Warning: Permanently added '2620:52:3:1:dead:beef:cafe:c15a' (ED25519) to the list of known hosts.

You can reproduce this build on your computer by running:

  sudo dnf install copr-rpmbuild
  /usr/bin/copr-rpmbuild --verbose --drop-resultdir --task-url https://copr.fedorainfracloud.org/backend/get-build-task/8401833-fedora-40-x86_64 --chroot fedora-40-x86_64


Version: 1.2
PID: 13109
Logging PID: 13110
Task:
{'allow_user_ssh': False,
 'appstream': False,
 'background': False,
 'bootstrap': 'off',
 'build_id': 8401833,
 'buildroot_pkgs': [],
 'chroot': 'fedora-40-x86_64',
 'enable_net': False,
 'fedora_review': False,
 'git_hash': 'd9d857cec4c8b06a26f9fc268a549c1493a35381',
 'git_repo': 'https://copr-dist-git.fedorainfracloud.org/git/iucar/cran/R-CRAN-ravetools',
 'isolation': 'default',
 'memory_reqs': 2048,
 'package_name': 'R-CRAN-ravetools',
 'package_version': '0.2.0-1.copr8401833',
 'project_dirname': 'cran',
 'project_name': 'cran',
 'project_owner': 'iucar',
 'repo_priority': None,
 'repos': [{'baseurl': 'https://download.copr.fedorainfracloud.org/results/iucar/cran/fedora-40-x86_64/',
            'id': 'copr_base',
            'name': 'Copr repository',
            'priority': None}],
 'sandbox': 'iucar/cran--iucar',
 'source_json': {},
 'source_type': None,
 'ssh_public_keys': None,
 'storage': None,
 'submitter': 'iucar',
 'tags': [],
 'task_id': '8401833-fedora-40-x86_64',
 'timeout': 18000,
 'uses_devel_repo': False,
 'with_opts': [],
 'without_opts': []}

Running: git clone https://copr-dist-git.fedorainfracloud.org/git/iucar/cran/R-CRAN-ravetools /var/lib/copr-rpmbuild/workspace/workdir-onvmiqyz/R-CRAN-ravetools --depth 500 --no-single-branch --recursive

cmd: ['git', 'clone', 'https://copr-dist-git.fedorainfracloud.org/git/iucar/cran/R-CRAN-ravetools', '/var/lib/copr-rpmbuild/workspace/workdir-onvmiqyz/R-CRAN-ravetools', '--depth', '500', '--no-single-branch', '--recursive']
cwd: .
rc: 0
stdout: 
stderr: Cloning into '/var/lib/copr-rpmbuild/workspace/workdir-onvmiqyz/R-CRAN-ravetools'...

Running: git checkout d9d857cec4c8b06a26f9fc268a549c1493a35381 --

cmd: ['git', 'checkout', 'd9d857cec4c8b06a26f9fc268a549c1493a35381', '--']
cwd: /var/lib/copr-rpmbuild/workspace/workdir-onvmiqyz/R-CRAN-ravetools
rc: 0
stdout: 
stderr: Note: switching to 'd9d857cec4c8b06a26f9fc268a549c1493a35381'.

You are in 'detached HEAD' state. You can look around, make experimental
changes and commit them, and you can discard any commits you make in this
state without impacting any branches by switching back to a branch.

If you want to create a new branch to retain commits you create, you may
do so (now or later) by using -c with the switch command. Example:

  git switch -c <new-branch-name>

Or undo this operation with:

  git switch -

Turn off this advice by setting config variable advice.detachedHead to false

HEAD is now at d9d857c automatic import of R-CRAN-ravetools

Running: dist-git-client sources
100 1060k  100 1060k    0     0  3658k      0 --:--:-- --:--:-- --:--:-- 3670k
INFO: Reading stdout from command: md5sum ravetools_0.2.0.tar.gz

/usr/bin/tail: /var/lib/copr-rpmbuild/main.log: file truncated
Running (timeout=18000): unbuffer mock --spec /var/lib/copr-rpmbuild/workspace/workdir-onvmiqyz/R-CRAN-ravetools/R-CRAN-ravetools.spec --sources /var/lib/copr-rpmbuild/workspace/workdir-onvmiqyz/R-CRAN-ravetools --resultdir /var/lib/copr-rpmbuild/results --uniqueext 1734400461.336274 -r /var/lib/copr-rpmbuild/results/configs/child.cfg
INFO: mock.py version 5.9 starting (python version = 3.13.0, NVR = mock-5.9-1.fc41), args: /usr/libexec/mock/mock --spec /var/lib/copr-rpmbuild/workspace/workdir-onvmiqyz/R-CRAN-ravetools/R-CRAN-ravetools.spec --sources /var/lib/copr-rpmbuild/workspace/workdir-onvmiqyz/R-CRAN-ravetools --resultdir /var/lib/copr-rpmbuild/results --uniqueext 1734400461.336274 -r /var/lib/copr-rpmbuild/results/configs/child.cfg
Start: init plugins
INFO: tmpfs initialized
INFO: selinux enabled
INFO: chroot_scan: initialized
INFO: compress_logs: initialized
Finish: init plugins
INFO: Signal handler active
Start: run
INFO: Start(/var/lib/copr-rpmbuild/workspace/workdir-onvmiqyz/R-CRAN-ravetools/R-CRAN-ravetools.spec)  Config(fedora-40-x86_64)
Start: clean chroot
Finish: clean chroot
Mock Version: 5.9
INFO: Mock Version: 5.9
Start: chroot init
INFO: mounting tmpfs at /var/lib/mock/fedora-40-x86_64-1734400461.336274/root.
INFO: calling preinit hooks
INFO: enabled root cache
INFO: enabled package manager cache
Start: cleaning package manager metadata
Finish: cleaning package manager metadata
INFO: enabled HW Info plugin
INFO: Package manager dnf5 detected and used (fallback)
INFO: Buildroot is handled by package management from host and used with --installroot:
  rpm-4.20.0-1.fc41.x86_64
  rpm-sequoia-1.7.0-2.fc41.x86_64
  python3-dnf-4.22.0-1.fc41.noarch
  python3-dnf-plugins-core-4.10.0-1.fc41.noarch
  dnf5-5.2.8.1-2.fc41.x86_64
  dnf5-plugins-5.2.8.1-2.fc41.x86_64
Start: installing minimal buildroot with dnf5
Updating and loading repositories:
 updates                                100% |  13.2 MiB/s |  13.6 MiB |  00m01s
 fedora                                 100% |  15.4 MiB/s |  20.8 MiB |  00m01s
 Copr repository                        100% |  11.9 MiB/s |  12.3 MiB |  00m01s
Repositories loaded.
Package                        Arch   Version                     Repository      Size
Installing group/module packages:
 bash                          x86_64 5.2.26-3.fc40               fedora       8.1 MiB
 bzip2                         x86_64 1.0.8-18.fc40               fedora      91.7 KiB
 coreutils                     x86_64 9.4-9.fc40                  updates      5.8 MiB
 cpio                          x86_64 2.15-1.fc40                 fedora       1.1 MiB
 diffutils                     x86_64 3.10-5.fc40                 fedora       1.6 MiB
 fedora-release-common         noarch 40-40                       updates     19.2 KiB
 findutils                     x86_64 1:4.9.0-9.fc40              updates      1.5 MiB
 gawk                          x86_64 5.3.0-3.fc40                fedora       1.7 MiB
 glibc-minimal-langpack        x86_64 2.39-30.fc40                updates      0.0   B
 grep                          x86_64 3.11-7.fc40                 fedora       1.0 MiB
 gzip                          x86_64 1.13-1.fc40                 fedora     385.0 KiB
 info                          x86_64 7.1-2.fc40                  fedora     357.8 KiB
 patch                         x86_64 2.7.6-24.fc40               fedora     262.8 KiB
 redhat-rpm-config             noarch 288-1.fc40                  updates    185.2 KiB
 rpm-build                     x86_64 4.19.1.1-1.fc40             fedora     173.7 KiB
 sed                           x86_64 4.9-1.fc40                  fedora     861.5 KiB
 shadow-utils                  x86_64 2:4.15.1-4.fc40             updates      4.1 MiB
 tar                           x86_64 2:1.35-3.fc40               fedora       2.9 MiB
 unzip                         x86_64 6.0-63.fc40                 fedora     382.8 KiB
 util-linux                    x86_64 2.40.2-1.fc40               updates      3.7 MiB
 which                         x86_64 2.21-41.fc40                fedora      80.2 KiB
 xz                            x86_64 1:5.4.6-3.fc40              fedora       2.0 MiB
Installing dependencies:
 alternatives                  x86_64 1.27-1.fc40                 updates     66.3 KiB
 ansible-srpm-macros           noarch 1-16.fc40                   updates     35.7 KiB
 audit-libs                    x86_64 4.0.2-1.fc40                updates    327.4 KiB
 authselect                    x86_64 1.5.0-6.fc40                updates    153.6 KiB
 authselect-libs               x86_64 1.5.0-6.fc40                updates    818.2 KiB
 basesystem                    noarch 11-20.fc40                  fedora       0.0   B
 binutils                      x86_64 2.41-38.fc40                updates     26.4 MiB
 binutils-gold                 x86_64 2.41-38.fc40                updates      2.0 MiB
 bzip2-libs                    x86_64 1.0.8-18.fc40               fedora      80.7 KiB
 ca-certificates               noarch 2024.2.69_v8.0.401-1.0.fc40 updates      2.4 MiB
 coreutils-common              x86_64 9.4-9.fc40                  updates     11.4 MiB
 cracklib                      x86_64 2.9.11-5.fc40               fedora     238.9 KiB
 crypto-policies               noarch 20241011-1.git5930b9a.fc40  updates    158.0 KiB
 curl                          x86_64 8.6.0-10.fc40               updates    738.6 KiB
 cyrus-sasl-lib                x86_64 2.1.28-19.fc40              fedora       2.3 MiB
 debugedit                     x86_64 5.0-18.fc40                 updates    199.3 KiB
 dwz                           x86_64 0.15-8.fc40                 updates    294.9 KiB
 ed                            x86_64 1.20.2-1.fc40               updates    146.9 KiB
 efi-srpm-macros               noarch 5-11.fc40                   fedora      40.1 KiB
 elfutils                      x86_64 0.192-7.fc40                updates      2.7 MiB
 elfutils-debuginfod-client    x86_64 0.192-7.fc40                updates     80.2 KiB
 elfutils-default-yama-scope   noarch 0.192-7.fc40                updates      1.8 KiB
 elfutils-libelf               x86_64 0.192-7.fc40                updates      1.2 MiB
 elfutils-libs                 x86_64 0.192-7.fc40                updates    670.3 KiB
 fedora-gpg-keys               noarch 40-2                        updates    124.7 KiB
 fedora-release                noarch 40-40                       updates      0.0   B
 fedora-release-identity-basic noarch 40-40                       updates    654.0   B
 fedora-repos                  noarch 40-2                        updates      4.9 KiB
 file                          x86_64 5.45-4.fc40                 fedora     103.5 KiB
 file-libs                     x86_64 5.45-4.fc40                 fedora       9.9 MiB
 filesystem                    x86_64 3.18-8.fc40                 fedora     106.0   B
 fonts-srpm-macros             noarch 1:2.0.5-14.fc40             fedora      55.3 KiB
 forge-srpm-macros             noarch 0.3.2-1.fc40                updates     39.0 KiB
 fpc-srpm-macros               noarch 1.3-12.fc40                 fedora     144.0   B
 gdb-minimal                   x86_64 15.2-3.fc40                 updates     13.0 MiB
 gdbm                          x86_64 1:1.23-6.fc40               fedora     460.9 KiB
 gdbm-libs                     x86_64 1:1.23-6.fc40               fedora     121.9 KiB
 ghc-srpm-macros               noarch 1.9.1-1.fc40                updates    747.0   B
 glibc                         x86_64 2.39-30.fc40                updates      6.6 MiB
 glibc-common                  x86_64 2.39-30.fc40                updates      1.0 MiB
 glibc-gconv-extra             x86_64 2.39-30.fc40                updates      7.8 MiB
 gmp                           x86_64 1:6.2.1-8.fc40              fedora     794.6 KiB
 gnat-srpm-macros              noarch 6-5.fc40                    fedora       1.0 KiB
 go-srpm-macros                noarch 3.5.0-1.fc40                fedora      60.6 KiB
 jansson                       x86_64 2.13.1-9.fc40               fedora      88.3 KiB
 json-c                        x86_64 0.17-3.fc40                 fedora      82.4 KiB
 kernel-srpm-macros            noarch 1.0-23.fc40                 fedora       1.9 KiB
 keyutils-libs                 x86_64 1.6.3-3.fc40                fedora      54.4 KiB
 krb5-libs                     x86_64 1.21.3-2.fc40               updates      2.3 MiB
 libacl                        x86_64 2.3.2-1.fc40                fedora      40.0 KiB
 libarchive                    x86_64 3.7.2-7.fc40                updates    922.6 KiB
 libattr                       x86_64 2.5.2-3.fc40                fedora      28.5 KiB
 libblkid                      x86_64 2.40.2-1.fc40               updates    258.6 KiB
 libbrotli                     x86_64 1.1.0-3.fc40                fedora     829.5 KiB
 libcap                        x86_64 2.69-8.fc40                 updates    219.8 KiB
 libcap-ng                     x86_64 0.8.4-4.fc40                fedora      73.1 KiB
 libcom_err                    x86_64 1.47.0-5.fc40               fedora      67.2 KiB
 libcurl                       x86_64 8.6.0-10.fc40               updates    776.8 KiB
 libeconf                      x86_64 0.6.2-2.fc40                updates     58.0 KiB
 libevent                      x86_64 2.1.12-12.fc40              fedora     895.6 KiB
 libfdisk                      x86_64 2.40.2-1.fc40               updates    362.9 KiB
 libffi                        x86_64 3.4.4-7.fc40                fedora      81.6 KiB
 libgcc                        x86_64 14.2.1-3.fc40               updates    274.6 KiB
 libgomp                       x86_64 14.2.1-3.fc40               updates    523.6 KiB
 libidn2                       x86_64 2.3.7-1.fc40                fedora     329.1 KiB
 libmount                      x86_64 2.40.2-1.fc40               updates    355.8 KiB
 libnghttp2                    x86_64 1.59.0-3.fc40               updates    166.1 KiB
 libnsl2                       x86_64 2.0.1-1.fc40                fedora      57.9 KiB
 libpkgconf                    x86_64 2.1.1-2.fc40                updates     74.2 KiB
 libpsl                        x86_64 0.21.5-3.fc40               fedora      80.5 KiB
 libpwquality                  x86_64 1.4.5-9.fc40                fedora     417.8 KiB
 libselinux                    x86_64 3.7-5.fc40                  updates    177.0 KiB
 libsemanage                   x86_64 3.7-2.fc40                  updates    293.5 KiB
 libsepol                      x86_64 3.7-2.fc40                  updates    817.9 KiB
 libsmartcols                  x86_64 2.40.2-1.fc40               updates    180.4 KiB
 libssh                        x86_64 0.10.6-5.fc40               fedora     509.3 KiB
 libssh-config                 noarch 0.10.6-5.fc40               fedora     277.0   B
 libstdc++                     x86_64 14.2.1-3.fc40               updates      2.8 MiB
 libtasn1                      x86_64 4.19.0-6.fc40               fedora     175.7 KiB
 libtirpc                      x86_64 1.3.6-1.fc40                updates    202.7 KiB
 libtool-ltdl                  x86_64 2.4.7-10.fc40               fedora      66.2 KiB
 libunistring                  x86_64 1.1-7.fc40                  fedora       1.7 MiB
 libutempter                   x86_64 1.2.1-13.fc40               fedora      57.7 KiB
 libuuid                       x86_64 2.40.2-1.fc40               updates     37.5 KiB
 libverto                      x86_64 0.3.2-8.fc40                fedora      29.5 KiB
 libxcrypt                     x86_64 4.4.36-11.fc40              updates    267.5 KiB
 libxml2                       x86_64 2.12.8-1.fc40               updates      1.7 MiB
 libzstd                       x86_64 1.5.6-1.fc40                updates    787.9 KiB
 lua-libs                      x86_64 5.4.6-5.fc40                fedora     281.1 KiB
 lua-srpm-macros               noarch 1-13.fc40                   fedora       1.3 KiB
 lz4-libs                      x86_64 1.9.4-6.fc40                fedora     129.4 KiB
 mpfr                          x86_64 4.2.1-4.fc40                updates    832.0 KiB
 ncurses-base                  noarch 6.4-12.20240127.fc40        fedora     326.2 KiB
 ncurses-libs                  x86_64 6.4-12.20240127.fc40        fedora     963.2 KiB
 ocaml-srpm-macros             noarch 9-3.fc40                    fedora       1.9 KiB
 openblas-srpm-macros          noarch 2-16.fc40                   fedora     104.0   B
 openldap                      x86_64 2.6.7-1.fc40                fedora     635.1 KiB
 openssl-libs                  x86_64 1:3.2.2-3.fc40              updates      7.8 MiB
 p11-kit                       x86_64 0.25.5-1.fc40               updates      2.2 MiB
 p11-kit-trust                 x86_64 0.25.5-1.fc40               updates    391.4 KiB
 package-notes-srpm-macros     noarch 0.5-11.fc40                 fedora       1.6 KiB
 pam                           x86_64 1.6.1-5.fc40                updates      1.8 MiB
 pam-libs                      x86_64 1.6.1-5.fc40                updates    135.0 KiB
 pcre2                         x86_64 10.44-1.fc40                updates    653.5 KiB
 pcre2-syntax                  noarch 10.44-1.fc40                updates    251.6 KiB
 perl-srpm-macros              noarch 1-53.fc40                   fedora     861.0   B
 pkgconf                       x86_64 2.1.1-2.fc40                updates     82.9 KiB
 pkgconf-m4                    noarch 2.1.1-2.fc40                updates     13.9 KiB
 pkgconf-pkg-config            x86_64 2.1.1-2.fc40                updates    989.0   B
 popt                          x86_64 1.19-6.fc40                 fedora     136.9 KiB
 publicsuffix-list-dafsa       noarch 20240107-3.fc40             fedora      67.5 KiB
 pyproject-srpm-macros         noarch 1.16.3-1.fc40               updates      1.9 KiB
 python-srpm-macros            noarch 3.12-8.fc40                 updates     50.6 KiB
 qt5-srpm-macros               noarch 5.15.15-1.fc40              updates    500.0   B
 qt6-srpm-macros               noarch 6.7.2-2.fc40                updates    456.0   B
 readline                      x86_64 8.2-8.fc40                  fedora     489.2 KiB
 rpm                           x86_64 4.19.1.1-1.fc40             fedora       3.0 MiB
 rpm-build-libs                x86_64 4.19.1.1-1.fc40             fedora     198.4 KiB
 rpm-libs                      x86_64 4.19.1.1-1.fc40             fedora     709.9 KiB
 rpm-sequoia                   x86_64 1.7.0-3.fc40                updates      2.4 MiB
 rust-srpm-macros              noarch 26.3-1.fc40                 updates      4.8 KiB
 setup                         noarch 2.14.5-2.fc40               fedora     720.4 KiB
 sqlite-libs                   x86_64 3.45.1-2.fc40               fedora       1.4 MiB
 systemd-libs                  x86_64 255.15-1.fc40               updates      1.9 MiB
 util-linux-core               x86_64 2.40.2-1.fc40               updates      1.5 MiB
 xxhash-libs                   x86_64 0.8.2-4.fc40                updates     88.5 KiB
 xz-libs                       x86_64 1:5.4.6-3.fc40              fedora     209.8 KiB
 zig-srpm-macros               noarch 1-2.fc40                    fedora       1.1 KiB
 zip                           x86_64 3.0-40.fc40                 fedora     703.2 KiB
 zlib-ng-compat                x86_64 2.1.7-2.fc40                updates    134.0 KiB
 zstd                          x86_64 1.5.6-1.fc40                updates      1.7 MiB
Installing groups:
 Buildsystem building group                                                           

Transaction Summary:
 Installing:       153 packages

Total size of inbound packages is 53 MiB. Need to download 53 MiB.
After this operation, 179 MiB extra will be used (install 179 MiB, remove 0 B).
[  1/153] bzip2-0:1.0.8-18.fc40.x86_64  100% | 302.6 KiB/s |  52.4 KiB |  00m00s
[  2/153] cpio-0:2.15-1.fc40.x86_64     100% |   1.0 MiB/s | 292.2 KiB |  00m00s
[  3/153] diffutils-0:3.10-5.fc40.x86_6 100% |   2.4 MiB/s | 405.6 KiB |  00m00s
[  4/153] grep-0:3.11-7.fc40.x86_64     100% |   4.3 MiB/s | 300.2 KiB |  00m00s
[  5/153] bash-0:5.2.26-3.fc40.x86_64   100% |   4.6 MiB/s |   1.8 MiB |  00m00s
[  6/153] gzip-0:1.13-1.fc40.x86_64     100% |   3.1 MiB/s | 170.6 KiB |  00m00s
[  7/153] info-0:7.1-2.fc40.x86_64      100% |   3.1 MiB/s | 182.3 KiB |  00m00s
[  8/153] patch-0:2.7.6-24.fc40.x86_64  100% |   3.2 MiB/s | 130.7 KiB |  00m00s
[  9/153] rpm-build-0:4.19.1.1-1.fc40.x 100% |   1.7 MiB/s |  78.2 KiB |  00m00s
[ 10/153] sed-0:4.9-1.fc40.x86_64       100% |   4.3 MiB/s | 318.2 KiB |  00m00s
[ 11/153] which-0:2.21-41.fc40.x86_64   100% | 942.0 KiB/s |  41.4 KiB |  00m00s
[ 12/153] unzip-0:6.0-63.fc40.x86_64    100% |   1.0 MiB/s | 184.5 KiB |  00m00s
[ 13/153] tar-2:1.35-3.fc40.x86_64      100% |   4.4 MiB/s | 856.6 KiB |  00m00s
[ 14/153] xz-1:5.4.6-3.fc40.x86_64      100% |   5.3 MiB/s | 557.4 KiB |  00m00s
[ 15/153] fedora-release-common-0:40-40 100% | 116.6 KiB/s |  21.5 KiB |  00m00s
[ 16/153] gawk-0:5.3.0-3.fc40.x86_64    100% |  17.9 MiB/s |   1.1 MiB |  00m00s
[ 17/153] glibc-minimal-langpack-0:2.39 100% | 635.8 KiB/s |  88.4 KiB |  00m00s
[ 18/153] findutils-1:4.9.0-9.fc40.x86_ 100% |   1.2 MiB/s | 491.4 KiB |  00m00s
[ 19/153] coreutils-0:9.4-9.fc40.x86_64 100% |   2.5 MiB/s |   1.1 MiB |  00m00s
[ 20/153] redhat-rpm-config-0:288-1.fc4 100% | 902.1 KiB/s |  82.1 KiB |  00m00s
[ 21/153] shadow-utils-2:4.15.1-4.fc40. 100% |   5.0 MiB/s |   1.3 MiB |  00m00s
[ 22/153] util-linux-0:2.40.2-1.fc40.x8 100% |   6.2 MiB/s |   1.2 MiB |  00m00s
[ 23/153] filesystem-0:3.18-8.fc40.x86_ 100% |   5.6 MiB/s |   1.1 MiB |  00m00s
[ 24/153] bzip2-libs-0:1.0.8-18.fc40.x8 100% | 908.0 KiB/s |  40.9 KiB |  00m00s
[ 25/153] libattr-0:2.5.2-3.fc40.x86_64 100% | 409.0 KiB/s |  18.0 KiB |  00m00s
[ 26/153] file-0:5.45-4.fc40.x86_64     100% |   1.0 MiB/s |  49.0 KiB |  00m00s
[ 27/153] ncurses-libs-0:6.4-12.2024012 100% |   3.1 MiB/s | 332.5 KiB |  00m00s
[ 28/153] popt-0:1.19-6.fc40.x86_64     100% |   1.3 MiB/s |  66.7 KiB |  00m00s
[ 29/153] readline-0:8.2-8.fc40.x86_64  100% |   4.8 MiB/s | 213.3 KiB |  00m00s
[ 30/153] rpm-build-libs-0:4.19.1.1-1.f 100% |   2.3 MiB/s |  95.0 KiB |  00m00s
[ 31/153] rpm-libs-0:4.19.1.1-1.fc40.x8 100% |   6.4 MiB/s | 308.9 KiB |  00m00s
[ 32/153] libacl-0:2.3.2-1.fc40.x86_64  100% | 642.9 KiB/s |  24.4 KiB |  00m00s
[ 33/153] xz-libs-1:5.4.6-3.fc40.x86_64 100% |   2.7 MiB/s | 110.0 KiB |  00m00s
[ 34/153] rpm-0:4.19.1.1-1.fc40.x86_64  100% |   3.9 MiB/s | 540.1 KiB |  00m00s
[ 35/153] gmp-1:6.2.1-8.fc40.x86_64     100% |   5.5 MiB/s | 312.5 KiB |  00m00s
[ 36/153] efi-srpm-macros-0:5-11.fc40.n 100% | 586.8 KiB/s |  22.3 KiB |  00m00s
[ 37/153] fonts-srpm-macros-1:2.0.5-14. 100% | 564.3 KiB/s |  26.5 KiB |  00m00s
[ 38/153] fpc-srpm-macros-0:1.3-12.fc40 100% | 191.0 KiB/s |   7.8 KiB |  00m00s
[ 39/153] coreutils-common-0:9.4-9.fc40 100% |   9.1 MiB/s |   2.1 MiB |  00m00s
[ 40/153] gnat-srpm-macros-0:6-5.fc40.n 100% | 232.2 KiB/s |   8.8 KiB |  00m00s
[ 41/153] go-srpm-macros-0:3.5.0-1.fc40 100% | 688.7 KiB/s |  27.5 KiB |  00m00s
[ 42/153] kernel-srpm-macros-0:1.0-23.f 100% | 262.9 KiB/s |   9.7 KiB |  00m00s
[ 43/153] glibc-common-0:2.39-30.fc40.x 100% |   1.5 MiB/s | 372.2 KiB |  00m00s
[ 44/153] lua-srpm-macros-0:1-13.fc40.n 100% | 229.7 KiB/s |   8.7 KiB |  00m00s
[ 45/153] ocaml-srpm-macros-0:9-3.fc40. 100% | 245.2 KiB/s |   9.1 KiB |  00m00s
[ 46/153] openblas-srpm-macros-0:2-16.f 100% | 197.4 KiB/s |   7.5 KiB |  00m00s
[ 47/153] package-notes-srpm-macros-0:0 100% | 261.7 KiB/s |   9.9 KiB |  00m00s
[ 48/153] perl-srpm-macros-0:1-53.fc40. 100% | 226.5 KiB/s |   8.4 KiB |  00m00s
[ 49/153] zig-srpm-macros-0:1-2.fc40.no 100% | 217.3 KiB/s |   8.0 KiB |  00m00s
[ 50/153] setup-0:2.14.5-2.fc40.noarch  100% |   3.1 MiB/s | 154.7 KiB |  00m00s
[ 51/153] libcap-ng-0:0.8.4-4.fc40.x86_ 100% | 709.7 KiB/s |  32.6 KiB |  00m00s
[ 52/153] zip-0:3.0-40.fc40.x86_64      100% |   1.9 MiB/s | 264.8 KiB |  00m00s
[ 53/153] util-linux-core-0:2.40.2-1.fc 100% |   3.9 MiB/s | 536.6 KiB |  00m00s
[ 54/153] ncurses-base-0:6.4-12.2024012 100% |   1.5 MiB/s |  88.8 KiB |  00m00s
[ 55/153] lua-libs-0:5.4.6-5.fc40.x86_6 100% |   2.2 MiB/s | 131.9 KiB |  00m00s
[ 56/153] file-libs-0:5.45-4.fc40.x86_6 100% |   7.1 MiB/s | 762.7 KiB |  00m00s
[ 57/153] glibc-0:2.39-30.fc40.x86_64   100% |  22.9 MiB/s |   2.2 MiB |  00m00s
[ 58/153] sqlite-libs-0:3.45.1-2.fc40.x 100% |   4.6 MiB/s | 705.1 KiB |  00m00s
[ 59/153] basesystem-0:11-20.fc40.noarc 100% | 163.4 KiB/s |   7.2 KiB |  00m00s
[ 60/153] glibc-gconv-extra-0:2.39-30.f 100% |  12.3 MiB/s |   1.7 MiB |  00m00s
[ 61/153] libselinux-0:3.7-5.fc40.x86_6 100% |   1.7 MiB/s |  88.0 KiB |  00m00s
[ 62/153] libutempter-0:1.2.1-13.fc40.x 100% |  68.4 KiB/s |  26.4 KiB |  00m00s
[ 63/153] libsepol-0:3.7-2.fc40.x86_64  100% |   7.0 MiB/s | 342.2 KiB |  00m00s
[ 64/153] zlib-ng-compat-0:2.1.7-2.fc40 100% |   1.1 MiB/s |  77.7 KiB |  00m00s
[ 65/153] libcap-0:2.69-8.fc40.x86_64   100% |   1.2 MiB/s |  85.7 KiB |  00m00s
[ 66/153] libzstd-0:1.5.6-1.fc40.x86_64 100% |   5.6 MiB/s | 309.2 KiB |  00m00s
[ 67/153] elfutils-libelf-0:0.192-7.fc4 100% |   4.0 MiB/s | 208.5 KiB |  00m00s
[ 68/153] elfutils-libs-0:0.192-7.fc40. 100% |   4.5 MiB/s | 263.6 KiB |  00m00s
[ 69/153] elfutils-0:0.192-7.fc40.x86_6 100% |   7.8 MiB/s | 546.4 KiB |  00m00s
[ 70/153] elfutils-debuginfod-client-0: 100% |   1.0 MiB/s |  46.5 KiB |  00m00s
[ 71/153] rpm-sequoia-0:1.7.0-3.fc40.x8 100% |   5.4 MiB/s | 902.0 KiB |  00m00s
[ 72/153] libgomp-0:14.2.1-3.fc40.x86_6 100% |   6.4 MiB/s | 353.9 KiB |  00m00s
[ 73/153] libgcc-0:14.2.1-3.fc40.x86_64 100% | 980.2 KiB/s | 133.3 KiB |  00m00s
[ 74/153] jansson-0:2.13.1-9.fc40.x86_6 100% | 920.4 KiB/s |  44.2 KiB |  00m00s
[ 75/153] debugedit-0:5.0-18.fc40.x86_6 100% |   1.6 MiB/s |  80.0 KiB |  00m00s
[ 76/153] pkgconf-pkg-config-0:2.1.1-2. 100% | 196.9 KiB/s |   9.8 KiB |  00m00s
[ 77/153] binutils-0:2.41-38.fc40.x86_6 100% |  25.3 MiB/s |   6.2 MiB |  00m00s
[ 78/153] pkgconf-0:2.1.1-2.fc40.x86_64 100% | 892.8 KiB/s |  43.7 KiB |  00m00s
[ 79/153] pkgconf-m4-0:2.1.1-2.fc40.noa 100% | 360.0 KiB/s |  14.0 KiB |  00m00s
[ 80/153] libpkgconf-0:2.1.1-2.fc40.x86 100% | 972.6 KiB/s |  37.9 KiB |  00m00s
[ 81/153] lz4-libs-0:1.9.4-6.fc40.x86_6 100% |   1.5 MiB/s |  67.2 KiB |  00m00s
[ 82/153] zstd-0:1.5.6-1.fc40.x86_64    100% |   6.3 MiB/s | 479.4 KiB |  00m00s
[ 83/153] curl-0:8.6.0-10.fc40.x86_64   100% |   5.1 MiB/s | 299.2 KiB |  00m00s
[ 84/153] libarchive-0:3.7.2-7.fc40.x86 100% |   6.9 MiB/s | 408.5 KiB |  00m00s
[ 85/153] ed-0:1.20.2-1.fc40.x86_64     100% |   2.0 MiB/s |  81.9 KiB |  00m00s
[ 86/153] pcre2-0:10.44-1.fc40.x86_64   100% |   3.8 MiB/s | 242.9 KiB |  00m00s
[ 87/153] pcre2-syntax-0:10.44-1.fc40.n 100% |   2.8 MiB/s | 149.8 KiB |  00m00s
[ 88/153] mpfr-0:4.2.1-4.fc40.x86_64    100% |   7.6 MiB/s | 348.9 KiB |  00m00s
[ 89/153] forge-srpm-macros-0:0.3.2-1.f 100% | 333.3 KiB/s |  19.7 KiB |  00m00s
[ 90/153] libblkid-0:2.40.2-1.fc40.x86_ 100% |   2.6 MiB/s | 124.1 KiB |  00m00s
[ 91/153] libstdc++-0:14.2.1-3.fc40.x86 100% |  11.2 MiB/s | 886.5 KiB |  00m00s
[ 92/153] libuuid-0:2.40.2-1.fc40.x86_6 100% | 595.1 KiB/s |  28.6 KiB |  00m00s
[ 93/153] libmount-0:2.40.2-1.fc40.x86_ 100% |   2.9 MiB/s | 155.2 KiB |  00m00s
[ 94/153] libsmartcols-0:2.40.2-1.fc40. 100% |   1.8 MiB/s |  83.2 KiB |  00m00s
[ 95/153] json-c-0:0.17-3.fc40.x86_64   100% |  54.7 KiB/s |  44.0 KiB |  00m01s
[ 96/153] libxcrypt-0:4.4.36-11.fc40.x8 100% |   1.8 MiB/s | 118.3 KiB |  00m00s
[ 97/153] systemd-libs-0:255.15-1.fc40. 100% |   9.2 MiB/s | 707.1 KiB |  00m00s
[ 98/153] audit-libs-0:4.0.2-1.fc40.x86 100% |   1.9 MiB/s | 125.8 KiB |  00m00s
[ 99/153] authselect-libs-0:1.5.0-6.fc4 100% |   3.4 MiB/s | 217.9 KiB |  00m00s
[100/153] libfdisk-0:2.40.2-1.fc40.x86_ 100% |   3.5 MiB/s | 159.3 KiB |  00m00s
[101/153] authselect-0:1.5.0-6.fc40.x86 100% |   2.4 MiB/s | 145.5 KiB |  00m00s
[102/153] pam-0:1.6.1-5.fc40.x86_64     100% |   6.8 MiB/s | 554.4 KiB |  00m00s
[103/153] pam-libs-0:1.6.1-5.fc40.x86_6 100% |   1.0 MiB/s |  57.2 KiB |  00m00s
[104/153] libpwquality-0:1.4.5-9.fc40.x 100% |   2.6 MiB/s | 119.7 KiB |  00m00s
[105/153] libnsl2-0:2.0.1-1.fc40.x86_64 100% | 657.1 KiB/s |  29.6 KiB |  00m00s
[106/153] cracklib-0:2.9.11-5.fc40.x86_ 100% |   1.7 MiB/s |  92.5 KiB |  00m00s
[107/153] libeconf-0:0.6.2-2.fc40.x86_6 100% | 484.2 KiB/s |  32.0 KiB |  00m00s
[108/153] libsemanage-0:3.7-2.fc40.x86_ 100% |   2.1 MiB/s | 116.1 KiB |  00m00s
[109/153] ansible-srpm-macros-0:1-16.fc 100% | 339.7 KiB/s |  20.7 KiB |  00m00s
[110/153] dwz-0:0.15-8.fc40.x86_64      100% |   2.5 MiB/s | 138.7 KiB |  00m00s
[111/153] openssl-libs-1:3.2.2-3.fc40.x 100% |  12.5 MiB/s |   2.3 MiB |  00m00s
[112/153] ghc-srpm-macros-0:1.9.1-1.fc4 100% | 212.5 KiB/s |   8.9 KiB |  00m00s
[113/153] pyproject-srpm-macros-0:1.16. 100% | 355.2 KiB/s |  13.9 KiB |  00m00s
[114/153] python-srpm-macros-0:3.12-8.f 100% | 417.6 KiB/s |  23.4 KiB |  00m00s
[115/153] gdbm-libs-1:1.23-6.fc40.x86_6 100% | 142.2 KiB/s |  56.2 KiB |  00m00s
[116/153] qt5-srpm-macros-0:5.15.15-1.f 100% | 171.2 KiB/s |   8.9 KiB |  00m00s
[117/153] qt6-srpm-macros-0:6.7.2-2.fc4 100% | 195.6 KiB/s |   9.0 KiB |  00m00s
[118/153] libtirpc-0:1.3.6-1.fc40.x86_6 100% |   1.9 MiB/s |  94.1 KiB |  00m00s
[119/153] rust-srpm-macros-0:26.3-1.fc4 100% | 219.5 KiB/s |  12.5 KiB |  00m00s
[120/153] gdbm-1:1.23-6.fc40.x86_64     100% |   1.4 MiB/s | 152.5 KiB |  00m00s
[121/153] libcom_err-0:1.47.0-5.fc40.x8 100% | 176.1 KiB/s |  25.4 KiB |  00m00s
[122/153] ca-certificates-0:2024.2.69_v 100% |   6.5 MiB/s | 871.2 KiB |  00m00s
[123/153] crypto-policies-0:20241011-1. 100% |   2.4 MiB/s |  98.9 KiB |  00m00s
[124/153] libverto-0:0.3.2-8.fc40.x86_6 100% | 513.5 KiB/s |  20.5 KiB |  00m00s
[125/153] krb5-libs-0:1.21.3-2.fc40.x86 100% |  10.6 MiB/s | 759.5 KiB |  00m00s
[126/153] fedora-repos-0:40-2.noarch    100% | 141.6 KiB/s |   9.5 KiB |  00m00s
[127/153] libxml2-0:2.12.8-1.fc40.x86_6 100% |   8.5 MiB/s | 687.1 KiB |  00m00s
[128/153] keyutils-libs-0:1.6.3-3.fc40. 100% | 214.1 KiB/s |  31.5 KiB |  00m00s
[129/153] elfutils-default-yama-scope-0 100% | 304.1 KiB/s |  12.5 KiB |  00m00s
[130/153] fedora-gpg-keys-0:40-2.noarch 100% |   2.3 MiB/s | 132.1 KiB |  00m00s
[131/153] p11-kit-0:0.25.5-1.fc40.x86_6 100% |   5.9 MiB/s | 491.2 KiB |  00m00s
[132/153] libtasn1-0:4.19.0-6.fc40.x86_ 100% |   1.4 MiB/s |  73.7 KiB |  00m00s
[133/153] p11-kit-trust-0:0.25.5-1.fc40 100% |   2.5 MiB/s | 132.0 KiB |  00m00s
[134/153] alternatives-0:1.27-1.fc40.x8 100% | 866.5 KiB/s |  40.7 KiB |  00m00s
[135/153] libffi-0:3.4.4-7.fc40.x86_64  100% | 262.4 KiB/s |  39.4 KiB |  00m00s
[136/153] fedora-release-0:40-40.noarch 100% | 182.5 KiB/s |  11.0 KiB |  00m00s
[137/153] binutils-gold-0:2.41-38.fc40. 100% |  11.4 MiB/s | 782.0 KiB |  00m00s
[138/153] xxhash-libs-0:0.8.2-4.fc40.x8 100% | 900.4 KiB/s |  36.9 KiB |  00m00s
[139/153] fedora-release-identity-basic 100% | 160.7 KiB/s |  11.7 KiB |  00m00s
[140/153] gdb-minimal-0:15.2-3.fc40.x86 100% |  20.4 MiB/s |   4.3 MiB |  00m00s
[141/153] libcurl-0:8.6.0-10.fc40.x86_6 100% |   2.0 MiB/s | 344.8 KiB |  00m00s
[142/153] libidn2-0:2.3.7-1.fc40.x86_64 100% |   2.1 MiB/s | 118.7 KiB |  00m00s
[143/153] libpsl-0:0.21.5-3.fc40.x86_64 100% |   1.6 MiB/s |  63.9 KiB |  00m00s
[144/153] openldap-0:2.6.7-1.fc40.x86_6 100% |   5.5 MiB/s | 254.3 KiB |  00m00s
[145/153] libssh-0:0.10.6-5.fc40.x86_64 100% |   3.2 MiB/s | 210.6 KiB |  00m00s
[146/153] libunistring-0:1.1-7.fc40.x86 100% |   9.3 MiB/s | 545.5 KiB |  00m00s
[147/153] publicsuffix-list-dafsa-0:202 100% |   1.2 MiB/s |  58.1 KiB |  00m00s
[148/153] libssh-config-0:0.10.6-5.fc40 100% | 220.2 KiB/s |   9.0 KiB |  00m00s
[149/153] libevent-0:2.1.12-12.fc40.x86 100% |   4.7 MiB/s | 257.2 KiB |  00m00s
[150/153] libtool-ltdl-0:2.4.7-10.fc40. 100% | 951.5 KiB/s |  36.2 KiB |  00m00s
[151/153] cyrus-sasl-lib-0:2.1.28-19.fc 100% |   5.8 MiB/s | 789.3 KiB |  00m00s
[152/153] libnghttp2-0:1.59.0-3.fc40.x8 100% |   1.2 MiB/s |  75.3 KiB |  00m00s
[153/153] libbrotli-0:1.1.0-3.fc40.x86_ 100% | 702.1 KiB/s | 338.4 KiB |  00m00s
--------------------------------------------------------------------------------
[153/153] Total                         100% |  10.5 MiB/s |  52.8 MiB |  00m05s
Running transaction
Importing OpenPGP key 0xA15B79CC:
 UserID     : "Fedora (40) <fedora-40-primary@fedoraproject.org>"
 Fingerprint: 115DF9AEF857853EE8445D0A0727707EA15B79CC
 From       : file:///usr/share/distribution-gpg-keys/fedora/RPM-GPG-KEY-fedora-40-primary
The key was successfully imported.
[  1/155] Verify package files          100% | 714.0   B/s | 153.0   B |  00m00s
[  2/155] Prepare transaction           100% |   1.8 KiB/s | 153.0   B |  00m00s
[  3/155] Installing libgcc-0:14.2.1-3. 100% |  89.9 MiB/s | 276.3 KiB |  00m00s
[  4/155] Installing crypto-policies-0: 100% |  16.9 MiB/s | 190.6 KiB |  00m00s
[  5/155] Installing libssh-config-0:0. 100% |   0.0   B/s | 816.0   B |  00m00s
[  6/155] Installing publicsuffix-list- 100% |  66.7 MiB/s |  68.3 KiB |  00m00s
[  7/155] Installing fedora-release-ide 100% | 890.6 KiB/s | 912.0   B |  00m00s
[  8/155] Installing fedora-gpg-keys-0: 100% |  18.4 MiB/s | 169.7 KiB |  00m00s
[  9/155] Installing fedora-repos-0:40- 100% |   0.0   B/s |   5.7 KiB |  00m00s
[ 10/155] Installing fedora-release-com 100% |  11.4 MiB/s |  23.4 KiB |  00m00s
[ 11/155] Installing fedora-release-0:4 100% |   0.0   B/s | 124.0   B |  00m00s
[ 12/155] Installing setup-0:2.14.5-2.f 100% |  47.3 MiB/s | 725.8 KiB |  00m00s
>>> [RPM] /etc/hosts created as /etc/hosts.rpmnew
[ 13/155] Installing filesystem-0:3.18- 100% |   1.6 MiB/s | 212.4 KiB |  00m00s
[ 14/155] Installing basesystem-0:11-20 100% |   0.0   B/s | 124.0   B |  00m00s
[ 15/155] Installing rust-srpm-macros-0 100% |   0.0   B/s |   5.6 KiB |  00m00s
[ 16/155] Installing qt6-srpm-macros-0: 100% |   0.0   B/s | 732.0   B |  00m00s
[ 17/155] Installing qt5-srpm-macros-0: 100% |   0.0   B/s | 776.0   B |  00m00s
[ 18/155] Installing ghc-srpm-macros-0: 100% |   0.0   B/s |   1.0 KiB |  00m00s
[ 19/155] Installing ansible-srpm-macro 100% |  35.4 MiB/s |  36.2 KiB |  00m00s
[ 20/155] Installing pcre2-syntax-0:10. 100% | 124.1 MiB/s | 254.1 KiB |  00m00s
[ 21/155] Installing pkgconf-m4-0:2.1.1 100% |  14.0 MiB/s |  14.3 KiB |  00m00s
[ 22/155] Installing ncurses-base-0:6.4 100% |  34.3 MiB/s | 351.6 KiB |  00m00s
[ 23/155] Installing glibc-minimal-lang 100% |   0.0   B/s | 124.0   B |  00m00s
[ 24/155] Installing ncurses-libs-0:6.4 100% | 135.3 MiB/s | 969.7 KiB |  00m00s
warning: posix.fork(): .fork(), .exec(), .wait() and .redirect2null() are deprecated, use rpm.spawn() or rpm.execute() instead
warning: posix.wait(): .fork(), .exec(), .wait() and .redirect2null() are deprecated, use rpm.spawn() or rpm.execute() instead
warning: posix.exec(): .fork(), .exec(), .wait() and .redirect2null() are deprecated, use rpm.spawn() or rpm.execute() instead
warning: posix.fork(): .fork(), .exec(), .wait() and .redirect2null() are deprecated, use rpm.spawn() or rpm.execute() instead
warning: posix.wait(): .fork(), .exec(), .wait() and .redirect2null() are deprecated, use rpm.spawn() or rpm.execute() instead
warning: posix.exec(): .fork(), .exec(), .wait() and .redirect2null() are deprecated, use rpm.spawn() or rpm.execute() instead
[ 25/155] Installing glibc-0:2.39-30.fc 100% | 120.8 MiB/s |   6.6 MiB |  00m00s
[ 26/155] Installing bash-0:5.2.26-3.fc 100% | 255.0 MiB/s |   8.2 MiB |  00m00s
[ 27/155] Installing glibc-common-0:2.3 100% | 128.5 MiB/s |   1.0 MiB |  00m00s
warning: posix.fork(): .fork(), .exec(), .wait() and .redirect2null() are deprecated, use rpm.spawn() or rpm.execute() instead
warning: posix.wait(): .fork(), .exec(), .wait() and .redirect2null() are deprecated, use rpm.spawn() or rpm.execute() instead
warning: posix.exec(): .fork(), .exec(), .wait() and .redirect2null() are deprecated, use rpm.spawn() or rpm.execute() instead
[ 28/155] Installing glibc-gconv-extra- 100% | 121.3 MiB/s |   7.9 MiB |  00m00s
[ 29/155] Installing zlib-ng-compat-0:2 100% |  65.8 MiB/s | 134.8 KiB |  00m00s
[ 30/155] Installing xz-libs-1:5.4.6-3. 100% | 206.0 MiB/s | 210.9 KiB |  00m00s
[ 31/155] Installing bzip2-libs-0:1.0.8 100% |  79.9 MiB/s |  81.8 KiB |  00m00s
[ 32/155] Installing popt-0:1.19-6.fc40 100% |  28.0 MiB/s | 143.5 KiB |  00m00s
[ 33/155] Installing readline-0:8.2-8.f 100% | 160.0 MiB/s | 491.4 KiB |  00m00s
[ 34/155] Installing libzstd-0:1.5.6-1. 100% | 256.9 MiB/s | 789.2 KiB |  00m00s
[ 35/155] Installing elfutils-libelf-0: 100% | 234.0 MiB/s |   1.2 MiB |  00m00s
[ 36/155] Installing libstdc++-0:14.2.1 100% | 251.5 MiB/s |   2.8 MiB |  00m00s
[ 37/155] Installing libuuid-0:2.40.2-1 100% |  37.7 MiB/s |  38.6 KiB |  00m00s
[ 38/155] Installing libblkid-0:2.40.2- 100% | 253.6 MiB/s | 259.7 KiB |  00m00s
[ 39/155] Installing libattr-0:2.5.2-3. 100% |  28.8 MiB/s |  29.5 KiB |  00m00s
[ 40/155] Installing libacl-0:2.3.2-1.f 100% |  39.9 MiB/s |  40.8 KiB |  00m00s
[ 41/155] Installing gmp-1:6.2.1-8.fc40 100% | 194.5 MiB/s | 796.8 KiB |  00m00s
[ 42/155] Installing libxcrypt-0:4.4.36 100% | 131.9 MiB/s | 270.2 KiB |  00m00s
[ 43/155] Installing lz4-libs-0:1.9.4-6 100% | 127.4 MiB/s | 130.5 KiB |  00m00s
[ 44/155] Installing gdbm-libs-1:1.23-6 100% | 120.7 MiB/s | 123.6 KiB |  00m00s
[ 45/155] Installing libeconf-0:0.6.2-2 100% |  58.3 MiB/s |  59.6 KiB |  00m00s
[ 46/155] Installing mpfr-0:4.2.1-4.fc4 100% | 203.5 MiB/s | 833.7 KiB |  00m00s
[ 47/155] Installing gawk-0:5.3.0-3.fc4 100% | 172.8 MiB/s |   1.7 MiB |  00m00s
[ 48/155] Installing dwz-0:0.15-8.fc40. 100% | 144.7 MiB/s | 296.3 KiB |  00m00s
[ 49/155] Installing unzip-0:6.0-63.fc4 100% | 125.8 MiB/s | 386.3 KiB |  00m00s
[ 50/155] Installing file-libs-0:5.45-4 100% | 472.9 MiB/s |   9.9 MiB |  00m00s
[ 51/155] Installing file-0:5.45-4.fc40 100% | 102.6 MiB/s | 105.0 KiB |  00m00s
[ 52/155] Installing libcap-ng-0:0.8.4- 100% |  73.2 MiB/s |  75.0 KiB |  00m00s
[ 53/155] Installing audit-libs-0:4.0.2 100% | 160.8 MiB/s | 329.3 KiB |  00m00s
[ 54/155] Installing pam-libs-0:1.6.1-5 100% |  67.1 MiB/s | 137.4 KiB |  00m00s
[ 55/155] Installing libcap-0:2.69-8.fc 100% |  73.2 MiB/s | 224.8 KiB |  00m00s
[ 56/155] Installing systemd-libs-0:255 100% | 242.3 MiB/s |   1.9 MiB |  00m00s
[ 57/155] Installing lua-libs-0:5.4.6-5 100% | 137.8 MiB/s | 282.3 KiB |  00m00s
[ 58/155] Installing libsepol-0:3.7-2.f 100% | 266.5 MiB/s | 818.8 KiB |  00m00s
[ 59/155] Installing jansson-0:2.13.1-9 100% |  87.6 MiB/s |  89.7 KiB |  00m00s
[ 60/155] Installing pcre2-0:10.44-1.fc 100% | 213.2 MiB/s | 654.9 KiB |  00m00s
[ 61/155] Installing libselinux-0:3.7-5 100% |  87.0 MiB/s | 178.3 KiB |  00m00s
[ 62/155] Installing sed-0:4.9-1.fc40.x 100% | 121.3 MiB/s | 869.7 KiB |  00m00s
[ 63/155] Installing grep-0:3.11-7.fc40 100% | 111.5 MiB/s |   1.0 MiB |  00m00s
[ 64/155] Installing findutils-1:4.9.0- 100% | 146.6 MiB/s |   1.5 MiB |  00m00s
[ 65/155] Installing xz-1:5.4.6-3.fc40. 100% | 143.0 MiB/s |   2.0 MiB |  00m00s
[ 66/155] Installing libmount-0:2.40.2- 100% | 174.3 MiB/s | 356.9 KiB |  00m00s
[ 67/155] Installing libsmartcols-0:2.4 100% | 177.3 MiB/s | 181.5 KiB |  00m00s
[ 68/155] Installing libcom_err-0:1.47. 100% |  33.4 MiB/s |  68.3 KiB |  00m00s
[ 69/155] Installing libffi-0:3.4.4-7.f 100% |  81.0 MiB/s |  83.0 KiB |  00m00s
[ 70/155] Installing libtasn1-0:4.19.0- 100% |  86.7 MiB/s | 177.5 KiB |  00m00s
[ 71/155] Installing p11-kit-0:0.25.5-1 100% | 147.2 MiB/s |   2.2 MiB |  00m00s
[ 72/155] Installing alternatives-0:1.2 100% |  66.4 MiB/s |  68.0 KiB |  00m00s
[ 73/155] Installing libunistring-0:1.1 100% | 288.5 MiB/s |   1.7 MiB |  00m00s
[ 74/155] Installing libidn2-0:2.3.7-1. 100% |  65.4 MiB/s | 335.0 KiB |  00m00s
[ 75/155] Installing libpsl-0:0.21.5-3. 100% |  79.7 MiB/s |  81.6 KiB |  00m00s
[ 76/155] Installing p11-kit-trust-0:0. 100% |  20.2 MiB/s | 393.1 KiB |  00m00s
[ 77/155] Installing util-linux-core-0: 100% | 114.3 MiB/s |   1.5 MiB |  00m00s
[ 78/155] Installing tar-2:1.35-3.fc40. 100% | 210.8 MiB/s |   3.0 MiB |  00m00s
[ 79/155] Installing libsemanage-0:3.7- 100% |  96.1 MiB/s | 295.2 KiB |  00m00s
[ 80/155] Installing shadow-utils-2:4.1 100% |  69.6 MiB/s |   4.2 MiB |  00m00s
[ 81/155] Installing libutempter-0:1.2. 100% |  29.2 MiB/s |  59.7 KiB |  00m00s
[ 82/155] Installing zip-0:3.0-40.fc40. 100% | 138.1 MiB/s | 707.1 KiB |  00m00s
[ 83/155] Installing gdbm-1:1.23-6.fc40 100% | 113.7 MiB/s | 465.8 KiB |  00m00s
[ 84/155] Installing cyrus-sasl-lib-0:2 100% | 228.3 MiB/s |   2.3 MiB |  00m00s
[ 85/155] Installing zstd-0:1.5.6-1.fc4 100% | 279.3 MiB/s |   1.7 MiB |  00m00s
[ 86/155] Installing libfdisk-0:2.40.2- 100% | 177.7 MiB/s | 364.0 KiB |  00m00s
[ 87/155] Installing bzip2-0:1.0.8-18.f 100% |  47.0 MiB/s |  96.2 KiB |  00m00s
[ 88/155] Installing libxml2-0:2.12.8-1 100% | 244.6 MiB/s |   1.7 MiB |  00m00s
[ 89/155] Installing sqlite-libs-0:3.45 100% | 280.3 MiB/s |   1.4 MiB |  00m00s
[ 90/155] Installing ed-0:1.20.2-1.fc40 100% |  72.8 MiB/s | 149.2 KiB |  00m00s
[ 91/155] Installing patch-0:2.7.6-24.f 100% | 129.0 MiB/s | 264.3 KiB |  00m00s
[ 92/155] Installing elfutils-default-y 100% | 136.2 KiB/s |   2.0 KiB |  00m00s
[ 93/155] Installing elfutils-libs-0:0. 100% | 164.1 MiB/s | 672.2 KiB |  00m00s
[ 94/155] Installing cpio-0:2.15-1.fc40 100% | 157.1 MiB/s |   1.1 MiB |  00m00s
[ 95/155] Installing diffutils-0:3.10-5 100% | 176.2 MiB/s |   1.6 MiB |  00m00s
[ 96/155] Installing json-c-0:0.17-3.fc 100% |  81.7 MiB/s |  83.6 KiB |  00m00s
[ 97/155] Installing libgomp-0:14.2.1-3 100% | 256.3 MiB/s | 525.0 KiB |  00m00s
[ 98/155] Installing libpkgconf-0:2.1.1 100% |  73.5 MiB/s |  75.3 KiB |  00m00s
[ 99/155] Installing pkgconf-0:2.1.1-2. 100% |  41.7 MiB/s |  85.4 KiB |  00m00s
[100/155] Installing pkgconf-pkg-config 100% |   1.7 MiB/s |   1.8 KiB |  00m00s
[101/155] Installing keyutils-libs-0:1. 100% |  54.5 MiB/s |  55.8 KiB |  00m00s
[102/155] Installing libverto-0:0.3.2-8 100% |  30.5 MiB/s |  31.3 KiB |  00m00s
[103/155] Installing xxhash-libs-0:0.8. 100% |  87.7 MiB/s |  89.9 KiB |  00m00s
[104/155] Installing libbrotli-0:1.1.0- 100% | 203.1 MiB/s | 831.8 KiB |  00m00s
[105/155] Installing libtool-ltdl-0:2.4 100% |  65.7 MiB/s |  67.3 KiB |  00m00s
[106/155] Installing libnghttp2-0:1.59. 100% | 163.3 MiB/s | 167.2 KiB |  00m00s
[107/155] Installing perl-srpm-macros-0 100% |   0.0   B/s |   1.1 KiB |  00m00s
[108/155] Installing package-notes-srpm 100% |   0.0   B/s |   2.0 KiB |  00m00s
[109/155] Installing openblas-srpm-macr 100% |   0.0   B/s | 384.0   B |  00m00s
[110/155] Installing ocaml-srpm-macros- 100% |   0.0   B/s |   2.2 KiB |  00m00s
[111/155] Installing kernel-srpm-macros 100% |   0.0   B/s |   2.3 KiB |  00m00s
[112/155] Installing gnat-srpm-macros-0 100% |   0.0   B/s |   1.3 KiB |  00m00s
[113/155] Installing fpc-srpm-macros-0: 100% | 410.2 KiB/s | 420.0   B |  00m00s
[114/155] Installing coreutils-common-0 100% | 249.2 MiB/s |  11.5 MiB |  00m00s
[115/155] Installing openssl-libs-1:3.2 100% | 313.0 MiB/s |   7.8 MiB |  00m00s
[116/155] Installing coreutils-0:9.4-9. 100% | 138.7 MiB/s |   5.8 MiB |  00m00s
[117/155] Installing ca-certificates-0: 100% |   2.5 MiB/s |   2.4 MiB |  00m01s
[118/155] Installing krb5-libs-0:1.21.3 100% | 177.5 MiB/s |   2.3 MiB |  00m00s
[119/155] Installing libtirpc-0:1.3.6-1 100% |  99.9 MiB/s | 204.5 KiB |  00m00s
[120/155] Installing gzip-0:1.13-1.fc40 100% |  95.4 MiB/s | 390.6 KiB |  00m00s
[121/155] Installing authselect-libs-0: 100% |  74.0 MiB/s | 833.2 KiB |  00m00s
[122/155] Installing libarchive-0:3.7.2 100% | 180.6 MiB/s | 924.5 KiB |  00m00s
[123/155] Installing authselect-0:1.5.0 100% |  38.6 MiB/s | 157.9 KiB |  00m00s
[124/155] Installing cracklib-0:2.9.11- 100% |  34.9 MiB/s | 250.3 KiB |  00m00s
[125/155] Installing libpwquality-0:1.4 100% |  46.7 MiB/s | 430.1 KiB |  00m00s
[126/155] Installing libnsl2-0:2.0.1-1. 100% |  28.8 MiB/s |  59.0 KiB |  00m00s
[127/155] Installing pam-0:1.6.1-5.fc40 100% |  75.8 MiB/s |   1.8 MiB |  00m00s
[128/155] Installing libssh-0:0.10.6-5. 100% | 166.5 MiB/s | 511.4 KiB |  00m00s
[129/155] Installing rpm-sequoia-0:1.7. 100% | 266.0 MiB/s |   2.4 MiB |  00m00s
[130/155] Installing rpm-libs-0:4.19.1. 100% | 173.7 MiB/s | 711.4 KiB |  00m00s
[131/155] Installing rpm-build-libs-0:4 100% |  97.3 MiB/s | 199.2 KiB |  00m00s
[132/155] Installing libevent-0:2.1.12- 100% | 219.6 MiB/s | 899.4 KiB |  00m00s
[133/155] Installing openldap-0:2.6.7-1 100% | 156.0 MiB/s | 638.9 KiB |  00m00s
[134/155] Installing libcurl-0:8.6.0-10 100% | 189.9 MiB/s | 777.9 KiB |  00m00s
[135/155] Installing elfutils-debuginfo 100% |  40.2 MiB/s |  82.4 KiB |  00m00s
[136/155] Installing binutils-0:2.41-38 100% | 262.1 MiB/s |  26.5 MiB |  00m00s
[137/155] Installing binutils-gold-0:2. 100% |  89.0 MiB/s |   2.0 MiB |  00m00s
[138/155] Installing elfutils-0:0.192-7 100% | 204.6 MiB/s |   2.7 MiB |  00m00s
[139/155] Installing gdb-minimal-0:15.2 100% | 316.9 MiB/s |  13.0 MiB |  00m00s
[140/155] Installing debugedit-0:5.0-18 100% |  65.8 MiB/s | 202.0 KiB |  00m00s
[141/155] Installing curl-0:8.6.0-10.fc 100% |  30.1 MiB/s | 740.9 KiB |  00m00s
[142/155] Installing rpm-0:4.19.1.1-1.f 100% |  82.6 MiB/s |   2.4 MiB |  00m00s
[143/155] Installing efi-srpm-macros-0: 100% |  40.2 MiB/s |  41.2 KiB |  00m00s
[144/155] Installing lua-srpm-macros-0: 100% |   0.0   B/s |   1.9 KiB |  00m00s
[145/155] Installing zig-srpm-macros-0: 100% |   0.0   B/s |   1.7 KiB |  00m00s
[146/155] Installing fonts-srpm-macros- 100% |  55.1 MiB/s |  56.5 KiB |  00m00s
[147/155] Installing go-srpm-macros-0:3 100% |  60.2 MiB/s |  61.6 KiB |  00m00s
[148/155] Installing forge-srpm-macros- 100% |  39.4 MiB/s |  40.4 KiB |  00m00s
[149/155] Installing python-srpm-macros 100% |  50.6 MiB/s |  51.8 KiB |  00m00s
[150/155] Installing redhat-rpm-config- 100% |  46.9 MiB/s | 191.9 KiB |  00m00s
[151/155] Installing rpm-build-0:4.19.1 100% |  44.4 MiB/s | 182.0 KiB |  00m00s
[152/155] Installing pyproject-srpm-mac 100% |   1.2 MiB/s |   2.5 KiB |  00m00s
[153/155] Installing util-linux-0:2.40. 100% |  79.8 MiB/s |   3.7 MiB |  00m00s
[154/155] Installing which-0:2.21-41.fc 100% |  40.3 MiB/s |  82.4 KiB |  00m00s
warning: posix.fork(): .fork(), .exec(), .wait() and .redirect2null() are deprecated, use rpm.spawn() or rpm.execute() instead
warning: posix.wait(): .fork(), .exec(), .wait() and .redirect2null() are deprecated, use rpm.spawn() or rpm.execute() instead
warning: posix.exec(): .fork(), .exec(), .wait() and .redirect2null() are deprecated, use rpm.spawn() or rpm.execute() instead
[155/155] Installing info-0:7.1-2.fc40. 100% | 272.0 KiB/s | 358.2 KiB |  00m01s
Complete!
Finish: installing minimal buildroot with dnf5
Start: creating root cache
Finish: creating root cache
Finish: chroot init
INFO: Installed packages:
INFO: alternatives-1.27-1.fc40.x86_64
ansible-srpm-macros-1-16.fc40.noarch
audit-libs-4.0.2-1.fc40.x86_64
authselect-1.5.0-6.fc40.x86_64
authselect-libs-1.5.0-6.fc40.x86_64
basesystem-11-20.fc40.noarch
bash-5.2.26-3.fc40.x86_64
binutils-2.41-38.fc40.x86_64
binutils-gold-2.41-38.fc40.x86_64
bzip2-1.0.8-18.fc40.x86_64
bzip2-libs-1.0.8-18.fc40.x86_64
ca-certificates-2024.2.69_v8.0.401-1.0.fc40.noarch
coreutils-9.4-9.fc40.x86_64
coreutils-common-9.4-9.fc40.x86_64
cpio-2.15-1.fc40.x86_64
cracklib-2.9.11-5.fc40.x86_64
crypto-policies-20241011-1.git5930b9a.fc40.noarch
curl-8.6.0-10.fc40.x86_64
cyrus-sasl-lib-2.1.28-19.fc40.x86_64
debugedit-5.0-18.fc40.x86_64
diffutils-3.10-5.fc40.x86_64
dwz-0.15-8.fc40.x86_64
ed-1.20.2-1.fc40.x86_64
efi-srpm-macros-5-11.fc40.noarch
elfutils-0.192-7.fc40.x86_64
elfutils-debuginfod-client-0.192-7.fc40.x86_64
elfutils-default-yama-scope-0.192-7.fc40.noarch
elfutils-libelf-0.192-7.fc40.x86_64
elfutils-libs-0.192-7.fc40.x86_64
fedora-gpg-keys-40-2.noarch
fedora-release-40-40.noarch
fedora-release-common-40-40.noarch
fedora-release-identity-basic-40-40.noarch
fedora-repos-40-2.noarch
file-5.45-4.fc40.x86_64
file-libs-5.45-4.fc40.x86_64
filesystem-3.18-8.fc40.x86_64
findutils-4.9.0-9.fc40.x86_64
fonts-srpm-macros-2.0.5-14.fc40.noarch
forge-srpm-macros-0.3.2-1.fc40.noarch
fpc-srpm-macros-1.3-12.fc40.noarch
gawk-5.3.0-3.fc40.x86_64
gdb-minimal-15.2-3.fc40.x86_64
gdbm-1.23-6.fc40.x86_64
gdbm-libs-1.23-6.fc40.x86_64
ghc-srpm-macros-1.9.1-1.fc40.noarch
glibc-2.39-30.fc40.x86_64
glibc-common-2.39-30.fc40.x86_64
glibc-gconv-extra-2.39-30.fc40.x86_64
glibc-minimal-langpack-2.39-30.fc40.x86_64
gmp-6.2.1-8.fc40.x86_64
gnat-srpm-macros-6-5.fc40.noarch
go-srpm-macros-3.5.0-1.fc40.noarch
gpg-pubkey-a15b79cc-63d04c2c
grep-3.11-7.fc40.x86_64
gzip-1.13-1.fc40.x86_64
info-7.1-2.fc40.x86_64
jansson-2.13.1-9.fc40.x86_64
json-c-0.17-3.fc40.x86_64
kernel-srpm-macros-1.0-23.fc40.noarch
keyutils-libs-1.6.3-3.fc40.x86_64
krb5-libs-1.21.3-2.fc40.x86_64
libacl-2.3.2-1.fc40.x86_64
libarchive-3.7.2-7.fc40.x86_64
libattr-2.5.2-3.fc40.x86_64
libblkid-2.40.2-1.fc40.x86_64
libbrotli-1.1.0-3.fc40.x86_64
libcap-2.69-8.fc40.x86_64
libcap-ng-0.8.4-4.fc40.x86_64
libcom_err-1.47.0-5.fc40.x86_64
libcurl-8.6.0-10.fc40.x86_64
libeconf-0.6.2-2.fc40.x86_64
libevent-2.1.12-12.fc40.x86_64
libfdisk-2.40.2-1.fc40.x86_64
libffi-3.4.4-7.fc40.x86_64
libgcc-14.2.1-3.fc40.x86_64
libgomp-14.2.1-3.fc40.x86_64
libidn2-2.3.7-1.fc40.x86_64
libmount-2.40.2-1.fc40.x86_64
libnghttp2-1.59.0-3.fc40.x86_64
libnsl2-2.0.1-1.fc40.x86_64
libpkgconf-2.1.1-2.fc40.x86_64
libpsl-0.21.5-3.fc40.x86_64
libpwquality-1.4.5-9.fc40.x86_64
libselinux-3.7-5.fc40.x86_64
libsemanage-3.7-2.fc40.x86_64
libsepol-3.7-2.fc40.x86_64
libsmartcols-2.40.2-1.fc40.x86_64
libssh-0.10.6-5.fc40.x86_64
libssh-config-0.10.6-5.fc40.noarch
libstdc++-14.2.1-3.fc40.x86_64
libtasn1-4.19.0-6.fc40.x86_64
libtirpc-1.3.6-1.fc40.x86_64
libtool-ltdl-2.4.7-10.fc40.x86_64
libunistring-1.1-7.fc40.x86_64
libutempter-1.2.1-13.fc40.x86_64
libuuid-2.40.2-1.fc40.x86_64
libverto-0.3.2-8.fc40.x86_64
libxcrypt-4.4.36-11.fc40.x86_64
libxml2-2.12.8-1.fc40.x86_64
libzstd-1.5.6-1.fc40.x86_64
lua-libs-5.4.6-5.fc40.x86_64
lua-srpm-macros-1-13.fc40.noarch
lz4-libs-1.9.4-6.fc40.x86_64
mpfr-4.2.1-4.fc40.x86_64
ncurses-base-6.4-12.20240127.fc40.noarch
ncurses-libs-6.4-12.20240127.fc40.x86_64
ocaml-srpm-macros-9-3.fc40.noarch
openblas-srpm-macros-2-16.fc40.noarch
openldap-2.6.7-1.fc40.x86_64
openssl-libs-3.2.2-3.fc40.x86_64
p11-kit-0.25.5-1.fc40.x86_64
p11-kit-trust-0.25.5-1.fc40.x86_64
package-notes-srpm-macros-0.5-11.fc40.noarch
pam-1.6.1-5.fc40.x86_64
pam-libs-1.6.1-5.fc40.x86_64
patch-2.7.6-24.fc40.x86_64
pcre2-10.44-1.fc40.x86_64
pcre2-syntax-10.44-1.fc40.noarch
perl-srpm-macros-1-53.fc40.noarch
pkgconf-2.1.1-2.fc40.x86_64
pkgconf-m4-2.1.1-2.fc40.noarch
pkgconf-pkg-config-2.1.1-2.fc40.x86_64
popt-1.19-6.fc40.x86_64
publicsuffix-list-dafsa-20240107-3.fc40.noarch
pyproject-srpm-macros-1.16.3-1.fc40.noarch
python-srpm-macros-3.12-8.fc40.noarch
qt5-srpm-macros-5.15.15-1.fc40.noarch
qt6-srpm-macros-6.7.2-2.fc40.noarch
readline-8.2-8.fc40.x86_64
redhat-rpm-config-288-1.fc40.noarch
rpm-4.19.1.1-1.fc40.x86_64
rpm-build-4.19.1.1-1.fc40.x86_64
rpm-build-libs-4.19.1.1-1.fc40.x86_64
rpm-libs-4.19.1.1-1.fc40.x86_64
rpm-sequoia-1.7.0-3.fc40.x86_64
rust-srpm-macros-26.3-1.fc40.noarch
sed-4.9-1.fc40.x86_64
setup-2.14.5-2.fc40.noarch
shadow-utils-4.15.1-4.fc40.x86_64
sqlite-libs-3.45.1-2.fc40.x86_64
systemd-libs-255.15-1.fc40.x86_64
tar-1.35-3.fc40.x86_64
unzip-6.0-63.fc40.x86_64
util-linux-2.40.2-1.fc40.x86_64
util-linux-core-2.40.2-1.fc40.x86_64
which-2.21-41.fc40.x86_64
xxhash-libs-0.8.2-4.fc40.x86_64
xz-5.4.6-3.fc40.x86_64
xz-libs-5.4.6-3.fc40.x86_64
zig-srpm-macros-1-2.fc40.noarch
zip-3.0-40.fc40.x86_64
zlib-ng-compat-2.1.7-2.fc40.x86_64
zstd-1.5.6-1.fc40.x86_64
Start: buildsrpm
Start: rpmbuild -bs
warning: source_date_epoch_from_changelog set but %changelog is missing
Building target platforms: x86_64
Building for target x86_64
Wrote: /builddir/build/SRPMS/R-CRAN-ravetools-0.2.0-1.fc40.copr8401833.src.rpm

RPM build warnings:
    source_date_epoch_from_changelog set but %changelog is missing
Finish: rpmbuild -bs
INFO: chroot_scan: 1 files copied to /var/lib/copr-rpmbuild/results/chroot_scan
INFO: /var/lib/mock/fedora-40-x86_64-1734400461.336274/root/var/log/dnf5.log
INFO: chroot_scan: creating tarball /var/lib/copr-rpmbuild/results/chroot_scan.tar.gz
/bin/tar: Removing leading `/' from member names
Finish: buildsrpm
INFO: Done(/var/lib/copr-rpmbuild/workspace/workdir-onvmiqyz/R-CRAN-ravetools/R-CRAN-ravetools.spec) Config(child) 0 minutes 24 seconds
INFO: Results and/or logs in: /var/lib/copr-rpmbuild/results
INFO: Cleaning up build root ('cleanup_on_success=True')
Start: clean chroot
INFO: unmounting tmpfs.
Finish: clean chroot
INFO: Start(/var/lib/copr-rpmbuild/results/R-CRAN-ravetools-0.2.0-1.fc40.copr8401833.src.rpm)  Config(fedora-40-x86_64)
Start: chroot init
INFO: mounting tmpfs at /var/lib/mock/fedora-40-x86_64-1734400461.336274/root.
INFO: calling preinit hooks
INFO: enabled root cache
Start: unpacking root cache
Finish: unpacking root cache
INFO: enabled package manager cache
Start: cleaning package manager metadata
Finish: cleaning package manager metadata
INFO: enabled HW Info plugin
INFO: Buildroot is handled by package management from host and used with --installroot:
  rpm-4.20.0-1.fc41.x86_64
  rpm-sequoia-1.7.0-2.fc41.x86_64
  python3-dnf-4.22.0-1.fc41.noarch
  python3-dnf-plugins-core-4.10.0-1.fc41.noarch
  dnf5-5.2.8.1-2.fc41.x86_64
  dnf5-plugins-5.2.8.1-2.fc41.x86_64
Finish: chroot init
Start: build phase for R-CRAN-ravetools-0.2.0-1.fc40.copr8401833.src.rpm
Start: build setup for R-CRAN-ravetools-0.2.0-1.fc40.copr8401833.src.rpm
warning: source_date_epoch_from_changelog set but %changelog is missing
Building target platforms: x86_64
Building for target x86_64
Wrote: /builddir/build/SRPMS/R-CRAN-ravetools-0.2.0-1.fc40.copr8401833.src.rpm

RPM build warnings:
    source_date_epoch_from_changelog set but %changelog is missing
Updating and loading repositories:
 fedora                                 100% |   1.2 MiB/s |  32.1 KiB |  00m00s
 updates                                100% | 955.0 KiB/s |  31.5 KiB |  00m00s
 Copr repository                        100% |  22.0 KiB/s |   1.5 KiB |  00m00s
 Copr repository                        100% |  31.9 MiB/s |  12.3 MiB |  00m00s
Repositories loaded.
Package                      Arch   Version                          Repository      Size
Installing:
 R-CRAN-R6                   noarch 2.5.1-1.fc40.copr7349938         copr_base  115.9 KiB
 R-CRAN-RNiftyReg            x86_64 2.8.4-1.fc40.copr8094235         copr_base    4.3 MiB
 R-CRAN-Rcpp                 x86_64 1.0.13.1-1.fc40.copr8204071      copr_base    8.4 MiB
 R-CRAN-RcppEigen            x86_64 0.3.4.0.2-1.fc40.copr8100507     copr_base    9.0 MiB
 R-CRAN-digest               x86_64 0.6.37-1.fc40.copr7936834        copr_base  495.4 KiB
 R-CRAN-filearray            x86_64 0.1.9-1.fc40.copr8232794         copr_base    1.0 MiB
 R-CRAN-gsignal              x86_64 0.3.7-1.fc40.copr8010565         copr_base    3.2 MiB
 R-CRAN-pracma               noarch 2.4.4-1.fc40.copr7350224         copr_base    2.8 MiB
 R-CRAN-waveslim             x86_64 1.8.5-1.fc40.copr7531100         copr_base    1.0 MiB
 R-core                      x86_64 4.4.2-1.fc40                     updates    101.7 MiB
 R-devel                     x86_64 4.4.2-1.fc40                     updates      0.0   B
 fftw-devel                  x86_64 3.3.10-12.fc40                   updates    284.2 KiB
Installing dependencies:
 R-CRAN-RNifti               x86_64 1.7.0-1.fc40.copr8100512         copr_base    1.6 MiB
 R-CRAN-fastmap              x86_64 1.2.0-1.fc40.copr7447859         copr_base  108.5 KiB
 R-CRAN-multitaper           x86_64 1.0.17-1.fc40.copr7350305        copr_base  369.8 KiB
 R-CRAN-uuid                 x86_64 1.2.1-1.fc40.copr7803040         copr_base   96.6 KiB
 R-core-devel                x86_64 4.4.2-1.fc40                     updates    395.8 KiB
 R-java                      x86_64 4.4.2-1.fc40                     updates      0.0   B
 R-java-devel                x86_64 4.4.2-1.fc40                     updates      0.0   B
 R-littler                   x86_64 0.3.19-4.fc40                    updates    157.9 KiB
 R-rpm-macros                noarch 1.2.1-10.fc40                    updates      5.6 KiB
 abattis-cantarell-vf-fonts  noarch 0.301-12.fc40                    fedora     192.7 KiB
 alsa-lib                    x86_64 1.2.13-3.fc40                    updates      1.4 MiB
 annobin-docs                noarch 12.60-1.fc40                     updates     96.2 KiB
 annobin-plugin-gcc          x86_64 12.60-1.fc40                     updates    976.2 KiB
 avahi-libs                  x86_64 0.8-26.fc40                      fedora     166.3 KiB
 brotli                      x86_64 1.1.0-3.fc40                     fedora      31.8 KiB
 brotli-devel                x86_64 1.1.0-3.fc40                     fedora      65.6 KiB
 bzip2-devel                 x86_64 1.0.8-18.fc40                    fedora     309.8 KiB
 cairo                       x86_64 1.18.0-3.fc40                    fedora       1.7 MiB
 cairo-devel                 x86_64 1.18.0-3.fc40                    fedora       2.3 MiB
 cmake-filesystem            x86_64 3.30.5-1.fc40                    updates      0.0   B
 copy-jdk-configs            noarch 4.1-5.fc40                       fedora      20.3 KiB
 cpp                         x86_64 14.2.1-3.fc40                    updates     35.0 MiB
 crypto-policies-scripts     noarch 20241011-1.git5930b9a.fc40       updates    353.5 KiB
 cups-filesystem             noarch 1:2.4.11-8.fc40                  updates      0.0   B
 cups-libs                   x86_64 1:2.4.11-8.fc40                  updates    622.9 KiB
 dbus-libs                   x86_64 1:1.14.10-3.fc40                 fedora     368.9 KiB
 default-fonts-core-sans     noarch 4.0-13.fc40                      updates     11.9 KiB
 desktop-file-utils          x86_64 0.26-12.fc40                     fedora     226.0 KiB
 emacs-filesystem            noarch 1:29.4-9.fc40                    updates      0.0   B
 expat                       x86_64 2.6.3-1.fc40                     updates    287.5 KiB
 fftw                        x86_64 3.3.10-12.fc40                   updates    182.7 KiB
 fftw-libs                   x86_64 3.3.10-12.fc40                   updates      0.0   B
 fftw-libs-double            x86_64 3.3.10-12.fc40                   updates      3.4 MiB
 fftw-libs-long              x86_64 3.3.10-12.fc40                   updates      1.5 MiB
 fftw-libs-quad              x86_64 3.3.10-12.fc40                   updates      2.5 MiB
 fftw-libs-single            x86_64 3.3.10-12.fc40                   updates      3.6 MiB
 flexiblas                   x86_64 3.4.4-1.fc40                     updates     48.5 KiB
 flexiblas-devel             x86_64 3.4.4-1.fc40                     updates      4.7 MiB
 flexiblas-netlib            x86_64 3.4.4-1.fc40                     updates     10.6 MiB
 flexiblas-netlib64          x86_64 3.4.4-1.fc40                     updates     10.7 MiB
 flexiblas-openblas-openmp   x86_64 3.4.4-1.fc40                     updates     39.3 KiB
 flexiblas-openblas-openmp64 x86_64 3.4.4-1.fc40                     updates     39.3 KiB
 fontconfig                  x86_64 2.15.0-6.fc40                    updates    768.0 KiB
 fontconfig-devel            x86_64 2.15.0-6.fc40                    updates    117.2 KiB
 fonts-filesystem            noarch 1:2.0.5-14.fc40                  fedora       0.0   B
 freetype                    x86_64 2.13.2-5.fc40                    fedora     842.6 KiB
 freetype-devel              x86_64 2.13.2-5.fc40                    fedora       7.8 MiB
 fribidi                     x86_64 1.0.14-2.fc40                    updates    367.6 KiB
 gc                          x86_64 8.2.2-6.fc40                     fedora     258.7 KiB
 gcc                         x86_64 14.2.1-3.fc40                    updates    104.3 MiB
 gcc-c++                     x86_64 14.2.1-3.fc40                    updates     38.2 MiB
 gcc-gfortran                x86_64 14.2.1-3.fc40                    updates     37.2 MiB
 gcc-plugin-annobin          x86_64 14.2.1-3.fc40                    updates     57.1 KiB
 gettext                     x86_64 0.22.5-4.fc40                    updates      5.2 MiB
 gettext-envsubst            x86_64 0.22.5-4.fc40                    updates     74.9 KiB
 gettext-libs                x86_64 0.22.5-4.fc40                    updates      1.7 MiB
 gettext-runtime             x86_64 0.22.5-4.fc40                    updates    481.3 KiB
 glib2                       x86_64 2.80.3-1.fc40                    updates     14.6 MiB
 glib2-devel                 x86_64 2.80.3-1.fc40                    updates     15.6 MiB
 glibc-devel                 x86_64 2.39-30.fc40                     updates      2.2 MiB
 gnutls                      x86_64 3.8.6-1.fc40                     updates      3.2 MiB
 google-noto-fonts-common    noarch 20240301-2.fc40                  fedora      17.5 KiB
 google-noto-sans-vf-fonts   noarch 20240301-2.fc40                  fedora       1.2 MiB
 graphite2                   x86_64 1.3.14-15.fc40                   fedora     192.0 KiB
 graphite2-devel             x86_64 1.3.14-15.fc40                   fedora      49.1 KiB
 guile30                     x86_64 3.0.7-12.fc40                    fedora      51.5 MiB
 harfbuzz                    x86_64 8.5.0-1.fc40                     updates      2.7 MiB
 harfbuzz-devel              x86_64 8.5.0-1.fc40                     updates      5.1 MiB
 harfbuzz-icu                x86_64 8.5.0-1.fc40                     updates     15.5 KiB
 java-21-openjdk             x86_64 1:21.0.5.0.11-1.fc40             updates      1.1 MiB
 java-21-openjdk-devel       x86_64 1:21.0.5.0.11-1.fc40             updates     11.2 MiB
 java-21-openjdk-headless    x86_64 1:21.0.5.0.11-1.fc40             updates    203.9 MiB
 javapackages-filesystem     noarch 6.2.0-9.fc40                     fedora       1.9 KiB
 jbigkit-libs                x86_64 2.1-29.fc40                      fedora     117.6 KiB
 kernel-headers              x86_64 6.12.4-100.fc40                  updates      6.4 MiB
 less                        x86_64 643-6.fc40                       updates    372.6 KiB
 libICE                      x86_64 1.1.1-3.fc40                     fedora     181.2 KiB
 libRmath                    x86_64 4.4.2-1.fc40                     updates    246.8 KiB
 libRmath-devel              x86_64 4.4.2-1.fc40                     updates     17.4 KiB
 libSM                       x86_64 1.2.4-3.fc40                     fedora      97.3 KiB
 libX11                      x86_64 1.8.10-2.fc40                    updates      1.3 MiB
 libX11-common               noarch 1.8.10-2.fc40                    updates      1.1 MiB
 libX11-devel                x86_64 1.8.10-2.fc40                    updates      1.0 MiB
 libX11-xcb                  x86_64 1.8.10-2.fc40                    updates     15.0 KiB
 libXau                      x86_64 1.0.11-6.fc40                    fedora      66.9 KiB
 libXau-devel                x86_64 1.0.11-6.fc40                    fedora       6.4 KiB
 libXcomposite               x86_64 0.4.6-3.fc40                     fedora      44.5 KiB
 libXext                     x86_64 1.3.6-1.fc40                     fedora      90.1 KiB
 libXext-devel               x86_64 1.3.6-1.fc40                     fedora      98.9 KiB
 libXft                      x86_64 2.3.8-6.fc40                     fedora     164.5 KiB
 libXft-devel                x86_64 2.3.8-6.fc40                     fedora      31.7 KiB
 libXi                       x86_64 1.8.2-1.fc40                     updates     80.7 KiB
 libXmu                      x86_64 1.2.1-1.fc40                     updates    187.5 KiB
 libXrender                  x86_64 0.9.11-6.fc40                    fedora      50.1 KiB
 libXrender-devel            x86_64 0.9.11-6.fc40                    fedora      50.1 KiB
 libXt                       x86_64 1.3.0-3.fc40                     fedora     425.9 KiB
 libXtst                     x86_64 1.2.5-1.fc40                     updates     33.6 KiB
 libb2                       x86_64 0.98.1-11.fc40                   fedora      42.2 KiB
 libblkid-devel              x86_64 2.40.2-1.fc40                    updates     44.9 KiB
 libdatrie                   x86_64 0.2.13-9.fc40                    fedora      57.9 KiB
 libdeflate                  x86_64 1.22-2.fc40                      updates    118.1 KiB
 libdeflate-devel            x86_64 1.22-2.fc40                      updates     25.7 KiB
 libffi-devel                x86_64 3.4.4-7.fc40                     fedora      33.3 KiB
 libfontenc                  x86_64 1.1.7-3.fc40                     fedora      65.0 KiB
 libgfortran                 x86_64 14.2.1-3.fc40                    updates      3.0 MiB
 libicu                      x86_64 74.2-1.fc40                      fedora      34.9 MiB
 libicu-devel                x86_64 74.2-1.fc40                      fedora       5.6 MiB
 libjpeg-turbo               x86_64 3.0.2-1.fc40                     fedora     776.9 KiB
 liblerc                     x86_64 4.0.0-6.fc40                     fedora     603.5 KiB
 libmount-devel              x86_64 2.40.2-1.fc40                    updates     63.5 KiB
 libmpc                      x86_64 1.3.1-5.fc40                     fedora     164.7 KiB
 libpng                      x86_64 2:1.6.40-3.fc40                  fedora     241.8 KiB
 libpng-devel                x86_64 2:1.6.40-3.fc40                  fedora     881.5 KiB
 libquadmath                 x86_64 14.2.1-3.fc40                    updates    325.9 KiB
 libquadmath-devel           x86_64 14.2.1-3.fc40                    updates     21.9 KiB
 libselinux-devel            x86_64 3.7-5.fc40                       updates    126.4 KiB
 libsepol-devel              x86_64 3.7-2.fc40                       updates    120.3 KiB
 libstdc++-devel             x86_64 14.2.1-3.fc40                    updates     15.4 MiB
 libtextstyle                x86_64 0.22.5-4.fc40                    updates    195.6 KiB
 libthai                     x86_64 0.1.29-8.fc40                    fedora     783.5 KiB
 libtiff                     x86_64 4.6.0-5.fc40.1                   updates      1.1 MiB
 libtirpc-devel              x86_64 1.3.6-1.fc40                     updates    251.6 KiB
 libwebp                     x86_64 1.3.2-5.fc40                     fedora     793.6 KiB
 libxcb                      x86_64 1.17.0-2.fc40                    updates      1.1 MiB
 libxcb-devel                x86_64 1.17.0-2.fc40                    updates      2.7 MiB
 libxcrypt-devel             x86_64 4.4.36-11.fc40                   updates     30.5 KiB
 libxml2-devel               x86_64 2.12.8-1.fc40                    updates      3.4 MiB
 lksctp-tools                x86_64 1.0.19-6.fc40                    fedora     269.6 KiB
 lua                         x86_64 5.4.6-5.fc40                     fedora     597.8 KiB
 lua-posix                   x86_64 36.2.1-6.fc40                    fedora     599.7 KiB
 make                        x86_64 1:4.4.1-6.fc40                   fedora       1.8 MiB
 mkfontscale                 x86_64 1.2.2-6.fc40                     fedora      49.2 KiB
 mpdecimal                   x86_64 2.5.1-9.fc40                     fedora     200.9 KiB
 nettle                      x86_64 3.9.1-6.fc40                     fedora     790.1 KiB
 nspr                        x86_64 4.36.0-1.fc40                    updates    316.4 KiB
 nss                         x86_64 3.106.0-1.fc40                   updates      1.9 MiB
 nss-softokn                 x86_64 3.106.0-1.fc40                   updates      1.9 MiB
 nss-softokn-freebl          x86_64 3.106.0-1.fc40                   updates    869.2 KiB
 nss-sysinit                 x86_64 3.106.0-1.fc40                   updates     18.2 KiB
 nss-util                    x86_64 3.106.0-1.fc40                   updates    230.2 KiB
 openblas                    x86_64 0.3.26-4.fc40                    fedora      96.0 KiB
 openblas-openmp             x86_64 0.3.26-4.fc40                    fedora      38.9 MiB
 openblas-openmp64           x86_64 0.3.26-4.fc40                    fedora      39.1 MiB
 pango                       x86_64 1.54.0-1.fc40                    updates    996.2 KiB
 pcre2-devel                 x86_64 10.44-1.fc40                     updates      2.0 MiB
 pcre2-utf16                 x86_64 10.44-1.fc40                     updates    590.0 KiB
 pcre2-utf32                 x86_64 10.44-1.fc40                     updates    562.0 KiB
 pixman                      x86_64 0.43.4-1.fc40                    updates    710.1 KiB
 pixman-devel                x86_64 0.43.4-1.fc40                    updates     49.4 KiB
 python-pip-wheel            noarch 23.3.2-2.fc40                    updates      1.5 MiB
 python3                     x86_64 3.12.7-1.fc40                    updates     31.5 KiB
 python3-libs                x86_64 3.12.7-1.fc40                    updates     41.2 MiB
 python3-packaging           noarch 23.2-4.fc40                      fedora     421.1 KiB
 sysprof-capture-devel       x86_64 46.0-1.fc40                      fedora     252.8 KiB
 tcl                         x86_64 1:8.6.13-3.fc40                  updates      4.2 MiB
 tcl-devel                   x86_64 1:8.6.13-3.fc40                  updates    808.9 KiB
 tk                          x86_64 1:8.6.13-3.fc40                  fedora       3.6 MiB
 tk-devel                    x86_64 1:8.6.13-3.fc40                  fedora     983.9 KiB
 tre                         x86_64 0.8.0-43.20140228gitc2f5d13.fc40 fedora      75.9 KiB
 tre-common                  noarch 0.8.0-43.20140228gitc2f5d13.fc40 fedora      81.0 KiB
 tre-devel                   x86_64 0.8.0-43.20140228gitc2f5d13.fc40 fedora      10.7 KiB
 ttmkfdir                    x86_64 3.0.9-70.fc40                    fedora     122.7 KiB
 tzdata                      noarch 2024a-5.fc40                     updates      1.6 MiB
 tzdata-java                 noarch 2024a-5.fc40                     updates    101.7 KiB
 xdg-utils                   noarch 1.2.1-1.fc40                     fedora     346.3 KiB
 xml-common                  noarch 0.6.3-63.fc40                    fedora      78.4 KiB
 xorg-x11-fonts-Type1        noarch 7.5-38.fc40                      fedora     863.3 KiB
 xorg-x11-proto-devel        noarch 2024.1-2.fc40                    updates      1.7 MiB
 xz-devel                    x86_64 1:5.4.6-3.fc40                   fedora     255.8 KiB
 zlib-ng-compat-devel        x86_64 2.1.7-2.fc40                     updates    106.8 KiB

Transaction Summary:
 Installing:       182 packages

Total size of inbound packages is 298 MiB. Need to download 298 MiB.
After this operation, 962 MiB extra will be used (install 962 MiB, remove 0 B).
[  1/182] R-CRAN-R6-0:2.5.1-1.fc40.copr 100% |   2.4 MiB/s |  95.5 KiB |  00m00s
[  2/182] R-CRAN-Rcpp-0:1.0.13.1-1.fc40 100% |  10.1 MiB/s |   2.0 MiB |  00m00s
[  3/182] R-CRAN-digest-0:0.6.37-1.fc40 100% |   7.7 MiB/s | 228.9 KiB |  00m00s
[  4/182] R-CRAN-filearray-0:0.1.9-1.fc 100% |   3.0 MiB/s | 611.8 KiB |  00m00s
[  5/182] R-CRAN-gsignal-0:0.3.7-1.fc40 100% |   9.8 MiB/s |   2.1 MiB |  00m00s
[  6/182] R-CRAN-RcppEigen-0:0.3.4.0.2- 100% |   2.2 MiB/s |   1.4 MiB |  00m01s
[  7/182] R-CRAN-pracma-0:2.4.4-1.fc40. 100% |  10.6 MiB/s |   1.9 MiB |  00m00s
[  8/182] R-devel-0:4.4.2-1.fc40.x86_64 100% |  55.7 KiB/s |   9.3 KiB |  00m00s
[  9/182] R-CRAN-waveslim-0:1.8.5-1.fc4 100% |   2.7 MiB/s | 806.3 KiB |  00m00s
[ 10/182] R-CRAN-RNiftyReg-0:2.8.4-1.fc 100% |   2.4 MiB/s |   2.7 MiB |  00m01s
[ 11/182] R-CRAN-RNifti-0:1.7.0-1.fc40. 100% |   5.4 MiB/s | 912.9 KiB |  00m00s
[ 12/182] R-CRAN-fastmap-0:1.2.0-1.fc40 100% |   6.9 MiB/s |  78.2 KiB |  00m00s
[ 13/182] fftw-devel-0:3.3.10-12.fc40.x 100% | 365.7 KiB/s | 134.9 KiB |  00m00s
[ 14/182] R-CRAN-uuid-0:1.2.1-1.fc40.co 100% | 273.3 KiB/s |  62.8 KiB |  00m00s
[ 15/182] R-CRAN-multitaper-0:1.0.17-1. 100% |   1.2 MiB/s | 309.4 KiB |  00m00s
[ 16/182] R-java-devel-0:4.4.2-1.fc40.x 100% |  65.6 KiB/s |   9.3 KiB |  00m00s
[ 17/182] R-core-devel-0:4.4.2-1.fc40.x 100% | 309.5 KiB/s |  94.7 KiB |  00m00s
[ 18/182] libXt-0:1.3.0-3.fc40.x86_64   100% | 334.9 KiB/s | 177.5 KiB |  00m01s
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[182/182] Total                         100% |  17.3 MiB/s | 297.5 MiB |  00m17s
Running transaction
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>>> Running pre-transaction scriptlet: copy-jdk-configs-0:4.1-5.fc40.noarch
>>> Finished pre-transaction scriptlet: copy-jdk-configs-0:4.1-5.fc40.noarch
>>> [RPM] /var/lib/mock/fedora-40-x86_64-1734400461.336274/root/var/cache/dnf/co
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warning: posix.fork(): .fork(), .exec(), .wait() and .redirect2null() are deprecated, use rpm.spawn() or rpm.execute() instead
warning: posix.wait(): .fork(), .exec(), .wait() and .redirect2null() are deprecated, use rpm.spawn() or rpm.execute() instead
warning: posix.exec(): .fork(), .exec(), .wait() and .redirect2null() are deprecated, use rpm.spawn() or rpm.execute() instead
[184/184] Installing fftw-devel-0:3.3.1 100% | 309.8 KiB/s | 290.3 KiB |  00m01s
Warning: skipped OpenPGP checks for 13 packages from repository: copr_base
Complete!
Finish: build setup for R-CRAN-ravetools-0.2.0-1.fc40.copr8401833.src.rpm
Start: rpmbuild R-CRAN-ravetools-0.2.0-1.fc40.copr8401833.src.rpm
warning: source_date_epoch_from_changelog set but %changelog is missing
Building target platforms: x86_64
Building for target x86_64
Executing(%prep): /bin/sh -e /var/tmp/rpm-tmp.QcxLlE
+ umask 022
+ cd /builddir/build/BUILD
+ cd /builddir/build/BUILD
+ rm -rf ravetools
+ /usr/bin/mkdir -p ravetools
+ cd ravetools
+ /usr/lib/rpm/rpmuncompress -x /builddir/build/SOURCES/ravetools_0.2.0.tar.gz
+ STATUS=0
+ '[' 0 -ne 0 ']'
+ rm -rf /builddir/build/BUILD/ravetools-SPECPARTS
+ /usr/bin/mkdir -p /builddir/build/BUILD/ravetools-SPECPARTS
+ /usr/bin/chmod -Rf a+rX,u+w,g-w,o-w .
+ find -type f -executable -exec grep -Iq . '{}' ';' -exec sed -i -e '$a\' '{}' ';'
+ '[' -d ravetools/src ']'
+ find ravetools/src -type f -exec sed -i s@/usr/bin/strip@/usr/bin/true@g '{}' ';'
+ '[' -d ravetools/src ']'
+ find ravetools/src/Makevars.in ravetools/src/Makevars.win -type f -exec sed -i s@-g0@@g '{}' ';'
+ find -type f -executable -exec sed -Ei 's@#!( )*/usr/local/bin@#!/usr/bin@g' '{}' ';'
+ RPM_EC=0
++ jobs -p
+ exit 0
Executing(%build): /bin/sh -e /var/tmp/rpm-tmp.2Hpiqa
+ umask 022
+ cd /builddir/build/BUILD
+ CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer '
+ export CFLAGS
+ CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer '
+ export CXXFLAGS
+ FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules '
+ export FFLAGS
+ FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules '
+ export FCFLAGS
+ VALAFLAGS=-g
+ export VALAFLAGS
+ RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn'
+ export RUSTFLAGS
+ LDFLAGS='-Wl,-z,relro -Wl,--as-needed  -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes '
+ export LDFLAGS
+ LT_SYS_LIBRARY_PATH=/usr/lib64:
+ export LT_SYS_LIBRARY_PATH
+ CC=gcc
+ export CC
+ CXX=g++
+ export CXX
+ cd ravetools
+ RPM_EC=0
++ jobs -p
+ exit 0
Executing(%install): /bin/sh -e /var/tmp/rpm-tmp.afzipi
+ umask 022
+ cd /builddir/build/BUILD
+ '[' /builddir/build/BUILDROOT/R-CRAN-ravetools-0.2.0-1.fc40.copr8401833.x86_64 '!=' / ']'
+ rm -rf /builddir/build/BUILDROOT/R-CRAN-ravetools-0.2.0-1.fc40.copr8401833.x86_64
++ dirname /builddir/build/BUILDROOT/R-CRAN-ravetools-0.2.0-1.fc40.copr8401833.x86_64
+ mkdir -p /builddir/build/BUILDROOT
+ mkdir /builddir/build/BUILDROOT/R-CRAN-ravetools-0.2.0-1.fc40.copr8401833.x86_64
+ CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer '
+ export CFLAGS
+ CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer '
+ export CXXFLAGS
+ FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules '
+ export FFLAGS
+ FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules '
+ export FCFLAGS
+ VALAFLAGS=-g
+ export VALAFLAGS
+ RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn'
+ export RUSTFLAGS
+ LDFLAGS='-Wl,-z,relro -Wl,--as-needed  -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes '
+ export LDFLAGS
+ LT_SYS_LIBRARY_PATH=/usr/lib64:
+ export LT_SYS_LIBRARY_PATH
+ CC=gcc
+ export CC
+ CXX=g++
+ export CXX
+ cd ravetools
+ mkdir -p /builddir/build/BUILDROOT/R-CRAN-ravetools-0.2.0-1.fc40.copr8401833.x86_64/usr/local/lib/R/library
+ /usr/bin/R CMD INSTALL -l /builddir/build/BUILDROOT/R-CRAN-ravetools-0.2.0-1.fc40.copr8401833.x86_64/usr/local/lib/R/library ravetools
* installing *source* package ‘ravetools’ ...
** package ‘ravetools’ successfully unpacked and MD5 sums checked
** using staged installation
R_HOME found: /usr/lib64/R
configure: Running under OSX... no
checking for pkg-config... /usr/bin/pkg-config
checking pkg-config is at least version 0.9.0... yes
checking for FFTW... yes
configure: creating ./config.status
config.status: creating src/Makevars

================================
compiler flags:   -Ivcglib -I../inst/include
link argument:  -lfftw3 
================================

** libs
using C++ compiler: ‘g++ (GCC) 14.2.1 20240912 (Red Hat 14.2.1-3)’
g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -Ivcglib -I../inst/include -I'/usr/local/lib/R/library/Rcpp/include' -I'/usr/local/lib/R/library/RcppEigen/include' -I/usr/local/include    -fpic  -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer    -c RcppExports.cpp -o RcppExports.o
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:205,
                 from /usr/local/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:28,
                 from /usr/local/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from ../inst/include/ravetools_RcppExports.h:7,
                 from ../inst/include/ravetools.h:7,
                 from RcppExports.cpp:4:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
      |                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
      |                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes]
   49 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes]
   51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
  222 | template<> struct unpacket_traits<Packet4f> {
      |                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
  228 | template<> struct unpacket_traits<Packet2d> {
      |                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
 1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
 1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:174:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:165:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<float, 4>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<float> >’
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
   24 |     ResAlignment = traits<Quaternion<float> >::Alignment
      |                                              ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:271:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<float, 4, 1>’
  178 | class Matrix
      |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<float> >’
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from ‘class Eigen::Quaternion<float>’
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
   27 |   {
      |   ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 4>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<double> >’
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
   98 |     ResAlignment = traits<Quaternion<double> >::Alignment
      |                                               ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 4, 1>’
  178 | class Matrix
      |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<double> >’
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from ‘class Eigen::Quaternion<double>’
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
  102 |   {
      |   ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/SparseCore:37,
                 from /usr/local/lib/R/library/RcppEigen/include/Eigen/Sparse:26,
                 from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:29:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from ‘class Eigen::SparseMatrix<double, 0, int>’
   96 | class SparseMatrix
      |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
   61 |   typedef Triplet<double> T;
      |                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -Ivcglib -I../inst/include -I'/usr/local/lib/R/library/Rcpp/include' -I'/usr/local/lib/R/library/RcppEigen/include' -I/usr/local/include    -fpic  -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer    -c baseline.cpp -o baseline.o
g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -Ivcglib -I../inst/include -I'/usr/local/lib/R/library/Rcpp/include' -I'/usr/local/lib/R/library/RcppEigen/include' -I/usr/local/include    -fpic  -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer    -c bucketFill.cpp -o bucketFill.o
g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -Ivcglib -I../inst/include -I'/usr/local/lib/R/library/Rcpp/include' -I'/usr/local/lib/R/library/RcppEigen/include' -I/usr/local/include    -fpic  -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer    -c collapse-cplx.cpp -o collapse-cplx.o
g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -Ivcglib -I../inst/include -I'/usr/local/lib/R/library/Rcpp/include' -I'/usr/local/lib/R/library/RcppEigen/include' -I/usr/local/include    -fpic  -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer    -c collapse-real.cpp -o collapse-real.o
g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -Ivcglib -I../inst/include -I'/usr/local/lib/R/library/Rcpp/include' -I'/usr/local/lib/R/library/RcppEigen/include' -I/usr/local/include    -fpic  -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer    -c columnQuantile.cpp -o columnQuantile.o
g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -Ivcglib -I../inst/include -I'/usr/local/lib/R/library/Rcpp/include' -I'/usr/local/lib/R/library/RcppEigen/include' -I/usr/local/include    -fpic  -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer    -c fastColMeans.cpp -o fastColMeans.o
g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -Ivcglib -I../inst/include -I'/usr/local/lib/R/library/Rcpp/include' -I'/usr/local/lib/R/library/RcppEigen/include' -I/usr/local/include    -fpic  -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer    -c fastQuantile.cpp -o fastQuantile.o
g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -Ivcglib -I../inst/include -I'/usr/local/lib/R/library/Rcpp/include' -I'/usr/local/lib/R/library/RcppEigen/include' -I/usr/local/include    -fpic  -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer    -c fastcov.cpp -o fastcov.o
g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -Ivcglib -I../inst/include -I'/usr/local/lib/R/library/Rcpp/include' -I'/usr/local/lib/R/library/RcppEigen/include' -I/usr/local/include    -fpic  -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer    -c ffts.cpp -o ffts.o
g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -Ivcglib -I../inst/include -I'/usr/local/lib/R/library/Rcpp/include' -I'/usr/local/lib/R/library/RcppEigen/include' -I/usr/local/include    -fpic  -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer    -c fftw-wrapper.cpp -o fftw-wrapper.o
g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -Ivcglib -I../inst/include -I'/usr/local/lib/R/library/Rcpp/include' -I'/usr/local/lib/R/library/RcppEigen/include' -I/usr/local/include    -fpic  -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer    -c filter.cpp -o filter.o
g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -Ivcglib -I../inst/include -I'/usr/local/lib/R/library/Rcpp/include' -I'/usr/local/lib/R/library/RcppEigen/include' -I/usr/local/include    -fpic  -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer    -c glMatrix4.cpp -o glMatrix4.o
g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -Ivcglib -I../inst/include -I'/usr/local/lib/R/library/Rcpp/include' -I'/usr/local/lib/R/library/RcppEigen/include' -I/usr/local/include    -fpic  -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer    -c glQuaternion.cpp -o glQuaternion.o
g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -Ivcglib -I../inst/include -I'/usr/local/lib/R/library/Rcpp/include' -I'/usr/local/lib/R/library/RcppEigen/include' -I/usr/local/include    -fpic  -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer    -c glVector3.cpp -o glVector3.o
glVector3.cpp: In member function ‘rave3d::Vector3& rave3d::Vector3::fromArray(std::vector<double>&, const int&, const int&)’:
glVector3.cpp:41:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare]
   41 |     if( n_ * 3 + offset > dlen ) { n_--; }
      |         ~~~~~~~~~~~~~~~~^~~~~~
glVector3.cpp:46:37: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare]
   46 |   if( offset < 0 || n_ * 3 + offset > dlen ) {
      |                     ~~~~~~~~~~~~~~~~^~~~~~
glVector3.cpp: In member function ‘SEXPREC* rave3d::Vector3::toArray(const int&, const int&)’:
glVector3.cpp:100:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare]
  100 |   } else if ( nSkip >= nElements ) {
      |               ~~~~~~^~~~~~~~~~~~
glVector3.cpp:119:25: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
  119 |   for(size_t ii = 0; ii < retSize * 3; ii++, pinp++, pout++) {
      |                      ~~~^~~~~~~~~~~~~
g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -Ivcglib -I../inst/include -I'/usr/local/lib/R/library/Rcpp/include' -I'/usr/local/lib/R/library/RcppEigen/include' -I/usr/local/include    -fpic  -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer    -c rawToSEXP.cpp -o rawToSEXP.o
g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -Ivcglib -I../inst/include -I'/usr/local/lib/R/library/Rcpp/include' -I'/usr/local/lib/R/library/RcppEigen/include' -I/usr/local/include    -fpic  -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer    -c shiftarray.cpp -o shiftarray.o
g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -Ivcglib -I../inst/include -I'/usr/local/lib/R/library/Rcpp/include' -I'/usr/local/lib/R/library/RcppEigen/include' -I/usr/local/include    -fpic  -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer    -c threads.cpp -o threads.o
g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -Ivcglib -I../inst/include -I'/usr/local/lib/R/library/Rcpp/include' -I'/usr/local/lib/R/library/RcppEigen/include' -I/usr/local/include    -fpic  -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer    -c utils.cpp -o utils.o
g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -Ivcglib -I../inst/include -I'/usr/local/lib/R/library/Rcpp/include' -I'/usr/local/lib/R/library/RcppEigen/include' -I/usr/local/include    -fpic  -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer    -c vcgCommon.cpp -o vcgCommon.o
In file included from vcglib/vcg/complex/algorithms/update/color.h:34,
                 from vcgCommon.h:28,
                 from vcgCommon.cpp:2:
vcglib/vcg/complex/algorithms/clean.h:2023: warning: ignoring ‘#pragma omp parallel’ [-Wunknown-pragmas]
 2023 | #pragma omp parallel for schedule(dynamic, 10)
In file included from vcgCommon.h:37:
vcglib/vcg/complex/algorithms/create/resampler.h:250: warning: ignoring ‘#pragma omp parallel’ [-Wunknown-pragmas]
  250 | #pragma omp parallel for schedule(dynamic, 10)
vcgCommon.cpp:637: warning: ignoring ‘#pragma omp parallel’ [-Wunknown-pragmas]
  637 | #pragma omp parallel for firstprivate(maxDistance,gridSearcher,mf) schedule(static) num_threads(threads)
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:205,
                 from vcglib/vcg/math/matrix44.h:34,
                 from vcglib/vcg/space/box3.h:27,
                 from vcglib/vcg/complex/used_types.h:26,
                 from vcglib/vcg/complex/complex.h:46,
                 from vcgCommon.h:15:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
      |                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
      |                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes]
   49 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes]
   51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
  222 | template<> struct unpacket_traits<Packet4f> {
      |                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
  228 | template<> struct unpacket_traits<Packet2d> {
      |                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
 1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
 1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:174:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:165:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 16>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 4> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 4, 4>’
  178 | class Matrix
      |       ^~~~~~
vcglib/vcg/math/matrix44.h:639:14:   required from here
  639 |     return mm.determinant();
      |              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:271:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 4> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 4> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 4, 4>’
  178 | class Matrix
      |       ^~~~~~
vcglib/vcg/math/matrix44.h:639:14:   required from here
  639 |     return mm.determinant();
      |              ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Inverse<Eigen::Matrix<double, 4, 4> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Inverse<Eigen::Matrix<double, 4, 4> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Inverse<Eigen::Matrix<double, 4, 4> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7:   required from ‘class Eigen::InverseImpl<Eigen::Matrix<double, 4, 4>, Eigen::Dense>’
   68 | class InverseImpl
      |       ^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7:   required from ‘class Eigen::Inverse<Eigen::Matrix<double, 4, 4> >’
   43 | class Inverse : public InverseImpl<XprType,typename internal::traits<XprType>::StorageKind>
      |       ^~~~~~~
vcglib/vcg/math/matrix44.h:667:20:   required from here
  667 |     mmi=mm.inverse();
      |                    ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 9>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 3, 3> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 3> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 3, 3>’
  178 | class Matrix
      |       ^~~~~~
vcglib/vcg/math/matrix33.h:506:9:   required from here
  506 |   mmi=mm.inverse();
      |         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 3>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 3>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 3>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 3, 3> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 3, 3> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 3> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 3, 3>’
  178 | class Matrix
      |       ^~~~~~
vcglib/vcg/math/matrix33.h:506:9:   required from here
  506 |   mmi=mm.inverse();
      |         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Inverse<Eigen::Matrix<double, 3, 3> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Inverse<Eigen::Matrix<double, 3, 3> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Inverse<Eigen::Matrix<double, 3, 3> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7:   required from ‘class Eigen::InverseImpl<Eigen::Matrix<double, 3, 3>, Eigen::Dense>’
   68 | class InverseImpl
      |       ^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7:   required from ‘class Eigen::Inverse<Eigen::Matrix<double, 3, 3> >’
   43 | class Inverse : public InverseImpl<XprType,typename internal::traits<XprType>::StorageKind>
      |       ^~~~~~~
vcglib/vcg/math/matrix33.h:506:18:   required from here
  506 |   mmi=mm.inverse();
      |                  ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<float, 4>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<float> >’
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
   24 |     ResAlignment = traits<Quaternion<float> >::Alignment
      |                                              ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<float, 4, 1>’
  178 | class Matrix
      |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<float> >’
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from ‘class Eigen::Quaternion<float>’
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
   27 |   {
      |   ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 4>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<double> >’
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
   98 |     ResAlignment = traits<Quaternion<double> >::Alignment
      |                                               ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 4, 1>’
  178 | class Matrix
      |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<double> >’
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from ‘class Eigen::Quaternion<double>’
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
  102 |   {
      |   ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 3>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 3, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 3, 1>’
  178 | class Matrix
      |       ^~~~~~
vcglib/vcg/space/point_matching.h:65:15:   required from here
   65 |                 m += spe*tpe.transpose();
      |                             ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 3, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 3, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 3, 1>’
  178 | class Matrix
      |       ^~~~~~
vcglib/vcg/space/point_matching.h:65:15:   required from here
   65 |                 m += spe*tpe.transpose();
      |                             ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 3, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 3, 1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 3, 1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 3, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 3, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Matrix<double, 3, 1>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Matrix<double, 3, 1> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
vcglib/vcg/space/point_matching.h:65:26:   required from here
   65 |                 m += spe*tpe.transpose();
      |                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, 3, 1>, Eigen::Transpose<Eigen::Matrix<double, 3, 1> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, 3, 1>, Eigen::Transpose<Eigen::Matrix<double, 3, 1> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, 3, 1>, Eigen::Transpose<Eigen::Matrix<double, 3, 1> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, 3, 1>, Eigen::Transpose<Eigen::Matrix<double, 3, 1> >, 0, 4>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, 3, 1>, Eigen::Transpose<Eigen::Matrix<double, 3, 1> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, 3, 1>, Eigen::Transpose<Eigen::Matrix<double, 3, 1> >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
vcglib/vcg/space/point_matching.h:65:26:   required from here
   65 |                 m += spe*tpe.transpose();
      |                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, 3, 3>, const Eigen::Matrix<double, 3, 3> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, 3, 3>, const Eigen::Matrix<double, 3, 3> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, 3, 3>, const Eigen::Matrix<double, 3, 3> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, 3, 3>, const Eigen::Matrix<double, 3, 3>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, 3, 3>, const Eigen::Matrix<double, 3, 3> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
vcglib/vcg/space/point_matching.h:101:11:   required from here
  101 |   cyc=ccm-ccmt;
      |           ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, 3, 3>, const Eigen::Matrix<double, 3, 3> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, 3, 3>, const Eigen::Matrix<double, 3, 3> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, 3, 3>, const Eigen::Matrix<double, 3, 3> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, 3, 3>, const Eigen::Matrix<double, 3, 3>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, 3, 3>, const Eigen::Matrix<double, 3, 3> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
vcglib/vcg/space/point_matching.h:112:15:   required from here
  112 |   RM += ccm + ccmt;
      |               ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 3, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 3, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 3, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 3, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 3, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 3, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 3, false>, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, 4, 4>, 1, 3, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, 4, 4>, 1, 3, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 3, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
vcglib/vcg/space/point_matching.h:115:37:   required from here
  115 |   QQ.block<1,3> (0,1) = D.transpose();
      |                                     ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 3, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 3, 1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 3, 1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 3, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 3, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 3, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 3, 1, false>, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, 4, 4>, 3, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, 4, 4>, 3, 1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, 4, 4>, 3, 1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
vcglib/vcg/space/point_matching.h:116:25:   required from here
  116 |   QQ.block<3,1> (1,0) = D;
      |                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 3, 3, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 3, 3, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 3, 3, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 3, 3, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 3, 3, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 3, 3, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 3, 3, false>, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, 4, 4>, 3, 3, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, 4, 4>, 3, 3, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, 4, 4>, 3, 3, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
vcglib/vcg/space/point_matching.h:117:25:   required from here
  117 |   QQ.block<3,3> (1,1) = RM;
      |                         ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, 4, 4>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, 4, 4>, 0>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, 4, 4>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, 4, 4>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Matrix<double, 4, 4>, 0>’
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:92:21:   required from ‘class Eigen::Tridiagonalization<Eigen::Matrix<double, 4, 4> >’
   92 |             >::type DiagonalReturnType;
      |                     ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62:   required from ‘class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, 4, 4> >’
  111 |     typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType;
      |                                                              ^~~~~~~~~~~~~~~
vcglib/vcg/space/point_matching.h:120:29:   required from here
  120 |   Eigen::Vector4d eval = eig.eigenvalues();
      |                             ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, 4, 4>, -1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, 4, 4>, -1>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, 4, 4>, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, 4, 4>, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Matrix<double, 4, 4>, -1>’
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:97:21:   required from ‘class Eigen::Tridiagonalization<Eigen::Matrix<double, 4, 4> >’
   97 |             >::type SubDiagonalReturnType;
      |                     ^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62:   required from ‘class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, 4, 4> >’
  111 |     typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType;
      |                                                              ^~~~~~~~~~~~~~~
vcglib/vcg/space/point_matching.h:120:29:   required from here
  120 |   Eigen::Vector4d eval = eig.eigenvalues();
      |                             ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 4, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 4, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 4, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 4, 1>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 4, 1> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
vcglib/vcg/space/point_matching.h:125:18:   required from here
  125 |   eval.cwiseAbs().maxCoeff(&ind);
      |                  ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, 4, 4>, 4, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, 4, 4>, 4, 1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
vcglib/vcg/space/point_matching.h:127:34:   required from here
  127 |   q=Quaternion<S>(evec.col(ind)[0],evec.col(ind)[1],evec.col(ind)[2],evec.col(ind)[3]);
      |                                  ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, -1>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 3, -1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 3, -1>’
  178 | class Matrix
      |       ^~~~~~
vcglib/vcg/space/point_matching.h:185:4:   required from here
  185 |                 p.col(i) = v;
      |                  ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, -1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 3, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 3, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 3, -1>’
  178 | class Matrix
      |       ^~~~~~
vcglib/vcg/space/point_matching.h:185:4:   required from here
  185 |                 p.col(i) = v;
      |                  ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, -1>, 3, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, -1>, 3, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, -1>, 3, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 3, -1>, 3, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 3, -1>, 3, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, -1>, 3, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, -1>, 3, 1, true>, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, 3, -1>, 3, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, 3, -1>, 3, 1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, 3, -1>, 3, 1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
vcglib/vcg/space/point_matching.h:185:14:   required from here
  185 |                 p.col(i) = v;
      |                            ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 3>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 3>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 3>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, 3> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, 3> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 3> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, 3>’
  178 | class Matrix
      |       ^~~~~~
vcglib/vcg/space/point_matching.h:194:4:   required from here
  194 |                 q.row(i) = v;
      |                  ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 3>, 1, 3, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 3>, 1, 3, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 3>, 1, 3, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 3>, 1, 3, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 3>, 1, 3, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 3>, 1, 3, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 3>, 1, 3, false>, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, 3>, 1, 3, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, 3>, 1, 3, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, 3>, 1, 3, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
vcglib/vcg/space/point_matching.h:194:14:   required from here
  194 |                 q.row(i) = v;
      |                            ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<double, 3, 3>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
vcglib/vcg/space/point_matching.h:203:52:   required from here
  203 |         d(2,2) = (svd.matrixV() * svd.matrixU().transpose()).determinant() > 0 ? 1 : -1;
      |                                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, 3, 3>, Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 0, 3>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, 3, 3>, Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
vcglib/vcg/space/point_matching.h:203:54:   required from here
  203 |         d(2,2) = (svd.matrixV() * svd.matrixU().transpose()).determinant() > 0 ? 1 : -1;
      |                                                             ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::Matrix<double, 3, 3>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::Matrix<double, 3, 3>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::Matrix<double, 3, 3>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, 3, 3>, Eigen::Matrix<double, 3, 3>, 0, 3>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, 3, 3>, Eigen::Matrix<double, 3, 3>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::Matrix<double, 3, 3>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
vcglib/vcg/space/point_matching.h:205:67:   required from here
  205 |         Eigen::Matrix3d R = (svd.matrixV() * d * svd.matrixU().transpose());
      |                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::Matrix<double, 3, 1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::Matrix<double, 3, 1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::Matrix<double, 3, 1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, 3, 3>, Eigen::Matrix<double, 3, 1>, 0, 3>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, 3, 3>, Eigen::Matrix<double, 3, 1>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::Matrix<double, 3, 1>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
vcglib/vcg/space/point_matching.h:206:33:   required from here
  206 |         Eigen::Vector3d t = avgQ - R * avgP;
      |                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, 3, 3>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, 3, 3>, 0>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, 3, 3>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, 3, 3>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Matrix<double, 3, 3>, 0>’
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:92:21:   required from ‘class Eigen::Tridiagonalization<Eigen::Matrix<double, 3, 3> >’
   92 |             >::type DiagonalReturnType;
      |                     ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62:   required from ‘class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, 3, 3> >’
  111 |     typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType;
      |                                                              ^~~~~~~~~~~~~~~
vcglib/vcg/space/polygon3.h:310:31:   required from here
  310 |     Eigen::Vector3d eval = eig.eigenvalues();
      |                               ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, 3, 3>, -1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, 3, 3>, -1>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, 3, 3>, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, 3, 3>, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Matrix<double, 3, 3>, -1>’
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:97:21:   required from ‘class Eigen::Tridiagonalization<Eigen::Matrix<double, 3, 3> >’
   97 |             >::type SubDiagonalReturnType;
      |                     ^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62:   required from ‘class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, 3, 3> >’
  111 |     typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType;
      |                                                              ^~~~~~~~~~~~~~~
vcglib/vcg/space/polygon3.h:310:31:   required from here
  310 |     Eigen::Vector3d eval = eig.eigenvalues();
      |                               ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 2>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, 3, 3>, -1> >’
  179 |     typedef typename internal::find_best_packet<Scalar,SizeAtCompileTime>::type PacketScalar;
      |                                                                                 ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, 3, 3>, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Matrix<double, 3, 3>, -1>’
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:97:21:   required from ‘class Eigen::Tridiagonalization<Eigen::Matrix<double, 3, 3> >’
   97 |             >::type SubDiagonalReturnType;
      |                     ^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62:   required from ‘class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, 3, 3> >’
  111 |     typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType;
      |                                                              ^~~~~~~~~~~~~~~
vcglib/vcg/space/polygon3.h:310:31:   required from here
  310 |     Eigen::Vector3d eval = eig.eigenvalues();
      |                               ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 2, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 2, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 2, 1>’
  178 | class Matrix
      |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:100:128:   required from ‘class Eigen::Tridiagonalization<Eigen::Matrix<double, 3, 3> >’
  100 |     typedef HouseholderSequence<MatrixType,typename internal::remove_all<typename CoeffVectorType::ConjugateReturnType>::type> HouseholderSequenceType;
      |                                                                                                                                ^~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62:   required from ‘class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, 3, 3> >’
  111 |     typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType;
      |                                                              ^~~~~~~~~~~~~~~
vcglib/vcg/space/polygon3.h:310:31:   required from here
  310 |     Eigen::Vector3d eval = eig.eigenvalues();
      |                               ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 3, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 3, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 3, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 3, 1>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 3, 1> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
vcglib/vcg/space/polygon3.h:313:26:   required from here
  313 |     eval = eval.cwiseAbs();
      |                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<float, -1>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<float, -1, -1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, -1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<float, -1, -1>’
  178 | class Matrix
      |       ^~~~~~
vcglib/vcg/complex/allocate.h:280:48:   required from here
  280 |       VertexIterator v_ret =  AddVertices(m, vm.rows());
      |                                                ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, -1, -1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, -1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, -1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<float, -1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, -1, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, -1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<float, -1, -1>’
  178 | class Matrix
      |       ^~~~~~
vcglib/vcg/complex/allocate.h:280:48:   required from here
  280 |       VertexIterator v_ret =  AddVertices(m, vm.rows());
      |                                                ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
vcglib/vcg/complex/algorithms/inertia.h:276:30:   required from here
  276 |         J=Eigen::Matrix3d::Identity();
      |                                     ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 2, 2>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 2, 2>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 2, 2>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<float, 2, 2> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, 2, 2> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, 2, 2> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<float, 2, 2>’
  178 | class Matrix
      |       ^~~~~~
vcglib/vcg/complex/algorithms/update/curvature.h:231:17:   required from here
  231 |         minor2x2(0,0) = QtMQ[1][1];
      |         ~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<float, 2, 2> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<float, 2, 2> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<float, 2, 2> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<float, 2, 2> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<float, 2, 2> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Matrix<float, 2, 2>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Matrix<float, 2, 2> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
vcglib/vcg/complex/algorithms/update/curvature.h:240:48:   required from here
  240 |         Eigen::Matrix2f StMS = S.transpose() * minor2x2 * S;
      |                                                ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, 2, 2> >, Eigen::Matrix<float, 2, 2>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, 2, 2> >, Eigen::Matrix<float, 2, 2>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, 2, 2> >, Eigen::Matrix<float, 2, 2>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<float, 2, 2> >, Eigen::Matrix<float, 2, 2>, 0, 3>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<float, 2, 2> >, Eigen::Matrix<float, 2, 2>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, 2, 2> >, Eigen::Matrix<float, 2, 2>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
vcglib/vcg/complex/algorithms/update/curvature.h:240:59:   required from here
  240 |         Eigen::Matrix2f StMS = S.transpose() * minor2x2 * S;
      |                                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/SparseCore:37,
                 from /usr/local/lib/R/library/RcppEigen/include/Eigen/Sparse:26,
                 from vcglib/vcg/complex/algorithms/implicit_smooth.h:26,
                 from vcgCommon.h:43:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double> >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from ‘class Eigen::SparseMatrix<double>’
   96 | class SparseMatrix
      |       ^~~~~~~~~~~~
vcglib/vcg/complex/algorithms/harmonic.h:61:43:   required from here
   61 |         typedef Eigen::Triplet<CoeffScalar>      Triple; // triplet type to fill the matrix
      |                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::SparseMatrix<double>, 2> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:145:7:   required from ‘class Eigen::ProductImpl<Eigen::SparseMatrix<double>, Eigen::SparseMatrix<double>, 2, Eigen::Sparse>’
  145 | class ProductImpl : public internal::generic_xpr_base<Product<Lhs,Rhs,Option>, MatrixXpr, StorageKind>::type
      |       ^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::SparseMatrix<double>, Eigen::SparseMatrix<double>, 2>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
vcglib/vcg/complex/algorithms/harmonic.h:122:34:   required from here
  122 |             laplaceMat = lap_t * laplaceMat;
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, 1>’
  178 | class Matrix
      |       ^~~~~~
vcglib/vcg/complex/algorithms/harmonic.h:131:10:   required from here
  131 |         b.setZero(n);
      |          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
   86 | class SolveImpl<Decomposition,RhsType,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >’
   62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
      |       ^~~~~
vcglib/vcg/complex/algorithms/harmonic.h:158:27:   required from here
  158 |         x = solver.solve(b);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<float, 0, int> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<float, 0, int> >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from ‘class Eigen::SparseMatrix<float, 0, int>’
   96 | class SparseMatrix
      |       ^~~~~~~~~~~~
vcglib/vcg/complex/algorithms/implicit_smooth.h:255:41:   required from ‘static void vcg::ImplicitSmoother<MeshType>::Compute(MeshType&, Parameter&) [with MeshType = ravetools::MyMesh]’
  255 |         Eigen::SparseMatrix<ScalarType> L,M,B;
      |                                         ^
vcgCommon.cpp:116:54:   required from here
  116 |     vcg::ImplicitSmoother<ravetools::MyMesh>::Compute(m, par);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Product<Eigen::SparseMatrix<float, 0, int>, Eigen::SparseMatrix<float, 0, int>, 2> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:145:7:   required from ‘class Eigen::ProductImpl<Eigen::SparseMatrix<float, 0, int>, Eigen::SparseMatrix<float, 0, int>, 2, Eigen::Sparse>’
  145 | class ProductImpl : public internal::generic_xpr_base<Product<Lhs,Rhs,Option>, MatrixXpr, StorageKind>::type
      |       ^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::SparseMatrix<float, 0, int>, Eigen::SparseMatrix<float, 0, int>, 2>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
vcglib/vcg/complex/algorithms/implicit_smooth.h:324:49:   required from ‘static void vcg::ImplicitSmoother<MeshType>::Compute(MeshType&, Parameter&) [with MeshType = ravetools::MyMesh]’
  324 |         for (int i=0;i<(SParam.degree-1);i++)L=L*L;
      |                                                ~^~
vcgCommon.cpp:116:54:   required from here
  116 |     vcg::ImplicitSmoother<ravetools::MyMesh>::Compute(m, par);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::SparseMatrix<float, 0, int>, const Eigen::SparseMatrix<float, 0, int> > >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<float, float>, const Eigen::SparseMatrix<float, 0, int>, const Eigen::SparseMatrix<float, 0, int>, Eigen::Sparse>’
   36 | class CwiseBinaryOpImpl<BinaryOp, Lhs, Rhs, Sparse>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::SparseMatrix<float, 0, int>, const Eigen::SparseMatrix<float, 0, int> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
vcglib/vcg/complex/algorithms/implicit_smooth.h:327:48:   required from ‘static void vcg::ImplicitSmoother<MeshType>::Compute(MeshType&, Parameter&) [with MeshType = ravetools::MyMesh]’
  327 |         Eigen::SparseMatrix<ScalarType> S = (M + B + SParam.lambda*L);
      |                                              ~~^~~
vcgCommon.cpp:116:54:   required from here
  116 |     vcg::ImplicitSmoother<ravetools::MyMesh>::Compute(m, par);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::SparseMatrix<float, 0, int> > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/EigenBase.h:42:59:   required from ‘struct Eigen::EigenBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::SparseMatrix<float, 0, int> > >’
   42 |   typedef typename internal::traits<Derived>::StorageKind StorageKind;
      |                                                           ^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:26:34:   required from ‘class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::SparseMatrix<float, 0, int> > >’
   26 | template<typename Derived> class SparseMatrixBase
      |                                  ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::SparseMatrix<float, 0, int>, Eigen::Sparse>’
   36 | class CwiseBinaryOpImpl<BinaryOp, Lhs, Rhs, Sparse>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::SparseMatrix<float, 0, int> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
vcglib/vcg/complex/algorithms/implicit_smooth.h:327:67:   required from ‘static void vcg::ImplicitSmoother<MeshType>::Compute(MeshType&, Parameter&) [with MeshType = ravetools::MyMesh]’
  327 |         Eigen::SparseMatrix<ScalarType> S = (M + B + SParam.lambda*L);
      |                                                      ~~~~~~~~~~~~~^~
vcgCommon.cpp:116:54:   required from here
  116 |     vcg::ImplicitSmoother<ravetools::MyMesh>::Compute(m, par);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::SparseMatrix<float, 0, int> > >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::SparseMatrix<float, 0, int>, Eigen::Sparse>’
   36 | class CwiseBinaryOpImpl<BinaryOp, Lhs, Rhs, Sparse>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::SparseMatrix<float, 0, int> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
vcglib/vcg/complex/algorithms/implicit_smooth.h:327:67:   required from ‘static void vcg::ImplicitSmoother<MeshType>::Compute(MeshType&, Parameter&) [with MeshType = ravetools::MyMesh]’
  327 |         Eigen::SparseMatrix<ScalarType> S = (M + B + SParam.lambda*L);
      |                                                      ~~~~~~~~~~~~~^~
vcgCommon.cpp:116:54:   required from here
  116 |     vcg::ImplicitSmoother<ravetools::MyMesh>::Compute(m, par);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::SparseMatrix<float, 0, int>, const Eigen::SparseMatrix<float, 0, int> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::SparseMatrix<float, 0, int> > > >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::SparseMatrix<float, 0, int>, const Eigen::SparseMatrix<float, 0, int> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::SparseMatrix<float, 0, int> >, Eigen::Sparse>’
   36 | class CwiseBinaryOpImpl<BinaryOp, Lhs, Rhs, Sparse>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::SparseMatrix<float, 0, int>, const Eigen::SparseMatrix<float, 0, int> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::SparseMatrix<float, 0, int> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
vcglib/vcg/complex/algorithms/implicit_smooth.h:327:52:   required from ‘static void vcg::ImplicitSmoother<MeshType>::Compute(MeshType&, Parameter&) [with MeshType = ravetools::MyMesh]’
  327 |         Eigen::SparseMatrix<ScalarType> S = (M + B + SParam.lambda*L);
      |                                             ~~~~~~~^~~~~~~~~~~~~~~~~~
vcgCommon.cpp:116:54:   required from here
  116 |     vcg::ImplicitSmoother<ravetools::MyMesh>::Compute(m, par);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, -1, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, -1, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, -1, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<float, -1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, -1, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, -1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<float, -1, 1>’
  178 | class Matrix
      |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:264:16:   required from ‘class Eigen::SimplicialCholeskyBase<Eigen::SimplicialCholesky<Eigen::SparseMatrix<float, 0, int>, 1, Eigen::AMDOrdering<int> > >’
  264 |     VectorType m_diag;                                // the diagonal coefficients (LDLT mode)
      |                ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:511:11:   required from ‘class Eigen::SimplicialCholesky<Eigen::SparseMatrix<float, 0, int>, 1, Eigen::AMDOrdering<int> >’
  511 |     class SimplicialCholesky : public SimplicialCholeskyBase<SimplicialCholesky<_MatrixType,_UpLo,_Ordering> >
      |           ^~~~~~~~~~~~~~~~~~
vcglib/vcg/complex/algorithms/implicit_smooth.h:330:70:   required from ‘static void vcg::ImplicitSmoother<MeshType>::Compute(MeshType&, Parameter&) [with MeshType = ravetools::MyMesh]’
  330 |         Eigen::SimplicialCholesky<Eigen::SparseMatrix<ScalarType > > solver(S);
      |                                                                      ^~~~~~
vcgCommon.cpp:116:54:   required from here
  116 |     vcg::ImplicitSmoother<ravetools::MyMesh>::Compute(m, par);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::SparseMatrix<float, 0, int>, Eigen::Matrix<float, -1, -1>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::SparseMatrix<float, 0, int>, Eigen::Matrix<float, -1, -1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::SparseMatrix<float, 0, int>, Eigen::Matrix<float, -1, -1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::SparseMatrix<float, 0, int>, Eigen::Matrix<float, -1, -1>, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::SparseMatrix<float, 0, int>, Eigen::Matrix<float, -1, -1>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::SparseMatrix<float, 0, int>, Eigen::Matrix<float, -1, -1>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
vcglib/vcg/complex/algorithms/implicit_smooth.h:368:27:   required from ‘static void vcg::ImplicitSmoother<MeshType>::Compute(MeshType&, Parameter&) [with MeshType = ravetools::MyMesh]’
  368 |         V = solver.solve(M*V).eval();
      |                          ~^~
vcgCommon.cpp:116:54:   required from here
  116 |     vcg::ImplicitSmoother<ravetools::MyMesh>::Compute(m, par);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::SimplicialCholesky<Eigen::SparseMatrix<float, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::Product<Eigen::SparseMatrix<float, 0, int>, Eigen::Matrix<float, -1, -1>, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::SimplicialCholesky<Eigen::SparseMatrix<float, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::Product<Eigen::SparseMatrix<float, 0, int>, Eigen::Matrix<float, -1, -1>, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::SimplicialCholesky<Eigen::SparseMatrix<float, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::Product<Eigen::SparseMatrix<float, 0, int>, Eigen::Matrix<float, -1, -1>, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from ‘class Eigen::SolveImpl<Eigen::SimplicialCholesky<Eigen::SparseMatrix<float, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::Product<Eigen::SparseMatrix<float, 0, int>, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Dense>’
   86 | class SolveImpl<Decomposition,RhsType,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from ‘class Eigen::Solve<Eigen::SimplicialCholesky<Eigen::SparseMatrix<float, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::Product<Eigen::SparseMatrix<float, 0, int>, Eigen::Matrix<float, -1, -1>, 0> >’
   62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
      |       ^~~~~
vcglib/vcg/complex/algorithms/implicit_smooth.h:368:25:   required from ‘static void vcg::ImplicitSmoother<MeshType>::Compute(MeshType&, Parameter&) [with MeshType = ravetools::MyMesh]’
  368 |         V = solver.solve(M*V).eval();
      |             ~~~~~~~~~~~~^~~~~
vcgCommon.cpp:116:54:   required from here
  116 |     vcg::ImplicitSmoother<ravetools::MyMesh>::Compute(m, par);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::SparseMatrix<float, 0, int>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from ‘struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::SparseMatrix<float, 0, int> > >’
  336 |   typedef typename DenseCoeffsBase<Derived,ReadOnlyAccessors>::CoeffReturnType CoeffReturnType;
      |                                                                                ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8:   required from ‘struct Eigen::internal::evaluator<Eigen::SparseMatrix<float, 0, int> >’
 1505 | struct evaluator<SparseMatrix<_Scalar,_Options,_StorageIndex> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::SparseMatrix<float, 0, int> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:64:51:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::SparseMatrix<float, 0, int>, const Eigen::SparseMatrix<float, 0, int> >, Eigen::internal::IteratorBased, Eigen::internal::IteratorBased, float, float>’
   64 |   typedef typename evaluator<Lhs>::InnerIterator  LhsIterator;
      |                                                   ^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::SparseMatrix<float, 0, int>, const Eigen::SparseMatrix<float, 0, int> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::SparseMatrix<float, 0, int>, const Eigen::SparseMatrix<float, 0, int> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:64:51:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::SparseMatrix<float, 0, int>, const Eigen::SparseMatrix<float, 0, int> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::SparseMatrix<float, 0, int> > >, Eigen::internal::IteratorBased, Eigen::internal::IteratorBased, float, float>’
   64 |   typedef typename evaluator<Lhs>::InnerIterator  LhsIterator;
      |                                                   ^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::SparseMatrix<float, 0, int>, const Eigen::SparseMatrix<float, 0, int> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::SparseMatrix<float, 0, int> > > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:687:97:   required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::SparseMatrix<float, 0, int>, const Eigen::SparseMatrix<float, 0, int> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::SparseMatrix<float, 0, int> > >; _Scalar = float; int _Options = 0; _StorageIndex = int]’
  687 |       const bool needToTranspose = (Flags & RowMajorBit) != (internal::evaluator<OtherDerived>::Flags & RowMajorBit);
      |                                                                                                 ^~~~~
vcglib/vcg/complex/algorithms/implicit_smooth.h:327:41:   required from ‘static void vcg::ImplicitSmoother<MeshType>::Compute(MeshType&, Parameter&) [with MeshType = ravetools::MyMesh]’
  327 |         Eigen::SparseMatrix<ScalarType> S = (M + B + SParam.lambda*L);
      |                                         ^
vcgCommon.cpp:116:54:   required from here
  116 |     vcg::ImplicitSmoother<ravetools::MyMesh>::Compute(m, par);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<float, 0, long int> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<float, 0, long int> >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from ‘class Eigen::SparseMatrix<float, 0, long int>’
   96 | class SparseMatrix
      |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1194:15:   required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::SparseMatrix<float, 0, int>, const Eigen::SparseMatrix<float, 0, int> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::SparseMatrix<float, 0, int> > >; _Scalar = float; int _Options = 0; _StorageIndex = int]’
 1194 |     OtherCopy otherCopy(other.derived());
      |               ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:689:15:   required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::SparseMatrix<float, 0, int>, const Eigen::SparseMatrix<float, 0, int> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::SparseMatrix<float, 0, int> > >; _Scalar = float; int _Options = 0; _StorageIndex = int]’
  689 |         *this = other.derived();
      |         ~~~~~~^~~~~~~~~~~~~~~~~
vcglib/vcg/complex/algorithms/implicit_smooth.h:327:41:   required from ‘static void vcg::ImplicitSmoother<MeshType>::Compute(MeshType&, Parameter&) [with MeshType = ravetools::MyMesh]’
  327 |         Eigen::SparseMatrix<ScalarType> S = (M + B + SParam.lambda*L);
      |                                         ^
vcgCommon.cpp:116:54:   required from here
  116 |     vcg::ImplicitSmoother<ravetools::MyMesh>::Compute(m, par);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::SparseMatrix<float, 0, long int>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from ‘struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::SparseMatrix<float, 0, long int> > >’
  336 |   typedef typename DenseCoeffsBase<Derived,ReadOnlyAccessors>::CoeffReturnType CoeffReturnType;
      |                                                                                ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8:   required from ‘struct Eigen::internal::evaluator<Eigen::SparseMatrix<float, 0, long int> >’
 1505 | struct evaluator<SparseMatrix<_Scalar,_Options,_StorageIndex> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1195:19:   required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::SparseMatrix<float, 0, int>, const Eigen::SparseMatrix<float, 0, int> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::SparseMatrix<float, 0, int> > >; _Scalar = float; int _Options = 0; _StorageIndex = int]’
 1195 |     OtherCopyEval otherCopyEval(otherCopy);
      |                   ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:689:15:   required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::SparseMatrix<float, 0, int>, const Eigen::SparseMatrix<float, 0, int> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::SparseMatrix<float, 0, int> > >; _Scalar = float; int _Options = 0; _StorageIndex = int]’
  689 |         *this = other.derived();
      |         ~~~~~~^~~~~~~~~~~~~~~~~
vcglib/vcg/complex/algorithms/implicit_smooth.h:327:41:   required from ‘static void vcg::ImplicitSmoother<MeshType>::Compute(MeshType&, Parameter&) [with MeshType = ravetools::MyMesh]’
  327 |         Eigen::SparseMatrix<ScalarType> S = (M + B + SParam.lambda*L);
      |                                         ^
vcgCommon.cpp:116:54:   required from here
  116 |     vcg::ImplicitSmoother<ravetools::MyMesh>::Compute(m, par);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<float, 9>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<float, 3, 3> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, 3, 3> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<float, 3, 3>’
  178 | class Matrix
      |       ^~~~~~
vcglib/vcg/space/fitting3.h:67:24:   required from ‘void vcg::FitPlaneToPointSet(const std::vector<Point3<P3ScalarType> >&, Plane3<T, true>&) [with S = float]’
   67 |   Eigen::Matrix<S,3,3> covMat = Eigen::Matrix<S,3,3>::Zero();
      |                        ^~~~~~
vcglib/vcg/complex/algorithms/pointcloud_normal.h:83:27:   required from ‘static void vcg::tri::PointCloudNormal<MeshType>::ComputeUndirectedNormal(MeshType&, int, ScalarType, vcg::KdTree<typename SmoothMeshType::ScalarType>&, bool (*)(int, const char*)) [with MeshType = ravetools::MyMesh; ScalarType = float; typename SmoothMeshType::ScalarType = float; vcg::CallBackPos = bool(int, const char*)]’
   83 |         FitPlaneToPointSet(ptVec,plane);
      |         ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
vcglib/vcg/complex/algorithms/pointcloud_normal.h:139:28:   required from ‘static void vcg::tri::PointCloudNormal<MeshType>::Compute(MeshType&, Param, bool (*)(int, const char*)) [with MeshType = ravetools::MyMesh; vcg::CallBackPos = bool(int, const char*)]’
  139 |     ComputeUndirectedNormal(m, p.fittingAdjNum, std::numeric_limits<ScalarType>::max(), tree,cb);
      |     ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
vcgCommon.cpp:370:63:   required from here
  370 |       vcg::tri::PointCloudNormal< ravetools::MyMesh >::Compute(m,p);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 3, 3>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 3, 3>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 3, 3>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<float, 3, 3> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, 3, 3> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, 3, 3> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<float, 3, 3>’
  178 | class Matrix
      |       ^~~~~~
vcglib/vcg/space/fitting3.h:67:24:   required from ‘void vcg::FitPlaneToPointSet(const std::vector<Point3<P3ScalarType> >&, Plane3<T, true>&) [with S = float]’
   67 |   Eigen::Matrix<S,3,3> covMat = Eigen::Matrix<S,3,3>::Zero();
      |                        ^~~~~~
vcglib/vcg/complex/algorithms/pointcloud_normal.h:83:27:   required from ‘static void vcg::tri::PointCloudNormal<MeshType>::ComputeUndirectedNormal(MeshType&, int, ScalarType, vcg::KdTree<typename SmoothMeshType::ScalarType>&, bool (*)(int, const char*)) [with MeshType = ravetools::MyMesh; ScalarType = float; typename SmoothMeshType::ScalarType = float; vcg::CallBackPos = bool(int, const char*)]’
   83 |         FitPlaneToPointSet(ptVec,plane);
      |         ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
vcglib/vcg/complex/algorithms/pointcloud_normal.h:139:28:   required from ‘static void vcg::tri::PointCloudNormal<MeshType>::Compute(MeshType&, Param, bool (*)(int, const char*)) [with MeshType = ravetools::MyMesh; vcg::CallBackPos = bool(int, const char*)]’
  139 |     ComputeUndirectedNormal(m, p.fittingAdjNum, std::numeric_limits<ScalarType>::max(), tree,cb);
      |     ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
vcgCommon.cpp:370:63:   required from here
  370 |       vcg::tri::PointCloudNormal< ravetools::MyMesh >::Compute(m,p);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, 3, 3> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, 3, 3> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, 3, 3> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, 3, 3> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
vcglib/vcg/space/fitting3.h:67:59:   required from ‘void vcg::FitPlaneToPointSet(const std::vector<Point3<P3ScalarType> >&, Plane3<T, true>&) [with S = float]’
   67 |   Eigen::Matrix<S,3,3> covMat = Eigen::Matrix<S,3,3>::Zero();
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~^~
vcglib/vcg/complex/algorithms/pointcloud_normal.h:83:27:   required from ‘static void vcg::tri::PointCloudNormal<MeshType>::ComputeUndirectedNormal(MeshType&, int, ScalarType, vcg::KdTree<typename SmoothMeshType::ScalarType>&, bool (*)(int, const char*)) [with MeshType = ravetools::MyMesh; ScalarType = float; typename SmoothMeshType::ScalarType = float; vcg::CallBackPos = bool(int, const char*)]’
   83 |         FitPlaneToPointSet(ptVec,plane);
      |         ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
vcglib/vcg/complex/algorithms/pointcloud_normal.h:139:28:   required from ‘static void vcg::tri::PointCloudNormal<MeshType>::Compute(MeshType&, Param, bool (*)(int, const char*)) [with MeshType = ravetools::MyMesh; vcg::CallBackPos = bool(int, const char*)]’
  139 |     ComputeUndirectedNormal(m, p.fittingAdjNum, std::numeric_limits<ScalarType>::max(), tree,cb);
      |     ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
vcgCommon.cpp:370:63:   required from here
  370 |       vcg::tri::PointCloudNormal< ravetools::MyMesh >::Compute(m,p);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<float, 3, 3>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<float, 3, 3>, 0>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<float, 3, 3>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<float, 3, 3>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Matrix<float, 3, 3>, 0>’
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:92:21:   required from ‘class Eigen::Tridiagonalization<Eigen::Matrix<float, 3, 3> >’
   92 |             >::type DiagonalReturnType;
      |                     ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62:   required from ‘class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<float, 3, 3> >’
  111 |     typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType;
      |                                                              ^~~~~~~~~~~~~~~
vcglib/vcg/space/fitting3.h:71:56:   required from ‘void vcg::FitPlaneToPointSet(const std::vector<Point3<P3ScalarType> >&, Plane3<T, true>&) [with S = float]’
   71 |   Eigen::SelfAdjointEigenSolver<Eigen::Matrix<S,3,3> > eig(covMat);
      |                                                        ^~~
vcglib/vcg/complex/algorithms/pointcloud_normal.h:83:27:   required from ‘static void vcg::tri::PointCloudNormal<MeshType>::ComputeUndirectedNormal(MeshType&, int, ScalarType, vcg::KdTree<typename SmoothMeshType::ScalarType>&, bool (*)(int, const char*)) [with MeshType = ravetools::MyMesh; ScalarType = float; typename SmoothMeshType::ScalarType = float; vcg::CallBackPos = bool(int, const char*)]’
   83 |         FitPlaneToPointSet(ptVec,plane);
      |         ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
vcglib/vcg/complex/algorithms/pointcloud_normal.h:139:28:   required from ‘static void vcg::tri::PointCloudNormal<MeshType>::Compute(MeshType&, Param, bool (*)(int, const char*)) [with MeshType = ravetools::MyMesh; vcg::CallBackPos = bool(int, const char*)]’
  139 |     ComputeUndirectedNormal(m, p.fittingAdjNum, std::numeric_limits<ScalarType>::max(), tree,cb);
      |     ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
vcgCommon.cpp:370:63:   required from here
  370 |       vcg::tri::PointCloudNormal< ravetools::MyMesh >::Compute(m,p);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<float, 3>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<float, 3, 3>, 0> >’
  179 |     typedef typename internal::find_best_packet<Scalar,SizeAtCompileTime>::type PacketScalar;
      |                                                                                 ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<float, 3, 3>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Matrix<float, 3, 3>, 0>’
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:92:21:   required from ‘class Eigen::Tridiagonalization<Eigen::Matrix<float, 3, 3> >’
   92 |             >::type DiagonalReturnType;
      |                     ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62:   required from ‘class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<float, 3, 3> >’
  111 |     typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType;
      |                                                              ^~~~~~~~~~~~~~~
vcglib/vcg/space/fitting3.h:71:56:   required from ‘void vcg::FitPlaneToPointSet(const std::vector<Point3<P3ScalarType> >&, Plane3<T, true>&) [with S = float]’
   71 |   Eigen::SelfAdjointEigenSolver<Eigen::Matrix<S,3,3> > eig(covMat);
      |                                                        ^~~
vcglib/vcg/complex/algorithms/pointcloud_normal.h:83:27:   required from ‘static void vcg::tri::PointCloudNormal<MeshType>::ComputeUndirectedNormal(MeshType&, int, ScalarType, vcg::KdTree<typename SmoothMeshType::ScalarType>&, bool (*)(int, const char*)) [with MeshType = ravetools::MyMesh; ScalarType = float; typename SmoothMeshType::ScalarType = float; vcg::CallBackPos = bool(int, const char*)]’
   83 |         FitPlaneToPointSet(ptVec,plane);
      |         ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
vcglib/vcg/complex/algorithms/pointcloud_normal.h:139:28:   required from ‘static void vcg::tri::PointCloudNormal<MeshType>::Compute(MeshType&, Param, bool (*)(int, const char*)) [with MeshType = ravetools::MyMesh; vcg::CallBackPos = bool(int, const char*)]’
  139 |     ComputeUndirectedNormal(m, p.fittingAdjNum, std::numeric_limits<ScalarType>::max(), tree,cb);
      |     ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
vcgCommon.cpp:370:63:   required from here
  370 |       vcg::tri::PointCloudNormal< ravetools::MyMesh >::Compute(m,p);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<float, 3, 3>, -1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<float, 3, 3>, -1>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<float, 3, 3>, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<float, 3, 3>, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Matrix<float, 3, 3>, -1>’
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:97:21:   required from ‘class Eigen::Tridiagonalization<Eigen::Matrix<float, 3, 3> >’
   97 |             >::type SubDiagonalReturnType;
      |                     ^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62:   required from ‘class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<float, 3, 3> >’
  111 |     typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType;
      |                                                              ^~~~~~~~~~~~~~~
vcglib/vcg/space/fitting3.h:71:56:   required from ‘void vcg::FitPlaneToPointSet(const std::vector<Point3<P3ScalarType> >&, Plane3<T, true>&) [with S = float]’
   71 |   Eigen::SelfAdjointEigenSolver<Eigen::Matrix<S,3,3> > eig(covMat);
      |                                                        ^~~
vcglib/vcg/complex/algorithms/pointcloud_normal.h:83:27:   required from ‘static void vcg::tri::PointCloudNormal<MeshType>::ComputeUndirectedNormal(MeshType&, int, ScalarType, vcg::KdTree<typename SmoothMeshType::ScalarType>&, bool (*)(int, const char*)) [with MeshType = ravetools::MyMesh; ScalarType = float; typename SmoothMeshType::ScalarType = float; vcg::CallBackPos = bool(int, const char*)]’
   83 |         FitPlaneToPointSet(ptVec,plane);
      |         ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
vcglib/vcg/complex/algorithms/pointcloud_normal.h:139:28:   required from ‘static void vcg::tri::PointCloudNormal<MeshType>::Compute(MeshType&, Param, bool (*)(int, const char*)) [with MeshType = ravetools::MyMesh; vcg::CallBackPos = bool(int, const char*)]’
  139 |     ComputeUndirectedNormal(m, p.fittingAdjNum, std::numeric_limits<ScalarType>::max(), tree,cb);
      |     ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
vcgCommon.cpp:370:63:   required from here
  370 |       vcg::tri::PointCloudNormal< ravetools::MyMesh >::Compute(m,p);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<float, 2>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<float, 3, 3>, -1> >’
  179 |     typedef typename internal::find_best_packet<Scalar,SizeAtCompileTime>::type PacketScalar;
      |                                                                                 ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<float, 3, 3>, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Matrix<float, 3, 3>, -1>’
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:97:21:   required from ‘class Eigen::Tridiagonalization<Eigen::Matrix<float, 3, 3> >’
   97 |             >::type SubDiagonalReturnType;
      |                     ^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62:   required from ‘class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<float, 3, 3> >’
  111 |     typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType;
      |                                                              ^~~~~~~~~~~~~~~
vcglib/vcg/space/fitting3.h:71:56:   required from ‘void vcg::FitPlaneToPointSet(const std::vector<Point3<P3ScalarType> >&, Plane3<T, true>&) [with S = float]’
   71 |   Eigen::SelfAdjointEigenSolver<Eigen::Matrix<S,3,3> > eig(covMat);
      |                                                        ^~~
vcglib/vcg/complex/algorithms/pointcloud_normal.h:83:27:   required from ‘static void vcg::tri::PointCloudNormal<MeshType>::ComputeUndirectedNormal(MeshType&, int, ScalarType, vcg::KdTree<typename SmoothMeshType::ScalarType>&, bool (*)(int, const char*)) [with MeshType = ravetools::MyMesh; ScalarType = float; typename SmoothMeshType::ScalarType = float; vcg::CallBackPos = bool(int, const char*)]’
   83 |         FitPlaneToPointSet(ptVec,plane);
      |         ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
vcglib/vcg/complex/algorithms/pointcloud_normal.h:139:28:   required from ‘static void vcg::tri::PointCloudNormal<MeshType>::Compute(MeshType&, Param, bool (*)(int, const char*)) [with MeshType = ravetools::MyMesh; vcg::CallBackPos = bool(int, const char*)]’
  139 |     ComputeUndirectedNormal(m, p.fittingAdjNum, std::numeric_limits<ScalarType>::max(), tree,cb);
      |     ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
vcgCommon.cpp:370:63:   required from here
  370 |       vcg::tri::PointCloudNormal< ravetools::MyMesh >::Compute(m,p);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 2, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 2, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 2, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<float, 2, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, 2, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:100:128:   required from ‘class Eigen::Tridiagonalization<Eigen::Matrix<float, 3, 3> >’
  100 |     typedef HouseholderSequence<MatrixType,typename internal::remove_all<typename CoeffVectorType::ConjugateReturnType>::type> HouseholderSequenceType;
      |                                                                                                                                ^~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62:   required from ‘class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<float, 3, 3> >’
  111 |     typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType;
      |                                                              ^~~~~~~~~~~~~~~
vcglib/vcg/space/fitting3.h:71:56:   required from ‘void vcg::FitPlaneToPointSet(const std::vector<Point3<P3ScalarType> >&, Plane3<T, true>&) [with S = float]’
   71 |   Eigen::SelfAdjointEigenSolver<Eigen::Matrix<S,3,3> > eig(covMat);
      |                                                        ^~~
vcglib/vcg/complex/algorithms/pointcloud_normal.h:83:27:   required from ‘static void vcg::tri::PointCloudNormal<MeshType>::ComputeUndirectedNormal(MeshType&, int, ScalarType, vcg::KdTree<typename SmoothMeshType::ScalarType>&, bool (*)(int, const char*)) [with MeshType = ravetools::MyMesh; ScalarType = float; typename SmoothMeshType::ScalarType = float; vcg::CallBackPos = bool(int, const char*)]’
   83 |         FitPlaneToPointSet(ptVec,plane);
      |         ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
vcglib/vcg/complex/algorithms/pointcloud_normal.h:139:28:   required from ‘static void vcg::tri::PointCloudNormal<MeshType>::Compute(MeshType&, Param, bool (*)(int, const char*)) [with MeshType = ravetools::MyMesh; vcg::CallBackPos = bool(int, const char*)]’
  139 |     ComputeUndirectedNormal(m, p.fittingAdjNum, std::numeric_limits<ScalarType>::max(), tree,cb);
      |     ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
vcgCommon.cpp:370:63:   required from here
  370 |       vcg::tri::PointCloudNormal< ravetools::MyMesh >::Compute(m,p);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 3, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 3, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 3, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<float, 3, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, 3, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, 3, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<float, 3, 1>’
  178 | class Matrix
      |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:382:20:   required from ‘class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<float, 3, 3> >’
  382 |     RealVectorType m_eivalues;
      |                    ^~~~~~~~~~
vcglib/vcg/space/fitting3.h:71:56:   required from ‘void vcg::FitPlaneToPointSet(const std::vector<Point3<P3ScalarType> >&, Plane3<T, true>&) [with S = float]’
   71 |   Eigen::SelfAdjointEigenSolver<Eigen::Matrix<S,3,3> > eig(covMat);
      |                                                        ^~~
vcglib/vcg/complex/algorithms/pointcloud_normal.h:83:27:   required from ‘static void vcg::tri::PointCloudNormal<MeshType>::ComputeUndirectedNormal(MeshType&, int, ScalarType, vcg::KdTree<typename SmoothMeshType::ScalarType>&, bool (*)(int, const char*)) [with MeshType = ravetools::MyMesh; ScalarType = float; typename SmoothMeshType::ScalarType = float; vcg::CallBackPos = bool(int, const char*)]’
   83 |         FitPlaneToPointSet(ptVec,plane);
      |         ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
vcglib/vcg/complex/algorithms/pointcloud_normal.h:139:28:   required from ‘static void vcg::tri::PointCloudNormal<MeshType>::Compute(MeshType&, Param, bool (*)(int, const char*)) [with MeshType = ravetools::MyMesh; vcg::CallBackPos = bool(int, const char*)]’
  139 |     ComputeUndirectedNormal(m, p.fittingAdjNum, std::numeric_limits<ScalarType>::max(), tree,cb);
      |     ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
vcgCommon.cpp:370:63:   required from here
  370 |       vcg::tri::PointCloudNormal< ravetools::MyMesh >::Compute(m,p);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Matrix<float, 3, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Matrix<float, 3, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Matrix<float, 3, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<float>, const Eigen::Matrix<float, 3, 1>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Matrix<float, 3, 1> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
vcglib/vcg/space/fitting3.h:74:23:   required from ‘void vcg::FitPlaneToPointSet(const std::vector<Point3<P3ScalarType> >&, Plane3<T, true>&) [with S = float]’
   74 |   eval = eval.cwiseAbs();
      |          ~~~~~~~~~~~~~^~
vcglib/vcg/complex/algorithms/pointcloud_normal.h:83:27:   required from ‘static void vcg::tri::PointCloudNormal<MeshType>::ComputeUndirectedNormal(MeshType&, int, ScalarType, vcg::KdTree<typename SmoothMeshType::ScalarType>&, bool (*)(int, const char*)) [with MeshType = ravetools::MyMesh; ScalarType = float; typename SmoothMeshType::ScalarType = float; vcg::CallBackPos = bool(int, const char*)]’
   83 |         FitPlaneToPointSet(ptVec,plane);
      |         ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
vcglib/vcg/complex/algorithms/pointcloud_normal.h:139:28:   required from ‘static void vcg::tri::PointCloudNormal<MeshType>::Compute(MeshType&, Param, bool (*)(int, const char*)) [with MeshType = ravetools::MyMesh; vcg::CallBackPos = bool(int, const char*)]’
  139 |     ComputeUndirectedNormal(m, p.fittingAdjNum, std::numeric_limits<ScalarType>::max(), tree,cb);
      |     ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
vcgCommon.cpp:370:63:   required from here
  370 |       vcg::tri::PointCloudNormal< ravetools::MyMesh >::Compute(m,p);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<float, 1, int> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<float, 1, int> >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from ‘class Eigen::SparseMatrix<float, 1, int>’
   96 | class SparseMatrix
      |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1040:66:   required from ‘void Eigen::internal::set_from_triplets(const InputIterator&, const InputIterator&, SparseMatrixType&, DupFunctor) [with InputIterator = __gnu_cxx::__normal_iterator<Eigen::Triplet<float, int>*, std::vector<Eigen::Triplet<float, int>, std::allocator<Eigen::Triplet<float, int> > > >; SparseMatrixType = Eigen::SparseMatrix<float, 0, int>; DupFunctor = scalar_sum_op<float, float>]’
 1040 |   SparseMatrix<Scalar,IsRowMajor?ColMajor:RowMajor,StorageIndex> trMat(mat.rows(),mat.cols());
      |                                                                  ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1110:92:   required from ‘void Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::setFromTriplets(const InputIterators&, const InputIterators&) [with InputIterators = __gnu_cxx::__normal_iterator<Eigen::Triplet<float, int>*, std::vector<Eigen::Triplet<float, int>, std::allocator<Eigen::Triplet<float, int> > > >; _Scalar = float; int _Options = 0; _StorageIndex = int]’
 1110 |   internal::set_from_triplets<InputIterators, SparseMatrix<Scalar,_Options,_StorageIndex> >(begin, end, *this, internal::scalar_sum_op<Scalar,Scalar>());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
vcglib/vcg/complex/algorithms/implicit_smooth.h:129:26:   required from ‘static void vcg::ImplicitSmoother<MeshType>::InitSparse(const std::vector<std::pair<int, int> >&, const std::vector<typename StatMeshType::ScalarType>&, int, int, Eigen::SparseMatrix<typename MeshType::ScalarType>&) [with MeshType = ravetools::MyMesh; typename StatMeshType::ScalarType = float; typename MeshType::ScalarType = float]’
  129 |         X.setFromTriplets(IJV.begin(),IJV.end());
      |         ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
vcglib/vcg/complex/algorithms/implicit_smooth.h:292:23:   required from ‘static void vcg::ImplicitSmoother<MeshType>::Compute(MeshType&, Parameter&) [with MeshType = ravetools::MyMesh]’
  292 |             InitSparse(IndexM,ValuesM,matr_size*3,matr_size*3,M);
      |             ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
vcgCommon.cpp:116:54:   required from here
  116 |     vcg::ImplicitSmoother<ravetools::MyMesh>::Compute(m, par);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from vcglib/vcg/complex/algorithms/create/resampler.h:32:
vcglib/vcg/space/index/kdtree/kdtree_face.h: In instantiation of ‘int vcg::KdTreeFace<MeshType>::CreateTree(unsigned int, unsigned int) [with MeshType = ravetools::MyMesh]’:
vcglib/vcg/space/index/kdtree/kdtree_face.h:116:18:   required from ‘void vcg::KdTreeFace<MeshType>::Set(const ObjIter&, const ObjIter&, int, bool) [with ObjIter = __gnu_cxx::__normal_iterator<ravetools::MyFace*, std::vector<ravetools::MyFace, std::allocator<ravetools::MyFace> > >; MeshType = ravetools::MyMesh]’
  116 |       numLevel = CreateTree(0, 1);
      |                  ^~~~~~~~~~
vcglib/vcg/complex/algorithms/create/resampler.h:340:13:   required from ‘void vcg::tri::Resampler<OldMeshType, NewMeshType, DISTFUNCTOR>::Walker::BuildMesh(OldMeshType&, NewMeshType&, EXTRACTOR_TYPE&, bool (*)(int, const char*)) [with EXTRACTOR_TYPE = vcg::tri::MarchingCubes<ravetools::MyMesh, vcg::tri::Resampler<ravetools::MyMesh, ravetools::MyMesh>::Walker>; OldMeshType = ravetools::MyMesh; NewMeshType = ravetools::MyMesh; DISTFUNCTOR = vcg::face::PointDistanceBaseFunctor<float>; vcg::CallBackPos = bool(int, const char*)]’
  340 |       _g.Set(_oldM->face.begin(),_oldM->face.end(),_size);
      |       ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
vcglib/vcg/complex/algorithms/create/resampler.h:631:21:   required from ‘static void vcg::tri::Resampler<OldMeshType, NewMeshType, DISTFUNCTOR>::Resample(OldMeshType&, NewMeshType&, NewBoxType, vcg::Point3<int>, float, float, bool, bool, bool, bool (*)(int, const char*)) [with OldMeshType = ravetools::MyMesh; NewMeshType = ravetools::MyMesh; DISTFUNCTOR = vcg::face::PointDistanceBaseFunctor<float>; NewBoxType = vcg::Box3<float>; vcg::CallBackPos = bool(int, const char*)]’
  631 |     walker.BuildMesh(old_mesh,new_mesh,mc,cb);
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
vcgCommon.cpp:295:74:   required from here
  295 |     vcg::tri::Resampler< ravetools::MyMesh, ravetools::MyMesh >::Resample(
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  296 |         baseMesh, offsetMesh, volumeBox, volumeDim, voxelSize * 3.5f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~     
  297 |         offsetThr, discretizeFlag, multiSampleFlag, absDistFlag
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
  298 |     );
      |     ~                                                                     
vcglib/vcg/space/index/kdtree/kdtree_face.h:270:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<ravetools::MyFace*, std::allocator<ravetools::MyFace*> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  270 |       for (int i = 0; i < parent.list.size(); i++)
      |                       ~~^~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<float, 3, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<float, 3, 1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<float, 3, 1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<float, 3, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<float, 3, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Matrix<float, 3, 1>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Matrix<float, 3, 1> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
vcglib/vcg/space/fitting3.h:55:22:   required from ‘void vcg::ComputeCovarianceMatrix(const std::vector<Point3<P3ScalarType> >&, Point3<P3ScalarType>&, Eigen::Matrix<Type, 3, 3>&) [with S = float]’
   55 |     m+= p*p.transpose(); // outer product
      |           ~~~~~~~~~~~^~
vcglib/vcg/space/fitting3.h:69:26:   required from ‘void vcg::FitPlaneToPointSet(const std::vector<Point3<P3ScalarType> >&, Plane3<T, true>&) [with S = float]’
   69 |   ComputeCovarianceMatrix(pointVec,b,covMat);
      |   ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
vcglib/vcg/complex/algorithms/pointcloud_normal.h:83:27:   required from ‘static void vcg::tri::PointCloudNormal<MeshType>::ComputeUndirectedNormal(MeshType&, int, ScalarType, vcg::KdTree<typename SmoothMeshType::ScalarType>&, bool (*)(int, const char*)) [with MeshType = ravetools::MyMesh; ScalarType = float; typename SmoothMeshType::ScalarType = float; vcg::CallBackPos = bool(int, const char*)]’
   83 |         FitPlaneToPointSet(ptVec,plane);
      |         ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
vcglib/vcg/complex/algorithms/pointcloud_normal.h:139:28:   required from ‘static void vcg::tri::PointCloudNormal<MeshType>::Compute(MeshType&, Param, bool (*)(int, const char*)) [with MeshType = ravetools::MyMesh; vcg::CallBackPos = bool(int, const char*)]’
  139 |     ComputeUndirectedNormal(m, p.fittingAdjNum, std::numeric_limits<ScalarType>::max(), tree,cb);
      |     ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
vcgCommon.cpp:370:63:   required from here
  370 |       vcg::tri::PointCloudNormal< ravetools::MyMesh >::Compute(m,p);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<float, 3, 1>, Eigen::Transpose<Eigen::Matrix<float, 3, 1> >, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<float, 3, 1>, Eigen::Transpose<Eigen::Matrix<float, 3, 1> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<float, 3, 1>, Eigen::Transpose<Eigen::Matrix<float, 3, 1> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<float, 3, 1>, Eigen::Transpose<Eigen::Matrix<float, 3, 1> >, 0, 4>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<float, 3, 1>, Eigen::Transpose<Eigen::Matrix<float, 3, 1> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<float, 3, 1>, Eigen::Transpose<Eigen::Matrix<float, 3, 1> >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
vcglib/vcg/space/fitting3.h:55:10:   required from ‘void vcg::ComputeCovarianceMatrix(const std::vector<Point3<P3ScalarType> >&, Point3<P3ScalarType>&, Eigen::Matrix<Type, 3, 3>&) [with S = float]’
   55 |     m+= p*p.transpose(); // outer product
      |         ~^~~~~~~~~~~~~~
vcglib/vcg/space/fitting3.h:69:26:   required from ‘void vcg::FitPlaneToPointSet(const std::vector<Point3<P3ScalarType> >&, Plane3<T, true>&) [with S = float]’
   69 |   ComputeCovarianceMatrix(pointVec,b,covMat);
      |   ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
vcglib/vcg/complex/algorithms/pointcloud_normal.h:83:27:   required from ‘static void vcg::tri::PointCloudNormal<MeshType>::ComputeUndirectedNormal(MeshType&, int, ScalarType, vcg::KdTree<typename SmoothMeshType::ScalarType>&, bool (*)(int, const char*)) [with MeshType = ravetools::MyMesh; ScalarType = float; typename SmoothMeshType::ScalarType = float; vcg::CallBackPos = bool(int, const char*)]’
   83 |         FitPlaneToPointSet(ptVec,plane);
      |         ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
vcglib/vcg/complex/algorithms/pointcloud_normal.h:139:28:   required from ‘static void vcg::tri::PointCloudNormal<MeshType>::Compute(MeshType&, Param, bool (*)(int, const char*)) [with MeshType = ravetools::MyMesh; vcg::CallBackPos = bool(int, const char*)]’
  139 |     ComputeUndirectedNormal(m, p.fittingAdjNum, std::numeric_limits<ScalarType>::max(), tree,cb);
      |     ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
vcgCommon.cpp:370:63:   required from here
  370 |       vcg::tri::PointCloudNormal< ravetools::MyMesh >::Compute(m,p);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::SparseMatrix<float, 1, int>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from ‘struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::SparseMatrix<float, 1, int> > >’
  336 |   typedef typename DenseCoeffsBase<Derived,ReadOnlyAccessors>::CoeffReturnType CoeffReturnType;
      |                                                                                ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8:   required from ‘struct Eigen::internal::evaluator<Eigen::SparseMatrix<float, 1, int> >’
 1505 | struct evaluator<SparseMatrix<_Scalar,_Options,_StorageIndex> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1181:93:   required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::SparseMatrix<float, 1, int>; _Scalar = float; int _Options = 0; _StorageIndex = int]’
 1181 |   const bool needToTranspose = (Flags & RowMajorBit) != (internal::evaluator<OtherDerived>::Flags & RowMajorBit);
      |                                                                                             ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1063:7:   required from ‘void Eigen::internal::set_from_triplets(const InputIterator&, const InputIterator&, SparseMatrixType&, DupFunctor) [with InputIterator = __gnu_cxx::__normal_iterator<Eigen::Triplet<float, int>*, std::vector<Eigen::Triplet<float, int>, std::allocator<Eigen::Triplet<float, int> > > >; SparseMatrixType = Eigen::SparseMatrix<float, 0, int>; DupFunctor = scalar_sum_op<float, float>]’
 1063 |   mat = trMat;
      |   ~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1110:92:   required from ‘void Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::setFromTriplets(const InputIterators&, const InputIterators&) [with InputIterators = __gnu_cxx::__normal_iterator<Eigen::Triplet<float, int>*, std::vector<Eigen::Triplet<float, int>, std::allocator<Eigen::Triplet<float, int> > > >; _Scalar = float; int _Options = 0; _StorageIndex = int]’
 1110 |   internal::set_from_triplets<InputIterators, SparseMatrix<Scalar,_Options,_StorageIndex> >(begin, end, *this, internal::scalar_sum_op<Scalar,Scalar>());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
vcglib/vcg/complex/algorithms/implicit_smooth.h:129:26:   required from ‘static void vcg::ImplicitSmoother<MeshType>::InitSparse(const std::vector<std::pair<int, int> >&, const std::vector<typename StatMeshType::ScalarType>&, int, int, Eigen::SparseMatrix<typename MeshType::ScalarType>&) [with MeshType = ravetools::MyMesh; typename StatMeshType::ScalarType = float; typename MeshType::ScalarType = float]’
  129 |         X.setFromTriplets(IJV.begin(),IJV.end());
      |         ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
vcglib/vcg/complex/algorithms/implicit_smooth.h:292:23:   required from ‘static void vcg::ImplicitSmoother<MeshType>::Compute(MeshType&, Parameter&) [with MeshType = ravetools::MyMesh]’
  292 |             InitSparse(IndexM,ValuesM,matr_size*3,matr_size*3,M);
      |             ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
vcgCommon.cpp:116:54:   required from here
  116 |     vcg::ImplicitSmoother<ravetools::MyMesh>::Compute(m, par);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Matrix<float, 3, 3> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Matrix<float, 3, 3> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Matrix<float, 3, 3> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<float>, const Eigen::Matrix<float, 3, 3>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Matrix<float, 3, 3> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:453:34:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<float, 3, 3>; _MatrixType = Eigen::Matrix<float, 3, 3>]’
  453 |   RealScalar scale = mat.cwiseAbs().maxCoeff();
      |                      ~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<float, 3, 3>; _MatrixType = Eigen::Matrix<float, 3, 3>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
vcglib/vcg/space/fitting3.h:71:56:   required from ‘void vcg::FitPlaneToPointSet(const std::vector<Point3<P3ScalarType> >&, Plane3<T, true>&) [with S = float]’
   71 |   Eigen::SelfAdjointEigenSolver<Eigen::Matrix<S,3,3> > eig(covMat);
      |                                                        ^~~
vcglib/vcg/complex/algorithms/pointcloud_normal.h:83:27:   required from ‘static void vcg::tri::PointCloudNormal<MeshType>::ComputeUndirectedNormal(MeshType&, int, ScalarType, vcg::KdTree<typename SmoothMeshType::ScalarType>&, bool (*)(int, const char*)) [with MeshType = ravetools::MyMesh; ScalarType = float; typename SmoothMeshType::ScalarType = float; vcg::CallBackPos = bool(int, const char*)]’
   83 |         FitPlaneToPointSet(ptVec,plane);
      |         ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
vcglib/vcg/complex/algorithms/pointcloud_normal.h:139:28:   required from ‘static void vcg::tri::PointCloudNormal<MeshType>::Compute(MeshType&, Param, bool (*)(int, const char*)) [with MeshType = ravetools::MyMesh; vcg::CallBackPos = bool(int, const char*)]’
  139 |     ComputeUndirectedNormal(m, p.fittingAdjNum, std::numeric_limits<ScalarType>::max(), tree,cb);
      |     ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
vcgCommon.cpp:370:63:   required from here
  370 |       vcg::tri::PointCloudNormal< ravetools::MyMesh >::Compute(m,p);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
vcglib/vcg/space/index/kdtree/kdtree_face.h: In instantiation of ‘vcg::KdTreeFace<MeshType>::FacePointer vcg::KdTreeFace<MeshType>::GetClosest(ObjPointDistFunction&, ObjectMarker&, const VectorType&, Scalar, Scalar&, VectorType&) [with ObjPointDistFunction = vcg::face::PointDistanceBaseFunctor<float>; ObjectMarker = vcg::tri::EmptyTMark<ravetools::MyMesh>; MeshType = ravetools::MyMesh; FacePointer = ravetools::MyFace*; VectorType = vcg::Point3<float>; Scalar = float]’:
vcglib/vcg/complex/algorithms/create/resampler.h:174:37:   required from ‘vcg::tri::Resampler<OldMeshType, NewMeshType, DISTFUNCTOR>::Walker::field_value vcg::tri::Resampler<OldMeshType, NewMeshType, DISTFUNCTOR>::Walker::DistanceFromMesh(vcg::tri::Resampler<OldMeshType, NewMeshType, DISTFUNCTOR>::OldCoordType&) [with OldMeshType = ravetools::MyMesh; NewMeshType = ravetools::MyMesh; DISTFUNCTOR = vcg::face::PointDistanceBaseFunctor<float>; field_value = std::pair<bool, float>; vcg::tri::Resampler<OldMeshType, NewMeshType, DISTFUNCTOR>::OldCoordType = vcg::Point3<float>]’
  174 |       OldFaceType *f = _g.GetClosest(PDistFunct,markerFunctor,testPt,max_dist,dist,closestPt);
      |                        ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
vcglib/vcg/complex/algorithms/create/resampler.h:258:38:   required from ‘void vcg::tri::Resampler<OldMeshType, NewMeshType, DISTFUNCTOR>::Walker::ComputeSliceValues(int, std::vector<std::pair<bool, float> >&) [with OldMeshType = ravetools::MyMesh; NewMeshType = ravetools::MyMesh; DISTFUNCTOR = vcg::face::PointDistanceBaseFunctor<float>]’
  258 |           else  slice_values[index] = DistanceFromMesh(pp);
      |                                       ^~~~~~~~~~~~~~~~
vcglib/vcg/complex/algorithms/create/resampler.h:408:7:   required from ‘void vcg::tri::Resampler<OldMeshType, NewMeshType, DISTFUNCTOR>::Walker::Begin() [with OldMeshType = ravetools::MyMesh; NewMeshType = ravetools::MyMesh; DISTFUNCTOR = vcg::face::PointDistanceBaseFunctor<float>]’
  408 |       ComputeSliceValues(CurrentSlice,_v_cs);
      |       ^~~~~~~~~~~~~~~~~~
vcglib/vcg/complex/algorithms/create/resampler.h:345:7:   required from ‘void vcg::tri::Resampler<OldMeshType, NewMeshType, DISTFUNCTOR>::Walker::BuildMesh(OldMeshType&, NewMeshType&, EXTRACTOR_TYPE&, bool (*)(int, const char*)) [with EXTRACTOR_TYPE = vcg::tri::MarchingCubes<ravetools::MyMesh, vcg::tri::Resampler<ravetools::MyMesh, ravetools::MyMesh>::Walker>; OldMeshType = ravetools::MyMesh; NewMeshType = ravetools::MyMesh; DISTFUNCTOR = vcg::face::PointDistanceBaseFunctor<float>; vcg::CallBackPos = bool(int, const char*)]’
  345 |       Begin();
      |       ^~~~~
vcglib/vcg/complex/algorithms/create/resampler.h:631:21:   required from ‘static void vcg::tri::Resampler<OldMeshType, NewMeshType, DISTFUNCTOR>::Resample(OldMeshType&, NewMeshType&, NewBoxType, vcg::Point3<int>, float, float, bool, bool, bool, bool (*)(int, const char*)) [with OldMeshType = ravetools::MyMesh; NewMeshType = ravetools::MyMesh; DISTFUNCTOR = vcg::face::PointDistanceBaseFunctor<float>; NewBoxType = vcg::Box3<float>; vcg::CallBackPos = bool(int, const char*)]’
  631 |     walker.BuildMesh(old_mesh,new_mesh,mc,cb);
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
vcgCommon.cpp:295:74:   required from here
  295 |     vcg::tri::Resampler< ravetools::MyMesh, ravetools::MyMesh >::Resample(
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  296 |         baseMesh, offsetMesh, volumeBox, volumeDim, voxelSize * 3.5f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~     
  297 |         offsetThr, discretizeFlag, multiSampleFlag, absDistFlag
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           
  298 |     );
      |     ~                                                                     
vcglib/vcg/space/index/kdtree/kdtree_face.h:153:31: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<ravetools::MyFace*, std::allocator<ravetools::MyFace*> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
  153 |             for (int i = 0; i < node.list.size(); i++)
      |                             ~~^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 3, 3> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 3, 3> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 3, 3> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 3, 3> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Matrix<float, 3, 3>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 3, 3> > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Matrix<float, 3, 3>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 3, 3> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:455:40:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<float, 3, 3>; _MatrixType = Eigen::Matrix<float, 3, 3>]’
  455 |   mat.template triangularView<Lower>() /= scale;
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<float, 3, 3>; _MatrixType = Eigen::Matrix<float, 3, 3>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
vcglib/vcg/space/fitting3.h:71:56:   required from ‘void vcg::FitPlaneToPointSet(const std::vector<Point3<P3ScalarType> >&, Plane3<T, true>&) [with S = float]’
   71 |   Eigen::SelfAdjointEigenSolver<Eigen::Matrix<S,3,3> > eig(covMat);
      |                                                        ^~~
vcglib/vcg/complex/algorithms/pointcloud_normal.h:83:27:   required from ‘static void vcg::tri::PointCloudNormal<MeshType>::ComputeUndirectedNormal(MeshType&, int, ScalarType, vcg::KdTree<typename SmoothMeshType::ScalarType>&, bool (*)(int, const char*)) [with MeshType = ravetools::MyMesh; ScalarType = float; typename SmoothMeshType::ScalarType = float; vcg::CallBackPos = bool(int, const char*)]’
   83 |         FitPlaneToPointSet(ptVec,plane);
      |         ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
vcglib/vcg/complex/algorithms/pointcloud_normal.h:139:28:   required from ‘static void vcg::tri::PointCloudNormal<MeshType>::Compute(MeshType&, Param, bool (*)(int, const char*)) [with MeshType = ravetools::MyMesh; vcg::CallBackPos = bool(int, const char*)]’
  139 |     ComputeUndirectedNormal(m, p.fittingAdjNum, std::numeric_limits<ScalarType>::max(), tree,cb);
      |     ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
vcgCommon.cpp:370:63:   required from here
  370 |       vcg::tri::PointCloudNormal< ravetools::MyMesh >::Compute(m,p);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Matrix<float, 3, 3>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 3, 3> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Matrix<float, 3, 3>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 3, 3> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Matrix<float, 3, 3>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 3, 3> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Matrix<float, 3, 3>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 3, 3> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Matrix<float, 3, 3>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 3, 3> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:398:143:   required from ‘Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::TriangularViewType& Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::operator/=(const typename Eigen::internal::traits<T>::Scalar&) [with _MatrixType = Eigen::Matrix<float, 3, 3>; unsigned int _Mode = 1; TriangularViewType = Eigen::TriangularView<Eigen::Matrix<float, 3, 3>, 1>; typename Eigen::internal::traits<T>::Scalar = float]’
  398 |     TriangularViewType&  operator/=(const typename internal::traits<MatrixType>::Scalar& other) { return *this = derived().nestedExpression() / other; }
      |                                                                                                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:455:40:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<float, 3, 3>; _MatrixType = Eigen::Matrix<float, 3, 3>]’
  455 |   mat.template triangularView<Lower>() /= scale;
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<float, 3, 3>; _MatrixType = Eigen::Matrix<float, 3, 3>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
vcglib/vcg/space/fitting3.h:71:56:   required from ‘void vcg::FitPlaneToPointSet(const std::vector<Point3<P3ScalarType> >&, Plane3<T, true>&) [with S = float]’
   71 |   Eigen::SelfAdjointEigenSolver<Eigen::Matrix<S,3,3> > eig(covMat);
      |                                                        ^~~
vcglib/vcg/complex/algorithms/pointcloud_normal.h:83:27:   required from ‘static void vcg::tri::PointCloudNormal<MeshType>::ComputeUndirectedNormal(MeshType&, int, ScalarType, vcg::KdTree<typename SmoothMeshType::ScalarType>&, bool (*)(int, const char*)) [with MeshType = ravetools::MyMesh; ScalarType = float; typename SmoothMeshType::ScalarType = float; vcg::CallBackPos = bool(int, const char*)]’
   83 |         FitPlaneToPointSet(ptVec,plane);
      |         ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
vcglib/vcg/complex/algorithms/pointcloud_normal.h:139:28:   required from ‘static void vcg::tri::PointCloudNormal<MeshType>::Compute(MeshType&, Param, bool (*)(int, const char*)) [with MeshType = ravetools::MyMesh; vcg::CallBackPos = bool(int, const char*)]’
  139 |     ComputeUndirectedNormal(m, p.fittingAdjNum, std::numeric_limits<ScalarType>::max(), tree,cb);
      |     ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
vcgCommon.cpp:370:63:   required from here
  370 |       vcg::tri::PointCloudNormal< ravetools::MyMesh >::Compute(m,p);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, 3, 1>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, 3, 1>, -1, 1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, 3, 1>, -1, 1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<float, 3, 1>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<float, 3, 1>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<float, 3, 1>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<float, 3, 3>; _MatrixType = Eigen::Matrix<float, 3, 3>]’
  460 |   m_info = internal::computeFromTridiagonal_impl(diag, m_subdiag, m_maxIterations, computeEigenvectors, m_eivec);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<float, 3, 3>; _MatrixType = Eigen::Matrix<float, 3, 3>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
vcglib/vcg/space/fitting3.h:71:56:   required from ‘void vcg::FitPlaneToPointSet(const std::vector<Point3<P3ScalarType> >&, Plane3<T, true>&) [with S = float]’
   71 |   Eigen::SelfAdjointEigenSolver<Eigen::Matrix<S,3,3> > eig(covMat);
      |                                                        ^~~
vcglib/vcg/complex/algorithms/pointcloud_normal.h:83:27:   required from ‘static void vcg::tri::PointCloudNormal<MeshType>::ComputeUndirectedNormal(MeshType&, int, ScalarType, vcg::KdTree<typename SmoothMeshType::ScalarType>&, bool (*)(int, const char*)) [with MeshType = ravetools::MyMesh; ScalarType = float; typename SmoothMeshType::ScalarType = float; vcg::CallBackPos = bool(int, const char*)]’
   83 |         FitPlaneToPointSet(ptVec,plane);
      |         ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
vcglib/vcg/complex/algorithms/pointcloud_normal.h:139:28:   required from ‘static void vcg::tri::PointCloudNormal<MeshType>::Compute(MeshType&, Param, bool (*)(int, const char*)) [with MeshType = ravetools::MyMesh; vcg::CallBackPos = bool(int, const char*)]’
  139 |     ComputeUndirectedNormal(m, p.fittingAdjNum, std::numeric_limits<ScalarType>::max(), tree,cb);
      |     ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
vcgCommon.cpp:370:63:   required from here
  370 |       vcg::tri::PointCloudNormal< ravetools::MyMesh >::Compute(m,p);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, 3, 3>, 3, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, 3, 3>, 3, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, 3, 3>, 3, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<float, 3, 3>, 3, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<float, 3, 3>, 3, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<float, 3, 3>, 3, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<float, 3, 3>; _MatrixType = Eigen::Matrix<float, 3, 3>]’
  460 |   m_info = internal::computeFromTridiagonal_impl(diag, m_subdiag, m_maxIterations, computeEigenvectors, m_eivec);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<float, 3, 3>; _MatrixType = Eigen::Matrix<float, 3, 3>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
vcglib/vcg/space/fitting3.h:71:56:   required from ‘void vcg::FitPlaneToPointSet(const std::vector<Point3<P3ScalarType> >&, Plane3<T, true>&) [with S = float]’
   71 |   Eigen::SelfAdjointEigenSolver<Eigen::Matrix<S,3,3> > eig(covMat);
      |                                                        ^~~
vcglib/vcg/complex/algorithms/pointcloud_normal.h:83:27:   required from ‘static void vcg::tri::PointCloudNormal<MeshType>::ComputeUndirectedNormal(MeshType&, int, ScalarType, vcg::KdTree<typename SmoothMeshType::ScalarType>&, bool (*)(int, const char*)) [with MeshType = ravetools::MyMesh; ScalarType = float; typename SmoothMeshType::ScalarType = float; vcg::CallBackPos = bool(int, const char*)]’
   83 |         FitPlaneToPointSet(ptVec,plane);
      |         ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
vcglib/vcg/complex/algorithms/pointcloud_normal.h:139:28:   required from ‘static void vcg::tri::PointCloudNormal<MeshType>::Compute(MeshType&, Param, bool (*)(int, const char*)) [with MeshType = ravetools::MyMesh; vcg::CallBackPos = bool(int, const char*)]’
  139 |     ComputeUndirectedNormal(m, p.fittingAdjNum, std::numeric_limits<ScalarType>::max(), tree,cb);
      |     ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
vcgCommon.cpp:370:63:   required from here
  370 |       vcg::tri::PointCloudNormal< ravetools::MyMesh >::Compute(m,p);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, 3, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, 3, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, 3, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, 3, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:67:   required from ‘Derived& Eigen::DenseBase<Derived>::operator*=(const Scalar&) [with Derived = Eigen::Matrix<float, 3, 1>; Scalar = float]’
   20 |   internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::mul_assign_op<Scalar,Scalar>());
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:463:14:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<float, 3, 3>; _MatrixType = Eigen::Matrix<float, 3, 3>]’
  463 |   m_eivalues *= scale;
      |   ~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<float, 3, 3>; _MatrixType = Eigen::Matrix<float, 3, 3>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
vcglib/vcg/space/fitting3.h:71:56:   required from ‘void vcg::FitPlaneToPointSet(const std::vector<Point3<P3ScalarType> >&, Plane3<T, true>&) [with S = float]’
   71 |   Eigen::SelfAdjointEigenSolver<Eigen::Matrix<S,3,3> > eig(covMat);
      |                                                        ^~~
vcglib/vcg/complex/algorithms/pointcloud_normal.h:83:27:   required from ‘static void vcg::tri::PointCloudNormal<MeshType>::ComputeUndirectedNormal(MeshType&, int, ScalarType, vcg::KdTree<typename SmoothMeshType::ScalarType>&, bool (*)(int, const char*)) [with MeshType = ravetools::MyMesh; ScalarType = float; typename SmoothMeshType::ScalarType = float; vcg::CallBackPos = bool(int, const char*)]’
   83 |         FitPlaneToPointSet(ptVec,plane);
      |         ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
vcglib/vcg/complex/algorithms/pointcloud_normal.h:139:28:   required from ‘static void vcg::tri::PointCloudNormal<MeshType>::Compute(MeshType&, Param, bool (*)(int, const char*)) [with MeshType = ravetools::MyMesh; vcg::CallBackPos = bool(int, const char*)]’
  139 |     ComputeUndirectedNormal(m, p.fittingAdjNum, std::numeric_limits<ScalarType>::max(), tree,cb);
      |     ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
vcgCommon.cpp:370:63:   required from here
  370 |       vcg::tri::PointCloudNormal< ravetools::MyMesh >::Compute(m,p);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Transpose<const Eigen::SparseMatrix<float, 0, int> > >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::Transpose<const Eigen::SparseMatrix<float, 0, int> > >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9:   required from ‘class Eigen::internal::SparseTransposeImpl<const Eigen::SparseMatrix<float, 0, int>, 1024>’
   22 |   class SparseTransposeImpl<MatrixType,CompressedAccessBit>
      |         ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37:   required from ‘class Eigen::TransposeImpl<const Eigen::SparseMatrix<float, 0, int>, Eigen::Sparse>’
   45 | template<typename MatrixType> class TransposeImpl<MatrixType,Sparse>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::SparseMatrix<float, 0, int> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/OrderingMethods/Ordering.h:30:18:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:671:15:   required from ‘void Eigen::SimplicialCholeskyBase<Derived>::ordering(const MatrixType&, const CholMatrixType*&, CholMatrixType&) [with Derived = Eigen::SimplicialCholesky<Eigen::SparseMatrix<float, 0, int>, 1, Eigen::AMDOrdering<int> >; MatrixType = Eigen::SparseMatrix<float, 0, int>; ConstCholMatrixPtr = const Eigen::SparseMatrix<float, 0, int>*; CholMatrixType = Eigen::SparseMatrix<float, 0, int>]’
  671 |       ordering(C,m_Pinv);
      |       ~~~~~~~~^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:208:7:   required from ‘void Eigen::SimplicialCholeskyBase<Derived>::compute(const MatrixType&) [with bool DoLDLT = true; Derived = Eigen::SimplicialCholesky<Eigen::SparseMatrix<float, 0, int>, 1, Eigen::AMDOrdering<int> >; MatrixType = Eigen::SparseMatrix<float, 0, int>]’
  208 |       ordering(matrix, pmat, tmp);
      |       ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:564:37:   required from ‘Eigen::SimplicialCholesky<_MatrixType, _UpLo, _Ordering>& Eigen::SimplicialCholesky<_MatrixType, _UpLo, _Ordering>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<float, 0, int>; int _UpLo = 1; _Ordering = Eigen::AMDOrdering<int>; MatrixType = Eigen::SparseMatrix<float, 0, int>]’
  564 |         Base::template compute<true>(matrix);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:531:7:   required from ‘Eigen::SimplicialCholesky<_MatrixType, _UpLo, _Ordering>::SimplicialCholesky(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<float, 0, int>; int _UpLo = 1; _Ordering = Eigen::AMDOrdering<int>; MatrixType = Eigen::SparseMatrix<float, 0, int>]’
  531 |       compute(matrix);
      |       ^~~~~~~
vcglib/vcg/complex/algorithms/implicit_smooth.h:330:70:   required from ‘static void vcg::ImplicitSmoother<MeshType>::Compute(MeshType&, Parameter&) [with MeshType = ravetools::MyMesh]’
  330 |         Eigen::SimplicialCholesky<Eigen::SparseMatrix<ScalarType > > solver(S);
      |                                                                      ^~~~~~
vcgCommon.cpp:116:54:   required from here
  116 |     vcg::ImplicitSmoother<ravetools::MyMesh>::Compute(m, par);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<float, 3, 3>; _MatrixType = Eigen::Matrix<float, 3, 3>]’
  460 |   m_info = internal::computeFromTridiagonal_impl(diag, m_subdiag, m_maxIterations, computeEigenvectors, m_eivec);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<float, 3, 3>; _MatrixType = Eigen::Matrix<float, 3, 3>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
vcglib/vcg/space/fitting3.h:71:56:   required from ‘void vcg::FitPlaneToPointSet(const std::vector<Point3<P3ScalarType> >&, Plane3<T, true>&) [with S = float]’
   71 |   Eigen::SelfAdjointEigenSolver<Eigen::Matrix<S,3,3> > eig(covMat);
      |                                                        ^~~
vcglib/vcg/complex/algorithms/pointcloud_normal.h:83:27:   required from ‘static void vcg::tri::PointCloudNormal<MeshType>::ComputeUndirectedNormal(MeshType&, int, ScalarType, vcg::KdTree<typename SmoothMeshType::ScalarType>&, bool (*)(int, const char*)) [with MeshType = ravetools::MyMesh; ScalarType = float; typename SmoothMeshType::ScalarType = float; vcg::CallBackPos = bool(int, const char*)]’
   83 |         FitPlaneToPointSet(ptVec,plane);
      |         ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
vcglib/vcg/complex/algorithms/pointcloud_normal.h:139:28:   required from ‘static void vcg::tri::PointCloudNormal<MeshType>::Compute(MeshType&, Param, bool (*)(int, const char*)) [with MeshType = ravetools::MyMesh; vcg::CallBackPos = bool(int, const char*)]’
  139 |     ComputeUndirectedNormal(m, p.fittingAdjNum, std::numeric_limits<ScalarType>::max(), tree,cb);
      |     ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
vcgCommon.cpp:370:63:   required from here
  370 |       vcg::tri::PointCloudNormal< ravetools::MyMesh >::Compute(m,p);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::SparseMatrix<float, 0, int>, Eigen::Matrix<float, -1, -1>, 0>, 2>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::SparseMatrix<float, 0, int>, Eigen::Matrix<float, -1, -1>, 0>, 2> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::SparseMatrix<float, 0, int>, Eigen::Matrix<float, -1, -1>, 0>, 2> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::SparseMatrix<float, 0, int>, Eigen::Matrix<float, -1, -1>, 0>, 2, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::SparseMatrix<float, 0, int>, Eigen::Matrix<float, -1, -1>, 0>, 2, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::SparseMatrix<float, 0, int>, Eigen::Matrix<float, -1, -1>, 0>, 2>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:606:26:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialCholesky<Eigen::SparseMatrix<float, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::Product<Eigen::SparseMatrix<float, 0, int>, Eigen::Matrix<float, -1, -1>, 0> >; Derived = Eigen::Matrix<float, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Solve<Eigen::SimplicialCholesky<Eigen::SparseMatrix<float, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::Product<Eigen::SparseMatrix<float, 0, int>, Eigen::Matrix<float, -1, -1>, 0> >; OtherDerived = Eigen::Solve<Eigen::SimplicialCholesky<Eigen::SparseMatrix<float, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::Product<Eigen::SparseMatrix<float, 0, int>, Eigen::Matrix<float, -1, -1>, 0> >; Derived = Eigen::Matrix<float, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve<Eigen::SimplicialCholesky<Eigen::SparseMatrix<float, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::Product<Eigen::SparseMatrix<float, 0, int>, Eigen::Matrix<float, -1, -1>, 0> >; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48:   required from ‘Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Solve<Eigen::SimplicialCholesky<Eigen::SparseMatrix<float, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::Product<Eigen::SparseMatrix<float, 0, int>, Eigen::Matrix<float, -1, -1>, 0> >; EvalReturnType = const Eigen::Matrix<float, -1, -1>]’
  412 |       return typename internal::eval<Derived>::type(derived());
      |                                                ^~~~~~~~~~~~~~~
vcglib/vcg/complex/algorithms/implicit_smooth.h:368:35:   required from ‘static void vcg::ImplicitSmoother<MeshType>::Compute(MeshType&, Parameter&) [with MeshType = ravetools::MyMesh]’
  368 |         V = solver.solve(M*V).eval();
      |             ~~~~~~~~~~~~~~~~~~~~~~^~
vcgCommon.cpp:116:54:   required from here
  116 |     vcg::ImplicitSmoother<ravetools::MyMesh>::Compute(m, par);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::TriangularView<const Eigen::SparseMatrix<float, 0, int>, 5> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56:   required from ‘class Eigen::TriangularViewImpl<const Eigen::SparseMatrix<float, 0, int>, 5, Eigen::Sparse>’
   25 | template<typename MatrixType, unsigned int Mode> class TriangularViewImpl<MatrixType,Mode,Sparse>
      |                                                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58:   required from ‘class Eigen::TriangularView<const Eigen::SparseMatrix<float, 0, int>, 5>’
  187 | template<typename _MatrixType, unsigned int _Mode> class TriangularView
      |                                                          ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:613:27:   required from ‘void Eigen::SimplicialCholesky<_MatrixType, _UpLo, _Ordering>::_solve_impl(const Eigen::MatrixBase<OtherDerived>&, Eigen::MatrixBase<OtherDerived>&) const [with Rhs = Eigen::Product<Eigen::SparseMatrix<float, 0, int>, Eigen::Matrix<float, -1, -1>, 0>; Dest = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::SparseMatrix<float, 0, int>; int _UpLo = 1; _Ordering = Eigen::AMDOrdering<int>]’
  613 |           LDLTTraits::getL(Base::m_matrix).solveInPlace(dest);
      |           ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; DecType = Eigen::SimplicialCholesky<Eigen::SparseMatrix<float, 0, int>, 1, Eigen::AMDOrdering<int> >; RhsType = Eigen::Product<Eigen::SparseMatrix<float, 0, int>, Eigen::Matrix<float, -1, -1>, 0>; Scalar = float; SrcXprType = Eigen::Solve<Eigen::SimplicialCholesky<Eigen::SparseMatrix<float, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::Product<Eigen::SparseMatrix<float, 0, int>, Eigen::Matrix<float, -1, -1>, 0> >]’
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Solve<Eigen::SimplicialCholesky<Eigen::SparseMatrix<float, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::Product<Eigen::SparseMatrix<float, 0, int>, Eigen::Matrix<float, -1, -1>, 0> >; Func = assign_op<float, float>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialCholesky<Eigen::SparseMatrix<float, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::Product<Eigen::SparseMatrix<float, 0, int>, Eigen::Matrix<float, -1, -1>, 0> >; Derived = Eigen::Matrix<float, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Solve<Eigen::SimplicialCholesky<Eigen::SparseMatrix<float, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::Product<Eigen::SparseMatrix<float, 0, int>, Eigen::Matrix<float, -1, -1>, 0> >; OtherDerived = Eigen::Solve<Eigen::SimplicialCholesky<Eigen::SparseMatrix<float, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::Product<Eigen::SparseMatrix<float, 0, int>, Eigen::Matrix<float, -1, -1>, 0> >; Derived = Eigen::Matrix<float, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve<Eigen::SimplicialCholesky<Eigen::SparseMatrix<float, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::Product<Eigen::SparseMatrix<float, 0, int>, Eigen::Matrix<float, -1, -1>, 0> >; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48:   required from ‘Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Solve<Eigen::SimplicialCholesky<Eigen::SparseMatrix<float, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::Product<Eigen::SparseMatrix<float, 0, int>, Eigen::Matrix<float, -1, -1>, 0> >; EvalReturnType = const Eigen::Matrix<float, -1, -1>]’
  412 |       return typename internal::eval<Derived>::type(derived());
      |                                                ^~~~~~~~~~~~~~~
vcglib/vcg/complex/algorithms/implicit_smooth.h:368:35:   required from ‘static void vcg::ImplicitSmoother<MeshType>::Compute(MeshType&, Parameter&) [with MeshType = ravetools::MyMesh]’
  368 |         V = solver.solve(M*V).eval();
      |             ~~~~~~~~~~~~~~~~~~~~~~^~
vcgCommon.cpp:116:54:   required from here
  116 |     vcg::ImplicitSmoother<ravetools::MyMesh>::Compute(m, par);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::TriangularView<const Eigen::SparseMatrix<float, 0, int>, 1> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56:   required from ‘class Eigen::TriangularViewImpl<const Eigen::SparseMatrix<float, 0, int>, 1, Eigen::Sparse>’
   25 | template<typename MatrixType, unsigned int Mode> class TriangularViewImpl<MatrixType,Mode,Sparse>
      |                                                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58:   required from ‘class Eigen::TriangularView<const Eigen::SparseMatrix<float, 0, int>, 1>’
  187 | template<typename _MatrixType, unsigned int _Mode> class TriangularView
      |                                                          ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:615:26:   required from ‘void Eigen::SimplicialCholesky<_MatrixType, _UpLo, _Ordering>::_solve_impl(const Eigen::MatrixBase<OtherDerived>&, Eigen::MatrixBase<OtherDerived>&) const [with Rhs = Eigen::Product<Eigen::SparseMatrix<float, 0, int>, Eigen::Matrix<float, -1, -1>, 0>; Dest = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::SparseMatrix<float, 0, int>; int _UpLo = 1; _Ordering = Eigen::AMDOrdering<int>]’
  615 |           LLTTraits::getL(Base::m_matrix).solveInPlace(dest);
      |           ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; DecType = Eigen::SimplicialCholesky<Eigen::SparseMatrix<float, 0, int>, 1, Eigen::AMDOrdering<int> >; RhsType = Eigen::Product<Eigen::SparseMatrix<float, 0, int>, Eigen::Matrix<float, -1, -1>, 0>; Scalar = float; SrcXprType = Eigen::Solve<Eigen::SimplicialCholesky<Eigen::SparseMatrix<float, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::Product<Eigen::SparseMatrix<float, 0, int>, Eigen::Matrix<float, -1, -1>, 0> >]’
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Solve<Eigen::SimplicialCholesky<Eigen::SparseMatrix<float, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::Product<Eigen::SparseMatrix<float, 0, int>, Eigen::Matrix<float, -1, -1>, 0> >; Func = assign_op<float, float>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialCholesky<Eigen::SparseMatrix<float, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::Product<Eigen::SparseMatrix<float, 0, int>, Eigen::Matrix<float, -1, -1>, 0> >; Derived = Eigen::Matrix<float, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Solve<Eigen::SimplicialCholesky<Eigen::SparseMatrix<float, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::Product<Eigen::SparseMatrix<float, 0, int>, Eigen::Matrix<float, -1, -1>, 0> >; OtherDerived = Eigen::Solve<Eigen::SimplicialCholesky<Eigen::SparseMatrix<float, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::Product<Eigen::SparseMatrix<float, 0, int>, Eigen::Matrix<float, -1, -1>, 0> >; Derived = Eigen::Matrix<float, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve<Eigen::SimplicialCholesky<Eigen::SparseMatrix<float, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::Product<Eigen::SparseMatrix<float, 0, int>, Eigen::Matrix<float, -1, -1>, 0> >; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48:   required from ‘Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Solve<Eigen::SimplicialCholesky<Eigen::SparseMatrix<float, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::Product<Eigen::SparseMatrix<float, 0, int>, Eigen::Matrix<float, -1, -1>, 0> >; EvalReturnType = const Eigen::Matrix<float, -1, -1>]’
  412 |       return typename internal::eval<Derived>::type(derived());
      |                                                ^~~~~~~~~~~~~~~
vcglib/vcg/complex/algorithms/implicit_smooth.h:368:35:   required from ‘static void vcg::ImplicitSmoother<MeshType>::Compute(MeshType&, Parameter&) [with MeshType = ravetools::MyMesh]’
  368 |         V = solver.solve(M*V).eval();
      |             ~~~~~~~~~~~~~~~~~~~~~~^~
vcgCommon.cpp:116:54:   required from here
  116 |     vcg::ImplicitSmoother<ravetools::MyMesh>::Compute(m, par);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<float>, const Eigen::Matrix<float, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<float>, const Eigen::Matrix<float, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<float>, const Eigen::Matrix<float, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<float>, const Eigen::Matrix<float, -1, 1>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<float>, const Eigen::Matrix<float, -1, 1> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h:278:47:   required from ‘struct Eigen::internal::traits<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<float>, const Eigen::Matrix<float, -1, 1> > > >’
  278 |   typedef typename DiagonalVectorType::Scalar Scalar;
      |                                               ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/EigenBase.h:42:59:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialCholesky<Eigen::SparseMatrix<float, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::Product<Eigen::SparseMatrix<float, 0, int>, Eigen::Matrix<float, -1, -1>, 0> >; Derived = Eigen::Matrix<float, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Solve<Eigen::SimplicialCholesky<Eigen::SparseMatrix<float, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::Product<Eigen::SparseMatrix<float, 0, int>, Eigen::Matrix<float, -1, -1>, 0> >; OtherDerived = Eigen::Solve<Eigen::SimplicialCholesky<Eigen::SparseMatrix<float, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::Product<Eigen::SparseMatrix<float, 0, int>, Eigen::Matrix<float, -1, -1>, 0> >; Derived = Eigen::Matrix<float, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve<Eigen::SimplicialCholesky<Eigen::SparseMatrix<float, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::Product<Eigen::SparseMatrix<float, 0, int>, Eigen::Matrix<float, -1, -1>, 0> >; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48:   required from ‘Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Solve<Eigen::SimplicialCholesky<Eigen::SparseMatrix<float, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::Product<Eigen::SparseMatrix<float, 0, int>, Eigen::Matrix<float, -1, -1>, 0> >; EvalReturnType = const Eigen::Matrix<float, -1, -1>]’
  412 |       return typename internal::eval<Derived>::type(derived());
      |                                                ^~~~~~~~~~~~~~~
vcglib/vcg/complex/algorithms/implicit_smooth.h:368:35:   required from ‘static void vcg::ImplicitSmoother<MeshType>::Compute(MeshType&, Parameter&) [with MeshType = ravetools::MyMesh]’
  368 |         V = solver.solve(M*V).eval();
      |             ~~~~~~~~~~~~~~~~~~~~~~^~
vcgCommon.cpp:116:54:   required from here
  116 |     vcg::ImplicitSmoother<ravetools::MyMesh>::Compute(m, par);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<float>, const Eigen::Matrix<float, -1, 1> > >, Eigen::Matrix<float, -1, -1>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<float>, const Eigen::Matrix<float, -1, 1> > >, Eigen::Matrix<float, -1, -1>, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<float>, const Eigen::Matrix<float, -1, 1> > >, Eigen::Matrix<float, -1, -1>, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<float>, const Eigen::Matrix<float, -1, 1> > >, Eigen::Matrix<float, -1, -1>, 1, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<float>, const Eigen::Matrix<float, -1, 1> > >, Eigen::Matrix<float, -1, -1>, 1, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<float>, const Eigen::Matrix<float, -1, 1> > >, Eigen::Matrix<float, -1, -1>, 1>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:619:59:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialCholesky<Eigen::SparseMatrix<float, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::Product<Eigen::SparseMatrix<float, 0, int>, Eigen::Matrix<float, -1, -1>, 0> >; Derived = Eigen::Matrix<float, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Solve<Eigen::SimplicialCholesky<Eigen::SparseMatrix<float, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::Product<Eigen::SparseMatrix<float, 0, int>, Eigen::Matrix<float, -1, -1>, 0> >; OtherDerived = Eigen::Solve<Eigen::SimplicialCholesky<Eigen::SparseMatrix<float, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::Product<Eigen::SparseMatrix<float, 0, int>, Eigen::Matrix<float, -1, -1>, 0> >; Derived = Eigen::Matrix<float, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve<Eigen::SimplicialCholesky<Eigen::SparseMatrix<float, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::Product<Eigen::SparseMatrix<float, 0, int>, Eigen::Matrix<float, -1, -1>, 0> >; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48:   required from ‘Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Solve<Eigen::SimplicialCholesky<Eigen::SparseMatrix<float, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::Product<Eigen::SparseMatrix<float, 0, int>, Eigen::Matrix<float, -1, -1>, 0> >; EvalReturnType = const Eigen::Matrix<float, -1, -1>]’
  412 |       return typename internal::eval<Derived>::type(derived());
      |                                                ^~~~~~~~~~~~~~~
vcglib/vcg/complex/algorithms/implicit_smooth.h:368:35:   required from ‘static void vcg::ImplicitSmoother<MeshType>::Compute(MeshType&, Parameter&) [with MeshType = ravetools::MyMesh]’
  368 |         V = solver.solve(M*V).eval();
      |             ~~~~~~~~~~~~~~~~~~~~~~^~
vcgCommon.cpp:116:54:   required from here
  116 |     vcg::ImplicitSmoother<ravetools::MyMesh>::Compute(m, par);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::TriangularView<const Eigen::Transpose<const Eigen::SparseMatrix<float, 0, int> >, 6> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56:   required from ‘class Eigen::TriangularViewImpl<const Eigen::Transpose<const Eigen::SparseMatrix<float, 0, int> >, 6, Eigen::Sparse>’
   25 | template<typename MatrixType, unsigned int Mode> class TriangularViewImpl<MatrixType,Mode,Sparse>
      |                                                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58:   required from ‘class Eigen::TriangularView<const Eigen::Transpose<const Eigen::SparseMatrix<float, 0, int> >, 6>’
  187 | template<typename _MatrixType, unsigned int _Mode> class TriangularView
      |                                                          ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:624:27:   required from ‘void Eigen::SimplicialCholesky<_MatrixType, _UpLo, _Ordering>::_solve_impl(const Eigen::MatrixBase<OtherDerived>&, Eigen::MatrixBase<OtherDerived>&) const [with Rhs = Eigen::Product<Eigen::SparseMatrix<float, 0, int>, Eigen::Matrix<float, -1, -1>, 0>; Dest = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::SparseMatrix<float, 0, int>; int _UpLo = 1; _Ordering = Eigen::AMDOrdering<int>]’
  624 |           LDLTTraits::getU(Base::m_matrix).solveInPlace(dest);
      |           ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; DecType = Eigen::SimplicialCholesky<Eigen::SparseMatrix<float, 0, int>, 1, Eigen::AMDOrdering<int> >; RhsType = Eigen::Product<Eigen::SparseMatrix<float, 0, int>, Eigen::Matrix<float, -1, -1>, 0>; Scalar = float; SrcXprType = Eigen::Solve<Eigen::SimplicialCholesky<Eigen::SparseMatrix<float, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::Product<Eigen::SparseMatrix<float, 0, int>, Eigen::Matrix<float, -1, -1>, 0> >]’
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Solve<Eigen::SimplicialCholesky<Eigen::SparseMatrix<float, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::Product<Eigen::SparseMatrix<float, 0, int>, Eigen::Matrix<float, -1, -1>, 0> >; Func = assign_op<float, float>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialCholesky<Eigen::SparseMatrix<float, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::Product<Eigen::SparseMatrix<float, 0, int>, Eigen::Matrix<float, -1, -1>, 0> >; Derived = Eigen::Matrix<float, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Solve<Eigen::SimplicialCholesky<Eigen::SparseMatrix<float, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::Product<Eigen::SparseMatrix<float, 0, int>, Eigen::Matrix<float, -1, -1>, 0> >; OtherDerived = Eigen::Solve<Eigen::SimplicialCholesky<Eigen::SparseMatrix<float, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::Product<Eigen::SparseMatrix<float, 0, int>, Eigen::Matrix<float, -1, -1>, 0> >; Derived = Eigen::Matrix<float, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve<Eigen::SimplicialCholesky<Eigen::SparseMatrix<float, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::Product<Eigen::SparseMatrix<float, 0, int>, Eigen::Matrix<float, -1, -1>, 0> >; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48:   required from ‘Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Solve<Eigen::SimplicialCholesky<Eigen::SparseMatrix<float, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::Product<Eigen::SparseMatrix<float, 0, int>, Eigen::Matrix<float, -1, -1>, 0> >; EvalReturnType = const Eigen::Matrix<float, -1, -1>]’
  412 |       return typename internal::eval<Derived>::type(derived());
      |                                                ^~~~~~~~~~~~~~~
vcglib/vcg/complex/algorithms/implicit_smooth.h:368:35:   required from ‘static void vcg::ImplicitSmoother<MeshType>::Compute(MeshType&, Parameter&) [with MeshType = ravetools::MyMesh]’
  368 |         V = solver.solve(M*V).eval();
      |             ~~~~~~~~~~~~~~~~~~~~~~^~
vcgCommon.cpp:116:54:   required from here
  116 |     vcg::ImplicitSmoother<ravetools::MyMesh>::Compute(m, par);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::TriangularView<const Eigen::Transpose<const Eigen::SparseMatrix<float, 0, int> >, 2> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56:   required from ‘class Eigen::TriangularViewImpl<const Eigen::Transpose<const Eigen::SparseMatrix<float, 0, int> >, 2, Eigen::Sparse>’
   25 | template<typename MatrixType, unsigned int Mode> class TriangularViewImpl<MatrixType,Mode,Sparse>
      |                                                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58:   required from ‘class Eigen::TriangularView<const Eigen::Transpose<const Eigen::SparseMatrix<float, 0, int> >, 2>’
  187 | template<typename _MatrixType, unsigned int _Mode> class TriangularView
      |                                                          ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:626:26:   required from ‘void Eigen::SimplicialCholesky<_MatrixType, _UpLo, _Ordering>::_solve_impl(const Eigen::MatrixBase<OtherDerived>&, Eigen::MatrixBase<OtherDerived>&) const [with Rhs = Eigen::Product<Eigen::SparseMatrix<float, 0, int>, Eigen::Matrix<float, -1, -1>, 0>; Dest = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::SparseMatrix<float, 0, int>; int _UpLo = 1; _Ordering = Eigen::AMDOrdering<int>]’
  626 |           LLTTraits::getU(Base::m_matrix).solveInPlace(dest);
      |           ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; DecType = Eigen::SimplicialCholesky<Eigen::SparseMatrix<float, 0, int>, 1, Eigen::AMDOrdering<int> >; RhsType = Eigen::Product<Eigen::SparseMatrix<float, 0, int>, Eigen::Matrix<float, -1, -1>, 0>; Scalar = float; SrcXprType = Eigen::Solve<Eigen::SimplicialCholesky<Eigen::SparseMatrix<float, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::Product<Eigen::SparseMatrix<float, 0, int>, Eigen::Matrix<float, -1, -1>, 0> >]’
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Solve<Eigen::SimplicialCholesky<Eigen::SparseMatrix<float, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::Product<Eigen::SparseMatrix<float, 0, int>, Eigen::Matrix<float, -1, -1>, 0> >; Func = assign_op<float, float>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialCholesky<Eigen::SparseMatrix<float, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::Product<Eigen::SparseMatrix<float, 0, int>, Eigen::Matrix<float, -1, -1>, 0> >; Derived = Eigen::Matrix<float, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Solve<Eigen::SimplicialCholesky<Eigen::SparseMatrix<float, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::Product<Eigen::SparseMatrix<float, 0, int>, Eigen::Matrix<float, -1, -1>, 0> >; OtherDerived = Eigen::Solve<Eigen::SimplicialCholesky<Eigen::SparseMatrix<float, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::Product<Eigen::SparseMatrix<float, 0, int>, Eigen::Matrix<float, -1, -1>, 0> >; Derived = Eigen::Matrix<float, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve<Eigen::SimplicialCholesky<Eigen::SparseMatrix<float, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::Product<Eigen::SparseMatrix<float, 0, int>, Eigen::Matrix<float, -1, -1>, 0> >; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48:   required from ‘Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Solve<Eigen::SimplicialCholesky<Eigen::SparseMatrix<float, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::Product<Eigen::SparseMatrix<float, 0, int>, Eigen::Matrix<float, -1, -1>, 0> >; EvalReturnType = const Eigen::Matrix<float, -1, -1>]’
  412 |       return typename internal::eval<Derived>::type(derived());
      |                                                ^~~~~~~~~~~~~~~
vcglib/vcg/complex/algorithms/implicit_smooth.h:368:35:   required from ‘static void vcg::ImplicitSmoother<MeshType>::Compute(MeshType&, Parameter&) [with MeshType = ravetools::MyMesh]’
  368 |         V = solver.solve(M*V).eval();
      |             ~~~~~~~~~~~~~~~~~~~~~~^~
vcgCommon.cpp:116:54:   required from here
  116 |     vcg::ImplicitSmoother<ravetools::MyMesh>::Compute(m, par);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<float, -1, -1>, 2>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<float, -1, -1>, 2> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<float, -1, -1>, 2> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<float, -1, -1>, 2, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<float, -1, -1>, 2, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<float, -1, -1>, 2>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:630:29:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialCholesky<Eigen::SparseMatrix<float, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::Product<Eigen::SparseMatrix<float, 0, int>, Eigen::Matrix<float, -1, -1>, 0> >; Derived = Eigen::Matrix<float, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Solve<Eigen::SimplicialCholesky<Eigen::SparseMatrix<float, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::Product<Eigen::SparseMatrix<float, 0, int>, Eigen::Matrix<float, -1, -1>, 0> >; OtherDerived = Eigen::Solve<Eigen::SimplicialCholesky<Eigen::SparseMatrix<float, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::Product<Eigen::SparseMatrix<float, 0, int>, Eigen::Matrix<float, -1, -1>, 0> >; Derived = Eigen::Matrix<float, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve<Eigen::SimplicialCholesky<Eigen::SparseMatrix<float, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::Product<Eigen::SparseMatrix<float, 0, int>, Eigen::Matrix<float, -1, -1>, 0> >; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48:   required from ‘Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Solve<Eigen::SimplicialCholesky<Eigen::SparseMatrix<float, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::Product<Eigen::SparseMatrix<float, 0, int>, Eigen::Matrix<float, -1, -1>, 0> >; EvalReturnType = const Eigen::Matrix<float, -1, -1>]’
  412 |       return typename internal::eval<Derived>::type(derived());
      |                                                ^~~~~~~~~~~~~~~
vcglib/vcg/complex/algorithms/implicit_smooth.h:368:35:   required from ‘static void vcg::ImplicitSmoother<MeshType>::Compute(MeshType&, Parameter&) [with MeshType = ravetools::MyMesh]’
  368 |         V = solver.solve(M*V).eval();
      |             ~~~~~~~~~~~~~~~~~~~~~~^~
vcgCommon.cpp:116:54:   required from here
  116 |     vcg::ImplicitSmoother<ravetools::MyMesh>::Compute(m, par);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<float, 3, 3>; _MatrixType = Eigen::Matrix<float, 3, 3>]’
  460 |   m_info = internal::computeFromTridiagonal_impl(diag, m_subdiag, m_maxIterations, computeEigenvectors, m_eivec);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<float, 3, 3>; _MatrixType = Eigen::Matrix<float, 3, 3>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
vcglib/vcg/space/fitting3.h:71:56:   required from ‘void vcg::FitPlaneToPointSet(const std::vector<Point3<P3ScalarType> >&, Plane3<T, true>&) [with S = float]’
   71 |   Eigen::SelfAdjointEigenSolver<Eigen::Matrix<S,3,3> > eig(covMat);
      |                                                        ^~~
vcglib/vcg/complex/algorithms/pointcloud_normal.h:83:27:   required from ‘static void vcg::tri::PointCloudNormal<MeshType>::ComputeUndirectedNormal(MeshType&, int, ScalarType, vcg::KdTree<typename SmoothMeshType::ScalarType>&, bool (*)(int, const char*)) [with MeshType = ravetools::MyMesh; ScalarType = float; typename SmoothMeshType::ScalarType = float; vcg::CallBackPos = bool(int, const char*)]’
   83 |         FitPlaneToPointSet(ptVec,plane);
      |         ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
vcglib/vcg/complex/algorithms/pointcloud_normal.h:139:28:   required from ‘static void vcg::tri::PointCloudNormal<MeshType>::Compute(MeshType&, Param, bool (*)(int, const char*)) [with MeshType = ravetools::MyMesh; vcg::CallBackPos = bool(int, const char*)]’
  139 |     ComputeUndirectedNormal(m, p.fittingAdjNum, std::numeric_limits<ScalarType>::max(), tree,cb);
      |     ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
vcgCommon.cpp:370:63:   required from here
  370 |       vcg::tri::PointCloudNormal< ravetools::MyMesh >::Compute(m,p);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<float>, Eigen::Matrix<float, 3, 3> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<float>, Eigen::Matrix<float, 3, 3> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<float>, Eigen::Matrix<float, 3, 3> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<float>, Eigen::Matrix<float, 3, 3> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:33:   required from ‘static Derived& Eigen::internal::setIdentity_impl<Derived, Big>::run(Derived&) [with Derived = Eigen::Matrix<float, 3, 3>; bool Big = false]’
  846 |     return m = Derived::Identity(m.rows(), m.cols());
      |                ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50:   required from ‘Derived& Eigen::MatrixBase<Derived>::setIdentity() [with Derived = Eigen::Matrix<float, 3, 3>]’
  875 |   return internal::setIdentity_impl<Derived>::run(derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:483:24:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<float, 3, 3>; _MatrixType = Eigen::Matrix<float, 3, 3>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<float, 3, 3>; _MatrixType = Eigen::Matrix<float, 3, 3>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
vcglib/vcg/space/fitting3.h:71:56:   required from ‘void vcg::FitPlaneToPointSet(const std::vector<Point3<P3ScalarType> >&, Plane3<T, true>&) [with S = float]’
   71 |   Eigen::SelfAdjointEigenSolver<Eigen::Matrix<S,3,3> > eig(covMat);
      |                                                        ^~~
vcglib/vcg/complex/algorithms/pointcloud_normal.h:83:27:   required from ‘static void vcg::tri::PointCloudNormal<MeshType>::ComputeUndirectedNormal(MeshType&, int, ScalarType, vcg::KdTree<typename SmoothMeshType::ScalarType>&, bool (*)(int, const char*)) [with MeshType = ravetools::MyMesh; ScalarType = float; typename SmoothMeshType::ScalarType = float; vcg::CallBackPos = bool(int, const char*)]’
   83 |         FitPlaneToPointSet(ptVec,plane);
      |         ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
vcglib/vcg/complex/algorithms/pointcloud_normal.h:139:28:   required from ‘static void vcg::tri::PointCloudNormal<MeshType>::Compute(MeshType&, Param, bool (*)(int, const char*)) [with MeshType = ravetools::MyMesh; vcg::CallBackPos = bool(int, const char*)]’
  139 |     ComputeUndirectedNormal(m, p.fittingAdjNum, std::numeric_limits<ScalarType>::max(), tree,cb);
      |     ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
vcgCommon.cpp:370:63:   required from here
  370 |       vcg::tri::PointCloudNormal< ravetools::MyMesh >::Compute(m,p);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:277:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5:   required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase<Derived>&, Eigen::DenseBase<Derived>&, const Eigen::JacobiRotation<OtherScalar>&) [with VectorX = Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; VectorY = Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; OtherScalar = float]’
  475 |     EIGEN_PLAIN_ENUM_MIN(evaluator<VectorX>::Alignment, evaluator<VectorY>::Alignment),
      |                                              ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:315:40:   required from ‘void Eigen::MatrixBase<Derived>::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = float; Derived = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]’
  315 |   internal::apply_rotation_in_the_plane(x, y, j.transpose());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:895:24:   required from ‘void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = float; Scalar = float; Index = long int]’
  895 |       q.applyOnTheRight(k,k+1,rot);
      |       ~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:548:87:   required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix<float, 3, 3>; DiagType = Eigen::Matrix<float, 3, 1>; SubDiagType = Eigen::Matrix<float, 2, 1>; Eigen::Index = long int]’
  548 |     internal::tridiagonal_qr_step<MatrixType::Flags&RowMajorBit ? RowMajor : ColMajor>(diag.data(), subdiag.data(), start, end, computeEigenvectors ? eivec.data() : (Scalar*)0, n);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<float, 3, 3>; _MatrixType = Eigen::Matrix<float, 3, 3>]’
  460 |   m_info = internal::computeFromTridiagonal_impl(diag, m_subdiag, m_maxIterations, computeEigenvectors, m_eivec);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<float, 3, 3>; _MatrixType = Eigen::Matrix<float, 3, 3>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
vcglib/vcg/space/fitting3.h:71:56:   required from ‘void vcg::FitPlaneToPointSet(const std::vector<Point3<P3ScalarType> >&, Plane3<T, true>&) [with S = float]’
   71 |   Eigen::SelfAdjointEigenSolver<Eigen::Matrix<S,3,3> > eig(covMat);
      |                                                        ^~~
vcglib/vcg/complex/algorithms/pointcloud_normal.h:83:27:   required from ‘static void vcg::tri::PointCloudNormal<MeshType>::ComputeUndirectedNormal(MeshType&, int, ScalarType, vcg::KdTree<typename SmoothMeshType::ScalarType>&, bool (*)(int, const char*)) [with MeshType = ravetools::MyMesh; ScalarType = float; typename SmoothMeshType::ScalarType = float; vcg::CallBackPos = bool(int, const char*)]’
   83 |         FitPlaneToPointSet(ptVec,plane);
      |         ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
vcglib/vcg/complex/algorithms/pointcloud_normal.h:139:28:   required from ‘static void vcg::tri::PointCloudNormal<MeshType>::Compute(MeshType&, Param, bool (*)(int, const char*)) [with MeshType = ravetools::MyMesh; vcg::CallBackPos = bool(int, const char*)]’
  139 |     ComputeUndirectedNormal(m, p.fittingAdjNum, std::numeric_limits<ScalarType>::max(), tree,cb);
      |     ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
vcgCommon.cpp:370:63:   required from here
  370 |       vcg::tri::PointCloudNormal< ravetools::MyMesh >::Compute(m,p);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<float, 3, 1>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51:   required from ‘class Eigen::internal::visitor_evaluator<Eigen::Block<Eigen::Matrix<float, 3, 1>, -1, 1, false> >’
   79 |     CoeffReadCost = internal::evaluator<XprType>::CoeffReadCost
      |                                                   ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17:   required from ‘void Eigen::DenseBase<Derived>::visit(Visitor&) const [with Visitor = Eigen::internal::min_coeff_visitor<Eigen::Block<Eigen::Matrix<float, 3, 1>, -1, 1, false>, 0>; Derived = Eigen::Block<Eigen::Matrix<float, 3, 1>, -1, 1, false>]’
  123 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:323:14:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::minCoeff(IndexType*) const [with int NaNPropagation = 0; IndexType = long int; Derived = Eigen::Block<Eigen::Matrix<float, 3, 1>, -1, 1, false>; typename Eigen::internal::traits<T>::Scalar = float]’
  323 |   this->visit(minVisitor);
      |   ~~~~~~~~~~~^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:496:37:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::minCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::Block<Eigen::Matrix<float, 3, 1>, -1, 1, false>; typename Eigen::internal::traits<T>::Scalar = float]’
  496 |       return minCoeff<PropagateFast>(index);
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:563:35:   required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix<float, 3, 3>; DiagType = Eigen::Matrix<float, 3, 1>; SubDiagType = Eigen::Matrix<float, 2, 1>; Eigen::Index = long int]’
  563 |       diag.segment(i,n-i).minCoeff(&k);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<float, 3, 3>; _MatrixType = Eigen::Matrix<float, 3, 3>]’
  460 |   m_info = internal::computeFromTridiagonal_impl(diag, m_subdiag, m_maxIterations, computeEigenvectors, m_eivec);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<float, 3, 3>; _MatrixType = Eigen::Matrix<float, 3, 3>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
vcglib/vcg/space/fitting3.h:71:56:   required from ‘void vcg::FitPlaneToPointSet(const std::vector<Point3<P3ScalarType> >&, Plane3<T, true>&) [with S = float]’
   71 |   Eigen::SelfAdjointEigenSolver<Eigen::Matrix<S,3,3> > eig(covMat);
      |                                                        ^~~
vcglib/vcg/complex/algorithms/pointcloud_normal.h:83:27:   required from ‘static void vcg::tri::PointCloudNormal<MeshType>::ComputeUndirectedNormal(MeshType&, int, ScalarType, vcg::KdTree<typename SmoothMeshType::ScalarType>&, bool (*)(int, const char*)) [with MeshType = ravetools::MyMesh; ScalarType = float; typename SmoothMeshType::ScalarType = float; vcg::CallBackPos = bool(int, const char*)]’
   83 |         FitPlaneToPointSet(ptVec,plane);
      |         ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
vcglib/vcg/complex/algorithms/pointcloud_normal.h:139:28:   required from ‘static void vcg::tri::PointCloudNormal<MeshType>::Compute(MeshType&, Param, bool (*)(int, const char*)) [with MeshType = ravetools::MyMesh; vcg::CallBackPos = bool(int, const char*)]’
  139 |     ComputeUndirectedNormal(m, p.fittingAdjNum, std::numeric_limits<ScalarType>::max(), tree,cb);
      |     ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
vcgCommon.cpp:370:63:   required from here
  370 |       vcg::tri::PointCloudNormal< ravetools::MyMesh >::Compute(m,p);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<float, 3, 3>, 3, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, 3, 3>, 3, 1, true>; SrcXprType = Eigen::Block<Eigen::Matrix<float, 3, 3>, 3, 1, true>; Functor = swap_assign_op<float>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, 3, 3>, 3, 1, true>; SrcXprType = Eigen::Block<Eigen::Matrix<float, 3, 3>, 3, 1, true>; Functor = Eigen::internal::swap_assign_op<float>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, 3, 3>, 3, 1, true>; Src = Eigen::Block<Eigen::Matrix<float, 3, 3>, 3, 1, true>; Func = swap_assign_op<float>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<float, 3, 3>, 3, 1, true>; Src = Eigen::Block<Eigen::Matrix<float, 3, 3>, 3, 1, true>; Func = swap_assign_op<float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<float, 3, 3>; _MatrixType = Eigen::Matrix<float, 3, 3>]’
  460 |   m_info = internal::computeFromTridiagonal_impl(diag, m_subdiag, m_maxIterations, computeEigenvectors, m_eivec);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<float, 3, 3>; _MatrixType = Eigen::Matrix<float, 3, 3>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
vcglib/vcg/space/fitting3.h:71:56:   required from ‘void vcg::FitPlaneToPointSet(const std::vector<Point3<P3ScalarType> >&, Plane3<T, true>&) [with S = float]’
   71 |   Eigen::SelfAdjointEigenSolver<Eigen::Matrix<S,3,3> > eig(covMat);
      |                                                        ^~~
vcglib/vcg/complex/algorithms/pointcloud_normal.h:83:27:   required from ‘static void vcg::tri::PointCloudNormal<MeshType>::ComputeUndirectedNormal(MeshType&, int, ScalarType, vcg::KdTree<typename SmoothMeshType::ScalarType>&, bool (*)(int, const char*)) [with MeshType = ravetools::MyMesh; ScalarType = float; typename SmoothMeshType::ScalarType = float; vcg::CallBackPos = bool(int, const char*)]’
   83 |         FitPlaneToPointSet(ptVec,plane);
      |         ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
vcglib/vcg/complex/algorithms/pointcloud_normal.h:139:28:   required from ‘static void vcg::tri::PointCloudNormal<MeshType>::Compute(MeshType&, Param, bool (*)(int, const char*)) [with MeshType = ravetools::MyMesh; vcg::CallBackPos = bool(int, const char*)]’
  139 |     ComputeUndirectedNormal(m, p.fittingAdjNum, std::numeric_limits<ScalarType>::max(), tree,cb);
      |     ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
vcgCommon.cpp:370:63:   required from here
  370 |       vcg::tri::PointCloudNormal< ravetools::MyMesh >::Compute(m,p);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<float, 3, 1>, Eigen::Transpose<Eigen::Matrix<float, 3, 1> >, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<float, 3, 1>, Eigen::Transpose<Eigen::Matrix<float, 3, 1> >, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<float, 3, 1>, Eigen::Transpose<Eigen::Matrix<float, 3, 1> >, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<float, 3, 1>, Eigen::Transpose<Eigen::Matrix<float, 3, 1> >, 1, 4>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<float, 3, 1>, Eigen::Transpose<Eigen::Matrix<float, 3, 1> >, 1, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<float, 3, 1>, Eigen::Transpose<Eigen::Matrix<float, 3, 1> >, 1>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, 3, 1>, Eigen::Transpose<Eigen::Matrix<float, 3, 1> >, 0>; Derived = Eigen::Matrix<float, 3, 3>]’
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
vcglib/vcg/space/fitting3.h:55:6:   required from ‘void vcg::ComputeCovarianceMatrix(const std::vector<Point3<P3ScalarType> >&, Point3<P3ScalarType>&, Eigen::Matrix<Type, 3, 3>&) [with S = float]’
   55 |     m+= p*p.transpose(); // outer product
      |     ~^~~~~~~~~~~~~~~~~~
vcglib/vcg/space/fitting3.h:69:26:   required from ‘void vcg::FitPlaneToPointSet(const std::vector<Point3<P3ScalarType> >&, Plane3<T, true>&) [with S = float]’
   69 |   ComputeCovarianceMatrix(pointVec,b,covMat);
      |   ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
vcglib/vcg/complex/algorithms/pointcloud_normal.h:83:27:   required from ‘static void vcg::tri::PointCloudNormal<MeshType>::ComputeUndirectedNormal(MeshType&, int, ScalarType, vcg::KdTree<typename SmoothMeshType::ScalarType>&, bool (*)(int, const char*)) [with MeshType = ravetools::MyMesh; ScalarType = float; typename SmoothMeshType::ScalarType = float; vcg::CallBackPos = bool(int, const char*)]’
   83 |         FitPlaneToPointSet(ptVec,plane);
      |         ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
vcglib/vcg/complex/algorithms/pointcloud_normal.h:139:28:   required from ‘static void vcg::tri::PointCloudNormal<MeshType>::Compute(MeshType&, Param, bool (*)(int, const char*)) [with MeshType = ravetools::MyMesh; vcg::CallBackPos = bool(int, const char*)]’
  139 |     ComputeUndirectedNormal(m, p.fittingAdjNum, std::numeric_limits<ScalarType>::max(), tree,cb);
      |     ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
vcgCommon.cpp:370:63:   required from here
  370 |       vcg::tri::PointCloudNormal< ravetools::MyMesh >::Compute(m,p);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialCholesky<Eigen::SparseMatrix<float, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::Product<Eigen::SparseMatrix<float, 0, int>, Eigen::Matrix<float, -1, -1>, 0> >; Derived = Eigen::Matrix<float, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Solve<Eigen::SimplicialCholesky<Eigen::SparseMatrix<float, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::Product<Eigen::SparseMatrix<float, 0, int>, Eigen::Matrix<float, -1, -1>, 0> >; OtherDerived = Eigen::Solve<Eigen::SimplicialCholesky<Eigen::SparseMatrix<float, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::Product<Eigen::SparseMatrix<float, 0, int>, Eigen::Matrix<float, -1, -1>, 0> >; Derived = Eigen::Matrix<float, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve<Eigen::SimplicialCholesky<Eigen::SparseMatrix<float, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::Product<Eigen::SparseMatrix<float, 0, int>, Eigen::Matrix<float, -1, -1>, 0> >; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48:   required from ‘Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Solve<Eigen::SimplicialCholesky<Eigen::SparseMatrix<float, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::Product<Eigen::SparseMatrix<float, 0, int>, Eigen::Matrix<float, -1, -1>, 0> >; EvalReturnType = const Eigen::Matrix<float, -1, -1>]’
  412 |       return typename internal::eval<Derived>::type(derived());
      |                                                ^~~~~~~~~~~~~~~
vcglib/vcg/complex/algorithms/implicit_smooth.h:368:35:   required from ‘static void vcg::ImplicitSmoother<MeshType>::Compute(MeshType&, Parameter&) [with MeshType = ravetools::MyMesh]’
  368 |         V = solver.solve(M*V).eval();
      |             ~~~~~~~~~~~~~~~~~~~~~~^~
vcgCommon.cpp:116:54:   required from here
  116 |     vcg::ImplicitSmoother<ravetools::MyMesh>::Compute(m, par);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<float, -1, -1>, 1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialCholesky<Eigen::SparseMatrix<float, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::Product<Eigen::SparseMatrix<float, 0, int>, Eigen::Matrix<float, -1, -1>, 0> >; Derived = Eigen::Matrix<float, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Solve<Eigen::SimplicialCholesky<Eigen::SparseMatrix<float, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::Product<Eigen::SparseMatrix<float, 0, int>, Eigen::Matrix<float, -1, -1>, 0> >; OtherDerived = Eigen::Solve<Eigen::SimplicialCholesky<Eigen::SparseMatrix<float, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::Product<Eigen::SparseMatrix<float, 0, int>, Eigen::Matrix<float, -1, -1>, 0> >; Derived = Eigen::Matrix<float, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve<Eigen::SimplicialCholesky<Eigen::SparseMatrix<float, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::Product<Eigen::SparseMatrix<float, 0, int>, Eigen::Matrix<float, -1, -1>, 0> >; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48:   required from ‘Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Solve<Eigen::SimplicialCholesky<Eigen::SparseMatrix<float, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::Product<Eigen::SparseMatrix<float, 0, int>, Eigen::Matrix<float, -1, -1>, 0> >; EvalReturnType = const Eigen::Matrix<float, -1, -1>]’
  412 |       return typename internal::eval<Derived>::type(derived());
      |                                                ^~~~~~~~~~~~~~~
vcglib/vcg/complex/algorithms/implicit_smooth.h:368:35:   required from ‘static void vcg::ImplicitSmoother<MeshType>::Compute(MeshType&, Parameter&) [with MeshType = ravetools::MyMesh]’
  368 |         V = solver.solve(M*V).eval();
      |             ~~~~~~~~~~~~~~~~~~~~~~^~
vcgCommon.cpp:116:54:   required from here
  116 |     vcg::ImplicitSmoother<ravetools::MyMesh>::Compute(m, par);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<float, -1, -1>; Scalar = float]’
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<float, -1, -1>]’
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:16:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialCholesky<Eigen::SparseMatrix<float, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::Product<Eigen::SparseMatrix<float, 0, int>, Eigen::Matrix<float, -1, -1>, 0> >; Derived = Eigen::Matrix<float, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Solve<Eigen::SimplicialCholesky<Eigen::SparseMatrix<float, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::Product<Eigen::SparseMatrix<float, 0, int>, Eigen::Matrix<float, -1, -1>, 0> >; OtherDerived = Eigen::Solve<Eigen::SimplicialCholesky<Eigen::SparseMatrix<float, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::Product<Eigen::SparseMatrix<float, 0, int>, Eigen::Matrix<float, -1, -1>, 0> >; Derived = Eigen::Matrix<float, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve<Eigen::SimplicialCholesky<Eigen::SparseMatrix<float, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::Product<Eigen::SparseMatrix<float, 0, int>, Eigen::Matrix<float, -1, -1>, 0> >; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48:   required from ‘Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Solve<Eigen::SimplicialCholesky<Eigen::SparseMatrix<float, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::Product<Eigen::SparseMatrix<float, 0, int>, Eigen::Matrix<float, -1, -1>, 0> >; EvalReturnType = const Eigen::Matrix<float, -1, -1>]’
  412 |       return typename internal::eval<Derived>::type(derived());
      |                                                ^~~~~~~~~~~~~~~
vcglib/vcg/complex/algorithms/implicit_smooth.h:368:35:   required from ‘static void vcg::ImplicitSmoother<MeshType>::Compute(MeshType&, Parameter&) [with MeshType = ravetools::MyMesh]’
  368 |         V = solver.solve(M*V).eval();
      |             ~~~~~~~~~~~~~~~~~~~~~~^~
vcgCommon.cpp:116:54:   required from here
  116 |     vcg::ImplicitSmoother<ravetools::MyMesh>::Compute(m, par);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>; Functor = swap_assign_op<float>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<float>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>; Src = Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>; Func = swap_assign_op<float>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>; Src = Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>; Func = swap_assign_op<float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22:   required from ‘void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>]’
  424 |       call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op<Scalar>());
      |       ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1033:18:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialCholesky<Eigen::SparseMatrix<float, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::Product<Eigen::SparseMatrix<float, 0, int>, Eigen::Matrix<float, -1, -1>, 0> >; Derived = Eigen::Matrix<float, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Solve<Eigen::SimplicialCholesky<Eigen::SparseMatrix<float, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::Product<Eigen::SparseMatrix<float, 0, int>, Eigen::Matrix<float, -1, -1>, 0> >; OtherDerived = Eigen::Solve<Eigen::SimplicialCholesky<Eigen::SparseMatrix<float, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::Product<Eigen::SparseMatrix<float, 0, int>, Eigen::Matrix<float, -1, -1>, 0> >; Derived = Eigen::Matrix<float, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve<Eigen::SimplicialCholesky<Eigen::SparseMatrix<float, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::Product<Eigen::SparseMatrix<float, 0, int>, Eigen::Matrix<float, -1, -1>, 0> >; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48:   required from ‘Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Solve<Eigen::SimplicialCholesky<Eigen::SparseMatrix<float, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::Product<Eigen::SparseMatrix<float, 0, int>, Eigen::Matrix<float, -1, -1>, 0> >; EvalReturnType = const Eigen::Matrix<float, -1, -1>]’
  412 |       return typename internal::eval<Derived>::type(derived());
      |                                                ^~~~~~~~~~~~~~~
vcglib/vcg/complex/algorithms/implicit_smooth.h:368:35:   required from ‘static void vcg::ImplicitSmoother<MeshType>::Compute(MeshType&, Parameter&) [with MeshType = ravetools::MyMesh]’
  368 |         V = solver.solve(M*V).eval();
      |             ~~~~~~~~~~~~~~~~~~~~~~^~
vcgCommon.cpp:116:54:   required from here
  116 |     vcg::ImplicitSmoother<ravetools::MyMesh>::Compute(m, par);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<float, 3, 1>, 1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<float, 3, 1>, 1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<float, 3, 1>, 1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<float, 3, 1>, 1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<float, 3, 1>, 1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<float, 3, 1>, 1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, 3, 1>, Eigen::Transpose<Eigen::Matrix<float, 3, 1> >, 0>; Derived = Eigen::Matrix<float, 3, 3>]’
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
vcglib/vcg/space/fitting3.h:55:6:   required from ‘void vcg::ComputeCovarianceMatrix(const std::vector<Point3<P3ScalarType> >&, Point3<P3ScalarType>&, Eigen::Matrix<Type, 3, 3>&) [with S = float]’
   55 |     m+= p*p.transpose(); // outer product
      |     ~^~~~~~~~~~~~~~~~~~
vcglib/vcg/space/fitting3.h:69:26:   required from ‘void vcg::FitPlaneToPointSet(const std::vector<Point3<P3ScalarType> >&, Plane3<T, true>&) [with S = float]’
   69 |   ComputeCovarianceMatrix(pointVec,b,covMat);
      |   ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
vcglib/vcg/complex/algorithms/pointcloud_normal.h:83:27:   required from ‘static void vcg::tri::PointCloudNormal<MeshType>::ComputeUndirectedNormal(MeshType&, int, ScalarType, vcg::KdTree<typename SmoothMeshType::ScalarType>&, bool (*)(int, const char*)) [with MeshType = ravetools::MyMesh; ScalarType = float; typename SmoothMeshType::ScalarType = float; vcg::CallBackPos = bool(int, const char*)]’
   83 |         FitPlaneToPointSet(ptVec,plane);
      |         ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
vcglib/vcg/complex/algorithms/pointcloud_normal.h:139:28:   required from ‘static void vcg::tri::PointCloudNormal<MeshType>::Compute(MeshType&, Param, bool (*)(int, const char*)) [with MeshType = ravetools::MyMesh; vcg::CallBackPos = bool(int, const char*)]’
  139 |     ComputeUndirectedNormal(m, p.fittingAdjNum, std::numeric_limits<ScalarType>::max(), tree,cb);
      |     ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
vcgCommon.cpp:370:63:   required from here
  370 |       vcg::tri::PointCloudNormal< ravetools::MyMesh >::Compute(m,p);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<float, 1>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<float, 3, 1>, 1, 1, false> >’
  179 |     typedef typename internal::find_best_packet<Scalar,SizeAtCompileTime>::type PacketScalar;
      |                                                                                 ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<float, 3, 1>, 1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<float, 3, 1>, 1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<float, 3, 1>, 1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Matrix<float, 3, 1>, 1, 1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, 3, 1>, Eigen::Transpose<Eigen::Matrix<float, 3, 1> >, 0>; Derived = Eigen::Matrix<float, 3, 3>]’
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
vcglib/vcg/space/fitting3.h:55:6:   required from ‘void vcg::ComputeCovarianceMatrix(const std::vector<Point3<P3ScalarType> >&, Point3<P3ScalarType>&, Eigen::Matrix<Type, 3, 3>&) [with S = float]’
   55 |     m+= p*p.transpose(); // outer product
      |     ~^~~~~~~~~~~~~~~~~~
vcglib/vcg/space/fitting3.h:69:26:   required from ‘void vcg::FitPlaneToPointSet(const std::vector<Point3<P3ScalarType> >&, Plane3<T, true>&) [with S = float]’
   69 |   ComputeCovarianceMatrix(pointVec,b,covMat);
      |   ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
vcglib/vcg/complex/algorithms/pointcloud_normal.h:83:27:   required from ‘static void vcg::tri::PointCloudNormal<MeshType>::ComputeUndirectedNormal(MeshType&, int, ScalarType, vcg::KdTree<typename SmoothMeshType::ScalarType>&, bool (*)(int, const char*)) [with MeshType = ravetools::MyMesh; ScalarType = float; typename SmoothMeshType::ScalarType = float; vcg::CallBackPos = bool(int, const char*)]’
   83 |         FitPlaneToPointSet(ptVec,plane);
      |         ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
vcglib/vcg/complex/algorithms/pointcloud_normal.h:139:28:   required from ‘static void vcg::tri::PointCloudNormal<MeshType>::Compute(MeshType&, Param, bool (*)(int, const char*)) [with MeshType = ravetools::MyMesh; vcg::CallBackPos = bool(int, const char*)]’
  139 |     ComputeUndirectedNormal(m, p.fittingAdjNum, std::numeric_limits<ScalarType>::max(), tree,cb);
      |     ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
vcgCommon.cpp:370:63:   required from here
  370 |       vcg::tri::PointCloudNormal< ravetools::MyMesh >::Compute(m,p);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, 3, 1>, 1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, 3, 1>, 1, 1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, 3, 1>, 1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, 3, 1>, 1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<float, 3, 1>, 1, 1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, 3, 1>, 1, 1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, 3, 1>, Eigen::Transpose<Eigen::Matrix<float, 3, 1> >, 0>; Derived = Eigen::Matrix<float, 3, 3>]’
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
vcglib/vcg/space/fitting3.h:55:6:   required from ‘void vcg::ComputeCovarianceMatrix(const std::vector<Point3<P3ScalarType> >&, Point3<P3ScalarType>&, Eigen::Matrix<Type, 3, 3>&) [with S = float]’
   55 |     m+= p*p.transpose(); // outer product
      |     ~^~~~~~~~~~~~~~~~~~
vcglib/vcg/space/fitting3.h:69:26:   required from ‘void vcg::FitPlaneToPointSet(const std::vector<Point3<P3ScalarType> >&, Plane3<T, true>&) [with S = float]’
   69 |   ComputeCovarianceMatrix(pointVec,b,covMat);
      |   ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
vcglib/vcg/complex/algorithms/pointcloud_normal.h:83:27:   required from ‘static void vcg::tri::PointCloudNormal<MeshType>::ComputeUndirectedNormal(MeshType&, int, ScalarType, vcg::KdTree<typename SmoothMeshType::ScalarType>&, bool (*)(int, const char*)) [with MeshType = ravetools::MyMesh; ScalarType = float; typename SmoothMeshType::ScalarType = float; vcg::CallBackPos = bool(int, const char*)]’
   83 |         FitPlaneToPointSet(ptVec,plane);
      |         ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
vcglib/vcg/complex/algorithms/pointcloud_normal.h:139:28:   required from ‘static void vcg::tri::PointCloudNormal<MeshType>::Compute(MeshType&, Param, bool (*)(int, const char*)) [with MeshType = ravetools::MyMesh; vcg::CallBackPos = bool(int, const char*)]’
  139 |     ComputeUndirectedNormal(m, p.fittingAdjNum, std::numeric_limits<ScalarType>::max(), tree,cb);
      |     ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
vcgCommon.cpp:370:63:   required from here
  370 |       vcg::tri::PointCloudNormal< ravetools::MyMesh >::Compute(m,p);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, 3, 1> >, 1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, 3, 1> >, 1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, 3, 1> >, 1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, 3, 1> >, 1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, 3, 1> >, 1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Matrix<float, 3, 1> >, 1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, 3, 1>, Eigen::Transpose<Eigen::Matrix<float, 3, 1> >, 0>; Derived = Eigen::Matrix<float, 3, 3>]’
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
vcglib/vcg/space/fitting3.h:55:6:   required from ‘void vcg::ComputeCovarianceMatrix(const std::vector<Point3<P3ScalarType> >&, Point3<P3ScalarType>&, Eigen::Matrix<Type, 3, 3>&) [with S = float]’
   55 |     m+= p*p.transpose(); // outer product
      |     ~^~~~~~~~~~~~~~~~~~
vcglib/vcg/space/fitting3.h:69:26:   required from ‘void vcg::FitPlaneToPointSet(const std::vector<Point3<P3ScalarType> >&, Plane3<T, true>&) [with S = float]’
   69 |   ComputeCovarianceMatrix(pointVec,b,covMat);
      |   ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
vcglib/vcg/complex/algorithms/pointcloud_normal.h:83:27:   required from ‘static void vcg::tri::PointCloudNormal<MeshType>::ComputeUndirectedNormal(MeshType&, int, ScalarType, vcg::KdTree<typename SmoothMeshType::ScalarType>&, bool (*)(int, const char*)) [with MeshType = ravetools::MyMesh; ScalarType = float; typename SmoothMeshType::ScalarType = float; vcg::CallBackPos = bool(int, const char*)]’
   83 |         FitPlaneToPointSet(ptVec,plane);
      |         ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
vcglib/vcg/complex/algorithms/pointcloud_normal.h:139:28:   required from ‘static void vcg::tri::PointCloudNormal<MeshType>::Compute(MeshType&, Param, bool (*)(int, const char*)) [with MeshType = ravetools::MyMesh; vcg::CallBackPos = bool(int, const char*)]’
  139 |     ComputeUndirectedNormal(m, p.fittingAdjNum, std::numeric_limits<ScalarType>::max(), tree,cb);
      |     ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
vcgCommon.cpp:370:63:   required from here
  370 |       vcg::tri::PointCloudNormal< ravetools::MyMesh >::Compute(m,p);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, 3, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, 3, 1> >, 1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, 3, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, 3, 1> >, 1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, 3, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, 3, 1> >, 1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, 3, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, 3, 1> >, 1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, 3, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, 3, 1> >, 1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<float, 3, 1>; Rhs = Eigen::Transpose<Eigen::Matrix<float, 3, 1> >; int ProductTag = 4; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = float; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Matrix<float, 3, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = float; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Transpose<Eigen::Matrix<float, 3, 1> >; CoeffReturnType = float; Eigen::Index = long int]’
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, 3, 1>, Eigen::Transpose<Eigen::Matrix<float, 3, 1> >, 0>; Derived = Eigen::Matrix<float, 3, 3>]’
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
vcglib/vcg/space/fitting3.h:55:6:   required from ‘void vcg::ComputeCovarianceMatrix(const std::vector<Point3<P3ScalarType> >&, Point3<P3ScalarType>&, Eigen::Matrix<Type, 3, 3>&) [with S = float]’
   55 |     m+= p*p.transpose(); // outer product
      |     ~^~~~~~~~~~~~~~~~~~
vcglib/vcg/space/fitting3.h:69:26:   required from ‘void vcg::FitPlaneToPointSet(const std::vector<Point3<P3ScalarType> >&, Plane3<T, true>&) [with S = float]’
   69 |   ComputeCovarianceMatrix(pointVec,b,covMat);
      |   ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
vcglib/vcg/complex/algorithms/pointcloud_normal.h:83:27:   required from ‘static void vcg::tri::PointCloudNormal<MeshType>::ComputeUndirectedNormal(MeshType&, int, ScalarType, vcg::KdTree<typename SmoothMeshType::ScalarType>&, bool (*)(int, const char*)) [with MeshType = ravetools::MyMesh; ScalarType = float; typename SmoothMeshType::ScalarType = float; vcg::CallBackPos = bool(int, const char*)]’
   83 |         FitPlaneToPointSet(ptVec,plane);
      |         ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
vcglib/vcg/complex/algorithms/pointcloud_normal.h:139:28:   required from ‘static void vcg::tri::PointCloudNormal<MeshType>::Compute(MeshType&, Param, bool (*)(int, const char*)) [with MeshType = ravetools::MyMesh; vcg::CallBackPos = bool(int, const char*)]’
  139 |     ComputeUndirectedNormal(m, p.fittingAdjNum, std::numeric_limits<ScalarType>::max(), tree,cb);
      |     ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
vcgCommon.cpp:370:63:   required from here
  370 |       vcg::tri::PointCloudNormal< ravetools::MyMesh >::Compute(m,p);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>; Functor = assign_op<float, float>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>; Functor = Eigen::internal::assign_op<float, float>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>; Src = Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>; Func = assign_op<float, float>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>; Src = Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>; Func = assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>; Src = Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialCholesky<Eigen::SparseMatrix<float, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::Product<Eigen::SparseMatrix<float, 0, int>, Eigen::Matrix<float, -1, -1>, 0> >; Derived = Eigen::Matrix<float, -1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Solve<Eigen::SimplicialCholesky<Eigen::SparseMatrix<float, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::Product<Eigen::SparseMatrix<float, 0, int>, Eigen::Matrix<float, -1, -1>, 0> >; OtherDerived = Eigen::Solve<Eigen::SimplicialCholesky<Eigen::SparseMatrix<float, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::Product<Eigen::SparseMatrix<float, 0, int>, Eigen::Matrix<float, -1, -1>, 0> >; Derived = Eigen::Matrix<float, -1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve<Eigen::SimplicialCholesky<Eigen::SparseMatrix<float, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::Product<Eigen::SparseMatrix<float, 0, int>, Eigen::Matrix<float, -1, -1>, 0> >; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48:   required from ‘Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Solve<Eigen::SimplicialCholesky<Eigen::SparseMatrix<float, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::Product<Eigen::SparseMatrix<float, 0, int>, Eigen::Matrix<float, -1, -1>, 0> >; EvalReturnType = const Eigen::Matrix<float, -1, -1>]’
  412 |       return typename internal::eval<Derived>::type(derived());
      |                                                ^~~~~~~~~~~~~~~
vcglib/vcg/complex/algorithms/implicit_smooth.h:368:35:   required from ‘static void vcg::ImplicitSmoother<MeshType>::Compute(MeshType&, Parameter&) [with MeshType = ravetools::MyMesh]’
  368 |         V = solver.solve(M*V).eval();
      |             ~~~~~~~~~~~~~~~~~~~~~~^~
vcgCommon.cpp:116:54:   required from here
  116 |     vcg::ImplicitSmoother<ravetools::MyMesh>::Compute(m, par);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<float, 3, 1>, 1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<float, 3, 1>, 1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, 3, 1>, 1, 1, false> >, Eigen::internal::IndexBased, float>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, 3, 1>, 1, 1, false> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, 3, 1>, 1, 1, false> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, 3, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, 3, 1> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, 3, 1>, Eigen::Transpose<Eigen::Matrix<float, 3, 1> >, 0>; Derived = Eigen::Matrix<float, 3, 3>]’
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
vcglib/vcg/space/fitting3.h:55:6:   required from ‘void vcg::ComputeCovarianceMatrix(const std::vector<Point3<P3ScalarType> >&, Point3<P3ScalarType>&, Eigen::Matrix<Type, 3, 3>&) [with S = float]’
   55 |     m+= p*p.transpose(); // outer product
      |     ~^~~~~~~~~~~~~~~~~~
vcglib/vcg/space/fitting3.h:69:26:   required from ‘void vcg::FitPlaneToPointSet(const std::vector<Point3<P3ScalarType> >&, Plane3<T, true>&) [with S = float]’
   69 |   ComputeCovarianceMatrix(pointVec,b,covMat);
      |   ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
vcglib/vcg/complex/algorithms/pointcloud_normal.h:83:27:   required from ‘static void vcg::tri::PointCloudNormal<MeshType>::ComputeUndirectedNormal(MeshType&, int, ScalarType, vcg::KdTree<typename SmoothMeshType::ScalarType>&, bool (*)(int, const char*)) [with MeshType = ravetools::MyMesh; ScalarType = float; typename SmoothMeshType::ScalarType = float; vcg::CallBackPos = bool(int, const char*)]’
   83 |         FitPlaneToPointSet(ptVec,plane);
      |         ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
vcglib/vcg/complex/algorithms/pointcloud_normal.h:139:28:   required from ‘static void vcg::tri::PointCloudNormal<MeshType>::Compute(MeshType&, Param, bool (*)(int, const char*)) [with MeshType = ravetools::MyMesh; vcg::CallBackPos = bool(int, const char*)]’
  139 |     ComputeUndirectedNormal(m, p.fittingAdjNum, std::numeric_limits<ScalarType>::max(), tree,cb);
      |     ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
vcgCommon.cpp:370:63:   required from here
  370 |       vcg::tri::PointCloudNormal< ravetools::MyMesh >::Compute(m,p);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, 3, 1> >, 1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, 3, 1> >, 1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, 3, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, 3, 1> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, 3, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, 3, 1> >, 1, 1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, 3, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, 3, 1> >, 1, 1, false> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, 3, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, 3, 1> >, 1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = float]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, 3, 1>, Eigen::Transpose<Eigen::Matrix<float, 3, 1> >, 0>; Derived = Eigen::Matrix<float, 3, 3>]’
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
vcglib/vcg/space/fitting3.h:55:6:   required from ‘void vcg::ComputeCovarianceMatrix(const std::vector<Point3<P3ScalarType> >&, Point3<P3ScalarType>&, Eigen::Matrix<Type, 3, 3>&) [with S = float]’
   55 |     m+= p*p.transpose(); // outer product
      |     ~^~~~~~~~~~~~~~~~~~
vcglib/vcg/space/fitting3.h:69:26:   required from ‘void vcg::FitPlaneToPointSet(const std::vector<Point3<P3ScalarType> >&, Plane3<T, true>&) [with S = float]’
   69 |   ComputeCovarianceMatrix(pointVec,b,covMat);
      |   ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
vcglib/vcg/complex/algorithms/pointcloud_normal.h:83:27:   required from ‘static void vcg::tri::PointCloudNormal<MeshType>::ComputeUndirectedNormal(MeshType&, int, ScalarType, vcg::KdTree<typename SmoothMeshType::ScalarType>&, bool (*)(int, const char*)) [with MeshType = ravetools::MyMesh; ScalarType = float; typename SmoothMeshType::ScalarType = float; vcg::CallBackPos = bool(int, const char*)]’
   83 |         FitPlaneToPointSet(ptVec,plane);
      |         ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
vcglib/vcg/complex/algorithms/pointcloud_normal.h:139:28:   required from ‘static void vcg::tri::PointCloudNormal<MeshType>::Compute(MeshType&, Param, bool (*)(int, const char*)) [with MeshType = ravetools::MyMesh; vcg::CallBackPos = bool(int, const char*)]’
  139 |     ComputeUndirectedNormal(m, p.fittingAdjNum, std::numeric_limits<ScalarType>::max(), tree,cb);
      |     ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
vcgCommon.cpp:370:63:   required from here
  370 |       vcg::tri::PointCloudNormal< ravetools::MyMesh >::Compute(m,p);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
In file included from vcglib/vcg/space/distance3.h:29,
                 from vcglib/vcg/space/polygon3.h:31,
                 from vcglib/vcg/complex/used_types.h:31:
In function ‘vcg::IntersectionRayTriangle<float>(vcg::Ray3<float, false> const&, vcg::Point3<float> const&, vcg::Point3<float> const&, vcg::Point3<float> const&, float&, float&, float&)bool’,
    inlined from ‘vcg::RayTriangleIntersectionFunctor<true>::operator()<ravetools::MyFace, float>(ravetools::MyFace const&, vcg::Ray3<float, false> const&, float&)bool’ at vcglib/vcg/space/intersection3.h:750:44,
    inlined from ‘vcg::RayIterator<vcg::GridStaticPtr<ravetools::MyFace, float>, vcg::RayTriangleIntersectionFunctor<true>, vcg::tri::FaceTmark<ravetools::MyMesh> >::Refresh()’ at vcglib/vcg/space/index/space_iterators.h:216:56:
vcglib/vcg/space/intersection3.h:438:16: warning: ‘t’ may be used uninitialized [-Wmaybe-uninitialized]
  438 |     ScalarType new_hitDistance = hitDistance, new_bar1 = bar1, new_bar2 = bar2;
      |                ^~~~~~~~~~~~~~~
In file included from vcglib/vcg/space/index/grid_util.h:29,
                 from vcglib/vcg/space/index/grid_static_ptr.h:31,
                 from vcgCommon.h:21:
vcglib/vcg/space/index/space_iterators.h: In member function ‘vcg::RayIterator<vcg::GridStaticPtr<ravetools::MyFace, float>, vcg::RayTriangleIntersectionFunctor<true>, vcg::tri::FaceTmark<ravetools::MyMesh> >::Refresh()’:
vcglib/vcg/space/index/space_iterators.h:214:44: note: ‘t’ was declared here
  214 |                                 ScalarType t;
      |                                            ^
In function ‘vcg::IntersectionRayTriangle<float>(vcg::Ray3<float, false> const&, vcg::Point3<float> const&, vcg::Point3<float> const&, vcg::Point3<float> const&, float&, float&, float&)bool’,
    inlined from ‘vcg::RayTriangleIntersectionFunctor<true>::operator()<ravetools::MyFace, float>(ravetools::MyFace const&, vcg::Ray3<float, false> const&, float&)bool’ at vcglib/vcg/space/intersection3.h:750:44,
    inlined from ‘vcg::RayIterator<vcg::GridStaticPtr<ravetools::MyFace, float>, vcg::RayTriangleIntersectionFunctor<true>, vcg::tri::FaceTmark<ravetools::MyMesh> >::Refresh()’ at vcglib/vcg/space/index/space_iterators.h:216:56:
vcglib/vcg/space/intersection3.h:438:47: warning: ‘u’ may be used uninitialized [-Wmaybe-uninitialized]
  438 |     ScalarType new_hitDistance = hitDistance, new_bar1 = bar1, new_bar2 = bar2;
      |                                               ^~~~~~~~
vcglib/vcg/space/intersection3.h: In member function ‘vcg::RayIterator<vcg::GridStaticPtr<ravetools::MyFace, float>, vcg::RayTriangleIntersectionFunctor<true>, vcg::tri::FaceTmark<ravetools::MyMesh> >::Refresh()’:
vcglib/vcg/space/intersection3.h:747:20: note: ‘u’ was declared here
  747 |         ScalarType u;
      |                    ^
In function ‘vcg::IntersectionRayTriangle<float>(vcg::Ray3<float, false> const&, vcg::Point3<float> const&, vcg::Point3<float> const&, vcg::Point3<float> const&, float&, float&, float&)bool’,
    inlined from ‘vcg::RayTriangleIntersectionFunctor<true>::operator()<ravetools::MyFace, float>(ravetools::MyFace const&, vcg::Ray3<float, false> const&, float&)bool’ at vcglib/vcg/space/intersection3.h:750:44,
    inlined from ‘vcg::RayIterator<vcg::GridStaticPtr<ravetools::MyFace, float>, vcg::RayTriangleIntersectionFunctor<true>, vcg::tri::FaceTmark<ravetools::MyMesh> >::Refresh()’ at vcglib/vcg/space/index/space_iterators.h:216:56:
vcglib/vcg/space/intersection3.h:438:64: warning: ‘v’ may be used uninitialized [-Wmaybe-uninitialized]
  438 |     ScalarType new_hitDistance = hitDistance, new_bar1 = bar1, new_bar2 = bar2;
      |                                                                ^~~~~~~~
vcglib/vcg/space/intersection3.h: In member function ‘vcg::RayIterator<vcg::GridStaticPtr<ravetools::MyFace, float>, vcg::RayTriangleIntersectionFunctor<true>, vcg::tri::FaceTmark<ravetools::MyMesh> >::Refresh()’:
vcglib/vcg/space/intersection3.h:748:20: note: ‘v’ was declared here
  748 |         ScalarType v;
      |                    ^
In file included from vcgCommon.h:38:
vcglib/vcg/complex/algorithms/create/mc_trivial_walker.h: In member function ‘vcg::tri::TrivialWalker<ravetools::MyMesh, ravetools::MySimpleVolume<ravetools::MySimpleVoxel> >::GetZIntercept(vcg::Point3<int> const&, vcg::Point3<int> const&, ravetools::MyVertex*&)’:
vcglib/vcg/complex/algorithms/create/mc_trivial_walker.h:315:25: warning: ‘pos’ may be used uninitialized [-Wmaybe-uninitialized]
  315 |         v = &_mesh->vert[pos];
      |              ~~~~~~~~~~~^
vcglib/vcg/complex/algorithms/create/mc_trivial_walker.h:290:21: note: ‘pos’ was declared here
  290 |         VertexIndex pos;
      |                     ^~~
g++ -std=gnu++17 -shared -L/usr/lib64/R/lib -Wl,-z,relro -Wl,--as-needed -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -o ravetools.so RcppExports.o baseline.o bucketFill.o collapse-cplx.o collapse-real.o columnQuantile.o fastColMeans.o fastQuantile.o fastcov.o ffts.o fftw-wrapper.o filter.o glMatrix4.o glQuaternion.o glVector3.o rawToSEXP.o shiftarray.o threads.o utils.o vcgCommon.o -lfftw3 -L/usr/lib64/R/lib -lR
installing to /builddir/build/BUILDROOT/R-CRAN-ravetools-0.2.0-1.fc40.copr8401833.x86_64/usr/local/lib/R/library/00LOCK-ravetools/00new/ravetools/libs
** R
** data
*** moving datasets to lazyload DB
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
  converting help for package ‘ravetools’
    finding HTML links ... done
    band_pass                               html  
    baseline_array                          html  
    butter_max_order                        html  
    check_filter                            html  
    collapse                                html  
    convolve                                html  
    decimate                                html  
    design_filter                           html  
    design_filter_fir                       html  
    design_filter_iir                       html  
    detrend                                 html  
    diagnose_channel                        html  
    diagnose_filter                         html  
    dijkstras-path                          html  
    fast_cov                                html  
    fast_quantile                           html  
    fill_surface                            html  
    filter-window                           html  
    filter_signal                           html  
    filtfilt                                html  
    fir1                                    html  
    firls                                   html  
    freqz2                                  html  
    grow_volume                             html  
    internal_rave_function                  html  
    interpolate_stimulation                 html  
    is_not_cran                             html  
    left_hippocampus_mask                   html  
    matlab_palette                          html  
    mesh_from_volume                        html  
    multitaper                              html  
    new_matrix4                             html  
    new_quaternion                          html  
    new_vector3                             html  
    notch_filter                            html  
    parallel-options                        html  
    plot_signals                            html  
    pwelch                                  html  
    raw-to-sexp                             html  
    rcond_filter_ar                         html  
    reexports                               html  
    register_volume                         html  
    rgl-call                                html  
    shift_array                             html  
    vcg_isosurface                          html  
    vcg_mesh_volume                         html  
    vcg_raycaster                           html  
    vcg_smooth                              html  
    vcg_sphere                              html  
    vcg_uniform_remesh                      html  
    vcg_update_normals                      html  
    wavelet                                 html  
** 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 (ravetools)
+ test -d ravetools/src
+ cd ravetools/src
+ rm -f RcppExports.o baseline.o bucketFill.o collapse-cplx.o collapse-real.o columnQuantile.o fastColMeans.o fastQuantile.o fastcov.o ffts.o fftw-wrapper.o filter.o glMatrix4.o glQuaternion.o glVector3.o rawToSEXP.o shiftarray.o threads.o utils.o vcgCommon.o ravetools.so
+ rm -f /builddir/build/BUILDROOT/R-CRAN-ravetools-0.2.0-1.fc40.copr8401833.x86_64/usr/local/lib/R/library/R.css
+ find /builddir/build/BUILDROOT/R-CRAN-ravetools-0.2.0-1.fc40.copr8401833.x86_64/usr/local/lib/R/library -type f -exec sed -i s@/builddir/build/BUILDROOT/R-CRAN-ravetools-0.2.0-1.fc40.copr8401833.x86_64@@g '{}' ';'
+ /usr/bin/find-debuginfo -j2 --strict-build-id -m -i --build-id-seed 0.2.0-1.fc40.copr8401833 --unique-debug-suffix -0.2.0-1.fc40.copr8401833.x86_64 --unique-debug-src-base R-CRAN-ravetools-0.2.0-1.fc40.copr8401833.x86_64 --run-dwz --dwz-low-mem-die-limit 10000000 --dwz-max-die-limit 110000000 -S debugsourcefiles.list /builddir/build/BUILD/ravetools
find-debuginfo: starting
Extracting debug info from 1 files
DWARF-compressing 1 files
sepdebugcrcfix: Updated 1 CRC32s, 0 CRC32s did match.
Creating .debug symlinks for symlinks to ELF files
Copying sources found by 'debugedit -l' to /usr/src/debug/R-CRAN-ravetools-0.2.0-1.fc40.copr8401833.x86_64
4131 blocks
find-debuginfo: done
+ /usr/lib/rpm/check-buildroot
+ /usr/lib/rpm/redhat/brp-ldconfig
+ /usr/lib/rpm/brp-compress
+ /usr/lib/rpm/redhat/brp-strip-lto /usr/bin/strip
+ /usr/lib/rpm/brp-strip-static-archive /usr/bin/strip
+ /usr/lib/rpm/redhat/brp-mangle-shebangs
*** WARNING: ./usr/src/debug/R-CRAN-ravetools-0.2.0-1.fc40.copr8401833.x86_64/ravetools/src/vcglib/vcg/complex/all_types.h is executable but has no shebang, removing executable bit
*** WARNING: ./usr/src/debug/R-CRAN-ravetools-0.2.0-1.fc40.copr8401833.x86_64/ravetools/src/vcglib/vcg/complex/used_types.h is executable but has no shebang, removing executable bit
*** WARNING: ./usr/src/debug/R-CRAN-ravetools-0.2.0-1.fc40.copr8401833.x86_64/ravetools/src/vcglib/vcg/space/index/kdtree/kdtree.h is executable but has no shebang, removing executable bit
*** WARNING: ./usr/src/debug/R-CRAN-ravetools-0.2.0-1.fc40.copr8401833.x86_64/ravetools/src/vcglib/vcg/space/index/kdtree/priorityqueue.h is executable but has no shebang, removing executable bit
+ /usr/lib/rpm/brp-remove-la-files
+ env /usr/lib/rpm/redhat/brp-python-bytecompile '' 1 0 -j2
+ /usr/lib/rpm/redhat/brp-python-hardlink
Processing files: R-CRAN-ravetools-0.2.0-1.fc40.copr8401833.x86_64
Provides: R-CRAN-ravetools = 0.2.0-1.fc40.copr8401833 R-CRAN-ravetools(x86-64) = 0.2.0-1.fc40.copr8401833
Requires(rpmlib): rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1
Requires: ld-linux-x86-64.so.2()(64bit) ld-linux-x86-64.so.2(GLIBC_2.3)(64bit) libR.so()(64bit) libc.so.6()(64bit) libc.so.6(GLIBC_2.11)(64bit) libc.so.6(GLIBC_2.14)(64bit) libc.so.6(GLIBC_2.2.5)(64bit) libc.so.6(GLIBC_2.3.4)(64bit) libc.so.6(GLIBC_2.34)(64bit) libc.so.6(GLIBC_2.38)(64bit) libc.so.6(GLIBC_2.4)(64bit) libc.so.6(GLIBC_ABI_DT_RELR)(64bit) libfftw3.so.3()(64bit) libgcc_s.so.1()(64bit) libgcc_s.so.1(GCC_3.0)(64bit) libgcc_s.so.1(GCC_3.3.1)(64bit) libm.so.6()(64bit) libm.so.6(GLIBC_2.2.5)(64bit) libm.so.6(GLIBC_2.29)(64bit) libstdc++.so.6()(64bit) libstdc++.so.6(CXXABI_1.3)(64bit) libstdc++.so.6(CXXABI_1.3.15)(64bit) libstdc++.so.6(CXXABI_1.3.8)(64bit) libstdc++.so.6(CXXABI_1.3.9)(64bit) libstdc++.so.6(GLIBCXX_3.4)(64bit) libstdc++.so.6(GLIBCXX_3.4.11)(64bit) libstdc++.so.6(GLIBCXX_3.4.18)(64bit) libstdc++.so.6(GLIBCXX_3.4.20)(64bit) libstdc++.so.6(GLIBCXX_3.4.21)(64bit) libstdc++.so.6(GLIBCXX_3.4.26)(64bit) libstdc++.so.6(GLIBCXX_3.4.29)(64bit) libstdc++.so.6(GLIBCXX_3.4.30)(64bit) libstdc++.so.6(GLIBCXX_3.4.32)(64bit) libstdc++.so.6(GLIBCXX_3.4.9)(64bit) rtld(GNU_HASH)
Processing files: R-CRAN-ravetools-debugsource-0.2.0-1.fc40.copr8401833.x86_64
Provides: R-CRAN-ravetools-debugsource = 0.2.0-1.fc40.copr8401833 R-CRAN-ravetools-debugsource(x86-64) = 0.2.0-1.fc40.copr8401833
Requires(rpmlib): rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1
Processing files: R-CRAN-ravetools-debuginfo-0.2.0-1.fc40.copr8401833.x86_64
Provides: R-CRAN-ravetools-debuginfo = 0.2.0-1.fc40.copr8401833 R-CRAN-ravetools-debuginfo(x86-64) = 0.2.0-1.fc40.copr8401833 debuginfo(build-id) = 2c5841b516739b79182c60a3de42c7842d7c4757
Requires(rpmlib): rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1
Recommends: R-CRAN-ravetools-debugsource(x86-64) = 0.2.0-1.fc40.copr8401833
Checking for unpackaged file(s): /usr/lib/rpm/check-files /builddir/build/BUILDROOT/R-CRAN-ravetools-0.2.0-1.fc40.copr8401833.x86_64
Wrote: /builddir/build/RPMS/R-CRAN-ravetools-debugsource-0.2.0-1.fc40.copr8401833.x86_64.rpm
Wrote: /builddir/build/RPMS/R-CRAN-ravetools-0.2.0-1.fc40.copr8401833.x86_64.rpm
Wrote: /builddir/build/RPMS/R-CRAN-ravetools-debuginfo-0.2.0-1.fc40.copr8401833.x86_64.rpm
Executing(%clean): /bin/sh -e /var/tmp/rpm-tmp.CxItFC
+ umask 022
+ cd /builddir/build/BUILD
+ cd ravetools
+ /usr/bin/rm -rf /builddir/build/BUILDROOT/R-CRAN-ravetools-0.2.0-1.fc40.copr8401833.x86_64
+ RPM_EC=0
++ jobs -p
+ exit 0
Executing(rmbuild): /bin/sh -e /var/tmp/rpm-tmp.7j0fwt
+ umask 022
+ cd /builddir/build/BUILD
+ rm -rf /builddir/build/BUILD/ravetools-SPECPARTS
+ rm -rf ravetools ravetools.gemspec
+ RPM_EC=0
++ jobs -p
+ exit 0

RPM build warnings:
    source_date_epoch_from_changelog set but %changelog is missing
Finish: rpmbuild R-CRAN-ravetools-0.2.0-1.fc40.copr8401833.src.rpm
Finish: build phase for R-CRAN-ravetools-0.2.0-1.fc40.copr8401833.src.rpm
INFO: chroot_scan: 1 files copied to /var/lib/copr-rpmbuild/results/chroot_scan
INFO: /var/lib/mock/fedora-40-x86_64-1734400461.336274/root/var/log/dnf5.log
INFO: chroot_scan: creating tarball /var/lib/copr-rpmbuild/results/chroot_scan.tar.gz
/bin/tar: Removing leading `/' from member names
INFO: Done(/var/lib/copr-rpmbuild/results/R-CRAN-ravetools-0.2.0-1.fc40.copr8401833.src.rpm) Config(child) 2 minutes 13 seconds
INFO: Results and/or logs in: /var/lib/copr-rpmbuild/results
INFO: Cleaning up build root ('cleanup_on_success=True')
Start: clean chroot
INFO: unmounting tmpfs.
Finish: clean chroot
Finish: run
Running RPMResults tool
Package info:
{
    "packages": [
        {
            "name": "R-CRAN-ravetools-debugsource",
            "epoch": null,
            "version": "0.2.0",
            "release": "1.fc40.copr8401833",
            "arch": "x86_64"
        },
        {
            "name": "R-CRAN-ravetools",
            "epoch": null,
            "version": "0.2.0",
            "release": "1.fc40.copr8401833",
            "arch": "x86_64"
        },
        {
            "name": "R-CRAN-ravetools",
            "epoch": null,
            "version": "0.2.0",
            "release": "1.fc40.copr8401833",
            "arch": "src"
        },
        {
            "name": "R-CRAN-ravetools-debuginfo",
            "epoch": null,
            "version": "0.2.0",
            "release": "1.fc40.copr8401833",
            "arch": "x86_64"
        }
    ]
}
RPMResults finished