250.98  |proj g|=        1.5134
-  At iterate    36  f =       250.93  |proj g|=        1.7545
-  At iterate    37  f =        250.8  |proj g|=        1.7792
-  At iterate    38  f =       250.58  |proj g|=        1.8237
-  At iterate    39  f =       250.17  |proj g|=        1.8626
-  At iterate    40  f =       249.99  |proj g|=        1.8722
-  At iterate    41  f =       249.78  |proj g|=        1.8698
-  At iterate    42  f =       249.06  |proj g|=        1.8475
-  At iterate    43  f =       247.75  |proj g|=        1.7659
-  At iterate    44  f =       247.13  |proj g|=        1.7661
-  At iterate    45  f =        245.3  |proj g|=        1.7583
-  At iterate    46  f =       244.23  |proj g|=        4.1017
-  At iterate    47  f =       243.62  |proj g|=        1.3329
-  At iterate    48  f =       243.54  |proj g|=        1.7332
-  At iterate    49  f =       243.29  |proj g|=       0.58114
-  At iterate    50  f =       243.27  |proj g|=       0.31249
-  At iterate    51  f =       243.26  |proj g|=       0.15259
-  At iterate    52  f =       243.26  |proj g|=      0.024765
-  At iterate    53  f =       243.26  |proj g|=    0.00071455
-  At iterate    54  f =       243.26  |proj g|=    6.6735e-06
-  
-  iterations 54
-  function evaluations 65
-  segments explored during Cauchy searches 55
+  At iterate     0  f=       970.86  |proj g|=       28.008
+  At iterate     1  f =       323.89  |proj g|=       0.35397
+  At iterate     2  f =       319.28  |proj g|=         0.228
+  At iterate     3  f =       318.23  |proj g|=      0.016718
+  At iterate     4  f =       318.22  |proj g|=     0.0092781
+  At iterate     5  f =       318.22  |proj g|=    0.00021375
+  At iterate     6  f =       318.22  |proj g|=    2.6568e-06
+  
+  iterations 6
+  function evaluations 16
+  segments explored during Cauchy searches 8
   BFGS updates skipped 0
-  active bounds at final generalized Cauchy point 0
-  norm of the final projected gradient 6.67354e-06
-  final function value 243.264
+  active bounds at final generalized Cauchy point 2
+  norm of the final projected gradient 2.65675e-06
+  final function value 318.222
   
-  F = 243.264
-  final  value 243.264413 
+  F = 318.222
+  final  value 318.221782 
   converged
   
   optimisation start
@@ -806,35 +751,74 @@
   * trend model : ~1
   * covariance model : 
     - type :  matern5_2 
-    - nugget : 1.19474e-08 
+    - nugget : 8.106529e-09 
     - parameters lower bounds :  1e-10 1e-10 1e-10 
-    - parameters upper bounds :  4 2 1.743519 
-    - variance bounds :  0.1148136 11.9474 
-    - best initial criterion value(s) :  -410.0676 
+    - parameters upper bounds :  4 2 1.948717 
+    - variance bounds :  0.07799759 8.106529 
+    - best initial criterion value(s) :  -74.66536 
   
   N = 4, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=       410.07  |proj g|=       10.209
-  At iterate     1  f =       110.41  |proj g|=        1.8874
-  At iterate     2  f =       76.399  |proj g|=        1.5782
-  ys=-2.735e+01  -gs= 1.935e+01, BFGS update SKIPPED
-  At iterate     3  f =       75.909  |proj g|=        1.4653
-  At iterate     4  f =        74.93  |proj g|=        1.1236
-  At iterate     5  f =       74.891  |proj g|=       0.12649
-  At iterate     6  f =        74.89  |proj g|=      0.015629
-  At iterate     7  f =        74.89  |proj g|=    0.00018762
-  At iterate     8  f =        74.89  |proj g|=    2.7418e-07
-  
-  iterations 8
-  function evaluations 26
-  segments explored during Cauchy searches 11
-  BFGS updates skipped 1
+  At iterate     0  f=       74.665  |proj g|=       6.9176
+  At iterate     1  f =       71.861  |proj g|=        2.9718
+  At iterate     2  f =       66.071  |proj g|=        1.8958
+  At iterate     3  f =       65.302  |proj g|=        3.0335
+  At iterate     4  f =       64.838  |proj g|=        2.1355
+  At iterate     5  f =       64.056  |proj g|=        0.9358
+  At iterate     6  f =       64.054  |proj g|=       0.91159
+  At iterate     7  f =       64.045  |proj g|=       0.88401
+  At iterate     8  f =       64.044  |proj g|=        1.1927
+  At iterate     9  f =       64.044  |proj g|=       0.84405
+  At iterate    10  f =       64.044  |proj g|=       0.84553
+  At iterate    11  f =       64.044  |proj g|=       0.84896
+  At iterate    12  f =       64.044  |proj g|=       0.85394
+  At iterate    13  f =       64.043  |proj g|=       0.86264
+  At iterate    14  f =       64.043  |proj g|=       0.87697
+  At iterate    15  f =       64.042  |proj g|=       0.90204
+  At iterate    16  f =       64.038  |proj g|=       0.94783
+  At iterate    17  f =       64.027  |proj g|=         1.036
+  At iterate    18  f =       63.995  |proj g|=        1.1387
+  At iterate    19  f =       63.666  |proj g|=        1.9397
+  At iterate    20  f =       63.664  |proj g|=        1.9394
+  At iterate    21  f =       63.633  |proj g|=        1.6759
+  At iterate    22  f =       63.629  |proj g|=        1.6991
+  At iterate    23  f =       63.572  |proj g|=        1.8359
+  At iterate    24  f =       63.466  |proj g|=        1.8576
+  At iterate    25  f =       63.286  |proj g|=        1.3435
+  At iterate    26  f =       63.163  |proj g|=        1.5399
+  At iterate    27  f =       63.147  |proj g|=        1.9444
+  At iterate    28  f =       63.127  |proj g|=       0.59391
+  At iterate    29  f =       63.119  |proj g|=       0.42987
+  At iterate    30  f =       63.113  |proj g|=       0.46083
+  At iterate    31  f =       63.091  |proj g|=        1.9431
+  At iterate    32  f =       63.091  |proj g|=        1.9431
+  At iterate    33  f =       63.091  |proj g|=       0.53189
+  At iterate    34  f =       63.091  |proj g|=       0.53497
+  At iterate    35  f =       63.091  |proj g|=        0.5399
+  At iterate    36  f =        63.09  |proj g|=       0.56305
+  At iterate    37  f =       62.979  |proj g|=        1.9382
+  At iterate    38  f =       62.969  |proj g|=        1.9375
+  At iterate    39  f =       62.916  |proj g|=        1.9365
+  At iterate    40  f =       62.664  |proj g|=        1.8336
+  At iterate    41  f =       62.278  |proj g|=        2.0246
+  At iterate    42  f =       61.275  |proj g|=         2.792
+  At iterate    43  f =        61.01  |proj g|=      0.031722
+  At iterate    44  f =       60.851  |proj g|=        1.5831
+  At iterate    45  f =       60.771  |proj g|=        1.9289
+  At iterate    46  f =       60.769  |proj g|=       0.48035
+  At iterate    47  f =       60.769  |proj g|=    0.00054534
+  At iterate    48  f =       60.769  |proj g|=    0.00096564
+  
+  iterations 48
+  function evaluations 71
+  segments explored during Cauchy searches 51
+  BFGS updates skipped 0
   active bounds at final generalized Cauchy point 2
-  norm of the final projected gradient 2.74177e-07
-  final function value 74.8901
+  norm of the final projected gradient 0.000965637
+  final function value 60.7691
   
-  F = 74.8901
-  final  value 74.890072 
+  F = 60.7691
+  final  value 60.769065 
   converged
   
   optimisation start
@@ -845,35 +829,74 @@
   * trend model : ~1
   * covariance model : 
     - type :  matern5_2 
-    - nugget : 1.19474e-08 
+    - nugget : 8.106529e-09 
     - parameters lower bounds :  1e-10 1e-10 1e-10 
-    - parameters upper bounds :  4 2 1.743519 
-    - variance bounds :  0.1148136 11.9474 
-    - best initial criterion value(s) :  -410.0676 
+    - parameters upper bounds :  4 2 1.948717 
+    - variance bounds :  0.07799759 8.106529 
+    - best initial criterion value(s) :  -74.66536 
   
   N = 4, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=       410.07  |proj g|=       10.209
-  At iterate     1  f =       110.41  |proj g|=        1.8874
-  At iterate     2  f =       76.399  |proj g|=        1.5782
-  ys=-2.735e+01  -gs= 1.935e+01, BFGS update SKIPPED
-  At iterate     3  f =       75.909  |proj g|=        1.4653
-  At iterate     4  f =        74.93  |proj g|=        1.1236
-  At iterate     5  f =       74.891  |proj g|=       0.12649
-  At iterate     6  f =        74.89  |proj g|=      0.015629
-  At iterate     7  f =        74.89  |proj g|=    0.00018762
-  At iterate     8  f =        74.89  |proj g|=    2.7418e-07
-  
-  iterations 8
-  function evaluations 26
-  segments explored during Cauchy searches 11
-  BFGS updates skipped 1
+  At iterate     0  f=       74.665  |proj g|=       6.9176
+  At iterate     1  f =       71.861  |proj g|=        2.9718
+  At iterate     2  f =       66.071  |proj g|=        1.8958
+  At iterate     3  f =       65.302  |proj g|=        3.0335
+  At iterate     4  f =       64.838  |proj g|=        2.1355
+  At iterate     5  f =       64.056  |proj g|=        0.9358
+  At iterate     6  f =       64.054  |proj g|=       0.91159
+  At iterate     7  f =       64.045  |proj g|=       0.88401
+  At iterate     8  f =       64.044  |proj g|=        1.1927
+  At iterate     9  f =       64.044  |proj g|=       0.84405
+  At iterate    10  f =       64.044  |proj g|=       0.84553
+  At iterate    11  f =       64.044  |proj g|=       0.84896
+  At iterate    12  f =       64.044  |proj g|=       0.85394
+  At iterate    13  f =       64.043  |proj g|=       0.86264
+  At iterate    14  f =       64.043  |proj g|=       0.87697
+  At iterate    15  f =       64.042  |proj g|=       0.90204
+  At iterate    16  f =       64.038  |proj g|=       0.94783
+  At iterate    17  f =       64.027  |proj g|=         1.036
+  At iterate    18  f =       63.995  |proj g|=        1.1387
+  At iterate    19  f =       63.666  |proj g|=        1.9397
+  At iterate    20  f =       63.664  |proj g|=        1.9394
+  At iterate    21  f =       63.633  |proj g|=        1.6759
+  At iterate    22  f =       63.629  |proj g|=        1.6991
+  At iterate    23  f =       63.572  |proj g|=        1.8359
+  At iterate    24  f =       63.466  |proj g|=        1.8576
+  At iterate    25  f =       63.286  |proj g|=        1.3435
+  At iterate    26  f =       63.163  |proj g|=        1.5399
+  At iterate    27  f =       63.147  |proj g|=        1.9444
+  At iterate    28  f =       63.127  |proj g|=       0.59391
+  At iterate    29  f =       63.119  |proj g|=       0.42987
+  At iterate    30  f =       63.113  |proj g|=       0.46083
+  At iterate    31  f =       63.091  |proj g|=        1.9431
+  At iterate    32  f =       63.091  |proj g|=        1.9431
+  At iterate    33  f =       63.091  |proj g|=       0.53189
+  At iterate    34  f =       63.091  |proj g|=       0.53497
+  At iterate    35  f =       63.091  |proj g|=        0.5399
+  At iterate    36  f =        63.09  |proj g|=       0.56305
+  At iterate    37  f =       62.979  |proj g|=        1.9382
+  At iterate    38  f =       62.969  |proj g|=        1.9375
+  At iterate    39  f =       62.916  |proj g|=        1.9365
+  At iterate    40  f =       62.664  |proj g|=        1.8336
+  At iterate    41  f =       62.278  |proj g|=        2.0246
+  At iterate    42  f =       61.275  |proj g|=         2.792
+  At iterate    43  f =        61.01  |proj g|=      0.031722
+  At iterate    44  f =       60.851  |proj g|=        1.5831
+  At iterate    45  f =       60.771  |proj g|=        1.9289
+  At iterate    46  f =       60.769  |proj g|=       0.48035
+  At iterate    47  f =       60.769  |proj g|=    0.00054534
+  At iterate    48  f =       60.769  |proj g|=    0.00096564
+  
+  iterations 48
+  function evaluations 71
+  segments explored during Cauchy searches 51
+  BFGS updates skipped 0
   active bounds at final generalized Cauchy point 2
-  norm of the final projected gradient 2.74177e-07
-  final function value 74.8901
+  norm of the final projected gradient 0.000965637
+  final function value 60.7691
   
-  F = 74.8901
-  final  value 74.890072 
+  F = 60.7691
+  final  value 60.769065 
   converged
   
   optimisation start
@@ -884,33 +907,60 @@
   * trend model : ~1
   * covariance model : 
     - type :  matern5_2 
-    - nugget : 1.19474e-08 
+    - nugget : 8.106529e-09 
     - parameters lower bounds :  1e-10 1e-10 1e-10 
-    - parameters upper bounds :  4 2 1.743519 
-    - variance bounds :  0.1148136 11.9474 
-    - best initial criterion value(s) :  -107.4668 
+    - parameters upper bounds :  4 2 1.948717 
+    - variance bounds :  0.07799759 8.106529 
+    - best initial criterion value(s) :  -70.64129 
   
   N = 4, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=       107.47  |proj g|=       10.504
-  At iterate     1  f =       92.599  |proj g|=        3.0145
-  At iterate     2  f =       83.921  |proj g|=        3.0344
-  ys=-2.592e+00  -gs= 6.565e+00, BFGS update SKIPPED
-  At iterate     3  f =       74.897  |proj g|=        0.4809
-  At iterate     4  f =        74.89  |proj g|=      0.036489
-  At iterate     5  f =        74.89  |proj g|=     0.0017503
-  At iterate     6  f =        74.89  |proj g|=    6.0067e-06
+  At iterate     0  f=       70.641  |proj g|=       7.2429
+  At iterate     1  f =       65.083  |proj g|=        1.7189
+  At iterate     2  f =       63.114  |proj g|=        1.5915
+  At iterate     3  f =       62.074  |proj g|=        1.9344
+  At iterate     4  f =       61.953  |proj g|=        2.0673
+  At iterate     5  f =       61.929  |proj g|=        2.1844
+  At iterate     6  f =       61.927  |proj g|=        2.1835
+  At iterate     7  f =       61.926  |proj g|=        2.1831
+  At iterate     8  f =       61.921  |proj g|=          2.18
+  At iterate     9  f =       61.906  |proj g|=        2.1707
+  At iterate    10  f =       61.869  |proj g|=        2.1442
+  At iterate    11  f =       61.776  |proj g|=        2.0752
+  At iterate    12  f =       61.561  |proj g|=        1.9092
+  At iterate    13  f =       61.141  |proj g|=        3.3678
+  At iterate    14  f =       60.613  |proj g|=        5.7445
+  At iterate    15  f =       60.374  |proj g|=        3.9331
+  At iterate    16  f =       60.362  |proj g|=        3.1702
+  At iterate    17  f =       60.361  |proj g|=        3.3461
+  At iterate    18  f =       60.359  |proj g|=        3.3939
+  At iterate    19  f =       60.332  |proj g|=        3.5942
+  At iterate    20  f =       60.294  |proj g|=        3.3683
+  At iterate    21  f =       60.229  |proj g|=        2.3758
+  At iterate    22  f =       60.226  |proj g|=        2.3732
+  At iterate    23  f =       60.185  |proj g|=         1.153
+  At iterate    24  f =       60.165  |proj g|=       0.90159
+  At iterate    25  f =       60.159  |proj g|=       0.89917
+  At iterate    26  f =       60.131  |proj g|=        1.9326
+  At iterate    27  f =       59.978  |proj g|=        1.9323
+  At iterate    28  f =       59.971  |proj g|=        1.9325
+  At iterate    29  f =       59.928  |proj g|=        1.9324
+  At iterate    30  f =       59.914  |proj g|=        1.2461
+  At iterate    31  f =       59.914  |proj g|=      0.016343
+  At iterate    32  f =       59.914  |proj g|=     0.0078453
+  At iterate    33  f =       59.914  |proj g|=     0.0077843
+  At iterate    34  f =       59.914  |proj g|=       0.01415
   
-  iterations 6
-  function evaluations 13
-  segments explored during Cauchy searches 9
-  BFGS updates skipped 1
-  active bounds at final generalized Cauchy point 1
-  norm of the final projected gradient 6.00671e-06
-  final function value 74.8901
+  iterations 34
+  function evaluations 46
+  segments explored during Cauchy searches 37
+  BFGS updates skipped 0
+  active bounds at final generalized Cauchy point 0
+  norm of the final projected gradient 0.0141502
+  final function value 59.9142
   
-  F = 74.8901
-  final  value 74.890072 
+  F = 59.9142
+  final  value 59.914214 
   converged
   
   optimisation start
@@ -921,33 +971,60 @@
   * trend model : ~1
   * covariance model : 
     - type :  matern5_2 
-    - nugget : 1.19474e-08 
+    - nugget : 8.106529e-09 
     - parameters lower bounds :  1e-10 1e-10 1e-10 
-    - parameters upper bounds :  4 2 1.743519 
-    - variance bounds :  0.1148136 11.9474 
-    - best initial criterion value(s) :  -107.4668 
+    - parameters upper bounds :  4 2 1.948717 
+    - variance bounds :  0.07799759 8.106529 
+    - best initial criterion value(s) :  -70.64129 
   
   N = 4, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=       107.47  |proj g|=       10.504
-  At iterate     1  f =       92.599  |proj g|=        3.0145
-  At iterate     2  f =       83.921  |proj g|=        3.0344
-  ys=-2.592e+00  -gs= 6.565e+00, BFGS update SKIPPED
-  At iterate     3  f =       74.897  |proj g|=        0.4809
-  At iterate     4  f =        74.89  |proj g|=      0.036489
-  At iterate     5  f =        74.89  |proj g|=     0.0017503
-  At iterate     6  f =        74.89  |proj g|=    6.0067e-06
+  At iterate     0  f=       70.641  |proj g|=       7.2429
+  At iterate     1  f =       65.083  |proj g|=        1.7189
+  At iterate     2  f =       63.114  |proj g|=        1.5915
+  At iterate     3  f =       62.074  |proj g|=        1.9344
+  At iterate     4  f =       61.953  |proj g|=        2.0673
+  At iterate     5  f =       61.929  |proj g|=        2.1844
+  At iterate     6  f =       61.927  |proj g|=        2.1835
+  At iterate     7  f =       61.926  |proj g|=        2.1831
+  At iterate     8  f =       61.921  |proj g|=          2.18
+  At iterate     9  f =       61.906  |proj g|=        2.1707
+  At iterate    10  f =       61.869  |proj g|=        2.1442
+  At iterate    11  f =       61.776  |proj g|=        2.0752
+  At iterate    12  f =       61.561  |proj g|=        1.9092
+  At iterate    13  f =       61.141  |proj g|=        3.3678
+  At iterate    14  f =       60.613  |proj g|=        5.7445
+  At iterate    15  f =       60.374  |proj g|=        3.9331
+  At iterate    16  f =       60.362  |proj g|=        3.1702
+  At iterate    17  f =       60.361  |proj g|=        3.3461
+  At iterate    18  f =       60.359  |proj g|=        3.3939
+  At iterate    19  f =       60.332  |proj g|=        3.5942
+  At iterate    20  f =       60.294  |proj g|=        3.3683
+  At iterate    21  f =       60.229  |proj g|=        2.3758
+  At iterate    22  f =       60.226  |proj g|=        2.3732
+  At iterate    23  f =       60.185  |proj g|=         1.153
+  At iterate    24  f =       60.165  |proj g|=       0.90159
+  At iterate    25  f =       60.159  |proj g|=       0.89917
+  At iterate    26  f =       60.131  |proj g|=        1.9326
+  At iterate    27  f =       59.978  |proj g|=        1.9323
+  At iterate    28  f =       59.971  |proj g|=        1.9325
+  At iterate    29  f =       59.928  |proj g|=        1.9324
+  At iterate    30  f =       59.914  |proj g|=        1.2461
+  At iterate    31  f =       59.914  |proj g|=      0.016343
+  At iterate    32  f =       59.914  |proj g|=     0.0078453
+  At iterate    33  f =       59.914  |proj g|=     0.0077843
+  At iterate    34  f =       59.914  |proj g|=       0.01415
   
-  iterations 6
-  function evaluations 13
-  segments explored during Cauchy searches 9
-  BFGS updates skipped 1
-  active bounds at final generalized Cauchy point 1
-  norm of the final projected gradient 6.00671e-06
-  final function value 74.8901
+  iterations 34
+  function evaluations 46
+  segments explored during Cauchy searches 37
+  BFGS updates skipped 0
+  active bounds at final generalized Cauchy point 0
+  norm of the final projected gradient 0.0141502
+  final function value 59.9142
   
-  F = 74.8901
-  final  value 74.890072 
+  F = 59.9142
+  final  value 59.914214 
   converged
   
   optimisation start
@@ -958,34 +1035,34 @@
   * trend model : ~1
   * covariance model : 
     - type :  matern5_2 
-    - nugget : 1.19474e-08 
+    - nugget : 8.106529e-09 
     - parameters lower bounds :  1e-10 1e-10 1e-10 
-    - parameters upper bounds :  4 2 1.743519 
-    - variance bounds :  0.1148136 11.9474 
-    - best initial criterion value(s) :  -4276.443 
+    - parameters upper bounds :  4 2 1.948717 
+    - variance bounds :  0.07799759 8.106529 
+    - best initial criterion value(s) :  -163.7642 
   
   N = 4, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=       4276.4  |proj g|=       11.195
-  At iterate     1  f =       110.41  |proj g|=        1.8874
-  At iterate     2  f =       76.463  |proj g|=        1.5923
-  ys=-2.778e+01  -gs= 1.933e+01, BFGS update SKIPPED
-  At iterate     3  f =       75.128  |proj g|=        1.2337
-  At iterate     4  f =       74.892  |proj g|=       0.25972
-  At iterate     5  f =        74.89  |proj g|=      0.088313
-  At iterate     6  f =        74.89  |proj g|=     0.0021929
-  At iterate     7  f =        74.89  |proj g|=    1.7959e-05
-  
-  iterations 7
-  function evaluations 24
-  segments explored during Cauchy searches 10
-  BFGS updates skipped 1
+  At iterate     0  f=       163.76  |proj g|=       7.3684
+  At iterate     1  f =       100.71  |proj g|=        2.7817
+  At iterate     2  f =       65.777  |proj g|=        7.4616
+  At iterate     3  f =        65.27  |proj g|=       0.78181
+  At iterate     4  f =       65.204  |proj g|=       0.73938
+  At iterate     5  f =       65.194  |proj g|=       0.15983
+  At iterate     6  f =       65.194  |proj g|=     0.0092408
+  At iterate     7  f =       65.194  |proj g|=    9.2763e-05
+  At iterate     8  f =       65.194  |proj g|=     5.452e-08
+  
+  iterations 8
+  function evaluations 21
+  segments explored during Cauchy searches 11
+  BFGS updates skipped 0
   active bounds at final generalized Cauchy point 3
-  norm of the final projected gradient 1.79586e-05
-  final function value 74.8901
+  norm of the final projected gradient 5.45198e-08
+  final function value 65.194
   
-  F = 74.8901
-  final  value 74.890072 
+  F = 65.194
+  final  value 65.193977 
   converged
   
   optimisation start
@@ -996,32 +1073,35 @@
   * trend model : ~1
   * covariance model : 
     - type :  matern5_2 
-    - nugget : 1.19474e-08 
+    - nugget : 8.106529e-09 
     - parameters lower bounds :  1e-10 1e-10 1e-10 
-    - parameters upper bounds :  4 2 1.743519 
-    - variance bounds :  0.1148136 11.9474 
-    - best initial criterion value(s) :  -76.0434 
+    - parameters upper bounds :  4 2 1.948717 
+    - variance bounds :  0.07799759 8.106529 
+    - best initial criterion value(s) :  -238.2896 
   
   N = 4, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=       76.043  |proj g|=       3.6516
-  At iterate     1  f =        75.65  |proj g|=       0.57653
-  At iterate     2  f =       74.941  |proj g|=        1.4824
-  At iterate     3  f =        74.89  |proj g|=      0.047936
-  At iterate     4  f =        74.89  |proj g|=     0.0056589
-  At iterate     5  f =        74.89  |proj g|=     2.525e-05
-  At iterate     6  f =        74.89  |proj g|=    1.3375e-08
+  At iterate     0  f=       238.29  |proj g|=       7.4164
+  At iterate     1  f =       100.71  |proj g|=        2.7817
+  At iterate     2  f =       67.102  |proj g|=        1.1286
+  ys=-2.964e+01  -gs= 1.919e+01, BFGS update SKIPPED
+  At iterate     3  f =       66.341  |proj g|=        1.0149
+  At iterate     4  f =       65.212  |proj g|=        0.7471
+  At iterate     5  f =       65.194  |proj g|=      0.085826
+  At iterate     6  f =       65.194  |proj g|=     0.0068021
+  At iterate     7  f =       65.194  |proj g|=    3.7338e-05
+  At iterate     8  f =       65.194  |proj g|=    1.6133e-08
   
-  iterations 6
-  function evaluations 9
-  segments explored during Cauchy searches 8
-  BFGS updates skipped 0
-  active bounds at final generalized Cauchy point 1
-  norm of the final projected gradient 1.33751e-08
-  final function value 74.8901
+  iterations 8
+  function evaluations 23
+  segments explored during Cauchy searches 11
+  BFGS updates skipped 1
+  active bounds at final generalized Cauchy point 3
+  norm of the final projected gradient 1.61328e-08
+  final function value 65.194
   
-  F = 74.8901
-  final  value 74.890072 
+  F = 65.194
+  final  value 65.193977 
   converged
   
   optimisation start
@@ -1036,27 +1116,64 @@
     - 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) :  -3420.041 
+    - best initial criterion value(s) :  -320.8523 
   
   N = 3, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=         3420  |proj g|=       59.282
-  At iterate     1  f =       343.96  |proj g|=       0.30604
-  At iterate     2  f =       318.22  |proj g|=      0.011313
-  At iterate     3  f =       318.22  |proj g|=    0.00053747
-  At iterate     4  f =       318.22  |proj g|=    8.4416e-06
-  At iterate     5  f =       318.22  |proj g|=    6.1773e-09
-  
-  iterations 5
-  function evaluations 19
-  segments explored during Cauchy searches 7
+  At iterate     0  f=       320.85  |proj g|=       1.8789
+  At iterate     1  f =       270.24  |proj g|=        1.8454
+  At iterate     2  f =        267.9  |proj g|=        2.6805
+  At iterate     3  f =        267.9  |proj g|=        2.7002
+  At iterate     4  f =        267.9  |proj g|=        2.7178
+  At iterate     5  f =        267.9  |proj g|=        2.7549
+  At iterate     6  f =        267.9  |proj g|=        2.8081
+  At iterate     7  f =       267.89  |proj g|=        2.8935
+  At iterate     8  f =       267.87  |proj g|=        3.0195
+  At iterate     9  f =       267.83  |proj g|=        3.1946
+  At iterate    10  f =       267.72  |proj g|=        3.3991
+  At iterate    11  f =       267.43  |proj g|=        3.5152
+  At iterate    12  f =       264.54  |proj g|=        1.8137
+  At iterate    13  f =       264.34  |proj g|=        2.0861
+  At iterate    14  f =       263.37  |proj g|=         2.698
+  At iterate    15  f =        257.5  |proj g|=        9.1746
+  At iterate    16  f =       254.66  |proj g|=        16.168
+  At iterate    17  f =       251.15  |proj g|=        1.6962
+  At iterate    18  f =        251.1  |proj g|=       0.53363
+  At iterate    19  f =        251.1  |proj g|=       0.21773
+  At iterate    20  f =        251.1  |proj g|=       0.21762
+  At iterate    21  f =        251.1  |proj g|=       0.21674
+  At iterate    22  f =        251.1  |proj g|=       0.21587
+  At iterate    23  f =        251.1  |proj g|=       0.21465
+  At iterate    24  f =       251.09  |proj g|=       0.21337
+  At iterate    25  f =       251.09  |proj g|=       0.21234
+  At iterate    26  f =       251.08  |proj g|=       0.22275
+  At iterate    27  f =       251.05  |proj g|=        1.0578
+  At iterate    28  f =          251  |proj g|=        1.9039
+  At iterate    29  f =        250.9  |proj g|=         7.179
+  At iterate    30  f =       250.66  |proj g|=        6.2783
+  At iterate    31  f =       249.92  |proj g|=        4.2085
+  At iterate    32  f =       248.35  |proj g|=       0.43384
+  At iterate    33  f =       247.43  |proj g|=        1.3375
+  At iterate    34  f =       246.24  |proj g|=        1.3017
+  At iterate    35  f =       243.96  |proj g|=        1.3415
+  At iterate    36  f =       243.54  |proj g|=        1.7361
+  At iterate    37  f =        243.3  |proj g|=        1.4007
+  At iterate    38  f =       243.28  |proj g|=        1.3917
+  At iterate    39  f =       243.27  |proj g|=       0.32313
+  At iterate    40  f =       243.26  |proj g|=       0.15256
+  At iterate    41  f =       243.26  |proj g|=     0.0099277
+  At iterate    42  f =       243.26  |proj g|=    5.4121e-05
+  
+  iterations 42
+  function evaluations 62
+  segments explored during Cauchy searches 43
   BFGS updates skipped 0
-  active bounds at final generalized Cauchy point 2
-  norm of the final projected gradient 6.17726e-09
-  final function value 318.222
+  active bounds at final generalized Cauchy point 0
+  norm of the final projected gradient 5.41208e-05
+  final function value 243.264
   
-  F = 318.222
-  final  value 318.221782 
+  F = 243.264
+  final  value 243.264413 
   converged
   
   optimisation start
@@ -1071,29 +1188,63 @@
     - 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) :  -574.2325 
+    - best initial criterion value(s) :  -325.3765 
   
   N = 3, M = 5 machine precision = 2.22045e-16
   At X0, 0 variables are exactly at the bounds
-  At iterate     0  f=       574.23  |proj g|=       8.5166
-  At iterate     1  f =       322.79  |proj g|=       0.34231
-  At iterate     2  f =       318.98  |proj g|=       0.20179
-  At iterate     3  f =       318.24  |proj g|=      0.033808
-  At iterate     4  f =       318.22  |proj g|=      0.015877
-  At iterate     5  f =       318.22  |proj g|=    0.00075377
-  At iterate     6  f =       318.22  |proj g|=    1.5872e-05
-  At iterate     7  f =       318.22  |proj g|=    1.6296e-08
-  
-  iterations 7
-  function evaluations 15
-  segments explored during Cauchy searches 9
+  At iterate     0  f=       325.38  |proj g|=        3.618
+  At iterate     1  f =       320.52  |proj g|=        2.3773
+  At iterate     2  f =       316.07  |proj g|=        2.0206
+  At iterate     3  f =       308.43  |proj g|=        1.8718
+  At iterate     4  f =       304.43  |proj g|=        1.8708
+  At iterate     5  f =       301.46  |proj g|=        1.8699
+  At iterate     6  f =       298.73  |proj g|=        1.8687
+  At iterate     7  f =       277.29  |proj g|=        2.0372
+  At iterate     8  f =       275.68  |proj g|=        1.8511
+  At iterate     9  f =       269.32  |proj g|=        2.7641
+  At iterate    10  f =       267.64  |proj g|=        1.8322
+  At iterate    11  f =       267.24  |proj g|=        1.8285
+  At iterate    12  f =       266.22  |proj g|=        1.8175
+  At iterate    13  f =       265.92  |proj g|=        2.7602
+  At iterate    14  f =       265.38  |proj g|=         3.424
+  At iterate    15  f =        262.5  |proj g|=        2.1938
+  At iterate    16  f =       259.76  |proj g|=        7.7264
+  At iterate    17  f =       257.99  |proj g|=        14.454
+  At iterate    18  f =       252.19  |proj g|=        1.6948
+  At iterate    19  f =       252.13  |proj g|=       0.20627
+  At iterate    20  f =       252.13  |proj g|=       0.20831
+  At iterate    21  f =       252.13  |proj g|=       0.20808
+  At iterate    22  f =       252.13  |proj g|=       0.20747
+  At iterate    23  f =       252.12  |proj g|=       0.56945
+  At iterate    24  f =       252.11  |proj g|=         1.184
+  At iterate    25  f =       252.06  |proj g|=        1.8128
+  At iterate    26  f =       251.94  |proj g|=        1.8408
+  At iterate    27  f =       251.78  |proj g|=        1.9059
+  At iterate    28  f =       251.31  |proj g|=        1.9214
+  At iterate    29  f =       250.26  |proj g|=        1.8898
+  At iterate    30  f =       248.41  |proj g|=        1.7854
+  At iterate    31  f =       246.87  |proj g|=        1.4971
+  At iterate    32  f =       245.38  |proj g|=        4.1013
+  At iterate    33  f =       243.68  |proj g|=         1.404
+  At iterate    34  f =       243.41  |proj g|=        1.7355
+  At iterate    35  f =       243.28  |proj g|=        1.2728
+  At iterate    36  f =       243.27  |proj g|=       0.16757
+  At iterate    37  f =       243.26  |proj g|=       0.98583
+  At iterate    38  f =       243.26  |proj g|=       0.21573
+  At iterate    39  f =       243.26  |proj g|=      0.018994
+  At iterate    40  f =       243.26  |proj g|=       0.00749
+  At iterate    41  f =       243.26  |proj g|=     0.0029298
+  
+  iterations 41
+  function evaluations 61
+  segments explored during Cauchy searches 42
   BFGS updates skipped 0
-  active bounds at final generalized Cauchy point 2
-  norm of the final projected gradient 1.62955e-08
-  final function value 318.222
+  active bounds at final generalized Cauchy point 0
+  norm of the final projected gradient 0.00292978
+  final function value 243.264
   
-  F = 318.222
-  final  value 318.221782 
+  F = 243.264
+  final  value 243.264413 
   converged
   [ FAIL 2 | WARN 227 | SKIP 4 | PASS 547 ]
   
> library(data.table, lib.loc=R.home("library"))
> (sig.diff.dt <- myDiff(Rvers))
Key: <checking>
Empty data.table (0 rows and 3 cols): checking,master,release
> 
> ## If there are significant differences, use git bisect to find when
> ## they started.
> if(nrow(sig.diff.dt)){
+   dt.git <- file.path(task.dir, "data.table.git")
+   system(paste("cd ~/R/data.table && git fetch --tags"))
+   system(paste("git clone ~/R/data.table", dt.git))
+   release.tag <- gsub(".tar.gz|.*_", "", cargs[["release"]])
+   rev.parse.cmd <- paste(
+     "cd", dt.git, "&& git rev-parse master")
+   master.sha <- system(rev.parse.cmd, intern=TRUE)
+   merge.base.cmd <- paste(
+     "cd", dt.git, "&& git merge-base master", release.tag)
+   merge.base.sha <- system(merge.base.cmd, intern=TRUE)
+   old.sha <- merge.base.sha
+   run_R <- file.path(proj.dir, "install_dt_then_check_dep.R")
+   sig.diff.dt[, first.bad.commit := NA_character_]
+   sig.diff.dt[, comments := NA_character_]
+   for(diff.i in 1:nrow(sig.diff.dt)){
+     sig.diff.row <- sig.diff.dt[diff.i]
+     bisect.cmd <- paste(
+       "cd", dt.git, "&&",
+       "git bisect start &&",
+       "git bisect old", old.sha, "&&",
+       "git bisect new master &&",
+       "git bisect run",
+       R.home('bin/Rscript'),
+       run_R,
+       shQuote(sig.diff.row$checking),
+       sig.diff.row$release,
+       rev.dep.release.tar.gz,
+       release.tag)
+     print(bisect.cmd)
+     bisect.out <- system(bisect.cmd, intern=TRUE)
+     cat(bisect.out,sep="\n")
+     if(is.null(attr(bisect.out,"status"))){
+       first.bad.sha <- nc::capture_all_str(
+         bisect.out,
+         sha="[0-9a-f]+",
+         " is the first new commit")$sha
+       parent.cmd <- paste(
+         "cd ~/R/data.table && git log --pretty=%P -n 1",
+         first.bad.sha)
+       parent.sha <- system(parent.cmd, intern=TRUE)
+       sig.diff.dt[diff.i, first.bad.commit := first.bad.sha]
+       parent.msg <- paste0("parent=", parent.sha)
+       this.comment <- if(parent.sha==old.sha){
+         paste(parent.msg, "same as git bisect old")
+       }else if(first.bad.sha==master.sha){
+         paste("same as git bisect new=master,", parent.msg)
+       }else{
+         parent.msg
+       }
+       sig.diff.dt[diff.i, comments := this.comment]
+     }
+   }
+   ## add CRAN column.
+   sig.diff.dt[, CRAN := {
+     flavor <- get_flavor(Rvers)
+     details <- data.table(flavor=unique(flavor))[, {
+       base <- "https://www.r-project.org/nosvn/R.check/"
+       u <- paste0(base, flavor, "/", rev.dep, "-00check.txt")
+       check.txt <- tempfile()
+       tryCatch({
+         download.file(u, check.txt, quiet=TRUE)
+       }, error=function(e){
+         NULL
+       })
+       check.lines <- if(file.exists(check.txt)){
+         readLines(check.txt,encoding="UTF-8")
+       }else{
+         ""
+       }
+       repl.lines <- gsub("[\u2018\u2019]", "'", check.lines)
+       ##gsub("[‘’]", "'", check.lines) does not work with LC_ALL=C.
+       myStatus(line.vec=repl.lines)
+     }, by=flavor]
+     select.dt <- data.table(flavor, checking)
+     details[select.dt, msg, on=.(flavor, checking)]
+   }]
+   dir.create(file.path(job.dir, Rvers))
+   diffs.csv <- file.path(job.dir, Rvers, "significant_differences.csv")
+   data.table::fwrite(sig.diff.dt, diffs.csv)
+   print(sig.diff.dt)
+ }
>