Warning: Permanently added '52.90.53.206' (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/9505275-fedora-43-x86_64 --chroot fedora-43-x86_64


Version: 1.4
PID: 18973
Logging PID: 18975
Task:
{'allow_user_ssh': False,
 'appstream': False,
 'background': True,
 'build_id': 9505275,
 'buildroot_pkgs': [],
 'chroot': 'fedora-43-x86_64',
 'enable_net': False,
 'fedora_review': False,
 'git_hash': '7b7220eaec522759c9514451347de1cf1a9a1b0f',
 'git_repo': 'https://copr-dist-git.fedorainfracloud.org/git/@python/python-in-pulp/python-xbout',
 'isolation': 'default',
 'memory_reqs': 2048,
 'package_name': 'python-xbout',
 'package_version': '0.3.6-6',
 'project_dirname': 'python-in-pulp',
 'project_name': 'python-in-pulp',
 'project_owner': '@python',
 'repo_priority': None,
 'repos': [{'baseurl': 'https://console.redhat.com/api/pulp-content/public-copr/@python/python-in-pulp/fedora-43-x86_64/',
            'id': 'copr_base',
            'name': 'Copr repository',
            'priority': None}],
 'sandbox': '@python/python-in-pulp--frostyx',
 'source_json': {},
 'source_type': None,
 'ssh_public_keys': None,
 'storage': 1,
 'submitter': 'frostyx',
 'tags': [],
 'task_id': '9505275-fedora-43-x86_64',
 'timeout': 18000,
 'uses_devel_repo': False,
 'with_opts': [],
 'without_opts': []}

Running: git clone https://copr-dist-git.fedorainfracloud.org/git/@python/python-in-pulp/python-xbout /var/lib/copr-rpmbuild/workspace/workdir-9lzsl0vl/python-xbout --depth 500 --no-single-branch --recursive

cmd: ['git', 'clone', 'https://copr-dist-git.fedorainfracloud.org/git/@python/python-in-pulp/python-xbout', '/var/lib/copr-rpmbuild/workspace/workdir-9lzsl0vl/python-xbout', '--depth', '500', '--no-single-branch', '--recursive']
cwd: .
rc: 0
stdout: 
stderr: Cloning into '/var/lib/copr-rpmbuild/workspace/workdir-9lzsl0vl/python-xbout'...

Running: git checkout 7b7220eaec522759c9514451347de1cf1a9a1b0f --

cmd: ['git', 'checkout', '7b7220eaec522759c9514451347de1cf1a9a1b0f', '--']
cwd: /var/lib/copr-rpmbuild/workspace/workdir-9lzsl0vl/python-xbout
rc: 0
stdout: 
stderr: Note: switching to '7b7220eaec522759c9514451347de1cf1a9a1b0f'.

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 7b7220e automatic import of python-xbout

Running: dist-git-client sources

cmd: ['dist-git-client', 'sources']
cwd: /var/lib/copr-rpmbuild/workspace/workdir-9lzsl0vl/python-xbout
rc: 0
stdout: 
stderr: INFO: Reading stdout from command: git rev-parse --abbrev-ref HEAD
INFO: Reading stdout from command: git rev-parse HEAD
INFO: Reading sources specification file: sources
INFO: Downloading xbout-0.3.6.tar.gz
INFO: Reading stdout from command: curl --help all
INFO: Calling: curl -H Pragma: -o xbout-0.3.6.tar.gz --location --connect-timeout 60 --retry 3 --retry-delay 10 --remote-time --show-error --fail --retry-all-errors https://copr-dist-git.fedorainfracloud.org/repo/pkgs/@python/python-in-pulp/python-xbout/xbout-0.3.6.tar.gz/md5/f4970400bb7c6d2380b222c0bb98302a/xbout-0.3.6.tar.gz
  % Total    % Received % Xferd  Average Speed   Time    Time     Time  Current
                                 Dload  Upload   Total   Spent    Left  Speed
100 4692k  100 4692k    0     0  24.9M      0 --:--:-- --:--:-- --:--:-- 25.0M
INFO: Reading stdout from command: md5sum xbout-0.3.6.tar.gz

tail: /var/lib/copr-rpmbuild/main.log: file truncated
Running (timeout=18000): unbuffer mock --spec /var/lib/copr-rpmbuild/workspace/workdir-9lzsl0vl/python-xbout/python-xbout.spec --sources /var/lib/copr-rpmbuild/workspace/workdir-9lzsl0vl/python-xbout --resultdir /var/lib/copr-rpmbuild/results --uniqueext 1756533364.707914 -r /var/lib/copr-rpmbuild/results/configs/child.cfg
INFO: mock.py version 6.3 starting (python version = 3.13.5, NVR = mock-6.3-1.fc42), args: /usr/libexec/mock/mock --spec /var/lib/copr-rpmbuild/workspace/workdir-9lzsl0vl/python-xbout/python-xbout.spec --sources /var/lib/copr-rpmbuild/workspace/workdir-9lzsl0vl/python-xbout --resultdir /var/lib/copr-rpmbuild/results --uniqueext 1756533364.707914 -r /var/lib/copr-rpmbuild/results/configs/child.cfg
Start(bootstrap): init plugins
INFO: tmpfs initialized
INFO: selinux enabled
INFO: chroot_scan: initialized
INFO: compress_logs: initialized
Finish(bootstrap): init plugins
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-9lzsl0vl/python-xbout/python-xbout.spec)  Config(fedora-43-x86_64)
Start: clean chroot
Finish: clean chroot
Mock Version: 6.3
INFO: Mock Version: 6.3
Start(bootstrap): chroot init
INFO: mounting tmpfs at /var/lib/mock/fedora-43-x86_64-bootstrap-1756533364.707914/root.
INFO: calling preinit hooks
INFO: enabled root cache
INFO: enabled package manager cache
Start(bootstrap): cleaning package manager metadata
Finish(bootstrap): cleaning package manager metadata
INFO: Guessed host environment type: unknown
INFO: Using container image: registry.fedoraproject.org/fedora:43
INFO: Pulling image: registry.fedoraproject.org/fedora:43
INFO: Tagging container image as mock-bootstrap-5eca3909-c87f-4f67-94eb-5b5a4de3dfb5
INFO: Checking that 382e5aabd9bd7331e949b34780ba0537cbb4fa158b9bc862b686bf5242491e14 image matches host's architecture
INFO: Copy content of container 382e5aabd9bd7331e949b34780ba0537cbb4fa158b9bc862b686bf5242491e14 to /var/lib/mock/fedora-43-x86_64-bootstrap-1756533364.707914/root
INFO: mounting 382e5aabd9bd7331e949b34780ba0537cbb4fa158b9bc862b686bf5242491e14 with podman image mount
INFO: image 382e5aabd9bd7331e949b34780ba0537cbb4fa158b9bc862b686bf5242491e14 as /var/lib/containers/storage/overlay/bad52b50ba49d792ba4b7ca519e55a6cb55d2e9af90ec0b989c74c638ba30c18/merged
INFO: umounting image 382e5aabd9bd7331e949b34780ba0537cbb4fa158b9bc862b686bf5242491e14 (/var/lib/containers/storage/overlay/bad52b50ba49d792ba4b7ca519e55a6cb55d2e9af90ec0b989c74c638ba30c18/merged) with podman image umount
INFO: Removing image mock-bootstrap-5eca3909-c87f-4f67-94eb-5b5a4de3dfb5
INFO: Package manager dnf5 detected and used (fallback)
INFO: Not updating bootstrap chroot, bootstrap_image_ready=True
Start(bootstrap): creating root cache
Finish(bootstrap): creating root cache
Finish(bootstrap): chroot init
Start: chroot init
INFO: mounting tmpfs at /var/lib/mock/fedora-43-x86_64-1756533364.707914/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 (direct choice)
INFO: Buildroot is handled by package management downloaded with a bootstrap image:
  rpm-5.99.91-5.fc43.x86_64
  rpm-sequoia-1.9.0-2.fc43.x86_64
  dnf5-5.2.16.0-3.fc43.x86_64
  dnf5-plugins-5.2.16.0-3.fc43.x86_64
Start: installing minimal buildroot with dnf5
Updating and loading repositories:
 updates                                100% |  72.1 KiB/s |  34.2 KiB |  00m00s
 Copr repository                        100% | 982.4 KiB/s | 415.5 KiB |  00m00s
 fedora                                 100% |  32.7 MiB/s |  35.3 MiB |  00m01s
Repositories loaded.
Package                            Arch   Version                     Repository      Size
Installing group/module packages:
 bash                              x86_64 5.3.0-2.fc43                fedora       8.4 MiB
 bzip2                             x86_64 1.0.8-21.fc43               fedora      95.3 KiB
 coreutils                         x86_64 9.7-5.fc43                  fedora       5.4 MiB
 cpio                              x86_64 2.15-6.fc43                 fedora       1.1 MiB
 diffutils                         x86_64 3.12-3.fc43                 fedora       1.6 MiB
 fedora-release-common             noarch 43-0.22                     fedora      20.4 KiB
 findutils                         x86_64 1:4.10.0-6.fc43             fedora       1.8 MiB
 gawk                              x86_64 5.3.2-2.fc43                fedora       1.8 MiB
 glibc-minimal-langpack            x86_64 2.42-4.fc43                 fedora       0.0   B
 grep                              x86_64 3.12-2.fc43                 fedora       1.0 MiB
 gzip                              x86_64 1.13-4.fc43                 fedora     388.8 KiB
 info                              x86_64 7.2-6.fc43                  fedora     353.9 KiB
 patch                             x86_64 2.8-2.fc43                  fedora     222.8 KiB
 redhat-rpm-config                 noarch 343-11.fc43                 fedora     182.9 KiB
 rpm-build                         x86_64 5.99.92-1.fc43              copr_base  285.5 KiB
 sed                               x86_64 4.9-5.fc43                  fedora     857.3 KiB
 shadow-utils                      x86_64 2:4.18.0-3.fc43             fedora       3.9 MiB
 tar                               x86_64 2:1.35-6.fc43               fedora       2.9 MiB
 unzip                             x86_64 6.0-67.fc43                 fedora     386.3 KiB
 util-linux                        x86_64 2.41.1-16.fc43              fedora       3.5 MiB
 which                             x86_64 2.23-3.fc43                 fedora      83.5 KiB
 xz                                x86_64 1:5.8.1-2.fc43              fedora       1.3 MiB
Installing dependencies:
 add-determinism                   x86_64 0.6.0-2.fc43                fedora       2.4 MiB
 alternatives                      x86_64 1.33-2.fc43                 fedora      62.2 KiB
 ansible-srpm-macros               noarch 1-18.1.fc43                 fedora      35.7 KiB
 audit-libs                        x86_64 4.1.1-2.fc43                fedora     378.8 KiB
 binutils                          x86_64 2.45-1.fc43                 fedora      26.5 MiB
 build-reproducibility-srpm-macros noarch 0.6.0-2.fc43                fedora     735.0   B
 bzip2-libs                        x86_64 1.0.8-21.fc43               fedora      80.6 KiB
 ca-certificates                   noarch 2025.2.80_v9.0.304-1.0.fc43 fedora       2.7 MiB
 coreutils-common                  x86_64 9.7-5.fc43                  fedora      11.3 MiB
 crypto-policies                   noarch 20250714-4.gitcd6043a.fc43  fedora     146.9 KiB
 curl                              x86_64 8.15.0-2.fc43               fedora     473.6 KiB
 cyrus-sasl-lib                    x86_64 2.1.28-33.fc43              fedora       2.3 MiB
 debugedit                         x86_64 5.2-2.fc43                  fedora     197.8 KiB
 dwz                               x86_64 0.16-2.fc43                 fedora     287.1 KiB
 ed                                x86_64 1.22.2-1.fc43               fedora     148.1 KiB
 efi-srpm-macros                   noarch 6-4.fc43                    fedora      40.1 KiB
 elfutils                          x86_64 0.193-3.fc43                fedora       2.9 MiB
 elfutils-debuginfod-client        x86_64 0.193-3.fc43                fedora      83.9 KiB
 elfutils-default-yama-scope       noarch 0.193-3.fc43                fedora       1.8 KiB
 elfutils-libelf                   x86_64 0.193-3.fc43                fedora       1.2 MiB
 elfutils-libs                     x86_64 0.193-3.fc43                fedora     683.4 KiB
 fedora-gpg-keys                   noarch 43-0.4                      fedora     131.2 KiB
 fedora-release                    noarch 43-0.22                     fedora       0.0   B
 fedora-release-identity-basic     noarch 43-0.22                     fedora     658.0   B
 fedora-repos                      noarch 43-0.4                      fedora       4.9 KiB
 file                              x86_64 5.46-7.fc43                 fedora     100.2 KiB
 file-libs                         x86_64 5.46-7.fc43                 fedora      11.9 MiB
 filesystem                        x86_64 3.18-50.fc43                fedora     112.0   B
 filesystem-srpm-macros            noarch 3.18-50.fc43                fedora      38.2 KiB
 fonts-srpm-macros                 noarch 1:2.0.5-23.fc43             fedora      55.8 KiB
 forge-srpm-macros                 noarch 0.4.0-3.fc43                fedora      38.9 KiB
 fpc-srpm-macros                   noarch 1.3-15.fc43                 fedora     144.0   B
 gap-srpm-macros                   noarch 1-1.fc43                    fedora       2.0 KiB
 gdb-minimal                       x86_64 16.3-5.fc43                 fedora      13.3 MiB
 gdbm-libs                         x86_64 1:1.23-10.fc43              fedora     129.9 KiB
 ghc-srpm-macros                   noarch 1.9.2-3.fc43                fedora     779.0   B
 glibc                             x86_64 2.42-4.fc43                 fedora       6.7 MiB
 glibc-common                      x86_64 2.42-4.fc43                 fedora       1.0 MiB
 glibc-gconv-extra                 x86_64 2.42-4.fc43                 fedora       7.2 MiB
 gmp                               x86_64 1:6.3.0-4.fc43              fedora     811.2 KiB
 gnat-srpm-macros                  noarch 6-8.fc43                    fedora       1.0 KiB
 gnupg2                            x86_64 2.4.8-4.fc43                fedora       6.5 MiB
 gnupg2-dirmngr                    x86_64 2.4.8-4.fc43                fedora     618.4 KiB
 gnupg2-gpg-agent                  x86_64 2.4.8-4.fc43                fedora     671.4 KiB
 gnupg2-gpgconf                    x86_64 2.4.8-4.fc43                fedora     250.0 KiB
 gnupg2-keyboxd                    x86_64 2.4.8-4.fc43                fedora     201.4 KiB
 gnupg2-verify                     x86_64 2.4.8-4.fc43                fedora     348.5 KiB
 gnutls                            x86_64 3.8.10-3.fc43               fedora       3.8 MiB
 go-srpm-macros                    noarch 3.7.0-4.fc43                fedora      61.6 KiB
 gpgverify                         noarch 2.2-3.fc43                  fedora       8.7 KiB
 ima-evm-utils-libs                x86_64 1.6.2-6.fc43                fedora      60.7 KiB
 jansson                           x86_64 2.14-3.fc43                 fedora      89.1 KiB
 java-srpm-macros                  noarch 1-7.fc43                    fedora     870.0   B
 json-c                            x86_64 0.18-7.fc43                 fedora      82.7 KiB
 kernel-srpm-macros                noarch 1.0-27.fc43                 fedora       1.9 KiB
 keyutils-libs                     x86_64 1.6.3-6.fc43                fedora      54.3 KiB
 krb5-libs                         x86_64 1.21.3-7.fc43               fedora       2.3 MiB
 libacl                            x86_64 2.3.2-4.fc43                fedora      35.9 KiB
 libarchive                        x86_64 3.8.1-3.fc43                fedora     951.1 KiB
 libassuan                         x86_64 2.5.7-4.fc43                fedora     163.8 KiB
 libattr                           x86_64 2.5.2-6.fc43                fedora      24.4 KiB
 libblkid                          x86_64 2.41.1-16.fc43              fedora     262.4 KiB
 libbrotli                         x86_64 1.1.0-9.fc43                fedora     833.3 KiB
 libcap                            x86_64 2.76-3.fc43                 fedora     209.1 KiB
 libcap-ng                         x86_64 0.8.5-7.fc43                fedora      68.9 KiB
 libcom_err                        x86_64 1.47.3-2.fc43               fedora      63.1 KiB
 libcurl                           x86_64 8.15.0-2.fc43               fedora     903.2 KiB
 libeconf                          x86_64 0.7.9-2.fc43                fedora      64.9 KiB
 libevent                          x86_64 2.1.12-16.fc43              fedora     883.1 KiB
 libfdisk                          x86_64 2.41.1-16.fc43              fedora     380.4 KiB
 libffi                            x86_64 3.5.1-2.fc43                fedora      83.6 KiB
 libfsverity                       x86_64 1.6-3.fc43                  fedora      28.5 KiB
 libgcc                            x86_64 15.2.1-1.fc43.1             fedora     266.6 KiB
 libgcrypt                         x86_64 1.11.1-2.fc43               fedora       1.6 MiB
 libgomp                           x86_64 15.2.1-1.fc43.1             fedora     541.1 KiB
 libgpg-error                      x86_64 1.55-2.fc43                 fedora     915.3 KiB
 libidn2                           x86_64 2.3.8-2.fc43                fedora     552.5 KiB
 libksba                           x86_64 1.6.7-4.fc43                fedora     398.5 KiB
 liblastlog2                       x86_64 2.41.1-16.fc43              fedora      33.9 KiB
 libmount                          x86_64 2.41.1-16.fc43              fedora     372.7 KiB
 libnghttp2                        x86_64 1.66.0-2.fc43               fedora     162.2 KiB
 libpkgconf                        x86_64 2.3.0-3.fc43                fedora      78.1 KiB
 libpsl                            x86_64 0.21.5-6.fc43               fedora      76.4 KiB
 libselinux                        x86_64 3.9-4.fc43                  fedora     193.1 KiB
 libsemanage                       x86_64 3.9-3.fc43                  fedora     308.5 KiB
 libsepol                          x86_64 3.9-2.fc43                  fedora     822.0 KiB
 libsmartcols                      x86_64 2.41.1-16.fc43              fedora     180.5 KiB
 libssh                            x86_64 0.11.2-2.fc43               fedora     566.7 KiB
 libssh-config                     noarch 0.11.2-2.fc43               fedora     277.0   B
 libstdc++                         x86_64 15.2.1-1.fc43.1             fedora       2.8 MiB
 libtasn1                          x86_64 4.20.0-2.fc43               fedora     176.3 KiB
 libtool-ltdl                      x86_64 2.5.4-7.fc43                fedora      70.1 KiB
 libunistring                      x86_64 1.1-10.fc43                 fedora       1.7 MiB
 libusb1                           x86_64 1.0.29-3.fc43               fedora     171.3 KiB
 libuuid                           x86_64 2.41.1-16.fc43              fedora      37.4 KiB
 libverto                          x86_64 0.3.2-11.fc43               fedora      25.4 KiB
 libxcrypt                         x86_64 4.4.38-8.fc43               fedora     284.5 KiB
 libxml2                           x86_64 2.12.10-4.fc43              fedora       1.7 MiB
 libzstd                           x86_64 1.5.7-2.fc43                fedora     799.9 KiB
 lua-libs                          x86_64 5.4.8-2.fc43                fedora     280.8 KiB
 lua-srpm-macros                   noarch 1-16.fc43                   fedora       1.3 KiB
 lz4-libs                          x86_64 1.10.0-3.fc43               fedora     161.4 KiB
 mpfr                              x86_64 4.2.2-2.fc43                fedora     832.8 KiB
 ncurses-base                      noarch 6.5-7.20250614.fc43         fedora     328.1 KiB
 ncurses-libs                      x86_64 6.5-7.20250614.fc43         fedora     946.3 KiB
 nettle                            x86_64 3.10.1-2.fc43               fedora     790.6 KiB
 npth                              x86_64 1.8-3.fc43                  fedora      49.6 KiB
 ocaml-srpm-macros                 noarch 11-2.fc43                   fedora       1.9 KiB
 openblas-srpm-macros              noarch 2-20.fc43                   fedora     112.0   B
 openldap                          x86_64 2.6.10-3.fc43               fedora     655.8 KiB
 openssl-libs                      x86_64 1:3.5.1-2.fc43              fedora       8.9 MiB
 p11-kit                           x86_64 0.25.5-9.fc43               fedora       2.2 MiB
 p11-kit-trust                     x86_64 0.25.5-9.fc43               fedora     395.5 KiB
 package-notes-srpm-macros         noarch 0.5-14.fc43                 fedora       1.6 KiB
 pam-libs                          x86_64 1.7.1-3.fc43                fedora     126.8 KiB
 pcre2                             x86_64 10.45-1.fc43.1              fedora     697.7 KiB
 pcre2-syntax                      noarch 10.45-1.fc43.1              fedora     273.9 KiB
 perl-srpm-macros                  noarch 1-60.fc43                   fedora     861.0   B
 pkgconf                           x86_64 2.3.0-3.fc43                fedora      88.5 KiB
 pkgconf-m4                        noarch 2.3.0-3.fc43                fedora      14.4 KiB
 pkgconf-pkg-config                x86_64 2.3.0-3.fc43                fedora     989.0   B
 popt                              x86_64 1.19-9.fc43                 fedora     132.8 KiB
 publicsuffix-list-dafsa           noarch 20250616-2.fc43             fedora      69.1 KiB
 pyproject-srpm-macros             noarch 1.18.3-2.fc43               fedora       1.9 KiB
 python-srpm-macros                noarch 3.14-5.fc43                 fedora      51.5 KiB
 qt5-srpm-macros                   noarch 5.15.17-2.fc43              fedora     500.0   B
 qt6-srpm-macros                   noarch 6.9.1-2.fc43                fedora     464.0   B
 readline                          x86_64 8.3-2.fc43                  fedora     511.7 KiB
 rpm                               x86_64 5.99.92-1.fc43              copr_base    3.0 MiB
 rpm-build-libs                    x86_64 5.99.92-1.fc43              copr_base  272.4 KiB
 rpm-libs                          x86_64 5.99.92-1.fc43              copr_base  933.7 KiB
 rpm-sequoia                       x86_64 1.9.0-2.fc43                fedora       2.5 MiB
 rpm-sign-libs                     x86_64 5.99.92-1.fc43              copr_base   39.8 KiB
 rust-srpm-macros                  noarch 26.4-1.fc43                 fedora       4.8 KiB
 setup                             noarch 2.15.0-26.fc43              fedora     725.0 KiB
 sqlite-libs                       x86_64 3.50.2-2.fc43               fedora       1.5 MiB
 systemd-libs                      x86_64 257.7-1.fc43                fedora       2.2 MiB
 systemd-standalone-sysusers       x86_64 257.7-1.fc43                fedora     277.3 KiB
 tpm2-tss                          x86_64 4.1.3-8.fc43                fedora       1.6 MiB
 tree-sitter-srpm-macros           noarch 0.4.2-1.fc43                fedora       8.3 KiB
 util-linux-core                   x86_64 2.41.1-16.fc43              fedora       1.5 MiB
 xxhash-libs                       x86_64 0.8.3-3.fc43                fedora      90.2 KiB
 xz-libs                           x86_64 1:5.8.1-2.fc43              fedora     217.8 KiB
 zig-srpm-macros                   noarch 1-5.fc43                    fedora       1.1 KiB
 zip                               x86_64 3.0-44.fc43                 fedora     694.5 KiB
 zlib-ng-compat                    x86_64 2.2.5-1.fc43                fedora     137.6 KiB
 zstd                              x86_64 1.5.7-2.fc43                fedora       1.7 MiB
Installing groups:
 Buildsystem building group                                                               

Transaction Summary:
 Installing:       169 packages

Total size of inbound packages is 59 MiB. Need to download 59 MiB.
After this operation, 198 MiB extra will be used (install 198 MiB, remove 0 B).
[  1/169] bzip2-0:1.0.8-21.fc43.x86_64  100% |   4.6 MiB/s |  51.6 KiB |  00m00s
[  2/169] cpio-0:2.15-6.fc43.x86_64     100% |  47.7 MiB/s | 293.1 KiB |  00m00s
[  3/169] coreutils-0:9.7-5.fc43.x86_64 100% |  60.0 MiB/s |   1.1 MiB |  00m00s
[  4/169] bash-0:5.3.0-2.fc43.x86_64    100% |  85.0 MiB/s |   1.9 MiB |  00m00s
[  5/169] diffutils-0:3.12-3.fc43.x86_6 100% |  95.8 MiB/s | 392.3 KiB |  00m00s
[  6/169] fedora-release-common-0:43-0. 100% |   8.1 MiB/s |  25.0 KiB |  00m00s
[  7/169] findutils-1:4.10.0-6.fc43.x86 100% | 134.3 MiB/s | 550.0 KiB |  00m00s
[  8/169] glibc-minimal-langpack-0:2.42 100% |   9.3 MiB/s |  38.3 KiB |  00m00s
[  9/169] grep-0:3.12-2.fc43.x86_64     100% |  73.0 MiB/s | 299.1 KiB |  00m00s
[ 10/169] gzip-0:1.13-4.fc43.x86_64     100% |  55.4 MiB/s | 170.1 KiB |  00m00s
[ 11/169] info-0:7.2-6.fc43.x86_64      100% |  44.6 MiB/s | 182.9 KiB |  00m00s
[ 12/169] patch-0:2.8-2.fc43.x86_64     100% |  27.8 MiB/s | 113.8 KiB |  00m00s
[ 13/169] redhat-rpm-config-0:343-11.fc 100% |  38.6 MiB/s |  79.1 KiB |  00m00s
[ 14/169] sed-0:4.9-5.fc43.x86_64       100% | 154.8 MiB/s | 317.1 KiB |  00m00s
[ 15/169] shadow-utils-2:4.18.0-3.fc43. 100% | 256.5 MiB/s |   1.3 MiB |  00m00s
[ 16/169] tar-2:1.35-6.fc43.x86_64      100% | 167.3 MiB/s | 856.4 KiB |  00m00s
[ 17/169] unzip-0:6.0-67.fc43.x86_64    100% |  35.9 MiB/s | 183.7 KiB |  00m00s
[ 18/169] which-0:2.23-3.fc43.x86_64    100% |  20.4 MiB/s |  41.7 KiB |  00m00s
[ 19/169] xz-1:5.8.1-2.fc43.x86_64      100% | 279.5 MiB/s | 572.5 KiB |  00m00s
[ 20/169] gawk-0:5.3.2-2.fc43.x86_64    100% | 187.4 MiB/s |   1.1 MiB |  00m00s
[ 21/169] util-linux-0:2.41.1-16.fc43.x 100% | 170.1 MiB/s |   1.2 MiB |  00m00s
[ 22/169] filesystem-0:3.18-50.fc43.x86 100% | 266.7 MiB/s |   1.3 MiB |  00m00s
[ 23/169] ncurses-libs-0:6.5-7.20250614 100% | 162.5 MiB/s | 332.7 KiB |  00m00s
[ 24/169] bzip2-libs-0:1.0.8-21.fc43.x8 100% |  42.1 MiB/s |  43.1 KiB |  00m00s
[ 25/169] glibc-0:2.42-4.fc43.x86_64    100% | 200.4 MiB/s |   2.2 MiB |  00m00s
[ 26/169] gmp-1:6.3.0-4.fc43.x86_64     100% | 103.9 MiB/s | 319.3 KiB |  00m00s
[ 27/169] libacl-0:2.3.2-4.fc43.x86_64  100% |  23.7 MiB/s |  24.3 KiB |  00m00s
[ 28/169] coreutils-common-0:9.7-5.fc43 100% | 210.0 MiB/s |   2.1 MiB |  00m00s
[ 29/169] libattr-0:2.5.2-6.fc43.x86_64 100% |   8.7 MiB/s |  17.9 KiB |  00m00s
[ 30/169] libselinux-0:3.9-4.fc43.x86_6 100% |  95.3 MiB/s |  97.6 KiB |  00m00s
[ 31/169] libcap-0:2.76-3.fc43.x86_64   100% |  42.4 MiB/s |  86.9 KiB |  00m00s
[ 32/169] systemd-libs-0:257.7-1.fc43.x 100% | 154.2 MiB/s | 789.7 KiB |  00m00s
[ 33/169] openssl-libs-1:3.5.1-2.fc43.x 100% | 261.6 MiB/s |   2.6 MiB |  00m00s
[ 34/169] fedora-repos-0:43-0.4.noarch  100% |   2.2 MiB/s |   9.1 KiB |  00m00s
[ 35/169] glibc-common-0:2.42-4.fc43.x8 100% | 105.8 MiB/s | 325.2 KiB |  00m00s
[ 36/169] pcre2-0:10.45-1.fc43.1.x86_64 100% |  85.3 MiB/s | 261.9 KiB |  00m00s
[ 37/169] ansible-srpm-macros-0:1-18.1. 100% |  19.4 MiB/s |  19.9 KiB |  00m00s
[ 38/169] ed-0:1.22.2-1.fc43.x86_64     100% |  40.9 MiB/s |  83.7 KiB |  00m00s
[ 39/169] build-reproducibility-srpm-ma 100% |  11.5 MiB/s |  11.8 KiB |  00m00s
[ 40/169] dwz-0:0.16-2.fc43.x86_64      100% |  66.2 MiB/s | 135.5 KiB |  00m00s
[ 41/169] efi-srpm-macros-0:6-4.fc43.no 100% |  10.9 MiB/s |  22.4 KiB |  00m00s
[ 42/169] filesystem-srpm-macros-0:3.18 100% |  25.8 MiB/s |  26.4 KiB |  00m00s
[ 43/169] file-0:5.46-7.fc43.x86_64     100% |  23.8 MiB/s |  48.7 KiB |  00m00s
[ 44/169] fonts-srpm-macros-1:2.0.5-23. 100% |  13.3 MiB/s |  27.2 KiB |  00m00s
[ 45/169] forge-srpm-macros-0:0.4.0-3.f 100% |   9.8 MiB/s |  20.1 KiB |  00m00s
[ 46/169] fpc-srpm-macros-0:1.3-15.fc43 100% |   7.7 MiB/s |   7.9 KiB |  00m00s
[ 47/169] gap-srpm-macros-0:1-1.fc43.no 100% |   8.4 MiB/s |   8.6 KiB |  00m00s
[ 48/169] ghc-srpm-macros-0:1.9.2-3.fc4 100% |   8.5 MiB/s |   8.7 KiB |  00m00s
[ 49/169] gnat-srpm-macros-0:6-8.fc43.n 100% |   8.3 MiB/s |   8.5 KiB |  00m00s
[ 50/169] java-srpm-macros-0:1-7.fc43.n 100% |   7.8 MiB/s |   7.9 KiB |  00m00s
[ 51/169] go-srpm-macros-0:3.7.0-4.fc43 100% |  13.7 MiB/s |  28.1 KiB |  00m00s
[ 52/169] lua-srpm-macros-0:1-16.fc43.n 100% |   8.6 MiB/s |   8.8 KiB |  00m00s
[ 53/169] kernel-srpm-macros-0:1.0-27.f 100% |   8.7 MiB/s |   8.9 KiB |  00m00s
[ 54/169] openblas-srpm-macros-0:2-20.f 100% |   7.4 MiB/s |   7.6 KiB |  00m00s
[ 55/169] ocaml-srpm-macros-0:11-2.fc43 100% |   4.5 MiB/s |   9.3 KiB |  00m00s
[ 56/169] package-notes-srpm-macros-0:0 100% |   8.8 MiB/s |   9.0 KiB |  00m00s
[ 57/169] perl-srpm-macros-0:1-60.fc43. 100% |   8.1 MiB/s |   8.3 KiB |  00m00s
[ 58/169] pyproject-srpm-macros-0:1.18. 100% |  13.1 MiB/s |  13.4 KiB |  00m00s
[ 59/169] python-srpm-macros-0:3.14-5.f 100% |  22.8 MiB/s |  23.4 KiB |  00m00s
[ 60/169] qt5-srpm-macros-0:5.15.17-2.f 100% |   8.5 MiB/s |   8.7 KiB |  00m00s
[ 61/169] qt6-srpm-macros-0:6.9.1-2.fc4 100% |   9.1 MiB/s |   9.3 KiB |  00m00s
[ 62/169] rust-srpm-macros-0:26.4-1.fc4 100% |  10.9 MiB/s |  11.1 KiB |  00m00s
[ 63/169] tree-sitter-srpm-macros-0:0.4 100% |  13.0 MiB/s |  13.4 KiB |  00m00s
[ 64/169] zig-srpm-macros-0:1-5.fc43.no 100% |   8.2 MiB/s |   8.4 KiB |  00m00s
[ 65/169] audit-libs-0:4.1.1-2.fc43.x86 100% | 135.2 MiB/s | 138.5 KiB |  00m00s
[ 66/169] zip-0:3.0-44.fc43.x86_64      100% | 127.7 MiB/s | 261.6 KiB |  00m00s
[ 67/169] libeconf-0:0.7.9-2.fc43.x86_6 100% |  34.4 MiB/s |  35.2 KiB |  00m00s
[ 68/169] libsemanage-0:3.9-3.fc43.x86_ 100% |  60.3 MiB/s | 123.5 KiB |  00m00s
[ 69/169] libxcrypt-0:4.4.38-8.fc43.x86 100% |  41.3 MiB/s | 127.0 KiB |  00m00s
[ 70/169] pam-libs-0:1.7.1-3.fc43.x86_6 100% |  56.2 MiB/s |  57.5 KiB |  00m00s
[ 71/169] xz-libs-1:5.8.1-2.fc43.x86_64 100% | 110.3 MiB/s | 112.9 KiB |  00m00s
[ 72/169] setup-0:2.15.0-26.fc43.noarch 100% |  51.2 MiB/s | 157.3 KiB |  00m00s
[ 73/169] mpfr-0:4.2.2-2.fc43.x86_64    100% | 112.9 MiB/s | 347.0 KiB |  00m00s
[ 74/169] readline-0:8.3-2.fc43.x86_64  100% |  73.1 MiB/s | 224.6 KiB |  00m00s
[ 75/169] debugedit-0:5.2-2.fc43.x86_64 100% |  39.3 MiB/s |  80.6 KiB |  00m00s
[ 76/169] elfutils-0:0.193-3.fc43.x86_6 100% | 186.0 MiB/s | 571.3 KiB |  00m00s
[ 77/169] elfutils-libelf-0:0.193-3.fc4 100% | 101.4 MiB/s | 207.8 KiB |  00m00s
[ 78/169] libarchive-0:3.8.1-3.fc43.x86 100% | 137.1 MiB/s | 421.1 KiB |  00m00s
[ 79/169] libgcc-0:15.2.1-1.fc43.1.x86_ 100% |  64.4 MiB/s | 131.8 KiB |  00m00s
[ 80/169] libstdc++-0:15.2.1-1.fc43.1.x 100% | 299.1 MiB/s | 919.0 KiB |  00m00s
[ 81/169] popt-0:1.19-9.fc43.x86_64     100% |  64.2 MiB/s |  65.7 KiB |  00m00s
[ 82/169] zstd-0:1.5.7-2.fc43.x86_64    100% | 158.2 MiB/s | 485.9 KiB |  00m00s
[ 83/169] libblkid-0:2.41.1-16.fc43.x86 100% |  60.1 MiB/s | 123.1 KiB |  00m00s
[ 84/169] libcap-ng-0:0.8.5-7.fc43.x86_ 100% |  31.4 MiB/s |  32.2 KiB |  00m00s
[ 85/169] libfdisk-0:2.41.1-16.fc43.x86 100% |  78.7 MiB/s | 161.1 KiB |  00m00s
[ 86/169] liblastlog2-0:2.41.1-16.fc43. 100% |  22.6 MiB/s |  23.2 KiB |  00m00s
[ 87/169] libmount-0:2.41.1-16.fc43.x86 100% |  79.3 MiB/s | 162.4 KiB |  00m00s
[ 88/169] libsmartcols-0:2.41.1-16.fc43 100% |  41.0 MiB/s |  84.0 KiB |  00m00s
[ 89/169] libuuid-0:2.41.1-16.fc43.x86_ 100% |  25.4 MiB/s |  26.0 KiB |  00m00s
[ 90/169] util-linux-core-0:2.41.1-16.f 100% | 134.5 MiB/s | 550.9 KiB |  00m00s
[ 91/169] zlib-ng-compat-0:2.2.5-1.fc43 100% |  38.7 MiB/s |  79.2 KiB |  00m00s
[ 92/169] glibc-gconv-extra-0:2.42-4.fc 100% | 264.2 MiB/s |   1.6 MiB |  00m00s
[ 93/169] ncurses-base-0:6.5-7.20250614 100% |  43.1 MiB/s |  88.2 KiB |  00m00s
[ 94/169] libsepol-0:3.9-2.fc43.x86_64  100% | 168.6 MiB/s | 345.4 KiB |  00m00s
[ 95/169] ca-certificates-0:2025.2.80_v 100% | 317.0 MiB/s | 973.9 KiB |  00m00s
[ 96/169] crypto-policies-0:20250714-4. 100% |  48.0 MiB/s |  98.3 KiB |  00m00s
[ 97/169] fedora-gpg-keys-0:43-0.4.noar 100% |  67.8 MiB/s | 138.8 KiB |  00m00s
[ 98/169] pcre2-syntax-0:10.45-1.fc43.1 100% |  79.0 MiB/s | 161.7 KiB |  00m00s
[ 99/169] add-determinism-0:0.6.0-2.fc4 100% | 224.4 MiB/s | 919.3 KiB |  00m00s
[100/169] file-libs-0:5.46-7.fc43.x86_6 100% | 276.7 MiB/s | 849.9 KiB |  00m00s
[101/169] curl-0:8.15.0-2.fc43.x86_64   100% |  76.1 MiB/s | 233.7 KiB |  00m00s
[102/169] elfutils-libs-0:0.193-3.fc43. 100% | 131.7 MiB/s | 269.7 KiB |  00m00s
[103/169] elfutils-debuginfod-client-0: 100% |  45.7 MiB/s |  46.8 KiB |  00m00s
[104/169] libzstd-0:1.5.7-2.fc43.x86_64 100% | 153.6 MiB/s | 314.6 KiB |  00m00s
[105/169] libxml2-0:2.12.10-4.fc43.x86_ 100% | 225.4 MiB/s | 692.5 KiB |  00m00s
[106/169] lz4-libs-0:1.10.0-3.fc43.x86_ 100% |  38.1 MiB/s |  78.0 KiB |  00m00s
[107/169] sqlite-libs-0:3.50.2-2.fc43.x 100% | 148.5 MiB/s | 760.5 KiB |  00m00s
[108/169] elfutils-default-yama-scope-0 100% |  12.1 MiB/s |  12.4 KiB |  00m00s
[109/169] rpm-build-0:5.99.92-1.fc43.x8 100% | 701.1 KiB/s | 128.3 KiB |  00m00s
[110/169] json-c-0:0.18-7.fc43.x86_64   100% |  43.9 MiB/s |  45.0 KiB |  00m00s
[111/169] rpm-build-libs-0:5.99.92-1.fc 100% |   2.3 MiB/s | 128.3 KiB |  00m00s
[112/169] lua-libs-0:5.4.8-2.fc43.x86_6 100% |  64.3 MiB/s | 131.7 KiB |  00m00s
[113/169] rpm-sequoia-0:1.9.0-2.fc43.x8 100% | 303.8 MiB/s | 933.3 KiB |  00m00s
[114/169] rpm-0:5.99.92-1.fc43.x86_64   100% |   2.8 MiB/s | 535.5 KiB |  00m00s
[115/169] libgomp-0:15.2.1-1.fc43.1.x86 100% | 121.0 MiB/s | 371.6 KiB |  00m00s
[116/169] gnupg2-0:2.4.8-4.fc43.x86_64  100% | 274.1 MiB/s |   1.6 MiB |  00m00s
[117/169] ima-evm-utils-libs-0:1.6.2-6. 100% |  28.6 MiB/s |  29.3 KiB |  00m00s
[118/169] libfsverity-0:1.6-3.fc43.x86_ 100% |  18.2 MiB/s |  18.6 KiB |  00m00s
[119/169] gpgverify-0:2.2-3.fc43.noarch 100% |  10.8 MiB/s |  11.1 KiB |  00m00s
[120/169] gnupg2-dirmngr-0:2.4.8-4.fc43 100% |  89.4 MiB/s | 274.6 KiB |  00m00s
[121/169] gnupg2-gpg-agent-0:2.4.8-4.fc 100% | 133.2 MiB/s | 272.9 KiB |  00m00s
[122/169] gnupg2-gpgconf-0:2.4.8-4.fc43 100% |  56.1 MiB/s | 115.0 KiB |  00m00s
[123/169] gnupg2-keyboxd-0:2.4.8-4.fc43 100% |  92.5 MiB/s |  94.7 KiB |  00m00s
[124/169] gnupg2-verify-0:2.4.8-4.fc43. 100% |  83.6 MiB/s | 171.2 KiB |  00m00s
[125/169] libassuan-0:2.5.7-4.fc43.x86_ 100% |  32.9 MiB/s |  67.4 KiB |  00m00s
[126/169] libgcrypt-0:1.11.1-2.fc43.x86 100% | 290.9 MiB/s | 595.8 KiB |  00m00s
[127/169] libgpg-error-0:1.55-2.fc43.x8 100% | 119.3 MiB/s | 244.3 KiB |  00m00s
[128/169] npth-0:1.8-3.fc43.x86_64      100% |  25.1 MiB/s |  25.7 KiB |  00m00s
[129/169] tpm2-tss-0:4.1.3-8.fc43.x86_6 100% | 138.6 MiB/s | 425.9 KiB |  00m00s
[130/169] gnutls-0:3.8.10-3.fc43.x86_64 100% | 280.5 MiB/s |   1.4 MiB |  00m00s
[131/169] libksba-0:1.6.7-4.fc43.x86_64 100% |  78.3 MiB/s | 160.4 KiB |  00m00s
[132/169] openldap-0:2.6.10-3.fc43.x86_ 100% | 126.5 MiB/s | 259.1 KiB |  00m00s
[133/169] libusb1-0:1.0.29-3.fc43.x86_6 100% |  38.9 MiB/s |  79.7 KiB |  00m00s
[134/169] libidn2-0:2.3.8-2.fc43.x86_64 100% |  85.4 MiB/s | 174.9 KiB |  00m00s
[135/169] libtasn1-0:4.20.0-2.fc43.x86_ 100% |  36.4 MiB/s |  74.5 KiB |  00m00s
[136/169] rpm-libs-0:5.99.92-1.fc43.x86 100% |   2.7 MiB/s | 400.5 KiB |  00m00s
[137/169] nettle-0:3.10.1-2.fc43.x86_64 100% | 103.6 MiB/s | 424.2 KiB |  00m00s
[138/169] libunistring-0:1.1-10.fc43.x8 100% | 106.0 MiB/s | 542.9 KiB |  00m00s
[139/169] p11-kit-0:0.25.5-9.fc43.x86_6 100% | 158.9 MiB/s | 488.1 KiB |  00m00s
[140/169] rpm-sign-libs-0:5.99.92-1.fc4 100% | 312.0 KiB/s |  28.7 KiB |  00m00s
[141/169] cyrus-sasl-lib-0:2.1.28-33.fc 100% | 153.9 MiB/s | 787.9 KiB |  00m00s
[142/169] libevent-0:2.1.12-16.fc43.x86 100% |  42.0 MiB/s | 257.8 KiB |  00m00s
[143/169] libtool-ltdl-0:2.5.4-7.fc43.x 100% |  11.8 MiB/s |  36.2 KiB |  00m00s
[144/169] libffi-0:3.5.1-2.fc43.x86_64  100% |   8.0 MiB/s |  40.9 KiB |  00m00s
[145/169] gdbm-libs-1:1.23-10.fc43.x86_ 100% |  27.7 MiB/s |  56.8 KiB |  00m00s
[146/169] p11-kit-trust-0:0.25.5-9.fc43 100% |  25.8 MiB/s | 132.3 KiB |  00m00s
[147/169] alternatives-0:1.33-2.fc43.x8 100% |  13.2 MiB/s |  40.7 KiB |  00m00s
[148/169] pkgconf-pkg-config-0:2.3.0-3. 100% |   4.7 MiB/s |   9.6 KiB |  00m00s
[149/169] jansson-0:2.14-3.fc43.x86_64  100% |  11.1 MiB/s |  45.3 KiB |  00m00s
[150/169] pkgconf-m4-0:2.3.0-3.fc43.noa 100% |   2.7 MiB/s |  13.9 KiB |  00m00s
[151/169] pkgconf-0:2.3.0-3.fc43.x86_64 100% |   6.2 MiB/s |  44.6 KiB |  00m00s
[152/169] libpkgconf-0:2.3.0-3.fc43.x86 100% |   7.4 MiB/s |  37.9 KiB |  00m00s
[153/169] fedora-release-0:43-0.22.noar 100% |   2.3 MiB/s |  14.0 KiB |  00m00s
[154/169] fedora-release-identity-basic 100% |   2.9 MiB/s |  14.7 KiB |  00m00s
[155/169] libcurl-0:8.15.0-2.fc43.x86_6 100% |  56.4 MiB/s | 404.3 KiB |  00m00s
[156/169] libbrotli-0:1.1.0-9.fc43.x86_ 100% |  83.0 MiB/s | 339.9 KiB |  00m00s
[157/169] krb5-libs-0:1.21.3-7.fc43.x86 100% |  74.1 MiB/s | 758.9 KiB |  00m00s
[158/169] binutils-0:2.45-1.fc43.x86_64 100% | 146.8 MiB/s |   5.9 MiB |  00m00s
[159/169] libnghttp2-0:1.66.0-2.fc43.x8 100% |   7.1 MiB/s |  72.5 KiB |  00m00s
[160/169] libpsl-0:0.21.5-6.fc43.x86_64 100% |   9.1 MiB/s |  65.0 KiB |  00m00s
[161/169] libcom_err-0:1.47.3-2.fc43.x8 100% |  13.1 MiB/s |  26.8 KiB |  00m00s
[162/169] keyutils-libs-0:1.6.3-6.fc43. 100% |  10.2 MiB/s |  31.4 KiB |  00m00s
[163/169] libssh-0:0.11.2-2.fc43.x86_64 100% |  37.9 MiB/s | 232.7 KiB |  00m00s
[164/169] libverto-0:0.3.2-11.fc43.x86_ 100% |  10.1 MiB/s |  20.7 KiB |  00m00s
[165/169] publicsuffix-list-dafsa-0:202 100% |  28.9 MiB/s |  59.2 KiB |  00m00s
[166/169] libssh-config-0:0.11.2-2.fc43 100% |   8.6 MiB/s |   8.9 KiB |  00m00s
[167/169] xxhash-libs-0:0.8.3-3.fc43.x8 100% |  18.8 MiB/s |  38.5 KiB |  00m00s
[168/169] systemd-standalone-sysusers-0 100% |  65.8 MiB/s | 134.8 KiB |  00m00s
[169/169] gdb-minimal-0:16.3-5.fc43.x86 100% | 259.2 MiB/s |   4.4 MiB |  00m00s
--------------------------------------------------------------------------------
[169/169] Total                         100% | 129.0 MiB/s |  58.8 MiB |  00m00s
Running transaction
Importing OpenPGP key 0x31645531:
 UserID     : "Fedora (43) <fedora-43-primary@fedoraproject.org>"
 Fingerprint: C6E7F081CF80E13146676E88829B606631645531
 From       : file:///usr/share/distribution-gpg-keys/fedora/RPM-GPG-KEY-fedora-43-primary
The key was successfully imported.
[  1/171] Verify package files          100% | 789.0   B/s | 169.0   B |  00m00s
>>> Running %pretrans scriptlet: filesystem-0:3.18-50.fc43.x86_64               
>>> Finished %pretrans scriptlet: filesystem-0:3.18-50.fc43.x86_64              
>>> [RPM] /var/lib/mock/fedora-43-x86_64-1756533364.707914/root/var/cache/dnf/co
[  2/171] Prepare transaction           100% |   4.1 KiB/s | 169.0   B |  00m00s
[  3/171] Installing libgcc-0:15.2.1-1. 100% | 262.0 MiB/s | 268.3 KiB |  00m00s
[  4/171] Installing libssh-config-0:0. 100% |   0.0   B/s | 816.0   B |  00m00s
[  5/171] Installing publicsuffix-list- 100% |   0.0   B/s |  69.8 KiB |  00m00s
[  6/171] Installing fedora-release-ide 100% |   0.0   B/s | 916.0   B |  00m00s
[  7/171] Installing fedora-gpg-keys-0: 100% |  58.3 MiB/s | 179.0 KiB |  00m00s
[  8/171] Installing fedora-repos-0:43- 100% |   0.0   B/s |   5.7 KiB |  00m00s
[  9/171] Installing fedora-release-com 100% |  24.2 MiB/s |  24.7 KiB |  00m00s
[ 10/171] Installing fedora-release-0:4 100% |  17.3 KiB/s | 124.0   B |  00m00s
>>> Running sysusers scriptlet: setup-0:2.15.0-26.fc43.noarch                   
>>> Finished sysusers scriptlet: setup-0:2.15.0-26.fc43.noarch                  
>>> Scriptlet output:                                                           
>>> Creating group 'adm' with GID 4.                                            
>>> Creating group 'audio' with GID 63.                                         
>>> Creating group 'cdrom' with GID 11.                                         
>>> Creating group 'clock' with GID 103.                                        
>>> Creating group 'dialout' with GID 18.                                       
>>> Creating group 'disk' with GID 6.                                           
>>> Creating group 'floppy' with GID 19.                                        
>>> Creating group 'ftp' with GID 50.                                           
>>> Creating group 'games' with GID 20.                                         
>>> Creating group 'input' with GID 104.                                        
>>> Creating group 'kmem' with GID 9.                                           
>>> Creating group 'kvm' with GID 36.                                           
>>> Creating group 'lock' with GID 54.                                          
>>> Creating group 'lp' with GID 7.                                             
>>> Creating group 'mail' with GID 12.                                          
>>> Creating group 'man' with GID 15.                                           
>>> Creating group 'mem' with GID 8.                                            
>>> Creating group 'nobody' with GID 65534.                                     
>>> Creating group 'render' with GID 105.                                       
>>> Creating group 'root' with GID 0.                                           
>>> Creating group 'sgx' with GID 106.                                          
>>> Creating group 'sys' with GID 3.                                            
>>> Creating group 'tape' with GID 33.                                          
>>> Creating group 'tty' with GID 5.                                            
>>> Creating group 'users' with GID 100.                                        
>>> Creating group 'utmp' with GID 22.                                          
>>> Creating group 'video' with GID 39.                                         
>>> Creating group 'wheel' with GID 10.                                         
>>> Creating user 'adm' (adm) with UID 3 and GID 4.                             
>>> Creating group 'bin' with GID 1.                                            
>>> Creating user 'bin' (bin) with UID 1 and GID 1.                             
>>> Creating group 'daemon' with GID 2.                                         
>>> Creating user 'daemon' (daemon) with UID 2 and GID 2.                       
>>> Creating user 'ftp' (FTP User) with UID 14 and GID 50.                      
>>> Creating user 'games' (games) with UID 12 and GID 100.                      
>>> Creating user 'halt' (halt) with UID 7 and GID 0.                           
>>> Creating user 'lp' (lp) with UID 4 and GID 7.                               
>>> Creating user 'mail' (mail) with UID 8 and GID 12.                          
>>> Creating user 'nobody' (Kernel Overflow User) with UID 65534 and GID 65534. 
>>> Creating user 'operator' (operator) with UID 11 and GID 0.                  
>>> Creating user 'root' (Super User) with UID 0 and GID 0.                     
>>> Creating user 'shutdown' (shutdown) with UID 6 and GID 0.                   
>>> Creating user 'sync' (sync) with UID 5 and GID 0.                           
>>>                                                                             
[ 11/171] Installing setup-0:2.15.0-26. 100% |  54.9 MiB/s | 730.6 KiB |  00m00s
>>> [RPM] /etc/hosts created as /etc/hosts.rpmnew                               
[ 12/171] Installing filesystem-0:3.18- 100% |   3.0 MiB/s | 212.8 KiB |  00m00s
[ 13/171] Installing pkgconf-m4-0:2.3.0 100% |   0.0   B/s |  14.8 KiB |  00m00s
[ 14/171] Installing pcre2-syntax-0:10. 100% | 269.9 MiB/s | 276.4 KiB |  00m00s
[ 15/171] Installing ncurses-base-0:6.5 100% |  86.3 MiB/s | 353.5 KiB |  00m00s
[ 16/171] Installing bash-0:5.3.0-2.fc4 100% | 290.7 MiB/s |   8.4 MiB |  00m00s
[ 17/171] Installing glibc-common-0:2.4 100% |  68.0 MiB/s |   1.0 MiB |  00m00s
[ 18/171] Installing glibc-gconv-extra- 100% | 304.6 MiB/s |   7.3 MiB |  00m00s
[ 19/171] Installing glibc-0:2.42-4.fc4 100% | 197.2 MiB/s |   6.7 MiB |  00m00s
[ 20/171] Installing ncurses-libs-0:6.5 100% | 310.1 MiB/s | 952.8 KiB |  00m00s
[ 21/171] Installing glibc-minimal-lang 100% |   0.0   B/s | 124.0   B |  00m00s
[ 22/171] Installing zlib-ng-compat-0:2 100% | 135.2 MiB/s | 138.4 KiB |  00m00s
[ 23/171] Installing bzip2-libs-0:1.0.8 100% |   0.0   B/s |  81.7 KiB |  00m00s
[ 24/171] Installing libgpg-error-0:1.5 100% |  64.3 MiB/s | 921.1 KiB |  00m00s
[ 25/171] Installing libstdc++-0:15.2.1 100% | 406.3 MiB/s |   2.8 MiB |  00m00s
[ 26/171] Installing xz-libs-1:5.8.1-2. 100% | 213.8 MiB/s | 218.9 KiB |  00m00s
[ 27/171] Installing libassuan-0:2.5.7- 100% | 161.7 MiB/s | 165.6 KiB |  00m00s
[ 28/171] Installing libgcrypt-0:1.11.1 100% | 393.8 MiB/s |   1.6 MiB |  00m00s
[ 29/171] Installing readline-0:8.3-2.f 100% | 501.8 MiB/s | 513.9 KiB |  00m00s
[ 30/171] Installing gmp-1:6.3.0-4.fc43 100% | 397.2 MiB/s | 813.5 KiB |  00m00s
[ 31/171] Installing libuuid-0:2.41.1-1 100% |   0.0   B/s |  38.3 KiB |  00m00s
[ 32/171] Installing popt-0:1.19-9.fc43 100% |  68.1 MiB/s | 139.4 KiB |  00m00s
[ 33/171] Installing npth-0:1.8-3.fc43. 100% |   0.0   B/s |  50.7 KiB |  00m00s
[ 34/171] Installing libblkid-0:2.41.1- 100% | 257.4 MiB/s | 263.5 KiB |  00m00s
[ 35/171] Installing libxcrypt-0:4.4.38 100% | 280.4 MiB/s | 287.2 KiB |  00m00s
[ 36/171] Installing libzstd-0:1.5.7-2. 100% | 391.2 MiB/s | 801.1 KiB |  00m00s
[ 37/171] Installing elfutils-libelf-0: 100% | 388.8 MiB/s |   1.2 MiB |  00m00s
[ 38/171] Installing sqlite-libs-0:3.50 100% | 379.1 MiB/s |   1.5 MiB |  00m00s
[ 39/171] Installing gnupg2-gpgconf-0:2 100% |  22.4 MiB/s | 252.0 KiB |  00m00s
[ 40/171] Installing libattr-0:2.5.2-6. 100% |   0.0   B/s |  25.4 KiB |  00m00s
[ 41/171] Installing libacl-0:2.3.2-4.f 100% |   0.0   B/s |  36.8 KiB |  00m00s
[ 42/171] Installing libtasn1-0:4.20.0- 100% | 173.9 MiB/s | 178.1 KiB |  00m00s
[ 43/171] Installing libunistring-0:1.1 100% | 431.7 MiB/s |   1.7 MiB |  00m00s
[ 44/171] Installing libidn2-0:2.3.8-2. 100% |  68.2 MiB/s | 558.7 KiB |  00m00s
[ 45/171] Installing crypto-policies-0: 100% |  42.0 MiB/s | 172.0 KiB |  00m00s
[ 46/171] Installing dwz-0:0.16-2.fc43. 100% |  21.7 MiB/s | 288.5 KiB |  00m00s
[ 47/171] Installing gnupg2-verify-0:2. 100% |  28.5 MiB/s | 349.9 KiB |  00m00s
[ 48/171] Installing mpfr-0:4.2.2-2.fc4 100% | 271.6 MiB/s | 834.4 KiB |  00m00s
[ 49/171] Installing gawk-0:5.3.2-2.fc4 100% | 106.8 MiB/s |   1.8 MiB |  00m00s
[ 50/171] Installing libksba-0:1.6.7-4. 100% | 391.7 MiB/s | 401.1 KiB |  00m00s
[ 51/171] Installing unzip-0:6.0-67.fc4 100% |  31.7 MiB/s | 389.8 KiB |  00m00s
[ 52/171] Installing file-libs-0:5.46-7 100% | 741.1 MiB/s |  11.9 MiB |  00m00s
[ 53/171] Installing file-0:5.46-7.fc43 100% |   9.0 MiB/s | 101.7 KiB |  00m00s
[ 54/171] Installing pcre2-0:10.45-1.fc 100% | 341.4 MiB/s | 699.1 KiB |  00m00s
[ 55/171] Installing grep-0:3.12-2.fc43 100% |  66.8 MiB/s |   1.0 MiB |  00m00s
[ 56/171] Installing xz-1:5.8.1-2.fc43. 100% |  88.8 MiB/s |   1.3 MiB |  00m00s
[ 57/171] Installing libeconf-0:0.7.9-2 100% |  65.0 MiB/s |  66.5 KiB |  00m00s
[ 58/171] Installing libcap-ng-0:0.8.5- 100% |   0.0   B/s |  70.8 KiB |  00m00s
[ 59/171] Installing audit-libs-0:4.1.1 100% | 372.6 MiB/s | 381.5 KiB |  00m00s
[ 60/171] Installing pam-libs-0:1.7.1-3 100% | 126.0 MiB/s | 129.0 KiB |  00m00s
[ 61/171] Installing libcap-0:2.76-3.fc 100% |  17.4 MiB/s | 214.3 KiB |  00m00s
[ 62/171] Installing systemd-libs-0:257 100% | 372.0 MiB/s |   2.2 MiB |  00m00s
[ 63/171] Installing libsmartcols-0:2.4 100% | 177.3 MiB/s | 181.6 KiB |  00m00s
[ 64/171] Installing libsepol-0:3.9-2.f 100% | 401.8 MiB/s | 822.9 KiB |  00m00s
[ 65/171] Installing libselinux-0:3.9-4 100% | 189.8 MiB/s | 194.4 KiB |  00m00s
[ 66/171] Installing findutils-1:4.10.0 100% | 116.1 MiB/s |   1.9 MiB |  00m00s
[ 67/171] Installing sed-0:4.9-5.fc43.x 100% |  60.4 MiB/s | 865.5 KiB |  00m00s
[ 68/171] Installing libmount-0:2.41.1- 100% | 364.9 MiB/s | 373.7 KiB |  00m00s
[ 69/171] Installing lz4-libs-0:1.10.0- 100% | 158.6 MiB/s | 162.5 KiB |  00m00s
[ 70/171] Installing json-c-0:0.18-7.fc 100% |  82.0 MiB/s |  84.0 KiB |  00m00s
[ 71/171] Installing lua-libs-0:5.4.8-2 100% | 275.3 MiB/s | 281.9 KiB |  00m00s
[ 72/171] Installing libffi-0:3.5.1-2.f 100% |  83.0 MiB/s |  85.0 KiB |  00m00s
[ 73/171] Installing p11-kit-0:0.25.5-9 100% | 121.4 MiB/s |   2.2 MiB |  00m00s
[ 74/171] Installing alternatives-0:1.3 100% |   5.7 MiB/s |  63.8 KiB |  00m00s
[ 75/171] Installing p11-kit-trust-0:0. 100% |  20.4 MiB/s | 397.1 KiB |  00m00s
[ 76/171] Installing zstd-0:1.5.7-2.fc4 100% | 114.0 MiB/s |   1.7 MiB |  00m00s
[ 77/171] Installing util-linux-core-0: 100% |  87.0 MiB/s |   1.5 MiB |  00m00s
[ 78/171] Installing tar-2:1.35-6.fc43. 100% | 164.3 MiB/s |   3.0 MiB |  00m00s
[ 79/171] Installing libsemanage-0:3.9- 100% | 303.0 MiB/s | 310.3 KiB |  00m00s
[ 80/171] Installing systemd-standalone 100% |  24.7 MiB/s | 277.8 KiB |  00m00s
[ 81/171] Installing libusb1-0:1.0.29-3 100% | 168.9 MiB/s | 172.9 KiB |  00m00s
[ 82/171] Installing zip-0:3.0-44.fc43. 100% |  56.8 MiB/s | 698.4 KiB |  00m00s
[ 83/171] Installing gnupg2-keyboxd-0:2 100% |  33.0 MiB/s | 202.7 KiB |  00m00s
[ 84/171] Installing libpsl-0:0.21.5-6. 100% |  75.7 MiB/s |  77.5 KiB |  00m00s
[ 85/171] Installing liblastlog2-0:2.41 100% |   7.0 MiB/s |  36.0 KiB |  00m00s
[ 86/171] Installing libfdisk-0:2.41.1- 100% | 186.3 MiB/s | 381.5 KiB |  00m00s
[ 87/171] Installing nettle-0:3.10.1-2. 100% | 258.4 MiB/s | 793.7 KiB |  00m00s
[ 88/171] Installing gnutls-0:3.8.10-3. 100% | 383.9 MiB/s |   3.8 MiB |  00m00s
[ 89/171] Installing libxml2-0:2.12.10- 100% | 106.5 MiB/s |   1.7 MiB |  00m00s
[ 90/171] Installing bzip2-0:1.0.8-21.f 100% |   8.1 MiB/s |  99.8 KiB |  00m00s
[ 91/171] Installing add-determinism-0: 100% | 143.7 MiB/s |   2.4 MiB |  00m00s
[ 92/171] Installing build-reproducibil 100% |   0.0   B/s |   1.0 KiB |  00m00s
[ 93/171] Installing cpio-0:2.15-6.fc43 100% |  78.5 MiB/s |   1.1 MiB |  00m00s
[ 94/171] Installing diffutils-0:3.12-3 100% | 104.1 MiB/s |   1.6 MiB |  00m00s
[ 95/171] Installing ed-0:1.22.2-1.fc43 100% |  13.3 MiB/s | 150.4 KiB |  00m00s
[ 96/171] Installing patch-0:2.8-2.fc43 100% |  18.3 MiB/s | 224.3 KiB |  00m00s
[ 97/171] Installing libgomp-0:15.2.1-1 100% | 264.8 MiB/s | 542.4 KiB |  00m00s
[ 98/171] Installing libtool-ltdl-0:2.5 100% |  69.6 MiB/s |  71.2 KiB |  00m00s
[ 99/171] Installing gdbm-libs-1:1.23-1 100% | 128.5 MiB/s | 131.6 KiB |  00m00s
[100/171] Installing cyrus-sasl-lib-0:2 100% | 143.5 MiB/s |   2.3 MiB |  00m00s
[101/171] Installing jansson-0:2.14-3.f 100% |  88.3 MiB/s |  90.5 KiB |  00m00s
[102/171] Installing libpkgconf-0:2.3.0 100% |  77.4 MiB/s |  79.2 KiB |  00m00s
[103/171] Installing pkgconf-0:2.3.0-3. 100% |   8.1 MiB/s |  91.0 KiB |  00m00s
[104/171] Installing pkgconf-pkg-config 100% | 161.2 KiB/s |   1.8 KiB |  00m00s
[105/171] Installing libbrotli-0:1.1.0- 100% | 272.0 MiB/s | 835.6 KiB |  00m00s
[106/171] Installing libnghttp2-0:1.66. 100% | 159.5 MiB/s | 163.3 KiB |  00m00s
[107/171] Installing keyutils-libs-0:1. 100% |   0.0   B/s |  55.7 KiB |  00m00s
[108/171] Installing libcom_err-0:1.47. 100% |   0.0   B/s |  64.2 KiB |  00m00s
[109/171] Installing libverto-0:0.3.2-1 100% |   0.0   B/s |  27.2 KiB |  00m00s
[110/171] Installing xxhash-libs-0:0.8. 100% |   0.0   B/s |  91.6 KiB |  00m00s
[111/171] Installing filesystem-srpm-ma 100% |   0.0   B/s |  38.9 KiB |  00m00s
[112/171] Installing elfutils-default-y 100% | 408.6 KiB/s |   2.0 KiB |  00m00s
[113/171] Installing elfutils-libs-0:0. 100% | 334.6 MiB/s | 685.2 KiB |  00m00s
[114/171] Installing rust-srpm-macros-0 100% |   0.0   B/s |   5.6 KiB |  00m00s
[115/171] Installing qt6-srpm-macros-0: 100% |   0.0   B/s | 740.0   B |  00m00s
[116/171] Installing qt5-srpm-macros-0: 100% |   0.0   B/s | 776.0   B |  00m00s
[117/171] Installing perl-srpm-macros-0 100% |   0.0   B/s |   1.1 KiB |  00m00s
[118/171] Installing package-notes-srpm 100% |   0.0   B/s |   2.0 KiB |  00m00s
[119/171] Installing openblas-srpm-macr 100% |   0.0   B/s | 392.0   B |  00m00s
[120/171] Installing ocaml-srpm-macros- 100% |   0.0   B/s |   2.1 KiB |  00m00s
[121/171] Installing kernel-srpm-macros 100% |   0.0   B/s |   2.3 KiB |  00m00s
[122/171] Installing gnat-srpm-macros-0 100% |   0.0   B/s |   1.3 KiB |  00m00s
[123/171] Installing ghc-srpm-macros-0: 100% |   0.0   B/s |   1.0 KiB |  00m00s
[124/171] Installing gap-srpm-macros-0: 100% |   0.0   B/s |   2.6 KiB |  00m00s
[125/171] Installing fpc-srpm-macros-0: 100% |   0.0   B/s | 420.0   B |  00m00s
[126/171] Installing ansible-srpm-macro 100% |  35.4 MiB/s |  36.2 KiB |  00m00s
[127/171] Installing coreutils-common-0 100% | 418.2 MiB/s |  11.3 MiB |  00m00s
[128/171] Installing openssl-libs-1:3.5 100% | 445.1 MiB/s |   8.9 MiB |  00m00s
[129/171] Installing coreutils-0:9.7-5. 100% | 170.2 MiB/s |   5.4 MiB |  00m00s
[130/171] Installing ca-certificates-0: 100% |   2.2 MiB/s |   2.5 MiB |  00m01s
[131/171] Installing libarchive-0:3.8.1 100% | 310.2 MiB/s | 953.1 KiB |  00m00s
[132/171] Installing krb5-libs-0:1.21.3 100% | 163.7 MiB/s |   2.3 MiB |  00m00s
>>> Running sysusers scriptlet: tpm2-tss-0:4.1.3-8.fc43.x86_64                  
>>> Finished sysusers scriptlet: tpm2-tss-0:4.1.3-8.fc43.x86_64                 
>>> Scriptlet output:                                                           
>>> Creating group 'tss' with GID 59.                                           
>>> Creating user 'tss' (Account used for TPM access) with UID 59 and GID 59.   
>>>                                                                             
[133/171] Installing tpm2-tss-0:4.1.3-8 100% | 314.4 MiB/s |   1.6 MiB |  00m00s
[134/171] Installing ima-evm-utils-libs 100% |  60.5 MiB/s |  62.0 KiB |  00m00s
[135/171] Installing gnupg2-gpg-agent-0 100% |  33.0 MiB/s | 675.4 KiB |  00m00s
[136/171] Installing libssh-0:0.11.2-2. 100% | 277.7 MiB/s | 568.7 KiB |  00m00s
[137/171] Installing gzip-0:1.13-4.fc43 100% |  32.1 MiB/s | 394.4 KiB |  00m00s
[138/171] Installing rpm-sequoia-0:1.9. 100% | 413.1 MiB/s |   2.5 MiB |  00m00s
[139/171] Installing rpm-libs-0:5.99.92 100% | 304.4 MiB/s | 935.3 KiB |  00m00s
[140/171] Installing libfsverity-0:1.6- 100% |   0.0   B/s |  29.5 KiB |  00m00s
[141/171] Installing libevent-0:2.1.12- 100% | 288.7 MiB/s | 886.8 KiB |  00m00s
[142/171] Installing openldap-0:2.6.10- 100% | 322.1 MiB/s | 659.6 KiB |  00m00s
[143/171] Installing libcurl-0:8.15.0-2 100% | 294.4 MiB/s | 904.3 KiB |  00m00s
[144/171] Installing elfutils-debuginfo 100% |   7.0 MiB/s |  86.2 KiB |  00m00s
[145/171] Installing elfutils-0:0.193-3 100% | 162.1 MiB/s |   2.9 MiB |  00m00s
[146/171] Installing binutils-0:2.45-1. 100% | 349.2 MiB/s |  26.5 MiB |  00m00s
[147/171] Installing gdb-minimal-0:16.3 100% | 308.3 MiB/s |  13.3 MiB |  00m00s
[148/171] Installing debugedit-0:5.2-2. 100% |  16.3 MiB/s | 200.5 KiB |  00m00s
[149/171] Installing curl-0:8.15.0-2.fc 100% |  22.2 MiB/s | 476.3 KiB |  00m00s
[150/171] Installing rpm-0:5.99.92-1.fc 100% |  83.1 MiB/s |   2.5 MiB |  00m00s
[151/171] Installing efi-srpm-macros-0: 100% |  40.2 MiB/s |  41.1 KiB |  00m00s
[152/171] Installing java-srpm-macros-0 100% |   0.0   B/s |   1.1 KiB |  00m00s
[153/171] Installing lua-srpm-macros-0: 100% |   0.0   B/s |   1.9 KiB |  00m00s
[154/171] Installing tree-sitter-srpm-m 100% |   0.0   B/s |   9.3 KiB |  00m00s
[155/171] Installing zig-srpm-macros-0: 100% |   0.0   B/s |   1.7 KiB |  00m00s
[156/171] Installing gnupg2-dirmngr-0:2 100% |  31.9 MiB/s | 621.1 KiB |  00m00s
[157/171] Installing gnupg2-0:2.4.8-4.f 100% | 234.0 MiB/s |   6.6 MiB |  00m00s
[158/171] Installing rpm-sign-libs-0:5. 100% |   0.0   B/s |  40.6 KiB |  00m00s
[159/171] Installing rpm-build-libs-0:5 100% | 266.8 MiB/s | 273.2 KiB |  00m00s
[160/171] Installing gpgverify-0:2.2-3. 100% |   0.0   B/s |   9.4 KiB |  00m00s
[161/171] Installing rpm-build-0:5.99.9 100% |  22.1 MiB/s | 294.4 KiB |  00m00s
[162/171] Installing pyproject-srpm-mac 100% |   2.4 MiB/s |   2.5 KiB |  00m00s
[163/171] Installing redhat-rpm-config- 100% |  92.3 MiB/s | 189.1 KiB |  00m00s
[164/171] Installing forge-srpm-macros- 100% |   0.0   B/s |  40.3 KiB |  00m00s
[165/171] Installing fonts-srpm-macros- 100% |   0.0   B/s |  57.0 KiB |  00m00s
[166/171] Installing go-srpm-macros-0:3 100% |   0.0   B/s |  62.7 KiB |  00m00s
[167/171] Installing python-srpm-macros 100% |   0.0   B/s |  52.8 KiB |  00m00s
[168/171] Installing which-0:2.23-3.fc4 100% |   6.4 MiB/s |  85.7 KiB |  00m00s
[169/171] Installing util-linux-0:2.41. 100% | 105.1 MiB/s |   3.6 MiB |  00m00s
[170/171] Installing shadow-utils-2:4.1 100% | 141.8 MiB/s |   4.0 MiB |  00m00s
[171/171] Installing info-0:7.2-6.fc43. 100% | 240.5 KiB/s | 354.3 KiB |  00m01s
Warning: skipped OpenPGP checks for 5 packages from repository: copr_base
Complete!
Finish: installing minimal buildroot with dnf5
Start: creating root cache
Finish: creating root cache
Finish: chroot init
INFO: Installed packages:
INFO: add-determinism-0.6.0-2.fc43.x86_64
alternatives-1.33-2.fc43.x86_64
ansible-srpm-macros-1-18.1.fc43.noarch
audit-libs-4.1.1-2.fc43.x86_64
bash-5.3.0-2.fc43.x86_64
binutils-2.45-1.fc43.x86_64
build-reproducibility-srpm-macros-0.6.0-2.fc43.noarch
bzip2-1.0.8-21.fc43.x86_64
bzip2-libs-1.0.8-21.fc43.x86_64
ca-certificates-2025.2.80_v9.0.304-1.0.fc43.noarch
coreutils-9.7-5.fc43.x86_64
coreutils-common-9.7-5.fc43.x86_64
cpio-2.15-6.fc43.x86_64
crypto-policies-20250714-4.gitcd6043a.fc43.noarch
curl-8.15.0-2.fc43.x86_64
cyrus-sasl-lib-2.1.28-33.fc43.x86_64
debugedit-5.2-2.fc43.x86_64
diffutils-3.12-3.fc43.x86_64
dwz-0.16-2.fc43.x86_64
ed-1.22.2-1.fc43.x86_64
efi-srpm-macros-6-4.fc43.noarch
elfutils-0.193-3.fc43.x86_64
elfutils-debuginfod-client-0.193-3.fc43.x86_64
elfutils-default-yama-scope-0.193-3.fc43.noarch
elfutils-libelf-0.193-3.fc43.x86_64
elfutils-libs-0.193-3.fc43.x86_64
fedora-gpg-keys-43-0.4.noarch
fedora-release-43-0.22.noarch
fedora-release-common-43-0.22.noarch
fedora-release-identity-basic-43-0.22.noarch
fedora-repos-43-0.4.noarch
file-5.46-7.fc43.x86_64
file-libs-5.46-7.fc43.x86_64
filesystem-3.18-50.fc43.x86_64
filesystem-srpm-macros-3.18-50.fc43.noarch
findutils-4.10.0-6.fc43.x86_64
fonts-srpm-macros-2.0.5-23.fc43.noarch
forge-srpm-macros-0.4.0-3.fc43.noarch
fpc-srpm-macros-1.3-15.fc43.noarch
gap-srpm-macros-1-1.fc43.noarch
gawk-5.3.2-2.fc43.x86_64
gdb-minimal-16.3-5.fc43.x86_64
gdbm-libs-1.23-10.fc43.x86_64
ghc-srpm-macros-1.9.2-3.fc43.noarch
glibc-2.42-4.fc43.x86_64
glibc-common-2.42-4.fc43.x86_64
glibc-gconv-extra-2.42-4.fc43.x86_64
glibc-minimal-langpack-2.42-4.fc43.x86_64
gmp-6.3.0-4.fc43.x86_64
gnat-srpm-macros-6-8.fc43.noarch
gnupg2-2.4.8-4.fc43.x86_64
gnupg2-dirmngr-2.4.8-4.fc43.x86_64
gnupg2-gpg-agent-2.4.8-4.fc43.x86_64
gnupg2-gpgconf-2.4.8-4.fc43.x86_64
gnupg2-keyboxd-2.4.8-4.fc43.x86_64
gnupg2-verify-2.4.8-4.fc43.x86_64
gnutls-3.8.10-3.fc43.x86_64
go-srpm-macros-3.7.0-4.fc43.noarch
gpg-pubkey-c6e7f081cf80e13146676e88829b606631645531-66b6dccf
gpgverify-2.2-3.fc43.noarch
grep-3.12-2.fc43.x86_64
gzip-1.13-4.fc43.x86_64
ima-evm-utils-libs-1.6.2-6.fc43.x86_64
info-7.2-6.fc43.x86_64
jansson-2.14-3.fc43.x86_64
java-srpm-macros-1-7.fc43.noarch
json-c-0.18-7.fc43.x86_64
kernel-srpm-macros-1.0-27.fc43.noarch
keyutils-libs-1.6.3-6.fc43.x86_64
krb5-libs-1.21.3-7.fc43.x86_64
libacl-2.3.2-4.fc43.x86_64
libarchive-3.8.1-3.fc43.x86_64
libassuan-2.5.7-4.fc43.x86_64
libattr-2.5.2-6.fc43.x86_64
libblkid-2.41.1-16.fc43.x86_64
libbrotli-1.1.0-9.fc43.x86_64
libcap-2.76-3.fc43.x86_64
libcap-ng-0.8.5-7.fc43.x86_64
libcom_err-1.47.3-2.fc43.x86_64
libcurl-8.15.0-2.fc43.x86_64
libeconf-0.7.9-2.fc43.x86_64
libevent-2.1.12-16.fc43.x86_64
libfdisk-2.41.1-16.fc43.x86_64
libffi-3.5.1-2.fc43.x86_64
libfsverity-1.6-3.fc43.x86_64
libgcc-15.2.1-1.fc43.1.x86_64
libgcrypt-1.11.1-2.fc43.x86_64
libgomp-15.2.1-1.fc43.1.x86_64
libgpg-error-1.55-2.fc43.x86_64
libidn2-2.3.8-2.fc43.x86_64
libksba-1.6.7-4.fc43.x86_64
liblastlog2-2.41.1-16.fc43.x86_64
libmount-2.41.1-16.fc43.x86_64
libnghttp2-1.66.0-2.fc43.x86_64
libpkgconf-2.3.0-3.fc43.x86_64
libpsl-0.21.5-6.fc43.x86_64
libselinux-3.9-4.fc43.x86_64
libsemanage-3.9-3.fc43.x86_64
libsepol-3.9-2.fc43.x86_64
libsmartcols-2.41.1-16.fc43.x86_64
libssh-0.11.2-2.fc43.x86_64
libssh-config-0.11.2-2.fc43.noarch
libstdc++-15.2.1-1.fc43.1.x86_64
libtasn1-4.20.0-2.fc43.x86_64
libtool-ltdl-2.5.4-7.fc43.x86_64
libunistring-1.1-10.fc43.x86_64
libusb1-1.0.29-3.fc43.x86_64
libuuid-2.41.1-16.fc43.x86_64
libverto-0.3.2-11.fc43.x86_64
libxcrypt-4.4.38-8.fc43.x86_64
libxml2-2.12.10-4.fc43.x86_64
libzstd-1.5.7-2.fc43.x86_64
lua-libs-5.4.8-2.fc43.x86_64
lua-srpm-macros-1-16.fc43.noarch
lz4-libs-1.10.0-3.fc43.x86_64
mpfr-4.2.2-2.fc43.x86_64
ncurses-base-6.5-7.20250614.fc43.noarch
ncurses-libs-6.5-7.20250614.fc43.x86_64
nettle-3.10.1-2.fc43.x86_64
npth-1.8-3.fc43.x86_64
ocaml-srpm-macros-11-2.fc43.noarch
openblas-srpm-macros-2-20.fc43.noarch
openldap-2.6.10-3.fc43.x86_64
openssl-libs-3.5.1-2.fc43.x86_64
p11-kit-0.25.5-9.fc43.x86_64
p11-kit-trust-0.25.5-9.fc43.x86_64
package-notes-srpm-macros-0.5-14.fc43.noarch
pam-libs-1.7.1-3.fc43.x86_64
patch-2.8-2.fc43.x86_64
pcre2-10.45-1.fc43.1.x86_64
pcre2-syntax-10.45-1.fc43.1.noarch
perl-srpm-macros-1-60.fc43.noarch
pkgconf-2.3.0-3.fc43.x86_64
pkgconf-m4-2.3.0-3.fc43.noarch
pkgconf-pkg-config-2.3.0-3.fc43.x86_64
popt-1.19-9.fc43.x86_64
publicsuffix-list-dafsa-20250616-2.fc43.noarch
pyproject-srpm-macros-1.18.3-2.fc43.noarch
python-srpm-macros-3.14-5.fc43.noarch
qt5-srpm-macros-5.15.17-2.fc43.noarch
qt6-srpm-macros-6.9.1-2.fc43.noarch
readline-8.3-2.fc43.x86_64
redhat-rpm-config-343-11.fc43.noarch
rpm-5.99.92-1.fc43.x86_64
rpm-build-5.99.92-1.fc43.x86_64
rpm-build-libs-5.99.92-1.fc43.x86_64
rpm-libs-5.99.92-1.fc43.x86_64
rpm-sequoia-1.9.0-2.fc43.x86_64
rpm-sign-libs-5.99.92-1.fc43.x86_64
rust-srpm-macros-26.4-1.fc43.noarch
sed-4.9-5.fc43.x86_64
setup-2.15.0-26.fc43.noarch
shadow-utils-4.18.0-3.fc43.x86_64
sqlite-libs-3.50.2-2.fc43.x86_64
systemd-libs-257.7-1.fc43.x86_64
systemd-standalone-sysusers-257.7-1.fc43.x86_64
tar-1.35-6.fc43.x86_64
tpm2-tss-4.1.3-8.fc43.x86_64
tree-sitter-srpm-macros-0.4.2-1.fc43.noarch
unzip-6.0-67.fc43.x86_64
util-linux-2.41.1-16.fc43.x86_64
util-linux-core-2.41.1-16.fc43.x86_64
which-2.23-3.fc43.x86_64
xxhash-libs-0.8.3-3.fc43.x86_64
xz-5.8.1-2.fc43.x86_64
xz-libs-5.8.1-2.fc43.x86_64
zig-srpm-macros-1-5.fc43.noarch
zip-3.0-44.fc43.x86_64
zlib-ng-compat-2.2.5-1.fc43.x86_64
zstd-1.5.7-2.fc43.x86_64
Start: buildsrpm
Start: rpmbuild -bs
Building target platforms: x86_64
Building for target x86_64
setting SOURCE_DATE_EPOCH=1753401600
Wrote: /builddir/build/SRPMS/python-xbout-0.3.6-6.fc43.src.rpm
Finish: rpmbuild -bs
INFO: chroot_scan: 1 files copied to /var/lib/copr-rpmbuild/results/chroot_scan
INFO: /var/lib/mock/fedora-43-x86_64-1756533364.707914/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-9lzsl0vl/python-xbout/python-xbout.spec) Config(child) 0 minutes 16 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/python-xbout-0.3.6-6.fc43.src.rpm)  Config(fedora-43-x86_64)
Start(bootstrap): chroot init
INFO: mounting tmpfs at /var/lib/mock/fedora-43-x86_64-bootstrap-1756533364.707914/root.
INFO: reusing tmpfs at /var/lib/mock/fedora-43-x86_64-bootstrap-1756533364.707914/root.
INFO: calling preinit hooks
INFO: enabled root cache
INFO: enabled package manager cache
Start(bootstrap): cleaning package manager metadata
Finish(bootstrap): cleaning package manager metadata
Finish(bootstrap): chroot init
Start: chroot init
INFO: mounting tmpfs at /var/lib/mock/fedora-43-x86_64-1756533364.707914/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 downloaded with a bootstrap image:
  rpm-5.99.91-5.fc43.x86_64
  rpm-sequoia-1.9.0-2.fc43.x86_64
  dnf5-5.2.16.0-3.fc43.x86_64
  dnf5-plugins-5.2.16.0-3.fc43.x86_64
Finish: chroot init
Start: build phase for python-xbout-0.3.6-6.fc43.src.rpm
Start: build setup for python-xbout-0.3.6-6.fc43.src.rpm
Building target platforms: x86_64
Building for target x86_64
setting SOURCE_DATE_EPOCH=1753401600
Wrote: /builddir/build/SRPMS/python-xbout-0.3.6-6.fc43.src.rpm
Updating and loading repositories:
 Copr repository                        100% |  22.7 KiB/s |   1.5 KiB |  00m00s
 fedora                                 100% | 121.7 KiB/s |  28.2 KiB |  00m00s
 updates                                100% | 179.9 KiB/s |  31.1 KiB |  00m00s
Repositories loaded.
Package                           Arch   Version              Repository      Size
Installing:
 python3-boutdata                 noarch 0.3.0-5.fc43         fedora       1.2 MiB
 python3-devel                    x86_64 3.14.0~rc2-1.fc43    copr_base    1.9 MiB
 python3-pytest                   noarch 8.3.5-8.fc43         fedora      21.6 MiB
 python3-sphinx                   noarch 1:8.2.3-10.fc43      fedora      12.3 MiB
 python3-sphinx-autodoc-typehints noarch 3.1.0-4.fc43         fedora     129.1 KiB
Installing dependencies:
 abattis-cantarell-vf-fonts       noarch 0.301-15.fc43        fedora     192.7 KiB
 blosc                            x86_64 1.21.6-7.fc43        fedora     126.2 KiB
 cairo                            x86_64 1.18.4-2.fc43        fedora       1.8 MiB
 default-fonts-core-sans          noarch 4.2-5.fc43           fedora      11.9 KiB
 dejavu-sans-fonts                noarch 2.37-26.fc43         fedora       5.5 MiB
 expat                            x86_64 2.7.1-3.fc43         fedora     294.2 KiB
 flexiblas                        x86_64 3.4.5-4.fc43         fedora      50.4 KiB
 flexiblas-netlib                 x86_64 3.4.5-4.fc43         fedora      10.9 MiB
 flexiblas-openblas-openmp        x86_64 3.4.5-4.fc43         fedora      39.2 KiB
 fontconfig                       x86_64 2.17.0-3.fc43        fedora     765.9 KiB
 fonts-filesystem                 noarch 1:2.0.5-23.fc43      fedora       0.0   B
 freetype                         x86_64 2.13.3-3.fc43        fedora     850.2 KiB
 fribidi                          x86_64 1.0.16-3.fc43        fedora     190.3 KiB
 glib2                            x86_64 2.85.4-1.fc43        fedora      14.7 MiB
 google-noto-fonts-common         noarch 20250801-4.fc43      fedora      17.7 KiB
 google-noto-sans-vf-fonts        noarch 20250801-4.fc43      fedora       1.4 MiB
 graphite2                        x86_64 1.3.14-19.fc43       fedora     191.8 KiB
 harfbuzz                         x86_64 11.4.1-1.fc43        fedora       2.8 MiB
 hdf-libs                         x86_64 4.3.0-4.fc43         fedora     687.2 KiB
 hdf5                             x86_64 1.14.6-6.fc43        fedora       6.4 MiB
 jbigkit-libs                     x86_64 2.1-32.fc43          fedora     113.5 KiB
 lcms2                            x86_64 2.16-6.fc43          fedora     433.7 KiB
 libX11                           x86_64 1.8.12-1.fc43        fedora       1.3 MiB
 libX11-common                    noarch 1.8.12-1.fc43        fedora       1.2 MiB
 libXau                           x86_64 1.0.12-3.fc43        fedora      72.9 KiB
 libXext                          x86_64 1.3.6-4.fc43         fedora      90.0 KiB
 libXrender                       x86_64 0.9.12-3.fc43        fedora      46.0 KiB
 libaec                           x86_64 1.1.4-3.fc43         fedora      90.3 KiB
 libgfortran                      x86_64 15.2.1-1.fc43.1      fedora       3.4 MiB
 libimagequant                    x86_64 4.0.3-8.fc43         fedora     690.9 KiB
 libjpeg-turbo                    x86_64 3.1.1-2.fc43         fedora     799.5 KiB
 liblerc                          x86_64 4.0.0-9.fc43         fedora     624.1 KiB
 libpng                           x86_64 2:1.6.50-2.fc43      fedora     237.7 KiB
 libqhull_r                       x86_64 1:8.0.2-7.fc43       fedora     483.3 KiB
 libquadmath                      x86_64 15.2.1-1.fc43.1      fedora     317.9 KiB
 libraqm                          x86_64 0.10.1-3.fc43        fedora      28.6 KiB
 libtiff                          x86_64 4.7.0-8.fc43         fedora     619.0 KiB
 libtirpc                         x86_64 1.3.7-0.fc43         fedora     198.9 KiB
 libwebp                          x86_64 1.6.0-2.fc43         fedora     956.6 KiB
 libxcb                           x86_64 1.17.0-6.fc43        fedora       1.1 MiB
 libzip                           x86_64 1.11.4-2.fc43        fedora     135.8 KiB
 lzo                              x86_64 2.10-15.fc43         fedora     178.9 KiB
 mpdecimal                        x86_64 4.0.1-2.fc43         fedora     217.2 KiB
 netcdf                           x86_64 4.9.2-15.fc43        fedora       2.3 MiB
 openblas                         x86_64 0.3.29-2.fc43        fedora     111.7 KiB
 openblas-openmp                  x86_64 0.3.29-2.fc43        fedora      43.7 MiB
 openjpeg                         x86_64 2.5.3-8.fc43         fedora     455.7 KiB
 pixman                           x86_64 0.46.2-2.fc43        fedora     710.3 KiB
 pyproject-rpm-macros             noarch 1.18.3-2.fc43        fedora     114.5 KiB
 python-pip-wheel                 noarch 25.2-2.fc43          copr_base    1.2 MiB
 python-rpm-macros                noarch 3.14-5.fc43          fedora      23.2 KiB
 python3                          x86_64 3.14.0~rc2-1.fc43    copr_base   28.9 KiB
 python3-babel                    noarch 2.17.0-5.fc43        fedora      30.3 MiB
 python3-cairo                    x86_64 1.28.0-3.fc43        fedora     492.9 KiB
 python3-certifi                  noarch 2025.07.09-2.fc43    fedora       7.4 KiB
 python3-cftime                   x86_64 1.6.4-9.fc43         fedora     581.6 KiB
 python3-charset-normalizer       noarch 3.4.3-2.fc43         fedora     355.7 KiB
 python3-contourpy                x86_64 1.3.3-2.fc43         fedora     856.7 KiB
 python3-cycler                   noarch 0.11.0-18.fc43       fedora      37.8 KiB
 python3-dateutil                 noarch 1:2.9.0.post0-5.fc43 fedora     877.5 KiB
 python3-docutils                 noarch 0.21.2-5.fc43        fedora       5.0 MiB
 python3-fonttools                x86_64 4.59.1-2.fc43        fedora      19.0 MiB
 python3-idna                     noarch 3.10-5.fc43          fedora     730.6 KiB
 python3-imagesize                noarch 1.4.1-13.fc43        fedora      36.0 KiB
 python3-iniconfig                noarch 2.1.0-2.fc43         fedora      42.4 KiB
 python3-jinja2                   noarch 3.1.6-5.fc43         fedora       3.1 MiB
 python3-kiwisolver               x86_64 1.4.9-2.fc43         fedora     154.0 KiB
 python3-libs                     x86_64 3.14.0~rc2-1.fc43    copr_base   42.9 MiB
 python3-markupsafe               x86_64 3.0.2-5.fc43         fedora      61.5 KiB
 python3-matplotlib               x86_64 3.10.5-1.fc43        fedora      31.6 MiB
 python3-matplotlib-data-fonts    x86_64 3.10.5-1.fc43        fedora       7.9 MiB
 python3-mpmath                   noarch 1.3.0-15.fc43        fedora       5.3 MiB
 python3-natsort                  noarch 8.4.0-7.fc43         fedora     264.5 KiB
 python3-netcdf4                  x86_64 1.7.2-8.fc43         copr_base    2.3 MiB
 python3-numpy                    x86_64 1:2.3.2-2.fc43       fedora      41.3 MiB
 python3-numpy-f2py               x86_64 1:2.3.2-2.fc43       fedora       2.1 MiB
 python3-olefile                  noarch 0.47-10.fc43         fedora     346.5 KiB
 python3-packaging                noarch 25.0-5.fc43          fedora     607.4 KiB
 python3-pillow                   x86_64 11.3.0-4.fc43        fedora       4.2 MiB
 python3-platformdirs             noarch 4.2.2-7.fc43         fedora     177.6 KiB
 python3-pluggy                   noarch 1.6.0-3.fc43         fedora     211.0 KiB
 python3-pooch                    noarch 1.8.2-8.fc43         fedora     635.3 KiB
 python3-pygments                 noarch 2.19.1-5.fc43        fedora      11.3 MiB
 python3-pyparsing                noarch 3.1.2-13.fc43        fedora       1.0 MiB
 python3-requests                 noarch 2.32.5-1.fc43        copr_base  476.9 KiB
 python3-roman-numerals-py        noarch 3.1.0-4.fc43         fedora      40.4 KiB
 python3-rpm-generators           noarch 14-13.fc43           fedora      81.7 KiB
 python3-rpm-macros               noarch 3.14-5.fc43          fedora       6.5 KiB
 python3-scipy                    x86_64 1.15.3-5.fc43        fedora      68.8 MiB
 python3-six                      noarch 1.17.0-6.fc43        fedora     118.0 KiB
 python3-snowballstemmer          noarch 3.0.1-7.fc43         fedora       1.8 MiB
 python3-sphinx-theme-alabaster   noarch 0.7.16-10.fc43       fedora      42.0 KiB
 python3-sympy                    noarch 1.14.0-6.fc43        fedora      84.3 MiB
 python3-urllib3                  noarch 2.5.0-2.fc43         fedora       1.1 MiB
 snappy                           x86_64 1.2.2-2.fc43         fedora      71.8 KiB
 tzdata                           noarch 2025b-3.fc43         fedora       1.6 MiB
 xml-common                       noarch 0.6.3-67.fc43        fedora      78.4 KiB

Transaction Summary:
 Installing:       102 packages

Total size of inbound packages is 114 MiB. Need to download 114 MiB.
After this operation, 518 MiB extra will be used (install 518 MiB, remove 0 B).
[  1/102] python3-sphinx-autodoc-typehi 100% |   4.0 MiB/s |  53.9 KiB |  00m00s
[  2/102] python3-pytest-0:8.3.5-8.fc43 100% | 138.5 MiB/s |   2.2 MiB |  00m00s
[  3/102] python3-boutdata-0:0.3.0-5.fc 100% |  19.3 MiB/s | 335.5 KiB |  00m00s
[  4/102] python3-sphinx-1:8.2.3-10.fc4 100% | 191.1 MiB/s |   2.9 MiB |  00m00s
[  5/102] python3-natsort-0:8.4.0-7.fc4 100% |  27.0 MiB/s |  83.1 KiB |  00m00s
[  6/102] python3-matplotlib-0:3.10.5-1 100% | 197.5 MiB/s |   7.9 MiB |  00m00s
[  7/102] python3-numpy-1:2.3.2-2.fc43. 100% | 249.1 MiB/s |   8.2 MiB |  00m00s
[  8/102] python3-devel-0:3.14.0~rc2-1. 100% |   4.4 MiB/s | 387.0 KiB |  00m00s
[  9/102] python3-iniconfig-0:2.1.0-2.f 100% |   2.0 MiB/s |  22.7 KiB |  00m00s
[ 10/102] python3-scipy-0:1.15.3-5.fc43 100% | 235.8 MiB/s |  16.5 MiB |  00m00s
[ 11/102] python3-sympy-0:1.14.0-6.fc43 100% | 207.1 MiB/s |  15.9 MiB |  00m00s
[ 12/102] python3-pluggy-0:1.6.0-3.fc43 100% |   3.8 MiB/s |  61.5 KiB |  00m00s
[ 13/102] python3-packaging-0:25.0-5.fc 100% |   5.1 MiB/s | 161.2 KiB |  00m00s
[ 14/102] python3-imagesize-0:1.4.1-13. 100% |   7.1 MiB/s |  22.0 KiB |  00m00s
[ 15/102] python3-docutils-0:0.21.2-5.f 100% | 122.0 MiB/s |   1.1 MiB |  00m00s
[ 16/102] python3-jinja2-0:3.1.6-5.fc43 100% |  71.9 MiB/s | 515.6 KiB |  00m00s
[ 17/102] python3-roman-numerals-py-0:3 100% |   4.9 MiB/s |  20.0 KiB |  00m00s
[ 18/102] python3-pygments-0:2.19.1-5.f 100% | 140.7 MiB/s |   2.7 MiB |  00m00s
[ 19/102] python3-babel-0:2.17.0-5.fc43 100% | 198.0 MiB/s |   6.9 MiB |  00m00s
[ 20/102] python3-snowballstemmer-0:3.0 100% |  14.4 MiB/s | 280.6 KiB |  00m00s
[ 21/102] python3-sphinx-theme-alabaste 100% |   4.0 MiB/s |  24.5 KiB |  00m00s
[ 22/102] freetype-0:2.13.3-3.fc43.x86_ 100% | 201.2 MiB/s | 412.1 KiB |  00m00s
[ 23/102] libqhull_r-1:8.0.2-7.fc43.x86 100% |  65.7 MiB/s | 201.9 KiB |  00m00s
[ 24/102] dejavu-sans-fonts-0:2.37-26.f 100% | 220.8 MiB/s |   1.3 MiB |  00m00s
[ 25/102] python3-cycler-0:0.11.0-18.fc 100% |  10.6 MiB/s |  21.7 KiB |  00m00s
[ 26/102] python3-contourpy-0:1.3.3-2.f 100% |  69.8 MiB/s | 285.7 KiB |  00m00s
[ 27/102] python3-dateutil-1:2.9.0.post 100% |  84.0 MiB/s | 344.2 KiB |  00m00s
[ 28/102] python3-kiwisolver-0:1.4.9-2. 100% |  16.6 MiB/s |  68.2 KiB |  00m00s
[ 29/102] python3-pyparsing-0:3.1.2-13. 100% |  70.0 MiB/s | 286.8 KiB |  00m00s
[ 30/102] python3-fonttools-0:4.59.1-2. 100% | 209.4 MiB/s |   3.1 MiB |  00m00s
[ 31/102] flexiblas-netlib-0:3.4.5-4.fc 100% | 281.7 MiB/s |   3.4 MiB |  00m00s
[ 32/102] python3-matplotlib-data-fonts 100% | 117.1 MiB/s |   2.3 MiB |  00m00s
[ 33/102] python3-numpy-f2py-1:2.3.2-2. 100% |  49.9 MiB/s | 510.6 KiB |  00m00s
[ 34/102] libgfortran-0:15.2.1-1.fc43.1 100% | 189.4 MiB/s | 969.6 KiB |  00m00s
[ 35/102] python3-pooch-0:1.8.2-8.fc43. 100% |  45.3 MiB/s | 139.2 KiB |  00m00s
[ 36/102] python3-markupsafe-0:3.0.2-5. 100% |  10.3 MiB/s |  31.6 KiB |  00m00s
[ 37/102] fonts-filesystem-1:2.0.5-23.f 100% |   4.2 MiB/s |   8.7 KiB |  00m00s
[ 38/102] python3-mpmath-0:1.3.0-15.fc4 100% | 157.1 MiB/s |   1.1 MiB |  00m00s
[ 39/102] harfbuzz-0:11.4.1-1.fc43.x86_ 100% | 270.2 MiB/s |   1.1 MiB |  00m00s
[ 40/102] libpng-2:1.6.50-2.fc43.x86_64 100% |  30.0 MiB/s | 123.0 KiB |  00m00s
[ 41/102] python3-six-0:1.17.0-6.fc43.n 100% |  13.6 MiB/s |  41.7 KiB |  00m00s
[ 42/102] flexiblas-0:3.4.5-4.fc43.x86_ 100% |  12.7 MiB/s |  26.0 KiB |  00m00s
[ 43/102] tzdata-0:2025b-3.fc43.noarch  100% | 232.4 MiB/s | 713.9 KiB |  00m00s
[ 44/102] flexiblas-openblas-openmp-0:3 100% |   5.5 MiB/s |  17.0 KiB |  00m00s
[ 45/102] libquadmath-0:15.2.1-1.fc43.1 100% |  98.9 MiB/s | 202.5 KiB |  00m00s
[ 46/102] python3-platformdirs-0:4.2.2- 100% |  23.9 MiB/s |  48.9 KiB |  00m00s
[ 47/102] graphite2-0:1.3.14-19.fc43.x8 100% |  23.3 MiB/s |  95.6 KiB |  00m00s
[ 48/102] glib2-0:2.85.4-1.fc43.x86_64  100% | 341.9 MiB/s |   3.1 MiB |  00m00s
[ 49/102] openblas-openmp-0:0.3.29-2.fc 100% | 233.1 MiB/s |   5.4 MiB |  00m00s
[ 50/102] python3-charset-normalizer-0: 100% |  57.2 MiB/s | 117.2 KiB |  00m00s
[ 51/102] python3-idna-0:3.10-5.fc43.no 100% |  60.6 MiB/s | 124.0 KiB |  00m00s
[ 52/102] python3-urllib3-0:2.5.0-2.fc4 100% | 145.2 MiB/s | 297.4 KiB |  00m00s
[ 53/102] python3-cairo-0:1.28.0-3.fc43 100% |  41.1 MiB/s | 126.1 KiB |  00m00s
[ 54/102] cairo-0:1.18.4-2.fc43.x86_64  100% | 237.4 MiB/s | 729.3 KiB |  00m00s
[ 55/102] fontconfig-0:2.17.0-3.fc43.x8 100% | 132.9 MiB/s | 272.2 KiB |  00m00s
[ 56/102] libX11-0:1.8.12-1.fc43.x86_64 100% | 213.4 MiB/s | 655.6 KiB |  00m00s
[ 57/102] libXext-0:1.3.6-4.fc43.x86_64 100% |  38.1 MiB/s |  39.1 KiB |  00m00s
[ 58/102] libXrender-0:0.9.12-3.fc43.x8 100% |  26.2 MiB/s |  26.9 KiB |  00m00s
[ 59/102] libxcb-0:1.17.0-6.fc43.x86_64 100% | 116.1 MiB/s | 237.7 KiB |  00m00s
[ 60/102] lzo-0:2.10-15.fc43.x86_64     100% |  33.9 MiB/s |  69.4 KiB |  00m00s
[ 61/102] pixman-0:0.46.2-2.fc43.x86_64 100% | 142.8 MiB/s | 292.5 KiB |  00m00s
[ 62/102] default-fonts-core-sans-0:4.2 100% |  29.2 MiB/s |  29.9 KiB |  00m00s
[ 63/102] xml-common-0:0.6.3-67.fc43.no 100% |  30.3 MiB/s |  31.0 KiB |  00m00s
[ 64/102] libX11-common-0:1.8.12-1.fc43 100% |  85.9 MiB/s | 175.9 KiB |  00m00s
[ 65/102] libXau-0:1.0.12-3.fc43.x86_64 100% |  32.7 MiB/s |  33.4 KiB |  00m00s
[ 66/102] abattis-cantarell-vf-fonts-0: 100% | 117.3 MiB/s | 120.1 KiB |  00m00s
[ 67/102] python3-0:3.14.0~rc2-1.fc43.x 100% | 458.9 KiB/s |  28.0 KiB |  00m00s
[ 68/102] google-noto-sans-vf-fonts-0:2 100% | 200.0 MiB/s | 614.5 KiB |  00m00s
[ 69/102] google-noto-fonts-common-0:20 100% |  16.8 MiB/s |  17.2 KiB |  00m00s
[ 70/102] python3-pillow-0:11.3.0-4.fc4 100% | 255.9 MiB/s |   1.0 MiB |  00m00s
[ 71/102] lcms2-0:2.16-6.fc43.x86_64    100% |  44.6 MiB/s | 182.8 KiB |  00m00s
[ 72/102] libimagequant-0:4.0.3-8.fc43. 100% | 153.2 MiB/s | 313.8 KiB |  00m00s
[ 73/102] libjpeg-turbo-0:3.1.1-2.fc43. 100% | 115.3 MiB/s | 236.1 KiB |  00m00s
[ 74/102] libraqm-0:0.10.1-3.fc43.x86_6 100% |  21.9 MiB/s |  22.4 KiB |  00m00s
[ 75/102] libtiff-0:4.7.0-8.fc43.x86_64 100% |  54.0 MiB/s | 221.1 KiB |  00m00s
[ 76/102] libwebp-0:1.6.0-2.fc43.x86_64 100% |  63.3 MiB/s | 324.2 KiB |  00m00s
[ 77/102] python3-requests-0:2.32.5-1.f 100% |   2.0 MiB/s | 150.6 KiB |  00m00s
[ 78/102] openjpeg-0:2.5.3-8.fc43.x86_6 100% |  37.5 MiB/s | 192.1 KiB |  00m00s
[ 79/102] fribidi-0:1.0.16-3.fc43.x86_6 100% |  26.0 MiB/s |  53.3 KiB |  00m00s
[ 80/102] python3-olefile-0:0.47-10.fc4 100% |  18.3 MiB/s |  74.8 KiB |  00m00s
[ 81/102] jbigkit-libs-0:2.1-32.fc43.x8 100% |  51.9 MiB/s |  53.2 KiB |  00m00s
[ 82/102] liblerc-0:4.0.0-9.fc43.x86_64 100% |  70.0 MiB/s | 215.1 KiB |  00m00s
[ 83/102] netcdf-0:4.9.2-15.fc43.x86_64 100% | 200.3 MiB/s | 820.6 KiB |  00m00s
[ 84/102] python3-certifi-0:2025.07.09- 100% |   4.8 MiB/s |  14.9 KiB |  00m00s
[ 85/102] blosc-0:1.21.6-7.fc43.x86_64  100% |  56.8 MiB/s |  58.1 KiB |  00m00s
[ 86/102] python3-cftime-0:1.6.4-9.fc43 100% |  71.0 MiB/s | 218.2 KiB |  00m00s
[ 87/102] libaec-0:1.1.4-3.fc43.x86_64  100% |  36.7 MiB/s |  37.6 KiB |  00m00s
[ 88/102] libzip-0:1.11.4-2.fc43.x86_64 100% |  34.2 MiB/s |  70.0 KiB |  00m00s
[ 89/102] hdf5-0:1.14.6-6.fc43.x86_64   100% | 249.2 MiB/s |   2.0 MiB |  00m00s
[ 90/102] snappy-0:1.2.2-2.fc43.x86_64  100% |  19.3 MiB/s |  39.6 KiB |  00m00s
[ 91/102] openblas-0:0.3.29-2.fc43.x86_ 100% |  41.3 MiB/s |  42.3 KiB |  00m00s
[ 92/102] expat-0:2.7.1-3.fc43.x86_64   100% | 113.4 MiB/s | 116.1 KiB |  00m00s
[ 93/102] mpdecimal-0:4.0.1-2.fc43.x86_ 100% |  47.4 MiB/s |  97.1 KiB |  00m00s
[ 94/102] python-pip-wheel-0:25.2-2.fc4 100% |  12.9 MiB/s |   1.1 MiB |  00m00s
[ 95/102] hdf-libs-0:4.3.0-4.fc43.x86_6 100% |  94.8 MiB/s | 291.3 KiB |  00m00s
[ 96/102] libtirpc-0:1.3.7-0.fc43.x86_6 100% |  46.0 MiB/s |  94.1 KiB |  00m00s
[ 97/102] pyproject-rpm-macros-0:1.18.3 100% |  43.3 MiB/s |  44.3 KiB |  00m00s
[ 98/102] python-rpm-macros-0:3.14-5.fc 100% |  16.9 MiB/s |  17.3 KiB |  00m00s
[ 99/102] python3-rpm-generators-0:14-1 100% |  27.9 MiB/s |  28.5 KiB |  00m00s
[100/102] python3-rpm-macros-0:3.14-5.f 100% |  11.5 MiB/s |  11.8 KiB |  00m00s
[101/102] python3-libs-0:3.14.0~rc2-1.f 100% |  75.3 MiB/s |   9.5 MiB |  00m00s
[102/102] python3-netcdf4-0:1.7.2-8.fc4 100% |   2.8 MiB/s | 639.7 KiB |  00m00s
--------------------------------------------------------------------------------
[102/102] Total                         100% | 210.5 MiB/s | 113.7 MiB |  00m01s
Running transaction
[  1/104] Verify package files          100% | 264.0   B/s | 102.0   B |  00m00s
[  2/104] Prepare transaction           100% | 980.0   B/s | 102.0   B |  00m00s
[  3/104] Installing fonts-filesystem-1 100% | 769.5 KiB/s | 788.0   B |  00m00s
[  4/104] Installing libgfortran-0:15.2 100% | 479.3 MiB/s |   3.4 MiB |  00m00s
[  5/104] Installing python-rpm-macros- 100% |   0.0   B/s |  23.9 KiB |  00m00s
[  6/104] Installing libaec-0:1.1.4-3.f 100% |  90.6 MiB/s |  92.8 KiB |  00m00s
[  7/104] Installing libjpeg-turbo-0:3. 100% | 391.2 MiB/s | 801.2 KiB |  00m00s
[  8/104] Installing python3-rpm-macros 100% |   0.0   B/s |   6.8 KiB |  00m00s
[  9/104] Installing libwebp-0:1.6.0-2. 100% | 156.4 MiB/s | 960.7 KiB |  00m00s
[ 10/104] Installing tzdata-0:2025b-3.f 100% |  67.6 MiB/s |   1.9 MiB |  00m00s
[ 11/104] Installing libpng-2:1.6.50-2. 100% | 233.4 MiB/s | 239.0 KiB |  00m00s
[ 12/104] Installing pyproject-rpm-macr 100% | 113.7 MiB/s | 116.5 KiB |  00m00s
[ 13/104] Installing hdf5-0:1.14.6-6.fc 100% | 220.1 MiB/s |   6.4 MiB |  00m00s
[ 14/104] Installing dejavu-sans-fonts- 100% | 459.1 MiB/s |   5.5 MiB |  00m00s
[ 15/104] Installing abattis-cantarell- 100% | 189.9 MiB/s | 194.4 KiB |  00m00s
[ 16/104] Installing libtirpc-0:1.3.7-0 100% | 196.0 MiB/s | 200.7 KiB |  00m00s
[ 17/104] Installing hdf-libs-0:4.3.0-4 100% | 336.1 MiB/s | 688.3 KiB |  00m00s
[ 18/104] Installing python-pip-wheel-0 100% | 589.5 MiB/s |   1.2 MiB |  00m00s
[ 19/104] Installing mpdecimal-0:4.0.1- 100% | 213.7 MiB/s | 218.8 KiB |  00m00s
[ 20/104] Installing expat-0:2.7.1-3.fc 100% |  19.3 MiB/s | 296.3 KiB |  00m00s
[ 21/104] Installing python3-libs-0:3.1 100% | 370.2 MiB/s |  43.3 MiB |  00m00s
[ 22/104] Installing python3-0:3.14.0~r 100% |   2.3 MiB/s |  30.7 KiB |  00m00s
[ 23/104] Installing python3-packaging- 100% | 201.8 MiB/s | 619.9 KiB |  00m00s
[ 24/104] Installing python3-idna-0:3.1 100% | 239.9 MiB/s | 737.1 KiB |  00m00s
[ 25/104] Installing python3-urllib3-0: 100% | 277.8 MiB/s |   1.1 MiB |  00m00s
[ 26/104] Installing python3-rpm-genera 100% |   0.0   B/s |  82.9 KiB |  00m00s
[ 27/104] Installing python3-natsort-0: 100% |  20.5 MiB/s | 273.4 KiB |  00m00s
[ 28/104] Installing python3-iniconfig- 100% |  45.4 MiB/s |  46.5 KiB |  00m00s
[ 29/104] Installing python3-pluggy-0:1 100% |  70.8 MiB/s | 217.5 KiB |  00m00s
[ 30/104] Installing python3-babel-0:2. 100% | 367.5 MiB/s |  30.5 MiB |  00m00s
[ 31/104] Installing python3-docutils-0 100% | 174.5 MiB/s |   5.1 MiB |  00m00s
[ 32/104] Installing python3-imagesize- 100% |  12.7 MiB/s |  39.1 KiB |  00m00s
[ 33/104] Installing python3-pygments-0 100% | 244.4 MiB/s |  11.5 MiB |  00m00s
[ 34/104] Installing python3-roman-nume 100% |  42.4 MiB/s |  43.4 KiB |  00m00s
[ 35/104] Installing python3-snowballst 100% | 371.9 MiB/s |   1.9 MiB |  00m00s
[ 36/104] Installing python3-sphinx-the 100% |  45.5 MiB/s |  46.6 KiB |  00m00s
[ 37/104] Installing python3-cycler-0:0 100% |  13.1 MiB/s |  40.3 KiB |  00m00s
[ 38/104] Installing python3-fonttools- 100% | 390.9 MiB/s |  19.2 MiB |  00m00s
[ 39/104] Installing python3-kiwisolver 100% | 154.4 MiB/s | 158.1 KiB |  00m00s
[ 40/104] Installing python3-pyparsing- 100% | 257.4 MiB/s |   1.0 MiB |  00m00s
[ 41/104] Installing python3-mpmath-0:1 100% | 233.8 MiB/s |   5.4 MiB |  00m00s
[ 42/104] Installing python3-sympy-0:1. 100% | 349.2 MiB/s |  85.2 MiB |  00m00s
[ 43/104] Installing python3-markupsafe 100% |  64.2 MiB/s |  65.8 KiB |  00m00s
[ 44/104] Installing python3-jinja2-0:3 100% | 441.7 MiB/s |   3.1 MiB |  00m00s
[ 45/104] Installing python3-six-0:1.17 100% | 117.5 MiB/s | 120.3 KiB |  00m00s
[ 46/104] Installing python3-dateutil-1 100% | 290.1 MiB/s | 891.1 KiB |  00m00s
[ 47/104] Installing python3-platformdi 100% | 179.7 MiB/s | 184.0 KiB |  00m00s
[ 48/104] Installing python3-charset-no 100% |  27.5 MiB/s | 365.8 KiB |  00m00s
[ 49/104] Installing python3-requests-0 100% | 119.4 MiB/s | 488.9 KiB |  00m00s
[ 50/104] Installing python3-sphinx-1:8 100% | 218.6 MiB/s |  12.5 MiB |  00m00s
[ 51/104] Installing python3-pooch-0:1. 100% | 211.7 MiB/s | 650.4 KiB |  00m00s
[ 52/104] Installing python3-olefile-0: 100% | 341.6 MiB/s | 349.8 KiB |  00m00s
[ 53/104] Installing python3-certifi-0: 100% |  10.9 MiB/s |  11.2 KiB |  00m00s
[ 54/104] Installing openblas-0:0.3.29- 100% |   0.0   B/s | 113.5 KiB |  00m00s
[ 55/104] Installing openblas-openmp-0: 100% | 672.1 MiB/s |  43.7 MiB |  00m00s
[ 56/104] Installing snappy-0:1.2.2-2.f 100% |  71.8 MiB/s |  73.5 KiB |  00m00s
[ 57/104] Installing blosc-0:1.21.6-7.f 100% | 126.0 MiB/s | 129.0 KiB |  00m00s
[ 58/104] Installing libzip-0:1.11.4-2. 100% | 133.7 MiB/s | 137.0 KiB |  00m00s
[ 59/104] Installing netcdf-0:4.9.2-15. 100% | 130.4 MiB/s |   2.3 MiB |  00m00s
[ 60/104] Installing liblerc-0:4.0.0-9. 100% | 305.5 MiB/s | 625.6 KiB |  00m00s
[ 61/104] Installing jbigkit-libs-0:2.1 100% | 112.7 MiB/s | 115.4 KiB |  00m00s
[ 62/104] Installing libtiff-0:4.7.0-8. 100% | 303.4 MiB/s | 621.3 KiB |  00m00s
[ 63/104] Installing fribidi-0:1.0.16-3 100% |  15.7 MiB/s | 192.8 KiB |  00m00s
[ 64/104] Installing openjpeg-0:2.5.3-8 100% | 223.5 MiB/s | 457.7 KiB |  00m00s
[ 65/104] Installing libimagequant-0:4. 100% | 338.2 MiB/s | 692.5 KiB |  00m00s
[ 66/104] Installing lcms2-0:2.16-6.fc4 100% | 212.6 MiB/s | 435.3 KiB |  00m00s
[ 67/104] Installing google-noto-fonts- 100% |   0.0   B/s |  18.5 KiB |  00m00s
[ 68/104] Installing google-noto-sans-v 100% | 347.8 MiB/s |   1.4 MiB |  00m00s
[ 69/104] Installing default-fonts-core 100% |  17.8 MiB/s |  18.2 KiB |  00m00s
[ 70/104] Installing libXau-0:1.0.12-3. 100% |  72.7 MiB/s |  74.5 KiB |  00m00s
[ 71/104] Installing libxcb-0:1.17.0-6. 100% | 270.0 MiB/s |   1.1 MiB |  00m00s
[ 72/104] Installing libX11-common-0:1. 100% | 169.7 MiB/s |   1.2 MiB |  00m00s
[ 73/104] Installing libX11-0:1.8.12-1. 100% | 427.2 MiB/s |   1.3 MiB |  00m00s
[ 74/104] Installing libXext-0:1.3.6-4. 100% |   0.0   B/s |  91.2 KiB |  00m00s
[ 75/104] Installing libXrender-0:0.9.1 100% |   9.2 MiB/s |  47.3 KiB |  00m00s
[ 76/104] Installing xml-common-0:0.6.3 100% |  79.2 MiB/s |  81.1 KiB |  00m00s
[ 77/104] Installing pixman-0:0.46.2-2. 100% | 347.4 MiB/s | 711.4 KiB |  00m00s
[ 78/104] Installing lzo-0:2.10-15.fc43 100% | 176.3 MiB/s | 180.5 KiB |  00m00s
[ 79/104] Installing graphite2-0:1.3.14 100% |  13.5 MiB/s | 193.9 KiB |  00m00s
[ 80/104] Installing glib2-0:2.85.4-1.f 100% | 320.6 MiB/s |  14.7 MiB |  00m00s
[ 81/104] Installing freetype-0:2.13.3- 100% | 277.3 MiB/s | 851.9 KiB |  00m00s
[ 82/104] Installing harfbuzz-0:11.4.1- 100% | 405.3 MiB/s |   2.8 MiB |  00m00s
[ 83/104] Installing libraqm-0:0.10.1-3 100% |  29.0 MiB/s |  29.7 KiB |  00m00s
[ 84/104] Installing python3-pillow-0:1 100% | 331.1 MiB/s |   4.3 MiB |  00m00s
[ 85/104] Installing fontconfig-0:2.17. 100% | 758.0 KiB/s | 785.3 KiB |  00m01s
[ 86/104] Installing cairo-0:1.18.4-2.f 100% | 354.4 MiB/s |   1.8 MiB |  00m00s
[ 87/104] Installing python3-cairo-0:1. 100% | 242.4 MiB/s | 496.4 KiB |  00m00s
[ 88/104] Installing libquadmath-0:15.2 100% | 311.7 MiB/s | 319.2 KiB |  00m00s
[ 89/104] Installing flexiblas-netlib-0 100% | 287.3 MiB/s |  10.9 MiB |  00m00s
[ 90/104] Installing flexiblas-0:3.4.5- 100% |   0.0   B/s |  51.6 KiB |  00m00s
[ 91/104] Installing flexiblas-openblas 100% |   9.8 MiB/s |  40.1 KiB |  00m00s
[ 92/104] Installing python3-numpy-1:2. 100% | 368.3 MiB/s |  41.6 MiB |  00m00s
[ 93/104] Installing python3-numpy-f2py 100% |  83.5 MiB/s |   2.2 MiB |  00m00s
[ 94/104] Installing python3-scipy-0:1. 100% | 404.6 MiB/s |  69.2 MiB |  00m00s
[ 95/104] Installing python3-contourpy- 100% | 212.3 MiB/s | 869.5 KiB |  00m00s
[ 96/104] Installing python3-cftime-0:1 100% | 285.8 MiB/s | 585.3 KiB |  00m00s
[ 97/104] Installing python3-netcdf4-0: 100% | 385.4 MiB/s |   2.3 MiB |  00m00s
[ 98/104] Installing python3-matplotlib 100% | 439.7 MiB/s |   7.9 MiB |  00m00s
[ 99/104] Installing libqhull_r-1:8.0.2 100% | 118.2 MiB/s | 484.1 KiB |  00m00s
[100/104] Installing python3-matplotlib 100% | 436.5 MiB/s |  31.9 MiB |  00m00s
[101/104] Installing python3-boutdata-0 100% |  71.0 MiB/s |   1.2 MiB |  00m00s
[102/104] Installing python3-sphinx-aut 100% |  43.6 MiB/s | 133.9 KiB |  00m00s
[103/104] Installing python3-pytest-0:8 100% | 382.4 MiB/s |  21.8 MiB |  00m00s
[104/104] Installing python3-devel-0:3. 100% |  17.9 MiB/s |   2.0 MiB |  00m00s
Warning: skipped OpenPGP checks for 6 packages from repository: copr_base
Complete!
Finish: build setup for python-xbout-0.3.6-6.fc43.src.rpm
Start: rpmbuild python-xbout-0.3.6-6.fc43.src.rpm
Building target platforms: x86_64
Building for target x86_64
setting SOURCE_DATE_EPOCH=1753401600
Executing(%mkbuilddir): /bin/sh -e /var/tmp/rpm-tmp.PAjdg0
Executing(%prep): /bin/sh -e /var/tmp/rpm-tmp.5EFVas
+ umask 022
+ cd /builddir/build/BUILD/python-xbout-0.3.6-build
+ cd /builddir/build/BUILD/python-xbout-0.3.6-build
+ rm -rf xbout-0.3.6
+ /usr/lib/rpm/rpmuncompress -x /builddir/build/SOURCES/xbout-0.3.6.tar.gz
+ STATUS=0
+ '[' 0 -ne 0 ']'
+ cd xbout-0.3.6
+ /usr/bin/chmod -Rf a+rX,u+w,g-w,o-w .
+ /usr/lib/rpm/rpmuncompress /builddir/build/SOURCES/xarray-version.patch
+ /usr/bin/patch -p1 -s --fuzz=0 --no-backup-if-mismatch -f
+ /usr/lib/rpm/rpmuncompress /builddir/build/SOURCES/sphinx-theme.patch
+ /usr/bin/patch -p1 -s --fuzz=0 --no-backup-if-mismatch -f
+ /usr/lib/rpm/rpmuncompress /builddir/build/SOURCES/fix-dirs.patch
+ /usr/bin/patch -p1 -s --fuzz=0 --no-backup-if-mismatch -f
+ rm -rf xbout.egg-info
+ RPM_EC=0
++ jobs -p
+ exit 0
Executing(%generate_buildrequires): /bin/sh -e /var/tmp/rpm-tmp.izCoE3
+ umask 022
+ cd /builddir/build/BUILD/python-xbout-0.3.6-build
+ cd xbout-0.3.6
+ echo pyproject-rpm-macros
+ echo python3-devel
+ echo 'python3dist(packaging)'
+ echo 'python3dist(pip) >= 19'
+ '[' -f pyproject.toml ']'
+ echo '(python3dist(tomli) if python3-devel < 3.11)'
+ rm -rfv '*.dist-info/'
+ '[' -f /usr/bin/python3 ']'
+ mkdir -p /builddir/build/BUILD/python-xbout-0.3.6-build/.pyproject-builddir
+ echo -n
+ 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 -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer  '
+ 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 -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer  '
+ 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 -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules  '
+ 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 -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules  '
+ VALAFLAGS=-g
+ RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes --cap-lints=warn'
+ 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-hardened-ld-errors -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -Wl,--build-id=sha1   '
+ LT_SYS_LIBRARY_PATH=/usr/lib64:
+ CC=gcc
+ CXX=g++
+ TMPDIR=/builddir/build/BUILD/python-xbout-0.3.6-build/.pyproject-builddir
+ RPM_TOXENV=py314
+ FEDORA=43
+ HOSTNAME=rpmbuild
+ /usr/bin/python3 -Bs /usr/lib/rpm/redhat/pyproject_buildrequires.py --generate-extras --python3_pkgversion 3 --wheeldir /builddir/build/BUILD/python-xbout-0.3.6-build/pyproject-wheeldir --output /builddir/build/BUILD/python-xbout-0.3.6-build/python-xbout-0.3.6-6.fc43.x86_64-pyproject-buildrequires -r
Handling setuptools >= 65 from build-system.requires
Requirement not satisfied: setuptools >= 65
Handling setuptools_scm[toml] >= 7 from build-system.requires
Requirement not satisfied: setuptools_scm[toml] >= 7
Handling wheel >= 0.29.0 from build-system.requires
Requirement not satisfied: wheel >= 0.29.0
Exiting dependency generation pass: build backend
+ cat /builddir/build/BUILD/python-xbout-0.3.6-build/python-xbout-0.3.6-6.fc43.x86_64-pyproject-buildrequires
+ rm -rfv '*.dist-info/'
+ RPM_EC=0
++ jobs -p
+ exit 0
Wrote: /builddir/build/SRPMS/python-xbout-0.3.6-6.fc43.buildreqs.nosrc.rpm
INFO: Going to install missing dynamic buildrequires
Updating and loading repositories:
 Copr repository                        100% |  20.3 KiB/s |   1.5 KiB |  00m00s
 fedora                                 100% | 112.5 KiB/s |  28.2 KiB |  00m00s
 updates                                100% | 235.8 KiB/s |  31.1 KiB |  00m00s
Repositories loaded.
Package "pyproject-rpm-macros-1.18.3-2.fc43.noarch" is already installed.
Package "python3-boutdata-0.3.0-5.fc43.noarch" is already installed.
Package "python3-devel-3.14.0~rc2-1.fc43.x86_64" is already installed.
Package "python3-sphinx-autodoc-typehints-3.1.0-4.fc43.noarch" is already installed.
Package "python3-packaging-25.0-5.fc43.noarch" is already installed.
Package "python3-pytest-8.3.5-8.fc43.noarch" is already installed.
Package "python3-sphinx-1:8.2.3-10.fc43.noarch" is already installed.

Package                      Arch   Version          Repository      Size
Installing:
 python3-pip                 noarch 25.2-2.fc43      copr_base   11.3 MiB
 python3-setuptools          noarch 78.1.1-12.fc43   fedora       9.0 MiB
 python3-setuptools_scm      noarch 8.3.1-7.fc43     fedora     354.5 KiB
 python3-setuptools_scm+toml noarch 8.3.1-7.fc43     fedora       9.8 KiB
 python3-wheel               noarch 1:0.45.1-17.fc43 fedora     593.1 KiB

Transaction Summary:
 Installing:         5 packages

Total size of inbound packages is 5 MiB. Need to download 5 MiB.
After this operation, 21 MiB extra will be used (install 21 MiB, remove 0 B).
[1/5] python3-setuptools_scm-0:8.3.1-7. 100% |  11.9 MiB/s | 121.5 KiB |  00m00s
[2/5] python3-setuptools_scm+toml-0:8.3 100% | 884.0 KiB/s |   9.7 KiB |  00m00s
[3/5] python3-wheel-1:0.45.1-17.fc43.no 100% |  29.6 MiB/s | 182.1 KiB |  00m00s
[4/5] python3-setuptools-0:78.1.1-12.fc 100% | 108.1 MiB/s |   2.1 MiB |  00m00s
[5/5] python3-pip-0:25.2-2.fc43.noarch  100% |  21.2 MiB/s |   2.4 MiB |  00m00s
--------------------------------------------------------------------------------
[5/5] Total                             100% |  37.6 MiB/s |   4.8 MiB |  00m00s
Running transaction
[1/7] Verify package files              100% | 294.0   B/s |   5.0   B |  00m00s
[2/7] Prepare transaction               100% | 166.0   B/s |   5.0   B |  00m00s
[3/7] Installing python3-setuptools-0:7 100% | 242.6 MiB/s |   9.2 MiB |  00m00s
[4/7] Installing python3-setuptools_scm 100% | 121.9 MiB/s | 374.4 KiB |  00m00s
[5/7] Installing python3-setuptools_scm 100% |  60.5 KiB/s | 124.0   B |  00m00s
[6/7] Installing python3-pip-0:25.2-2.f 100% | 185.9 MiB/s |  11.5 MiB |  00m00s
[7/7] Installing python3-wheel-1:0.45.1 100% |  20.0 MiB/s | 613.1 KiB |  00m00s
Warning: skipped OpenPGP checks for 1 package from repository: copr_base
Complete!
Building target platforms: x86_64
Building for target x86_64
setting SOURCE_DATE_EPOCH=1753401600
Executing(%generate_buildrequires): /bin/sh -e /var/tmp/rpm-tmp.xM37yM
+ umask 022
+ cd /builddir/build/BUILD/python-xbout-0.3.6-build
+ cd xbout-0.3.6
+ echo pyproject-rpm-macros
+ echo python3-devel
+ echo 'python3dist(packaging)'
+ echo 'python3dist(pip) >= 19'
+ '[' -f pyproject.toml ']'
+ echo '(python3dist(tomli) if python3-devel < 3.11)'
+ rm -rfv '*.dist-info/'
+ '[' -f /usr/bin/python3 ']'
+ mkdir -p /builddir/build/BUILD/python-xbout-0.3.6-build/.pyproject-builddir
+ echo -n
+ 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 -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer  '
+ 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 -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer  '
+ 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 -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules  '
+ 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 -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules  '
+ VALAFLAGS=-g
+ RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes --cap-lints=warn'
+ 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-hardened-ld-errors -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -Wl,--build-id=sha1   '
+ LT_SYS_LIBRARY_PATH=/usr/lib64:
+ CC=gcc
+ CXX=g++
+ TMPDIR=/builddir/build/BUILD/python-xbout-0.3.6-build/.pyproject-builddir
+ RPM_TOXENV=py314
+ FEDORA=43
+ HOSTNAME=rpmbuild
+ /usr/bin/python3 -Bs /usr/lib/rpm/redhat/pyproject_buildrequires.py --generate-extras --python3_pkgversion 3 --wheeldir /builddir/build/BUILD/python-xbout-0.3.6-build/pyproject-wheeldir --output /builddir/build/BUILD/python-xbout-0.3.6-build/python-xbout-0.3.6-6.fc43.x86_64-pyproject-buildrequires -r
Handling setuptools >= 65 from build-system.requires
Requirement satisfied: setuptools >= 65
   (installed: setuptools 78.1.1)
Handling setuptools_scm[toml] >= 7 from build-system.requires
Requirement satisfied: setuptools_scm[toml] >= 7
   (installed: setuptools_scm 8.3.1)
   (extras are currently not checked)
Handling wheel >= 0.29.0 from build-system.requires
Requirement satisfied: wheel >= 0.29.0
   (installed: wheel 0.45.1)
/usr/lib/python3.14/site-packages/setuptools_scm/git.py:310: UserWarning: git archive did not support describe output
  warnings.warn("git archive did not support describe output")
/usr/lib/python3.14/site-packages/setuptools/config/_apply_pyprojecttoml.py:82: SetuptoolsDeprecationWarning: `project.license` as a TOML table is deprecated
!!

        ********************************************************************************
        Please use a simple string containing a SPDX expression for `project.license`. You can also use `project.license-files`. (Both options available on setuptools>=77.0.0).

        By 2026-Feb-18, you need to update your project and remove deprecated calls
        or your builds will no longer be supported.

        See https://packaging.python.org/en/latest/guides/writing-pyproject-toml/#license for details.
        ********************************************************************************

!!
  corresp(dist, value, root_dir)
/usr/lib/python3.14/site-packages/setuptools/config/_apply_pyprojecttoml.py:61: SetuptoolsDeprecationWarning: License classifiers are deprecated.
!!

        ********************************************************************************
        Please consider removing the following classifiers in favor of a SPDX license expression:

        License :: OSI Approved :: Apache Software License

        See https://packaging.python.org/en/latest/guides/writing-pyproject-toml/#license for details.
        ********************************************************************************

!!
  dist._finalize_license_expression()
/usr/lib/python3.14/site-packages/setuptools/dist.py:759: SetuptoolsDeprecationWarning: License classifiers are deprecated.
!!

        ********************************************************************************
        Please consider removing the following classifiers in favor of a SPDX license expression:

        License :: OSI Approved :: Apache Software License

        See https://packaging.python.org/en/latest/guides/writing-pyproject-toml/#license for details.
        ********************************************************************************

!!
  self._finalize_license_expression()
running egg_info
creating xbout.egg-info
writing xbout.egg-info/PKG-INFO
writing dependency_links to xbout.egg-info/dependency_links.txt
writing requirements to xbout.egg-info/requires.txt
writing top-level names to xbout.egg-info/top_level.txt
writing manifest file 'xbout.egg-info/SOURCES.txt'
WARNING setuptools_scm._file_finders.git git archive detected - fallback to listing all files
adding license file 'LICENSE'
writing manifest file 'xbout.egg-info/SOURCES.txt'
/usr/lib/python3.14/site-packages/setuptools_scm/git.py:310: UserWarning: git archive did not support describe output
  warnings.warn("git archive did not support describe output")
/usr/lib/python3.14/site-packages/setuptools/config/_apply_pyprojecttoml.py:82: SetuptoolsDeprecationWarning: `project.license` as a TOML table is deprecated
!!

        ********************************************************************************
        Please use a simple string containing a SPDX expression for `project.license`. You can also use `project.license-files`. (Both options available on setuptools>=77.0.0).

        By 2026-Feb-18, you need to update your project and remove deprecated calls
        or your builds will no longer be supported.

        See https://packaging.python.org/en/latest/guides/writing-pyproject-toml/#license for details.
        ********************************************************************************

!!
  corresp(dist, value, root_dir)
/usr/lib/python3.14/site-packages/setuptools/config/_apply_pyprojecttoml.py:61: SetuptoolsDeprecationWarning: License classifiers are deprecated.
!!

        ********************************************************************************
        Please consider removing the following classifiers in favor of a SPDX license expression:

        License :: OSI Approved :: Apache Software License

        See https://packaging.python.org/en/latest/guides/writing-pyproject-toml/#license for details.
        ********************************************************************************

!!
  dist._finalize_license_expression()
/usr/lib/python3.14/site-packages/setuptools/dist.py:759: SetuptoolsDeprecationWarning: License classifiers are deprecated.
!!

        ********************************************************************************
        Please consider removing the following classifiers in favor of a SPDX license expression:

        License :: OSI Approved :: Apache Software License

        See https://packaging.python.org/en/latest/guides/writing-pyproject-toml/#license for details.
        ********************************************************************************

!!
  self._finalize_license_expression()
running dist_info
writing xbout.egg-info/PKG-INFO
writing dependency_links to xbout.egg-info/dependency_links.txt
writing requirements to xbout.egg-info/requires.txt
writing top-level names to xbout.egg-info/top_level.txt
WARNING setuptools_scm._file_finders.git git archive detected - fallback to listing all files
adding license file 'LICENSE'
writing manifest file 'xbout.egg-info/SOURCES.txt'
creating '/builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/xbout-0.3.6.dist-info'
Handling xarray>=0.18.0 from hook generated metadata: Requires-Dist (xbout)
Requirement not satisfied: xarray>=0.18.0
Handling boutdata>=0.1.4 from hook generated metadata: Requires-Dist (xbout)
Requirement satisfied: boutdata>=0.1.4
   (installed: boutdata 0.3.0)
Handling dask[array]>=2.10.0 from hook generated metadata: Requires-Dist (xbout)
Requirement not satisfied: dask[array]>=2.10.0
Handling gelidum>=0.5.3 from hook generated metadata: Requires-Dist (xbout)
Requirement not satisfied: gelidum>=0.5.3
Handling natsort>=5.5.0 from hook generated metadata: Requires-Dist (xbout)
Requirement satisfied: natsort>=5.5.0
   (installed: natsort 8.4.0)
Handling matplotlib!=3.3.0,!=3.3.1,!=3.3.2,>=3.1.1 from hook generated metadata: Requires-Dist (xbout)
Requirement satisfied: matplotlib!=3.3.0,!=3.3.1,!=3.3.2,>=3.1.1
   (installed: matplotlib 3.10.5)
Handling animatplot-ng>=0.4.2 from hook generated metadata: Requires-Dist (xbout)
Requirement not satisfied: animatplot-ng>=0.4.2
Handling netcdf4>=1.4.0 from hook generated metadata: Requires-Dist (xbout)
Requirement satisfied: netcdf4>=1.4.0
   (installed: netcdf4 1.7.2)
Handling Pillow>=6.1.0 from hook generated metadata: Requires-Dist (xbout)
Requirement satisfied: Pillow>=6.1.0
   (installed: Pillow 11.3.0)
Handling numpy>=1.18.0; extra == "calc" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: numpy>=1.18.0; extra == "calc"
Handling scipy>=1.3.0; extra == "calc" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: scipy>=1.3.0; extra == "calc"
Handling dask>=2.2.0; extra == "calc" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: dask>=2.2.0; extra == "calc"
Handling statsmodels>=0.10.1; extra == "calc" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: statsmodels>=0.10.1; extra == "calc"
Handling xrft; extra == "calc" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: xrft; extra == "calc"
Handling xhistogram; extra == "calc" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: xhistogram; extra == "calc"
Handling sphinx>=5.3; extra == "docs" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: sphinx>=5.3; extra == "docs"
Handling sphinx-book-theme>=0.4.0rc1; extra == "docs" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: sphinx-book-theme>=0.4.0rc1; extra == "docs"
Handling sphinx_autodoc_typehints>=1.19; extra == "docs" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: sphinx_autodoc_typehints>=1.19; extra == "docs"
Handling k3d>=2.8.0; extra == "3d-plot" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: k3d>=2.8.0; extra == "3d-plot"
Handling mayavi>=4.7.2; extra == "3d-plot" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: mayavi>=4.7.2; extra == "3d-plot"
Handling wand; extra == "3d-plot" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: wand; extra == "3d-plot"
Handling pytest>=3.3.0; extra == "tests" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: pytest>=3.3.0; extra == "tests"
Handling pytest-cov; extra == "tests" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: pytest-cov; extra == "tests"
+ cat /builddir/build/BUILD/python-xbout-0.3.6-build/python-xbout-0.3.6-6.fc43.x86_64-pyproject-buildrequires
+ rm -rfv xbout-0.3.6.dist-info/
removed 'xbout-0.3.6.dist-info/licenses/LICENSE'
removed directory 'xbout-0.3.6.dist-info/licenses'
removed 'xbout-0.3.6.dist-info/METADATA'
removed 'xbout-0.3.6.dist-info/top_level.txt'
removed directory 'xbout-0.3.6.dist-info/'
+ RPM_EC=0
++ jobs -p
+ exit 0
Wrote: /builddir/build/SRPMS/python-xbout-0.3.6-6.fc43.buildreqs.nosrc.rpm
INFO: Going to install missing dynamic buildrequires
Updating and loading repositories:
 Copr repository                        100% |  22.7 KiB/s |   1.5 KiB |  00m00s
 fedora                                 100% |  61.0 KiB/s |  28.2 KiB |  00m00s
 updates                                100% |  91.0 KiB/s |  31.1 KiB |  00m00s
Repositories loaded.
Package "pyproject-rpm-macros-1.18.3-2.fc43.noarch" is already installed.
Package "python3-boutdata-0.3.0-5.fc43.noarch" is already installed.
Package "python3-devel-3.14.0~rc2-1.fc43.x86_64" is already installed.
Package "python3-sphinx-autodoc-typehints-3.1.0-4.fc43.noarch" is already installed.
Package "python3-boutdata-0.3.0-5.fc43.noarch" is already installed.
Package "python3-natsort-8.4.0-7.fc43.noarch" is already installed.
Package "python3-netcdf4-1.7.2-8.fc43.x86_64" is already installed.
Package "python3-packaging-25.0-5.fc43.noarch" is already installed.
Package "python3-pillow-11.3.0-4.fc43.x86_64" is already installed.
Package "python3-pip-25.2-2.fc43.noarch" is already installed.
Package "python3-pytest-8.3.5-8.fc43.noarch" is already installed.
Package "python3-setuptools-78.1.1-12.fc43.noarch" is already installed.
Package "python3-setuptools_scm-8.3.1-7.fc43.noarch" is already installed.
Package "python3-setuptools_scm+toml-8.3.1-7.fc43.noarch" is already installed.
Package "python3-sphinx-1:8.2.3-10.fc43.noarch" is already installed.
Package "python3-wheel-1:0.45.1-17.fc43.noarch" is already installed.

Package              Arch   Version                Repository      Size
Installing:
 python3-animatplot  noarch 0.4.4-4.fc43           fedora     116.4 KiB
 python3-dask        noarch 2025.4.1-5.fc43        fedora      20.5 MiB
 python3-dask+array  noarch 2025.4.1-5.fc43        fedora       6.8 KiB
 python3-gelidum     noarch 0.7.0-9.fc43           fedora     123.7 KiB
 python3-xarray      noarch 2025.4.0-2.fc43        fedora      20.0 MiB
Installing dependencies:
 libyaml             x86_64 0.2.5-17.fc43          fedora     134.6 KiB
 python3-click       noarch 8.2.2-2.fc43           fedora       1.2 MiB
 python3-cloudpickle noarch 3.1.1-6.fc43           fedora     129.3 KiB
 python3-fsspec      noarch 2025.7.0-1.fc43        fedora       1.9 MiB
 python3-locket      noarch 1.0.0-17.fc43          fedora      20.9 KiB
 python3-pandas      x86_64 2.2.3-5.fc43~bootstrap fedora      43.5 MiB
 python3-partd       noarch 1.4.2-7.fc43           fedora     166.8 KiB
 python3-pytz        noarch 2025.2-4.fc43          fedora     224.0 KiB
 python3-pyyaml      x86_64 6.0.2-6.fc43           copr_base  793.5 KiB
 python3-toolz       noarch 1.0.0-5.fc43           fedora     618.0 KiB

Transaction Summary:
 Installing:        15 packages

Total size of inbound packages is 17 MiB. Need to download 17 MiB.
After this operation, 89 MiB extra will be used (install 89 MiB, remove 0 B).
[ 1/15] python3-dask+array-0:2025.4.1-5 100% |   1.0 MiB/s |  12.3 KiB |  00m00s
[ 2/15] python3-dask-0:2025.4.1-5.fc43. 100% | 119.4 MiB/s |   3.7 MiB |  00m00s
[ 3/15] python3-xarray-0:2025.4.0-2.fc4 100% | 257.8 MiB/s |   3.1 MiB |  00m00s
[ 4/15] python3-click-0:8.2.2-2.fc43.no 100% | 127.1 MiB/s | 260.3 KiB |  00m00s
[ 5/15] python3-cloudpickle-0:3.1.1-6.f 100% |  47.0 MiB/s |  48.1 KiB |  00m00s
[ 6/15] python3-fsspec-0:2025.7.0-1.fc4 100% | 151.1 MiB/s | 464.1 KiB |  00m00s
[ 7/15] python3-partd-0:1.4.2-7.fc43.no 100% |  30.8 MiB/s |  63.1 KiB |  00m00s
[ 8/15] python3-toolz-0:1.0.0-5.fc43.no 100% |  56.6 MiB/s | 174.0 KiB |  00m00s
[ 9/15] python3-gelidum-0:0.7.0-9.fc43. 100% |   1.0 MiB/s |  57.1 KiB |  00m00s
[10/15] python3-locket-0:1.0.0-17.fc43. 100% |   8.9 MiB/s |  18.1 KiB |  00m00s
[11/15] python3-animatplot-0:0.4.4-4.fc 100% | 766.4 KiB/s |  56.7 KiB |  00m00s
[12/15] python3-pytz-0:2025.2-4.fc43.no 100% |  21.5 MiB/s |  66.1 KiB |  00m00s
[13/15] libyaml-0:0.2.5-17.fc43.x86_64  100% |  11.7 MiB/s |  60.1 KiB |  00m00s
[14/15] python3-pandas-0:2.2.3-5.fc43~b 100% | 284.9 MiB/s |   8.3 MiB |  00m00s
[15/15] python3-pyyaml-0:6.0.2-6.fc43.x 100% |   1.2 MiB/s | 225.8 KiB |  00m00s
--------------------------------------------------------------------------------
[15/15] Total                           100% |  63.6 MiB/s |  16.5 MiB |  00m00s
Running transaction
[ 1/17] Verify package files            100% | 272.0   B/s |  15.0   B |  00m00s
[ 2/17] Prepare transaction             100% | 319.0   B/s |  15.0   B |  00m00s
[ 3/17] Installing python3-toolz-0:1.0. 100% | 155.7 MiB/s | 637.6 KiB |  00m00s
[ 4/17] Installing libyaml-0:0.2.5-17.f 100% | 132.8 MiB/s | 136.0 KiB |  00m00s
[ 5/17] Installing python3-pyyaml-0:6.0 100% | 262.8 MiB/s | 807.4 KiB |  00m00s
[ 6/17] Installing python3-pytz-0:2025. 100% |  56.0 MiB/s | 229.4 KiB |  00m00s
[ 7/17] Installing python3-pandas-0:2.2 100% | 416.8 MiB/s |  43.8 MiB |  00m00s
[ 8/17] Installing python3-locket-0:1.0 100% |  22.9 MiB/s |  23.4 KiB |  00m00s
[ 9/17] Installing python3-partd-0:1.4. 100% |  86.0 MiB/s | 176.2 KiB |  00m00s
[10/17] Installing python3-fsspec-0:202 100% | 275.4 MiB/s |   1.9 MiB |  00m00s
[11/17] Installing python3-cloudpickle- 100% | 130.0 MiB/s | 133.2 KiB |  00m00s
[12/17] Installing python3-click-0:8.2. 100% | 199.8 MiB/s |   1.2 MiB |  00m00s
[13/17] Installing python3-dask-0:2025. 100% | 308.7 MiB/s |  20.7 MiB |  00m00s
[14/17] Installing python3-dask+array-0 100% | 121.1 KiB/s | 124.0   B |  00m00s
[15/17] Installing python3-xarray-0:202 100% | 446.2 MiB/s |  20.1 MiB |  00m00s
[16/17] Installing python3-gelidum-0:0. 100% |  66.2 MiB/s | 135.6 KiB |  00m00s
[17/17] Installing python3-animatplot-0 100% |   6.0 MiB/s | 127.9 KiB |  00m00s
Warning: skipped OpenPGP checks for 1 package from repository: copr_base
Complete!
Building target platforms: x86_64
Building for target x86_64
setting SOURCE_DATE_EPOCH=1753401600
Executing(%generate_buildrequires): /bin/sh -e /var/tmp/rpm-tmp.c1BAyZ
+ umask 022
+ cd /builddir/build/BUILD/python-xbout-0.3.6-build
+ cd xbout-0.3.6
+ echo pyproject-rpm-macros
+ echo python3-devel
+ echo 'python3dist(packaging)'
+ echo 'python3dist(pip) >= 19'
+ '[' -f pyproject.toml ']'
+ echo '(python3dist(tomli) if python3-devel < 3.11)'
+ rm -rfv '*.dist-info/'
+ '[' -f /usr/bin/python3 ']'
+ mkdir -p /builddir/build/BUILD/python-xbout-0.3.6-build/.pyproject-builddir
+ echo -n
+ 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 -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer  '
+ 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 -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer  '
+ 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 -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules  '
+ 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 -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules  '
+ VALAFLAGS=-g
+ RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes --cap-lints=warn'
+ 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-hardened-ld-errors -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -Wl,--build-id=sha1   '
+ LT_SYS_LIBRARY_PATH=/usr/lib64:
+ CC=gcc
+ CXX=g++
+ TMPDIR=/builddir/build/BUILD/python-xbout-0.3.6-build/.pyproject-builddir
+ RPM_TOXENV=py314
+ FEDORA=43
+ HOSTNAME=rpmbuild
+ /usr/bin/python3 -Bs /usr/lib/rpm/redhat/pyproject_buildrequires.py --generate-extras --python3_pkgversion 3 --wheeldir /builddir/build/BUILD/python-xbout-0.3.6-build/pyproject-wheeldir --output /builddir/build/BUILD/python-xbout-0.3.6-build/python-xbout-0.3.6-6.fc43.x86_64-pyproject-buildrequires -r
Handling setuptools >= 65 from build-system.requires
Requirement satisfied: setuptools >= 65
   (installed: setuptools 78.1.1)
Handling setuptools_scm[toml] >= 7 from build-system.requires
Requirement satisfied: setuptools_scm[toml] >= 7
   (installed: setuptools_scm 8.3.1)
   (extras are currently not checked)
Handling wheel >= 0.29.0 from build-system.requires
Requirement satisfied: wheel >= 0.29.0
   (installed: wheel 0.45.1)
/usr/lib/python3.14/site-packages/setuptools_scm/git.py:310: UserWarning: git archive did not support describe output
  warnings.warn("git archive did not support describe output")
/usr/lib/python3.14/site-packages/setuptools/config/_apply_pyprojecttoml.py:82: SetuptoolsDeprecationWarning: `project.license` as a TOML table is deprecated
!!

        ********************************************************************************
        Please use a simple string containing a SPDX expression for `project.license`. You can also use `project.license-files`. (Both options available on setuptools>=77.0.0).

        By 2026-Feb-18, you need to update your project and remove deprecated calls
        or your builds will no longer be supported.

        See https://packaging.python.org/en/latest/guides/writing-pyproject-toml/#license for details.
        ********************************************************************************

!!
  corresp(dist, value, root_dir)
/usr/lib/python3.14/site-packages/setuptools/config/_apply_pyprojecttoml.py:61: SetuptoolsDeprecationWarning: License classifiers are deprecated.
!!

        ********************************************************************************
        Please consider removing the following classifiers in favor of a SPDX license expression:

        License :: OSI Approved :: Apache Software License

        See https://packaging.python.org/en/latest/guides/writing-pyproject-toml/#license for details.
        ********************************************************************************

!!
  dist._finalize_license_expression()
/usr/lib/python3.14/site-packages/setuptools/dist.py:759: SetuptoolsDeprecationWarning: License classifiers are deprecated.
!!

        ********************************************************************************
        Please consider removing the following classifiers in favor of a SPDX license expression:

        License :: OSI Approved :: Apache Software License

        See https://packaging.python.org/en/latest/guides/writing-pyproject-toml/#license for details.
        ********************************************************************************

!!
  self._finalize_license_expression()
running egg_info
writing xbout.egg-info/PKG-INFO
writing dependency_links to xbout.egg-info/dependency_links.txt
writing requirements to xbout.egg-info/requires.txt
writing top-level names to xbout.egg-info/top_level.txt
WARNING setuptools_scm._file_finders.git git archive detected - fallback to listing all files
adding license file 'LICENSE'
writing manifest file 'xbout.egg-info/SOURCES.txt'
/usr/lib/python3.14/site-packages/setuptools_scm/git.py:310: UserWarning: git archive did not support describe output
  warnings.warn("git archive did not support describe output")
/usr/lib/python3.14/site-packages/setuptools/config/_apply_pyprojecttoml.py:82: SetuptoolsDeprecationWarning: `project.license` as a TOML table is deprecated
!!

        ********************************************************************************
        Please use a simple string containing a SPDX expression for `project.license`. You can also use `project.license-files`. (Both options available on setuptools>=77.0.0).

        By 2026-Feb-18, you need to update your project and remove deprecated calls
        or your builds will no longer be supported.

        See https://packaging.python.org/en/latest/guides/writing-pyproject-toml/#license for details.
        ********************************************************************************

!!
  corresp(dist, value, root_dir)
/usr/lib/python3.14/site-packages/setuptools/config/_apply_pyprojecttoml.py:61: SetuptoolsDeprecationWarning: License classifiers are deprecated.
!!

        ********************************************************************************
        Please consider removing the following classifiers in favor of a SPDX license expression:

        License :: OSI Approved :: Apache Software License

        See https://packaging.python.org/en/latest/guides/writing-pyproject-toml/#license for details.
        ********************************************************************************

!!
  dist._finalize_license_expression()
/usr/lib/python3.14/site-packages/setuptools/dist.py:759: SetuptoolsDeprecationWarning: License classifiers are deprecated.
!!

        ********************************************************************************
        Please consider removing the following classifiers in favor of a SPDX license expression:

        License :: OSI Approved :: Apache Software License

        See https://packaging.python.org/en/latest/guides/writing-pyproject-toml/#license for details.
        ********************************************************************************

!!
  self._finalize_license_expression()
running dist_info
writing xbout.egg-info/PKG-INFO
writing dependency_links to xbout.egg-info/dependency_links.txt
writing requirements to xbout.egg-info/requires.txt
writing top-level names to xbout.egg-info/top_level.txt
WARNING setuptools_scm._file_finders.git git archive detected - fallback to listing all files
adding license file 'LICENSE'
writing manifest file 'xbout.egg-info/SOURCES.txt'
creating '/builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/xbout-0.3.6.dist-info'
Handling xarray>=0.18.0 from hook generated metadata: Requires-Dist (xbout)
Requirement satisfied: xarray>=0.18.0
   (installed: xarray 2025.4.0)
Handling boutdata>=0.1.4 from hook generated metadata: Requires-Dist (xbout)
Requirement satisfied: boutdata>=0.1.4
   (installed: boutdata 0.3.0)
Handling dask[array]>=2.10.0 from hook generated metadata: Requires-Dist (xbout)
Requirement satisfied: dask[array]>=2.10.0
   (installed: dask 2025.4.1)
   (extras are currently not checked)
Handling gelidum>=0.5.3 from hook generated metadata: Requires-Dist (xbout)
Requirement satisfied: gelidum>=0.5.3
   (installed: gelidum 0.7.0)
Handling natsort>=5.5.0 from hook generated metadata: Requires-Dist (xbout)
Requirement satisfied: natsort>=5.5.0
   (installed: natsort 8.4.0)
Handling matplotlib!=3.3.0,!=3.3.1,!=3.3.2,>=3.1.1 from hook generated metadata: Requires-Dist (xbout)
Requirement satisfied: matplotlib!=3.3.0,!=3.3.1,!=3.3.2,>=3.1.1
   (installed: matplotlib 3.10.5)
Handling animatplot-ng>=0.4.2 from hook generated metadata: Requires-Dist (xbout)
Requirement satisfied: animatplot-ng>=0.4.2
   (installed: animatplot-ng 0.4.4)
Handling netcdf4>=1.4.0 from hook generated metadata: Requires-Dist (xbout)
Requirement satisfied: netcdf4>=1.4.0
   (installed: netcdf4 1.7.2)
Handling Pillow>=6.1.0 from hook generated metadata: Requires-Dist (xbout)
Requirement satisfied: Pillow>=6.1.0
   (installed: Pillow 11.3.0)
Handling numpy>=1.18.0; extra == "calc" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: numpy>=1.18.0; extra == "calc"
Handling scipy>=1.3.0; extra == "calc" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: scipy>=1.3.0; extra == "calc"
Handling dask>=2.2.0; extra == "calc" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: dask>=2.2.0; extra == "calc"
Handling statsmodels>=0.10.1; extra == "calc" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: statsmodels>=0.10.1; extra == "calc"
Handling xrft; extra == "calc" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: xrft; extra == "calc"
Handling xhistogram; extra == "calc" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: xhistogram; extra == "calc"
Handling sphinx>=5.3; extra == "docs" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: sphinx>=5.3; extra == "docs"
Handling sphinx-book-theme>=0.4.0rc1; extra == "docs" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: sphinx-book-theme>=0.4.0rc1; extra == "docs"
Handling sphinx_autodoc_typehints>=1.19; extra == "docs" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: sphinx_autodoc_typehints>=1.19; extra == "docs"
Handling k3d>=2.8.0; extra == "3d-plot" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: k3d>=2.8.0; extra == "3d-plot"
Handling mayavi>=4.7.2; extra == "3d-plot" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: mayavi>=4.7.2; extra == "3d-plot"
Handling wand; extra == "3d-plot" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: wand; extra == "3d-plot"
Handling pytest>=3.3.0; extra == "tests" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: pytest>=3.3.0; extra == "tests"
Handling pytest-cov; extra == "tests" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: pytest-cov; extra == "tests"
+ cat /builddir/build/BUILD/python-xbout-0.3.6-build/python-xbout-0.3.6-6.fc43.x86_64-pyproject-buildrequires
+ rm -rfv xbout-0.3.6.dist-info/
removed 'xbout-0.3.6.dist-info/licenses/LICENSE'
removed directory 'xbout-0.3.6.dist-info/licenses'
removed 'xbout-0.3.6.dist-info/METADATA'
removed 'xbout-0.3.6.dist-info/top_level.txt'
removed directory 'xbout-0.3.6.dist-info/'
+ RPM_EC=0
++ jobs -p
+ exit 0
Wrote: /builddir/build/SRPMS/python-xbout-0.3.6-6.fc43.buildreqs.nosrc.rpm
INFO: Going to install missing dynamic buildrequires
Updating and loading repositories:
 Copr repository                        100% |  23.0 KiB/s |   1.5 KiB |  00m00s
 fedora                                 100% | 107.0 KiB/s |  28.2 KiB |  00m00s
 updates                                100% | 151.1 KiB/s |  31.1 KiB |  00m00s
Repositories loaded.
Nothing to do.
Package "pyproject-rpm-macros-1.18.3-2.fc43.noarch" is already installed.
Package "python3-boutdata-0.3.0-5.fc43.noarch" is already installed.
Package "python3-devel-3.14.0~rc2-1.fc43.x86_64" is already installed.
Package "python3-sphinx-autodoc-typehints-3.1.0-4.fc43.noarch" is already installed.
Package "python3-animatplot-0.4.4-4.fc43.noarch" is already installed.
Package "python3-boutdata-0.3.0-5.fc43.noarch" is already installed.
Package "python3-dask-2025.4.1-5.fc43.noarch" is already installed.
Package "python3-dask+array-2025.4.1-5.fc43.noarch" is already installed.
Package "python3-gelidum-0.7.0-9.fc43.noarch" is already installed.
Package "python3-natsort-8.4.0-7.fc43.noarch" is already installed.
Package "python3-netcdf4-1.7.2-8.fc43.x86_64" is already installed.
Package "python3-packaging-25.0-5.fc43.noarch" is already installed.
Package "python3-pillow-11.3.0-4.fc43.x86_64" is already installed.
Package "python3-pip-25.2-2.fc43.noarch" is already installed.
Package "python3-pytest-8.3.5-8.fc43.noarch" is already installed.
Package "python3-setuptools-78.1.1-12.fc43.noarch" is already installed.
Package "python3-setuptools_scm-8.3.1-7.fc43.noarch" is already installed.
Package "python3-setuptools_scm+toml-8.3.1-7.fc43.noarch" is already installed.
Package "python3-sphinx-1:8.2.3-10.fc43.noarch" is already installed.
Package "python3-wheel-1:0.45.1-17.fc43.noarch" is already installed.
Package "python3-xarray-2025.4.0-2.fc43.noarch" is already installed.

Building target platforms: x86_64
Building for target x86_64
setting SOURCE_DATE_EPOCH=1753401600
Executing(%generate_buildrequires): /bin/sh -e /var/tmp/rpm-tmp.Pou4iD
+ umask 022
+ cd /builddir/build/BUILD/python-xbout-0.3.6-build
+ cd xbout-0.3.6
+ echo pyproject-rpm-macros
+ echo python3-devel
+ echo 'python3dist(packaging)'
+ echo 'python3dist(pip) >= 19'
+ '[' -f pyproject.toml ']'
+ echo '(python3dist(tomli) if python3-devel < 3.11)'
+ rm -rfv '*.dist-info/'
+ '[' -f /usr/bin/python3 ']'
+ mkdir -p /builddir/build/BUILD/python-xbout-0.3.6-build/.pyproject-builddir
+ echo -n
+ 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 -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer  '
+ 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 -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer  '
+ 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 -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules  '
+ 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 -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules  '
+ VALAFLAGS=-g
+ RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes --cap-lints=warn'
+ 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-hardened-ld-errors -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -Wl,--build-id=sha1   '
+ LT_SYS_LIBRARY_PATH=/usr/lib64:
+ CC=gcc
+ CXX=g++
+ TMPDIR=/builddir/build/BUILD/python-xbout-0.3.6-build/.pyproject-builddir
+ RPM_TOXENV=py314
+ FEDORA=43
+ HOSTNAME=rpmbuild
+ /usr/bin/python3 -Bs /usr/lib/rpm/redhat/pyproject_buildrequires.py --generate-extras --python3_pkgversion 3 --wheeldir /builddir/build/BUILD/python-xbout-0.3.6-build/pyproject-wheeldir --output /builddir/build/BUILD/python-xbout-0.3.6-build/python-xbout-0.3.6-6.fc43.x86_64-pyproject-buildrequires -r
Handling setuptools >= 65 from build-system.requires
Requirement satisfied: setuptools >= 65
   (installed: setuptools 78.1.1)
Handling setuptools_scm[toml] >= 7 from build-system.requires
Requirement satisfied: setuptools_scm[toml] >= 7
   (installed: setuptools_scm 8.3.1)
   (extras are currently not checked)
Handling wheel >= 0.29.0 from build-system.requires
Requirement satisfied: wheel >= 0.29.0
   (installed: wheel 0.45.1)
/usr/lib/python3.14/site-packages/setuptools_scm/git.py:310: UserWarning: git archive did not support describe output
  warnings.warn("git archive did not support describe output")
/usr/lib/python3.14/site-packages/setuptools/config/_apply_pyprojecttoml.py:82: SetuptoolsDeprecationWarning: `project.license` as a TOML table is deprecated
!!

        ********************************************************************************
        Please use a simple string containing a SPDX expression for `project.license`. You can also use `project.license-files`. (Both options available on setuptools>=77.0.0).

        By 2026-Feb-18, you need to update your project and remove deprecated calls
        or your builds will no longer be supported.

        See https://packaging.python.org/en/latest/guides/writing-pyproject-toml/#license for details.
        ********************************************************************************

!!
  corresp(dist, value, root_dir)
/usr/lib/python3.14/site-packages/setuptools/config/_apply_pyprojecttoml.py:61: SetuptoolsDeprecationWarning: License classifiers are deprecated.
!!

        ********************************************************************************
        Please consider removing the following classifiers in favor of a SPDX license expression:

        License :: OSI Approved :: Apache Software License

        See https://packaging.python.org/en/latest/guides/writing-pyproject-toml/#license for details.
        ********************************************************************************

!!
  dist._finalize_license_expression()
/usr/lib/python3.14/site-packages/setuptools/dist.py:759: SetuptoolsDeprecationWarning: License classifiers are deprecated.
!!

        ********************************************************************************
        Please consider removing the following classifiers in favor of a SPDX license expression:

        License :: OSI Approved :: Apache Software License

        See https://packaging.python.org/en/latest/guides/writing-pyproject-toml/#license for details.
        ********************************************************************************

!!
  self._finalize_license_expression()
running egg_info
writing xbout.egg-info/PKG-INFO
writing dependency_links to xbout.egg-info/dependency_links.txt
writing requirements to xbout.egg-info/requires.txt
writing top-level names to xbout.egg-info/top_level.txt
WARNING setuptools_scm._file_finders.git git archive detected - fallback to listing all files
adding license file 'LICENSE'
writing manifest file 'xbout.egg-info/SOURCES.txt'
/usr/lib/python3.14/site-packages/setuptools_scm/git.py:310: UserWarning: git archive did not support describe output
  warnings.warn("git archive did not support describe output")
/usr/lib/python3.14/site-packages/setuptools/config/_apply_pyprojecttoml.py:82: SetuptoolsDeprecationWarning: `project.license` as a TOML table is deprecated
!!

        ********************************************************************************
        Please use a simple string containing a SPDX expression for `project.license`. You can also use `project.license-files`. (Both options available on setuptools>=77.0.0).

        By 2026-Feb-18, you need to update your project and remove deprecated calls
        or your builds will no longer be supported.

        See https://packaging.python.org/en/latest/guides/writing-pyproject-toml/#license for details.
        ********************************************************************************

!!
  corresp(dist, value, root_dir)
/usr/lib/python3.14/site-packages/setuptools/config/_apply_pyprojecttoml.py:61: SetuptoolsDeprecationWarning: License classifiers are deprecated.
!!

        ********************************************************************************
        Please consider removing the following classifiers in favor of a SPDX license expression:

        License :: OSI Approved :: Apache Software License

        See https://packaging.python.org/en/latest/guides/writing-pyproject-toml/#license for details.
        ********************************************************************************

!!
  dist._finalize_license_expression()
/usr/lib/python3.14/site-packages/setuptools/dist.py:759: SetuptoolsDeprecationWarning: License classifiers are deprecated.
!!

        ********************************************************************************
        Please consider removing the following classifiers in favor of a SPDX license expression:

        License :: OSI Approved :: Apache Software License

        See https://packaging.python.org/en/latest/guides/writing-pyproject-toml/#license for details.
        ********************************************************************************

!!
  self._finalize_license_expression()
running dist_info
writing xbout.egg-info/PKG-INFO
writing dependency_links to xbout.egg-info/dependency_links.txt
writing requirements to xbout.egg-info/requires.txt
writing top-level names to xbout.egg-info/top_level.txt
WARNING setuptools_scm._file_finders.git git archive detected - fallback to listing all files
adding license file 'LICENSE'
writing manifest file 'xbout.egg-info/SOURCES.txt'
creating '/builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/xbout-0.3.6.dist-info'
Handling xarray>=0.18.0 from hook generated metadata: Requires-Dist (xbout)
Requirement satisfied: xarray>=0.18.0
   (installed: xarray 2025.4.0)
Handling boutdata>=0.1.4 from hook generated metadata: Requires-Dist (xbout)
Requirement satisfied: boutdata>=0.1.4
   (installed: boutdata 0.3.0)
Handling dask[array]>=2.10.0 from hook generated metadata: Requires-Dist (xbout)
Requirement satisfied: dask[array]>=2.10.0
   (installed: dask 2025.4.1)
   (extras are currently not checked)
Handling gelidum>=0.5.3 from hook generated metadata: Requires-Dist (xbout)
Requirement satisfied: gelidum>=0.5.3
   (installed: gelidum 0.7.0)
Handling natsort>=5.5.0 from hook generated metadata: Requires-Dist (xbout)
Requirement satisfied: natsort>=5.5.0
   (installed: natsort 8.4.0)
Handling matplotlib!=3.3.0,!=3.3.1,!=3.3.2,>=3.1.1 from hook generated metadata: Requires-Dist (xbout)
Requirement satisfied: matplotlib!=3.3.0,!=3.3.1,!=3.3.2,>=3.1.1
   (installed: matplotlib 3.10.5)
Handling animatplot-ng>=0.4.2 from hook generated metadata: Requires-Dist (xbout)
Requirement satisfied: animatplot-ng>=0.4.2
   (installed: animatplot-ng 0.4.4)
Handling netcdf4>=1.4.0 from hook generated metadata: Requires-Dist (xbout)
Requirement satisfied: netcdf4>=1.4.0
   (installed: netcdf4 1.7.2)
Handling Pillow>=6.1.0 from hook generated metadata: Requires-Dist (xbout)
Requirement satisfied: Pillow>=6.1.0
   (installed: Pillow 11.3.0)
Handling numpy>=1.18.0; extra == "calc" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: numpy>=1.18.0; extra == "calc"
Handling scipy>=1.3.0; extra == "calc" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: scipy>=1.3.0; extra == "calc"
Handling dask>=2.2.0; extra == "calc" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: dask>=2.2.0; extra == "calc"
Handling statsmodels>=0.10.1; extra == "calc" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: statsmodels>=0.10.1; extra == "calc"
Handling xrft; extra == "calc" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: xrft; extra == "calc"
Handling xhistogram; extra == "calc" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: xhistogram; extra == "calc"
Handling sphinx>=5.3; extra == "docs" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: sphinx>=5.3; extra == "docs"
Handling sphinx-book-theme>=0.4.0rc1; extra == "docs" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: sphinx-book-theme>=0.4.0rc1; extra == "docs"
Handling sphinx_autodoc_typehints>=1.19; extra == "docs" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: sphinx_autodoc_typehints>=1.19; extra == "docs"
Handling k3d>=2.8.0; extra == "3d-plot" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: k3d>=2.8.0; extra == "3d-plot"
Handling mayavi>=4.7.2; extra == "3d-plot" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: mayavi>=4.7.2; extra == "3d-plot"
Handling wand; extra == "3d-plot" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: wand; extra == "3d-plot"
Handling pytest>=3.3.0; extra == "tests" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: pytest>=3.3.0; extra == "tests"
Handling pytest-cov; extra == "tests" from hook generated metadata: Requires-Dist (xbout)
Ignoring alien requirement: pytest-cov; extra == "tests"
+ cat /builddir/build/BUILD/python-xbout-0.3.6-build/python-xbout-0.3.6-6.fc43.x86_64-pyproject-buildrequires
+ rm -rfv xbout-0.3.6.dist-info/
removed 'xbout-0.3.6.dist-info/licenses/LICENSE'
removed directory 'xbout-0.3.6.dist-info/licenses'
removed 'xbout-0.3.6.dist-info/METADATA'
removed 'xbout-0.3.6.dist-info/top_level.txt'
removed directory 'xbout-0.3.6.dist-info/'
+ RPM_EC=0
++ jobs -p
+ exit 0
Executing(%build): /bin/sh -e /var/tmp/rpm-tmp.moAPDb
+ umask 022
+ cd /builddir/build/BUILD/python-xbout-0.3.6-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 -mtls-dialect=gnu2 -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 -mtls-dialect=gnu2 -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 -mtls-dialect=gnu2 -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 -mtls-dialect=gnu2 -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-hardened-ld-errors -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 xbout-0.3.6
+ mkdir -p /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/.pyproject-builddir
+ 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 -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer  '
+ 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 -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer  '
+ 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 -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules  '
+ 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 -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules  '
+ VALAFLAGS=-g
+ 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'
+ 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-hardened-ld-errors -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes  '
+ LT_SYS_LIBRARY_PATH=/usr/lib64:
+ CC=gcc
+ CXX=g++
+ TMPDIR=/builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/.pyproject-builddir
+ /usr/bin/python3 -Bs /usr/lib/rpm/redhat/pyproject_wheel.py /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/pyproject-wheeldir
Processing /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6
  Preparing metadata (pyproject.toml): started
  Running command Preparing metadata (pyproject.toml)
  /usr/lib/python3.14/site-packages/setuptools_scm/git.py:310: UserWarning: git archive did not support describe output
    warnings.warn("git archive did not support describe output")
  /usr/lib/python3.14/site-packages/setuptools/config/_apply_pyprojecttoml.py:82: SetuptoolsDeprecationWarning: `project.license` as a TOML table is deprecated
  !!

          ********************************************************************************
          Please use a simple string containing a SPDX expression for `project.license`. You can also use `project.license-files`. (Both options available on setuptools>=77.0.0).

          By 2026-Feb-18, you need to update your project and remove deprecated calls
          or your builds will no longer be supported.

          See https://packaging.python.org/en/latest/guides/writing-pyproject-toml/#license for details.
          ********************************************************************************

  !!
    corresp(dist, value, root_dir)
  /usr/lib/python3.14/site-packages/setuptools/config/_apply_pyprojecttoml.py:61: SetuptoolsDeprecationWarning: License classifiers are deprecated.
  !!

          ********************************************************************************
          Please consider removing the following classifiers in favor of a SPDX license expression:

          License :: OSI Approved :: Apache Software License

          See https://packaging.python.org/en/latest/guides/writing-pyproject-toml/#license for details.
          ********************************************************************************

  !!
    dist._finalize_license_expression()
  /usr/lib/python3.14/site-packages/setuptools/dist.py:759: SetuptoolsDeprecationWarning: License classifiers are deprecated.
  !!

          ********************************************************************************
          Please consider removing the following classifiers in favor of a SPDX license expression:

          License :: OSI Approved :: Apache Software License

          See https://packaging.python.org/en/latest/guides/writing-pyproject-toml/#license for details.
          ********************************************************************************

  !!
    self._finalize_license_expression()
  running dist_info
  creating /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/.pyproject-builddir/pip-modern-metadata-tp64j3rg/xbout.egg-info
  writing /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/.pyproject-builddir/pip-modern-metadata-tp64j3rg/xbout.egg-info/PKG-INFO
  writing dependency_links to /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/.pyproject-builddir/pip-modern-metadata-tp64j3rg/xbout.egg-info/dependency_links.txt
  writing requirements to /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/.pyproject-builddir/pip-modern-metadata-tp64j3rg/xbout.egg-info/requires.txt
  writing top-level names to /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/.pyproject-builddir/pip-modern-metadata-tp64j3rg/xbout.egg-info/top_level.txt
  writing manifest file '/builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/.pyproject-builddir/pip-modern-metadata-tp64j3rg/xbout.egg-info/SOURCES.txt'
  WARNING setuptools_scm._file_finders.git git archive detected - fallback to listing all files
  adding license file 'LICENSE'
  writing manifest file '/builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/.pyproject-builddir/pip-modern-metadata-tp64j3rg/xbout.egg-info/SOURCES.txt'
  creating '/builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/.pyproject-builddir/pip-modern-metadata-tp64j3rg/xbout-0.3.6.dist-info'
  Preparing metadata (pyproject.toml): finished with status 'done'
Building wheels for collected packages: xbout
  Building wheel for xbout (pyproject.toml): started
  Running command Building wheel for xbout (pyproject.toml)
  /usr/lib/python3.14/site-packages/setuptools_scm/git.py:310: UserWarning: git archive did not support describe output
    warnings.warn("git archive did not support describe output")
  /usr/lib/python3.14/site-packages/setuptools/config/_apply_pyprojecttoml.py:82: SetuptoolsDeprecationWarning: `project.license` as a TOML table is deprecated
  !!

          ********************************************************************************
          Please use a simple string containing a SPDX expression for `project.license`. You can also use `project.license-files`. (Both options available on setuptools>=77.0.0).

          By 2026-Feb-18, you need to update your project and remove deprecated calls
          or your builds will no longer be supported.

          See https://packaging.python.org/en/latest/guides/writing-pyproject-toml/#license for details.
          ********************************************************************************

  !!
    corresp(dist, value, root_dir)
  /usr/lib/python3.14/site-packages/setuptools/config/_apply_pyprojecttoml.py:61: SetuptoolsDeprecationWarning: License classifiers are deprecated.
  !!

          ********************************************************************************
          Please consider removing the following classifiers in favor of a SPDX license expression:

          License :: OSI Approved :: Apache Software License

          See https://packaging.python.org/en/latest/guides/writing-pyproject-toml/#license for details.
          ********************************************************************************

  !!
    dist._finalize_license_expression()
  /usr/lib/python3.14/site-packages/setuptools/dist.py:759: SetuptoolsDeprecationWarning: License classifiers are deprecated.
  !!

          ********************************************************************************
          Please consider removing the following classifiers in favor of a SPDX license expression:

          License :: OSI Approved :: Apache Software License

          See https://packaging.python.org/en/latest/guides/writing-pyproject-toml/#license for details.
          ********************************************************************************

  !!
    self._finalize_license_expression()
  running bdist_wheel
  running build
  running build_py
  creating build/lib/xbout
  copying xbout/utils.py -> build/lib/xbout
  copying xbout/region.py -> build/lib/xbout
  copying xbout/load.py -> build/lib/xbout
  copying xbout/geometries.py -> build/lib/xbout
  copying xbout/fastoutput.py -> build/lib/xbout
  copying xbout/conftest.py -> build/lib/xbout
  copying xbout/boutdataset.py -> build/lib/xbout
  copying xbout/boutdataarray.py -> build/lib/xbout
  copying xbout/_version.py -> build/lib/xbout
  copying xbout/__init__.py -> build/lib/xbout
  creating build/lib/xbout/calc
  copying xbout/calc/turbulence.py -> build/lib/xbout/calc
  copying xbout/calc/__init__.py -> build/lib/xbout/calc
  creating build/lib/xbout/plotting
  copying xbout/plotting/utils.py -> build/lib/xbout/plotting
  copying xbout/plotting/plotfuncs.py -> build/lib/xbout/plotting
  copying xbout/plotting/animate.py -> build/lib/xbout/plotting
  copying xbout/plotting/__init__.py -> build/lib/xbout/plotting
  running egg_info
  writing xbout.egg-info/PKG-INFO
  writing dependency_links to xbout.egg-info/dependency_links.txt
  writing requirements to xbout.egg-info/requires.txt
  writing top-level names to xbout.egg-info/top_level.txt
  WARNING setuptools_scm._file_finders.git git archive detected - fallback to listing all files
  adding license file 'LICENSE'
  writing manifest file 'xbout.egg-info/SOURCES.txt'
  /usr/lib/python3.14/site-packages/setuptools/command/build_py.py:212: _Warning: Package 'xbout.calc.tests' is absent from the `packages` configuration.
  !!

          ********************************************************************************
          ############################
          # Package would be ignored #
          ############################
          Python recognizes 'xbout.calc.tests' as an importable package[^1],
          but it is absent from setuptools' `packages` configuration.

          This leads to an ambiguous overall configuration. If you want to distribute this
          package, please make sure that 'xbout.calc.tests' is explicitly added
          to the `packages` configuration field.

          Alternatively, you can also rely on setuptools' discovery methods
          (for example by using `find_namespace_packages(...)`/`find_namespace:`
          instead of `find_packages(...)`/`find:`).

          You can read more about "package discovery" on setuptools documentation page:

          - https://setuptools.pypa.io/en/latest/userguide/package_discovery.html

          If you don't want 'xbout.calc.tests' to be distributed and are
          already explicitly excluding 'xbout.calc.tests' via
          `find_namespace_packages(...)/find_namespace` or `find_packages(...)/find`,
          you can try to use `exclude_package_data`, or `include-package-data=False` in
          combination with a more fine grained `package-data` configuration.

          You can read more about "package data files" on setuptools documentation page:

          - https://setuptools.pypa.io/en/latest/userguide/datafiles.html


          [^1]: For Python, any directory (with suitable naming) can be imported,
                even if it does not contain any `.py` files.
                On the other hand, currently there is no concept of package data
                directory, all directories are treated like packages.
          ********************************************************************************

  !!
    check.warn(importable)
  /usr/lib/python3.14/site-packages/setuptools/command/build_py.py:212: _Warning: Package 'xbout.tests' is absent from the `packages` configuration.
  !!

          ********************************************************************************
          ############################
          # Package would be ignored #
          ############################
          Python recognizes 'xbout.tests' as an importable package[^1],
          but it is absent from setuptools' `packages` configuration.

          This leads to an ambiguous overall configuration. If you want to distribute this
          package, please make sure that 'xbout.tests' is explicitly added
          to the `packages` configuration field.

          Alternatively, you can also rely on setuptools' discovery methods
          (for example by using `find_namespace_packages(...)`/`find_namespace:`
          instead of `find_packages(...)`/`find:`).

          You can read more about "package discovery" on setuptools documentation page:

          - https://setuptools.pypa.io/en/latest/userguide/package_discovery.html

          If you don't want 'xbout.tests' to be distributed and are
          already explicitly excluding 'xbout.tests' via
          `find_namespace_packages(...)/find_namespace` or `find_packages(...)/find`,
          you can try to use `exclude_package_data`, or `include-package-data=False` in
          combination with a more fine grained `package-data` configuration.

          You can read more about "package data files" on setuptools documentation page:

          - https://setuptools.pypa.io/en/latest/userguide/datafiles.html


          [^1]: For Python, any directory (with suitable naming) can be imported,
                even if it does not contain any `.py` files.
                On the other hand, currently there is no concept of package data
                directory, all directories are treated like packages.
          ********************************************************************************

  !!
    check.warn(importable)
  /usr/lib/python3.14/site-packages/setuptools/command/build_py.py:212: _Warning: Package 'xbout.tests.data.options' is absent from the `packages` configuration.
  !!

          ********************************************************************************
          ############################
          # Package would be ignored #
          ############################
          Python recognizes 'xbout.tests.data.options' as an importable package[^1],
          but it is absent from setuptools' `packages` configuration.

          This leads to an ambiguous overall configuration. If you want to distribute this
          package, please make sure that 'xbout.tests.data.options' is explicitly added
          to the `packages` configuration field.

          Alternatively, you can also rely on setuptools' discovery methods
          (for example by using `find_namespace_packages(...)`/`find_namespace:`
          instead of `find_packages(...)`/`find:`).

          You can read more about "package discovery" on setuptools documentation page:

          - https://setuptools.pypa.io/en/latest/userguide/package_discovery.html

          If you don't want 'xbout.tests.data.options' to be distributed and are
          already explicitly excluding 'xbout.tests.data.options' via
          `find_namespace_packages(...)/find_namespace` or `find_packages(...)/find`,
          you can try to use `exclude_package_data`, or `include-package-data=False` in
          combination with a more fine grained `package-data` configuration.

          You can read more about "package data files" on setuptools documentation page:

          - https://setuptools.pypa.io/en/latest/userguide/datafiles.html


          [^1]: For Python, any directory (with suitable naming) can be imported,
                even if it does not contain any `.py` files.
                On the other hand, currently there is no concept of package data
                directory, all directories are treated like packages.
          ********************************************************************************

  !!
    check.warn(importable)
  /usr/lib/python3.14/site-packages/setuptools/command/build_py.py:212: _Warning: Package 'xbout.tests.data.restart' is absent from the `packages` configuration.
  !!

          ********************************************************************************
          ############################
          # Package would be ignored #
          ############################
          Python recognizes 'xbout.tests.data.restart' as an importable package[^1],
          but it is absent from setuptools' `packages` configuration.

          This leads to an ambiguous overall configuration. If you want to distribute this
          package, please make sure that 'xbout.tests.data.restart' is explicitly added
          to the `packages` configuration field.

          Alternatively, you can also rely on setuptools' discovery methods
          (for example by using `find_namespace_packages(...)`/`find_namespace:`
          instead of `find_packages(...)`/`find:`).

          You can read more about "package discovery" on setuptools documentation page:

          - https://setuptools.pypa.io/en/latest/userguide/package_discovery.html

          If you don't want 'xbout.tests.data.restart' to be distributed and are
          already explicitly excluding 'xbout.tests.data.restart' via
          `find_namespace_packages(...)/find_namespace` or `find_packages(...)/find`,
          you can try to use `exclude_package_data`, or `include-package-data=False` in
          combination with a more fine grained `package-data` configuration.

          You can read more about "package data files" on setuptools documentation page:

          - https://setuptools.pypa.io/en/latest/userguide/datafiles.html


          [^1]: For Python, any directory (with suitable naming) can be imported,
                even if it does not contain any `.py` files.
                On the other hand, currently there is no concept of package data
                directory, all directories are treated like packages.
          ********************************************************************************

  !!
    check.warn(importable)
  /usr/lib/python3.14/site-packages/setuptools/command/build_py.py:212: _Warning: Package 'xbout.tests.inputs' is absent from the `packages` configuration.
  !!

          ********************************************************************************
          ############################
          # Package would be ignored #
          ############################
          Python recognizes 'xbout.tests.inputs' as an importable package[^1],
          but it is absent from setuptools' `packages` configuration.

          This leads to an ambiguous overall configuration. If you want to distribute this
          package, please make sure that 'xbout.tests.inputs' is explicitly added
          to the `packages` configuration field.

          Alternatively, you can also rely on setuptools' discovery methods
          (for example by using `find_namespace_packages(...)`/`find_namespace:`
          instead of `find_packages(...)`/`find:`).

          You can read more about "package discovery" on setuptools documentation page:

          - https://setuptools.pypa.io/en/latest/userguide/package_discovery.html

          If you don't want 'xbout.tests.inputs' to be distributed and are
          already explicitly excluding 'xbout.tests.inputs' via
          `find_namespace_packages(...)/find_namespace` or `find_packages(...)/find`,
          you can try to use `exclude_package_data`, or `include-package-data=False` in
          combination with a more fine grained `package-data` configuration.

          You can read more about "package data files" on setuptools documentation page:

          - https://setuptools.pypa.io/en/latest/userguide/datafiles.html


          [^1]: For Python, any directory (with suitable naming) can be imported,
                even if it does not contain any `.py` files.
                On the other hand, currently there is no concept of package data
                directory, all directories are treated like packages.
          ********************************************************************************

  !!
    check.warn(importable)
  creating build/lib/xbout/tests
  copying xbout/tests/__init__.py -> build/lib/xbout/tests
  copying xbout/tests/conftest.py -> build/lib/xbout/tests
  copying xbout/tests/test_against_collect.py -> build/lib/xbout/tests
  copying xbout/tests/test_animate.py -> build/lib/xbout/tests
  copying xbout/tests/test_boutdataarray.py -> build/lib/xbout/tests
  copying xbout/tests/test_boutdataset.py -> build/lib/xbout/tests
  copying xbout/tests/test_fastoutput.py -> build/lib/xbout/tests
  copying xbout/tests/test_geometries.py -> build/lib/xbout/tests
  copying xbout/tests/test_grid.py -> build/lib/xbout/tests
  copying xbout/tests/test_init.py -> build/lib/xbout/tests
  copying xbout/tests/test_load.py -> build/lib/xbout/tests
  copying xbout/tests/test_plot.py -> build/lib/xbout/tests
  copying xbout/tests/test_region.py -> build/lib/xbout/tests
  copying xbout/tests/test_utils.py -> build/lib/xbout/tests
  copying xbout/tests/utils_for_tests.py -> build/lib/xbout/tests
  creating build/lib/xbout/tests/data/options
  copying xbout/tests/data/options/BOUT.inp -> build/lib/xbout/tests/data/options
  creating build/lib/xbout/tests/data/restart
  copying xbout/tests/data/restart/BOUT.restart.0.nc -> build/lib/xbout/tests/data/restart
  copying xbout/tests/data/restart/BOUT.restart.1.nc -> build/lib/xbout/tests/data/restart
  copying xbout/tests/data/restart/README.md -> build/lib/xbout/tests/data/restart
  creating build/lib/xbout/tests/inputs
  copying xbout/tests/inputs/s-alpha.inp -> build/lib/xbout/tests/inputs
  creating build/lib/xbout/calc/tests
  copying xbout/calc/tests/test_turbulence.py -> build/lib/xbout/calc/tests
  installing to build/bdist.linux-x86_64/wheel
  running install
  running install_lib
  creating build/bdist.linux-x86_64/wheel
  creating build/bdist.linux-x86_64/wheel/xbout
  creating build/bdist.linux-x86_64/wheel/xbout/tests
  creating build/bdist.linux-x86_64/wheel/xbout/tests/inputs
  copying build/lib/xbout/tests/inputs/s-alpha.inp -> build/bdist.linux-x86_64/wheel/./xbout/tests/inputs
  creating build/bdist.linux-x86_64/wheel/xbout/tests/data
  creating build/bdist.linux-x86_64/wheel/xbout/tests/data/restart
  copying build/lib/xbout/tests/data/restart/README.md -> build/bdist.linux-x86_64/wheel/./xbout/tests/data/restart
  copying build/lib/xbout/tests/data/restart/BOUT.restart.1.nc -> build/bdist.linux-x86_64/wheel/./xbout/tests/data/restart
  copying build/lib/xbout/tests/data/restart/BOUT.restart.0.nc -> build/bdist.linux-x86_64/wheel/./xbout/tests/data/restart
  creating build/bdist.linux-x86_64/wheel/xbout/tests/data/options
  copying build/lib/xbout/tests/data/options/BOUT.inp -> build/bdist.linux-x86_64/wheel/./xbout/tests/data/options
  copying build/lib/xbout/tests/utils_for_tests.py -> build/bdist.linux-x86_64/wheel/./xbout/tests
  copying build/lib/xbout/tests/test_utils.py -> build/bdist.linux-x86_64/wheel/./xbout/tests
  copying build/lib/xbout/tests/test_region.py -> build/bdist.linux-x86_64/wheel/./xbout/tests
  copying build/lib/xbout/tests/test_plot.py -> build/bdist.linux-x86_64/wheel/./xbout/tests
  copying build/lib/xbout/tests/test_load.py -> build/bdist.linux-x86_64/wheel/./xbout/tests
  copying build/lib/xbout/tests/test_init.py -> build/bdist.linux-x86_64/wheel/./xbout/tests
  copying build/lib/xbout/tests/test_grid.py -> build/bdist.linux-x86_64/wheel/./xbout/tests
  copying build/lib/xbout/tests/test_geometries.py -> build/bdist.linux-x86_64/wheel/./xbout/tests
  copying build/lib/xbout/tests/test_fastoutput.py -> build/bdist.linux-x86_64/wheel/./xbout/tests
  copying build/lib/xbout/tests/test_boutdataset.py -> build/bdist.linux-x86_64/wheel/./xbout/tests
  copying build/lib/xbout/tests/test_boutdataarray.py -> build/bdist.linux-x86_64/wheel/./xbout/tests
  copying build/lib/xbout/tests/test_animate.py -> build/bdist.linux-x86_64/wheel/./xbout/tests
  copying build/lib/xbout/tests/test_against_collect.py -> build/bdist.linux-x86_64/wheel/./xbout/tests
  copying build/lib/xbout/tests/conftest.py -> build/bdist.linux-x86_64/wheel/./xbout/tests
  copying build/lib/xbout/tests/__init__.py -> build/bdist.linux-x86_64/wheel/./xbout/tests
  creating build/bdist.linux-x86_64/wheel/xbout/plotting
  copying build/lib/xbout/plotting/__init__.py -> build/bdist.linux-x86_64/wheel/./xbout/plotting
  copying build/lib/xbout/plotting/animate.py -> build/bdist.linux-x86_64/wheel/./xbout/plotting
  copying build/lib/xbout/plotting/plotfuncs.py -> build/bdist.linux-x86_64/wheel/./xbout/plotting
  copying build/lib/xbout/plotting/utils.py -> build/bdist.linux-x86_64/wheel/./xbout/plotting
  creating build/bdist.linux-x86_64/wheel/xbout/calc
  creating build/bdist.linux-x86_64/wheel/xbout/calc/tests
  copying build/lib/xbout/calc/tests/test_turbulence.py -> build/bdist.linux-x86_64/wheel/./xbout/calc/tests
  copying build/lib/xbout/calc/__init__.py -> build/bdist.linux-x86_64/wheel/./xbout/calc
  copying build/lib/xbout/calc/turbulence.py -> build/bdist.linux-x86_64/wheel/./xbout/calc
  copying build/lib/xbout/__init__.py -> build/bdist.linux-x86_64/wheel/./xbout
  copying build/lib/xbout/_version.py -> build/bdist.linux-x86_64/wheel/./xbout
  copying build/lib/xbout/boutdataarray.py -> build/bdist.linux-x86_64/wheel/./xbout
  copying build/lib/xbout/boutdataset.py -> build/bdist.linux-x86_64/wheel/./xbout
  copying build/lib/xbout/conftest.py -> build/bdist.linux-x86_64/wheel/./xbout
  copying build/lib/xbout/fastoutput.py -> build/bdist.linux-x86_64/wheel/./xbout
  copying build/lib/xbout/geometries.py -> build/bdist.linux-x86_64/wheel/./xbout
  copying build/lib/xbout/load.py -> build/bdist.linux-x86_64/wheel/./xbout
  copying build/lib/xbout/region.py -> build/bdist.linux-x86_64/wheel/./xbout
  copying build/lib/xbout/utils.py -> build/bdist.linux-x86_64/wheel/./xbout
  running install_egg_info
  Copying xbout.egg-info to build/bdist.linux-x86_64/wheel/./xbout-0.3.6-py3.14.egg-info
  running install_scripts
  creating build/bdist.linux-x86_64/wheel/xbout-0.3.6.dist-info/WHEEL
  creating '/builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/.pyproject-builddir/pip-wheel-auhh5dfx/.tmp-lrjvtx1o/xbout-0.3.6-py3-none-any.whl' and adding 'build/bdist.linux-x86_64/wheel' to it
  adding 'xbout/__init__.py'
  adding 'xbout/_version.py'
  adding 'xbout/boutdataarray.py'
  adding 'xbout/boutdataset.py'
  adding 'xbout/conftest.py'
  adding 'xbout/fastoutput.py'
  adding 'xbout/geometries.py'
  adding 'xbout/load.py'
  adding 'xbout/region.py'
  adding 'xbout/utils.py'
  adding 'xbout/calc/__init__.py'
  adding 'xbout/calc/turbulence.py'
  adding 'xbout/calc/tests/test_turbulence.py'
  adding 'xbout/plotting/__init__.py'
  adding 'xbout/plotting/animate.py'
  adding 'xbout/plotting/plotfuncs.py'
  adding 'xbout/plotting/utils.py'
  adding 'xbout/tests/__init__.py'
  adding 'xbout/tests/conftest.py'
  adding 'xbout/tests/test_against_collect.py'
  adding 'xbout/tests/test_animate.py'
  adding 'xbout/tests/test_boutdataarray.py'
  adding 'xbout/tests/test_boutdataset.py'
  adding 'xbout/tests/test_fastoutput.py'
  adding 'xbout/tests/test_geometries.py'
  adding 'xbout/tests/test_grid.py'
  adding 'xbout/tests/test_init.py'
  adding 'xbout/tests/test_load.py'
  adding 'xbout/tests/test_plot.py'
  adding 'xbout/tests/test_region.py'
  adding 'xbout/tests/test_utils.py'
  adding 'xbout/tests/utils_for_tests.py'
  adding 'xbout/tests/data/options/BOUT.inp'
  adding 'xbout/tests/data/restart/BOUT.restart.0.nc'
  adding 'xbout/tests/data/restart/BOUT.restart.1.nc'
  adding 'xbout/tests/data/restart/README.md'
  adding 'xbout/tests/inputs/s-alpha.inp'
  adding 'xbout-0.3.6.dist-info/licenses/LICENSE'
  adding 'xbout-0.3.6.dist-info/METADATA'
  adding 'xbout-0.3.6.dist-info/WHEEL'
  adding 'xbout-0.3.6.dist-info/top_level.txt'
  adding 'xbout-0.3.6.dist-info/RECORD'
  removing build/bdist.linux-x86_64/wheel
  Building wheel for xbout (pyproject.toml): finished with status 'done'
  Created wheel for xbout: filename=xbout-0.3.6-py3-none-any.whl size=140106 sha256=575abd49520344d3a4fb9bcb9d2eee9b5fd17be61f895b0028993f92e53f1c71
  Stored in directory: /builddir/.cache/pip/wheels/08/3c/3b/a041473b714187cd781301a93e81a37e416c8f0a7d803d2588
Successfully built xbout
+ PYTHONPATH=/builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6
+ sphinx-build-3 docs html
Running Sphinx v8.2.3
loading translations [en]... done
making output directory... done
Converting `source_suffix = '.rst'` to `source_suffix = {'.rst': 'restructuredtext'}`.
[autosummary] generating autosummary for: accessor_methods.rst, api.rst, extending_xbout.rst, index.rst, loading_data.rst
[autosummary] generating autosummary for: /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.rst
[autosummary] generating autosummary for: /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.boutdataarray.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.boutdataset.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.calc.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.conftest.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.fastoutput.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.geometries.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.load.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.plotting.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.region.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.tests.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.utils.rst
[autosummary] generating autosummary for: /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.boutdataarray.BoutDataArrayAccessor.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.boutdataset.BoutDatasetAccessor.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.calc.turbulence.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.conftest.pytest_addoption.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.conftest.pytest_collection_modifyitems.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.conftest.pytest_configure.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.fastoutput.open_fastoutput.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.geometries.UnregisteredGeometryError.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.geometries.add_fci_geometry_coords.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.geometries.add_s_alpha_geometry_coords.rst, ..., /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.tests.test_boutdataset.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.tests.test_fastoutput.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.tests.test_geometries.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.tests.test_grid.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.tests.test_init.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.tests.test_load.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.tests.test_plot.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.tests.test_region.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.tests.test_utils.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.tests.utils_for_tests.rst
[autosummary] generating autosummary for: /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.calc.turbulence.rms.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.plotting.animate.animate_line.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.plotting.animate.animate_pcolormesh.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.plotting.animate.animate_poloidal.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.plotting.plotfuncs.plot2d_wrapper.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.plotting.plotfuncs.plot3d.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.plotting.plotfuncs.plot_regions.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.plotting.utils.plot_separatrices.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.plotting.utils.plot_separatrix.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.plotting.utils.plot_targets.rst, ..., /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.tests.test_load.test_check_extensions.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.tests.test_load.test_set_fci_coords.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.tests.test_plot.TestPlot.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.tests.test_region.TestRegion.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.tests.test_utils.TestUtils.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.tests.utils_for_tests.create_bout_ds.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.tests.utils_for_tests.create_bout_ds_list.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.tests.utils_for_tests.create_bout_grid_ds.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.tests.utils_for_tests.load_example_input.rst, /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/generated/xbout.tests.utils_for_tests.set_geometry_from_input_file.rst
loading intersphinx inventory 'python' from https://docs.python.org/3/objects.inv ...
loading intersphinx inventory 'numpy' from https://numpy.org/doc/stable/objects.inv ...
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loading intersphinx inventory 'mayavi' from https://docs.enthought.com/mayavi/mayavi/objects.inv ...
WARNING: failed to reach any of the inventories with the following issues:
intersphinx inventory 'https://docs.python.org/3/objects.inv' not fetchable due to <class 'requests.exceptions.ConnectionError'>: HTTPSConnectionPool(host='docs.python.org', port=443): Max retries exceeded with url: /3/objects.inv (Caused by NameResolutionError("<urllib3.connection.HTTPSConnection object at 0x7f5d5fabd090>: Failed to resolve 'docs.python.org' ([Errno -3] Temporary failure in name resolution)"))
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WARNING: failed to reach any of the inventories with the following issues:
intersphinx inventory 'https://docs.enthought.com/mayavi/mayavi/objects.inv' not fetchable due to <class 'requests.exceptions.ConnectionError'>: HTTPSConnectionPool(host='docs.enthought.com', port=443): Max retries exceeded with url: /mayavi/mayavi/objects.inv (Caused by NameResolutionError("<urllib3.connection.HTTPSConnection object at 0x7f5d642f87d0>: Failed to resolve 'docs.enthought.com' ([Errno -3] Temporary failure in name resolution)"))
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intersphinx inventory 'https://docs.scipy.org/doc/scipy/objects.inv' not fetchable due to <class 'requests.exceptions.ConnectionError'>: HTTPSConnectionPool(host='docs.scipy.org', port=443): Max retries exceeded with url: /doc/scipy/objects.inv (Caused by NameResolutionError("<urllib3.connection.HTTPSConnection object at 0x7f5d5fabdd10>: Failed to resolve 'docs.scipy.org' ([Errno -3] Temporary failure in name resolution)"))
building [mo]: targets for 0 po files that are out of date
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updating environment: [new config] 105 added, 0 changed, 0 removed
reading sources... [  1%] accessor_methods
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reading sources... [  6%] generated/xbout.boutdataarray.BoutDataArrayAccessor
reading sources... [  7%] generated/xbout.boutdataset
reading sources... [  8%] generated/xbout.boutdataset.BoutDatasetAccessor
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reading sources... [ 10%] generated/xbout.calc.turbulence.rms
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writing output... [ 74%] generated/xbout.tests.test_grid.TestOpenGrid
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writing output... [ 77%] generated/xbout.tests.test_init.test_version
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writing output... [ 79%] generated/xbout.tests.test_load.TestArrange
writing output... [ 80%] generated/xbout.tests.test_load.TestOpen
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writing output... [ 82%] generated/xbout.tests.test_load.TestStripMetadata
writing output... [ 83%] generated/xbout.tests.test_load.TestTrim
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writing output... [ 92%] generated/xbout.tests.utils_for_tests
writing output... [ 93%] generated/xbout.tests.utils_for_tests.create_bout_ds
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writing output... [ 99%] index
writing output... [100%] loading_data

/builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/accessor_methods.rst:4: WARNING: 'any' reference target not found: xarray.Dataset [ref.any]
/builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/accessor_methods.rst:4: WARNING: 'any' reference target not found: xarray.DataArray [ref.any]
/builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/xbout/boutdataarray.py:docstring of xbout.boutdataarray.BoutDataArrayAccessor:4: WARNING: 'any' reference target not found: BoutOptionsFile [ref.any]
/builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/xbout/boutdataarray.py:docstring of xbout.boutdataarray.BoutDataArrayAccessor.interpolate_to_cartesian:3: WARNING: 'any' reference target not found: numpy.float32 [ref.any]
/builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/xbout/boutdataarray.py:docstring of xbout.boutdataarray.BoutDataArrayAccessor.interpolate_to_cartesian:14: WARNING: 'any' reference target not found: numpy.float32 [ref.any]
/builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/xbout/boutdataarray.py:docstring of xbout.boutdataarray.BoutDataArrayAccessor.interpolate_to_cartesian:16: WARNING: 'any' reference target not found: scipy.interpolate.RegularGridInterpolator [ref.any]
/builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/xbout/boutdataset.py:docstring of xbout.boutdataset.BoutDatasetAccessor:4: WARNING: 'any' reference target not found: BoutOptionsFile [ref.any]
/builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/xbout/boutdataset.py:docstring of xbout.boutdataset.BoutDatasetAccessor.integrate_midpoints:36: WARNING: 'any' reference target not found: ... [ref.any]
/builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/xbout/boutdataset.py:docstring of xbout.boutdataset.BoutDatasetAccessor.interpolate_to_cartesian:3: WARNING: 'any' reference target not found: numpy.float32 [ref.any]
/builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/xbout/boutdataset.py:docstring of xbout.boutdataset.BoutDatasetAccessor.interpolate_to_cartesian:18: WARNING: 'any' reference target not found: numpy.float32 [ref.any]
/builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/xbout/boutdataset.py:docstring of xbout.boutdataset.BoutDatasetAccessor.interpolate_to_cartesian:21: WARNING: 'any' reference target not found: scipy.interpolate.RegularGridInterpolator [ref.any]
/builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/xbout/load.py:docstring of xbout.load.open_boutdataset:20: WARNING: 'any' reference target not found: xarray.open_dataset [ref.any]
/builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/xbout/load.py:docstring of xbout.load.open_boutdataset:94: WARNING: 'any' reference target not found: xarray.open_mfdataset [ref.any]
/builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/xbout/load.py:docstring of xbout.load.open_boutdataset:94: WARNING: 'any' reference target not found: xarray.open_dataset [ref.any]
/builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/xbout/plotting/plotfuncs.py:docstring of xbout.plotting.plotfuncs.plot2d_wrapper:3: WARNING: 'any' reference target not found: xarray.DataArray.plot [ref.any]
/builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/xbout/plotting/plotfuncs.py:docstring of xbout.plotting.plotfuncs.plot3d:68: WARNING: 'any' reference target not found: mayavi.mlab.view [ref.any]
/builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/docs/loading_data.rst:12: WARNING: 'any' reference target not found: xarray.Dataset [ref.any]
generating indices... genindex py-modindex done
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writing additional pages... search done
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dumping search index in English (code: en)... done
dumping object inventory... done
build succeeded, 29 warnings.

The HTML pages are in html.
+ rm -rf html/.doctrees html/.buildinfo
+ RPM_EC=0
++ jobs -p
+ exit 0
Executing(%install): /bin/sh -e /var/tmp/rpm-tmp.kuNMcW
+ umask 022
+ cd /builddir/build/BUILD/python-xbout-0.3.6-build
+ '[' /builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT '!=' / ']'
+ rm -rf /builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT
++ dirname /builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT
+ mkdir -p /builddir/build/BUILD/python-xbout-0.3.6-build
+ mkdir /builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT
+ 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 -mtls-dialect=gnu2 -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 -mtls-dialect=gnu2 -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 -mtls-dialect=gnu2 -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 -mtls-dialect=gnu2 -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-hardened-ld-errors -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 xbout-0.3.6
++ ls /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/pyproject-wheeldir/xbout-0.3.6-py3-none-any.whl
++ xargs basename --multiple
++ sed -E 's/([^-]+)-([^-]+)-.+\.whl/\1==\2/'
+ specifier=xbout==0.3.6
+ '[' -z xbout==0.3.6 ']'
+ TMPDIR=/builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/.pyproject-builddir
+ /usr/bin/python3 -m pip install --root /builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT --prefix /usr --no-deps --disable-pip-version-check --progress-bar off --verbose --ignore-installed --no-warn-script-location --no-index --no-cache-dir --find-links /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/pyproject-wheeldir xbout==0.3.6
Using pip 25.2 from /usr/lib/python3.14/site-packages/pip (python 3.14)
Looking in links: /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/pyproject-wheeldir
Processing ./pyproject-wheeldir/xbout-0.3.6-py3-none-any.whl
Installing collected packages: xbout
Successfully installed xbout-0.3.6
+ '[' -d /builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/bin ']'
+ rm -f /builddir/build/BUILD/python-xbout-0.3.6-build/python-xbout-0.3.6-6.fc43.x86_64-pyproject-ghost-distinfo
+ site_dirs=()
+ '[' -d /builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages ']'
+ site_dirs+=("/usr/lib/python3.14/site-packages")
+ '[' /builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib64/python3.14/site-packages '!=' /builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages ']'
+ '[' -d /builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib64/python3.14/site-packages ']'
+ for site_dir in ${site_dirs[@]}
+ for distinfo in /builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT$site_dir/*.dist-info
+ echo '%ghost /usr/lib/python3.14/site-packages/xbout-0.3.6.dist-info'
+ sed -i s/pip/rpm/ /builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout-0.3.6.dist-info/INSTALLER
+ PYTHONPATH=/usr/lib/rpm/redhat
+ /usr/bin/python3 -B /usr/lib/rpm/redhat/pyproject_preprocess_record.py --buildroot /builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT --record /builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout-0.3.6.dist-info/RECORD --output /builddir/build/BUILD/python-xbout-0.3.6-build/python-xbout-0.3.6-6.fc43.x86_64-pyproject-record
+ rm -fv /builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout-0.3.6.dist-info/RECORD
removed '/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout-0.3.6.dist-info/RECORD'
+ rm -fv /builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout-0.3.6.dist-info/REQUESTED
removed '/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout-0.3.6.dist-info/REQUESTED'
++ wc -l /builddir/build/BUILD/python-xbout-0.3.6-build/python-xbout-0.3.6-6.fc43.x86_64-pyproject-ghost-distinfo
++ cut -f1 '-d '
+ lines=1
+ '[' 1 -ne 1 ']'
+ RPM_FILES_ESCAPE=4.19
+ /usr/bin/python3 /usr/lib/rpm/redhat/pyproject_save_files.py --output-files /builddir/build/BUILD/python-xbout-0.3.6-build/python-xbout-0.3.6-6.fc43.x86_64-pyproject-files --output-modules /builddir/build/BUILD/python-xbout-0.3.6-build/python-xbout-0.3.6-6.fc43.x86_64-pyproject-modules --buildroot /builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT --sitelib /usr/lib/python3.14/site-packages --sitearch /usr/lib64/python3.14/site-packages --python-version 3.14 --pyproject-record /builddir/build/BUILD/python-xbout-0.3.6-build/python-xbout-0.3.6-6.fc43.x86_64-pyproject-record --prefix /usr xbout
+ /usr/lib/rpm/check-buildroot
+ /usr/lib/rpm/redhat/brp-ldconfig
+ /usr/lib/rpm/brp-compress
+ /usr/lib/rpm/brp-strip /usr/bin/strip
+ /usr/lib/rpm/brp-strip-comment-note /usr/bin/strip /usr/bin/objdump
+ /usr/lib/rpm/redhat/brp-strip-lto /usr/bin/strip
+ /usr/lib/rpm/check-rpaths
+ /usr/lib/rpm/redhat/brp-mangle-shebangs
+ /usr/lib/rpm/brp-remove-la-files
+ /usr/lib/rpm/redhat/brp-python-rpm-in-distinfo
+ env /usr/lib/rpm/redhat/brp-python-bytecompile '' 1 0 -j4
Bytecompiling .py files below /builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14 using python3.14
+ /usr/lib/rpm/redhat/brp-python-hardlink
+ /usr/bin/add-determinism --brp -j4 /builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout/__pycache__/utils.cpython-314.opt-1.pyc: rewriting with normalized contents
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout/__pycache__/load.cpython-314.opt-1.pyc: replacing with normalized version
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout/__pycache__/region.cpython-314.opt-1.pyc: rewriting with normalized contents
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout/__pycache__/geometries.cpython-314.opt-1.pyc: replacing with normalized version
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout/__pycache__/load.cpython-314.pyc: replacing with normalized version
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout/__pycache__/boutdataset.cpython-314.opt-1.pyc: rewriting with normalized contents
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout/__pycache__/conftest.cpython-314.opt-1.pyc: rewriting with normalized contents
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout/__pycache__/geometries.cpython-314.pyc: replacing with normalized version
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout/__pycache__/fastoutput.cpython-314.opt-1.pyc: rewriting with normalized contents
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout/__pycache__/_version.cpython-314.opt-1.pyc: rewriting with normalized contents
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout/__pycache__/__init__.cpython-314.opt-1.pyc: rewriting with normalized contents
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout/tests/__pycache__/test_fastoutput.cpython-314.opt-1.pyc: replacing with normalized version
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout/tests/__pycache__/test_fastoutput.cpython-314.pyc: replacing with normalized version
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout/tests/__pycache__/utils_for_tests.cpython-314.opt-1.pyc: rewriting with normalized contents
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout/__pycache__/boutdataarray.cpython-314.opt-1.pyc: rewriting with normalized contents
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout/tests/__pycache__/test_utils.cpython-314.opt-1.pyc: replacing with normalized version
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout/tests/__pycache__/test_utils.cpython-314.pyc: replacing with normalized version
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout/tests/__pycache__/test_region.cpython-314.opt-1.pyc: rewriting with normalized contents
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout/tests/__pycache__/test_load.cpython-314.opt-1.pyc: replacing with normalized version
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout/tests/__pycache__/test_boutdataset.cpython-314.opt-1.pyc: replacing with normalized version
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout/tests/__pycache__/test_boutdataarray.cpython-314.opt-1.pyc: replacing with normalized version
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout/tests/__pycache__/test_boutdataset.cpython-314.pyc: replacing with normalized version
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout/tests/__pycache__/test_init.cpython-314.opt-1.pyc: replacing with normalized version
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout/tests/__pycache__/test_init.cpython-314.pyc: replacing with normalized version
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout/tests/__pycache__/test_plot.cpython-314.opt-1.pyc: rewriting with normalized contents
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout/tests/__pycache__/test_grid.cpython-314.opt-1.pyc: rewriting with normalized contents
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout/tests/__pycache__/test_geometries.cpython-314.opt-1.pyc: replacing with normalized version
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout/tests/__pycache__/test_geometries.cpython-314.pyc: replacing with normalized version
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout/tests/__pycache__/test_load.cpython-314.pyc: replacing with normalized version
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout/tests/__pycache__/test_animate.cpython-314.opt-1.pyc: replacing with normalized version
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout/tests/__pycache__/test_animate.cpython-314.pyc: replacing with normalized version
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout/tests/__pycache__/test_against_collect.cpython-314.opt-1.pyc: replacing with normalized version
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout/tests/__pycache__/__init__.cpython-314.opt-1.pyc: rewriting with normalized contents
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout/tests/__pycache__/conftest.cpython-314.opt-1.pyc: rewriting with normalized contents
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout/plotting/__pycache__/__init__.cpython-314.opt-1.pyc: rewriting with normalized contents
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout/tests/__pycache__/test_against_collect.cpython-314.pyc: replacing with normalized version
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout/tests/__pycache__/test_boutdataarray.cpython-314.pyc: replacing with normalized version
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout/calc/__pycache__/turbulence.cpython-314.opt-1.pyc: rewriting with normalized contents
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout/calc/__pycache__/__init__.cpython-314.opt-1.pyc: rewriting with normalized contents
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout/plotting/__pycache__/utils.cpython-314.opt-1.pyc: rewriting with normalized contents
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout/plotting/__pycache__/animate.cpython-314.opt-1.pyc: rewriting with normalized contents
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout/plotting/__pycache__/plotfuncs.cpython-314.opt-1.pyc: rewriting with normalized contents
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages/xbout/calc/tests/__pycache__/test_turbulence.cpython-314.opt-1.pyc: rewriting with normalized contents
Scanned 21 directories and 106 files,
               processed 43 inodes,
               43 modified (22 replaced + 21 rewritten),
               0 unsupported format, 0 errors
Executing(%check): /bin/sh -e /var/tmp/rpm-tmp.avxjnc
+ umask 022
+ cd /builddir/build/BUILD/python-xbout-0.3.6-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 -mtls-dialect=gnu2 -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 -mtls-dialect=gnu2 -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 -mtls-dialect=gnu2 -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 -mtls-dialect=gnu2 -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-hardened-ld-errors -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 xbout-0.3.6
+ 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 -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer  '
+ 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-hardened-ld-errors -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes  '
+ PATH=/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/bin:/usr/bin:/bin:/usr/sbin:/sbin
+ PYTHONPATH=/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib64/python3.14/site-packages:/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.14/site-packages
+ PYTHONDONTWRITEBYTECODE=1
+ PYTEST_ADDOPTS=' --ignore=/builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/.pyproject-builddir'
+ PYTEST_XDIST_AUTO_NUM_WORKERS=4
+ /usr/bin/pytest xbout --long --durations=0
============================= test session starts ==============================
platform linux -- Python 3.14.0rc2, pytest-8.3.5, pluggy-1.6.0
rootdir: /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6
configfile: pyproject.toml
collected 796 items

xbout/calc/tests/test_turbulence.py .....                                [  0%]
xbout/tests/test_against_collect.py FFFFF...                             [  1%]
xbout/tests/test_animate.py EEEEEEEEEEEEEEEEEEEEEEEsEEEEEEEEEEEEEEE      [  6%]
xbout/tests/test_boutdataarray.py FFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFF [ 11%]
FFFFFFFFFFFFFFFFFF                                                       [ 13%]
xbout/tests/test_boutdataset.py FFFFFFFFFFFFFFFFFFFFFF.FFFFFFFFFFFFFFFFF [ 18%]
FFFFFFFFFFFFFFFFFFFFFFFFFFssFFFFFFFFFFFFFFFFFF.                          [ 24%]
xbout/tests/test_fastoutput.py .                                         [ 24%]
xbout/tests/test_geometries.py ..                                        [ 24%]
xbout/tests/test_grid.py .....                                           [ 25%]
xbout/tests/test_init.py .                                               [ 25%]
xbout/tests/test_load.py ..........................FFFFFFFFFFFFsFFException ignored while calling deallocator <function CachingFileManager.__del__ at 0x7f501f6d9010>:
Traceback (most recent call last):
  File "/usr/lib/python3.14/site-packages/xarray/backends/file_manager.py", line 250, in __del__
    self.close(needs_lock=False)
  File "/usr/lib/python3.14/site-packages/xarray/backends/file_manager.py", line 234, in close
    file.close()
  File "src/netCDF4/_netCDF4.pyx", line 2669, in netCDF4._netCDF4.Dataset.close
  File "src/netCDF4/_netCDF4.pyx", line 2636, in netCDF4._netCDF4.Dataset._close
  File "src/netCDF4/_netCDF4.pyx", line 2164, in netCDF4._netCDF4._ensure_nc_success
RuntimeError: NetCDF: HDF error
F...FF [ 31%]
Fs...................................................................... [ 40%]
............                                                             [ 42%]
xbout/tests/test_plot.py FFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFF [ 47%]
FFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFF [ 57%]
FFFFFFFFFFFFFFFFFFFFFFFFF                                                [ 60%]
xbout/tests/test_region.py FFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFF [ 65%]
FFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFF [ 74%]
FFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFF [ 83%]
FFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFF [ 92%]
FFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFF                              [ 98%]
xbout/tests/test_utils.py .............                                  [100%]

==================================== ERRORS ====================================
_________________ ERROR at setup of TestAnimate.test_animate2D _________________

tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f501af90510>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

    @pytest.fixture
    def create_test_file(tmp_path_factory):
        # Create temp dir for output of animate1D/2D
        save_dir = tmp_path_factory.mktemp("test_data")
    
        # Generate some test data
        ds_list, file_list = create_bout_ds_list(
            "BOUT.dmp", nxpe=3, nype=3, syn_data_type="linear"
        )
        for ds, file_name in zip(ds_list, file_list):
            ds.to_netcdf(save_dir.joinpath(file_name))
    
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(save_dir.joinpath("BOUT.dmp.*.nc"))  # Open test data

xbout/tests/test_animate.py:25: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50191c90c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
_____ ERROR at setup of TestAnimate.test_animate2D_controls_arg[controls0] _____

tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f501af90510>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

    @pytest.fixture
    def create_test_file(tmp_path_factory):
        # Create temp dir for output of animate1D/2D
        save_dir = tmp_path_factory.mktemp("test_data")
    
        # Generate some test data
        ds_list, file_list = create_bout_ds_list(
            "BOUT.dmp", nxpe=3, nype=3, syn_data_type="linear"
        )
        for ds, file_name in zip(ds_list, file_list):
            ds.to_netcdf(save_dir.joinpath(file_name))
    
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(save_dir.joinpath("BOUT.dmp.*.nc"))  # Open test data

xbout/tests/test_animate.py:25: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5019289300>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
_____ ERROR at setup of TestAnimate.test_animate2D_controls_arg[controls1] _____

tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f501af90510>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

    @pytest.fixture
    def create_test_file(tmp_path_factory):
        # Create temp dir for output of animate1D/2D
        save_dir = tmp_path_factory.mktemp("test_data")
    
        # Generate some test data
        ds_list, file_list = create_bout_ds_list(
            "BOUT.dmp", nxpe=3, nype=3, syn_data_type="linear"
        )
        for ds, file_name in zip(ds_list, file_list):
            ds.to_netcdf(save_dir.joinpath(file_name))
    
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(save_dir.joinpath("BOUT.dmp.*.nc"))  # Open test data

xbout/tests/test_animate.py:25: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5018734100>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
_____ ERROR at setup of TestAnimate.test_animate2D_controls_arg[controls2] _____

tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f501af90510>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

    @pytest.fixture
    def create_test_file(tmp_path_factory):
        # Create temp dir for output of animate1D/2D
        save_dir = tmp_path_factory.mktemp("test_data")
    
        # Generate some test data
        ds_list, file_list = create_bout_ds_list(
            "BOUT.dmp", nxpe=3, nype=3, syn_data_type="linear"
        )
        for ds, file_name in zip(ds_list, file_list):
            ds.to_netcdf(save_dir.joinpath(file_name))
    
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(save_dir.joinpath("BOUT.dmp.*.nc"))  # Open test data

xbout/tests/test_animate.py:25: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5019163b20>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
_____ ERROR at setup of TestAnimate.test_animate2D_controls_arg[controls3] _____

tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f501af90510>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

    @pytest.fixture
    def create_test_file(tmp_path_factory):
        # Create temp dir for output of animate1D/2D
        save_dir = tmp_path_factory.mktemp("test_data")
    
        # Generate some test data
        ds_list, file_list = create_bout_ds_list(
            "BOUT.dmp", nxpe=3, nype=3, syn_data_type="linear"
        )
        for ds, file_name in zip(ds_list, file_list):
            ds.to_netcdf(save_dir.joinpath(file_name))
    
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(save_dir.joinpath("BOUT.dmp.*.nc"))  # Open test data

xbout/tests/test_animate.py:25: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5019513280>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
_____ ERROR at setup of TestAnimate.test_animate2D_controls_arg[controls4] _____

tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f501af90510>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

    @pytest.fixture
    def create_test_file(tmp_path_factory):
        # Create temp dir for output of animate1D/2D
        save_dir = tmp_path_factory.mktemp("test_data")
    
        # Generate some test data
        ds_list, file_list = create_bout_ds_list(
            "BOUT.dmp", nxpe=3, nype=3, syn_data_type="linear"
        )
        for ds, file_name in zip(ds_list, file_list):
            ds.to_netcdf(save_dir.joinpath(file_name))
    
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(save_dir.joinpath("BOUT.dmp.*.nc"))  # Open test data

xbout/tests/test_animate.py:25: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5019457940>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
_____ ERROR at setup of TestAnimate.test_animate2D_controls_arg[controls5] _____

tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f501af90510>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

    @pytest.fixture
    def create_test_file(tmp_path_factory):
        # Create temp dir for output of animate1D/2D
        save_dir = tmp_path_factory.mktemp("test_data")
    
        # Generate some test data
        ds_list, file_list = create_bout_ds_list(
            "BOUT.dmp", nxpe=3, nype=3, syn_data_type="linear"
        )
        for ds, file_name in zip(ds_list, file_list):
            ds.to_netcdf(save_dir.joinpath(file_name))
    
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(save_dir.joinpath("BOUT.dmp.*.nc"))  # Open test data

xbout/tests/test_animate.py:25: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f501932e2c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
_________________ ERROR at setup of TestAnimate.test_animate1D _________________

tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f501af90510>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

    @pytest.fixture
    def create_test_file(tmp_path_factory):
        # Create temp dir for output of animate1D/2D
        save_dir = tmp_path_factory.mktemp("test_data")
    
        # Generate some test data
        ds_list, file_list = create_bout_ds_list(
            "BOUT.dmp", nxpe=3, nype=3, syn_data_type="linear"
        )
        for ds, file_name in zip(ds_list, file_list):
            ds.to_netcdf(save_dir.joinpath(file_name))
    
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(save_dir.joinpath("BOUT.dmp.*.nc"))  # Open test data

xbout/tests/test_animate.py:25: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50188bc0a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
_____ ERROR at setup of TestAnimate.test_animate1D_controls_arg[controls0] _____

tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f501af90510>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

    @pytest.fixture
    def create_test_file(tmp_path_factory):
        # Create temp dir for output of animate1D/2D
        save_dir = tmp_path_factory.mktemp("test_data")
    
        # Generate some test data
        ds_list, file_list = create_bout_ds_list(
            "BOUT.dmp", nxpe=3, nype=3, syn_data_type="linear"
        )
        for ds, file_name in zip(ds_list, file_list):
            ds.to_netcdf(save_dir.joinpath(file_name))
    
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(save_dir.joinpath("BOUT.dmp.*.nc"))  # Open test data

xbout/tests/test_animate.py:25: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5018fa3820>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
_____ ERROR at setup of TestAnimate.test_animate1D_controls_arg[controls1] _____

tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f501af90510>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

    @pytest.fixture
    def create_test_file(tmp_path_factory):
        # Create temp dir for output of animate1D/2D
        save_dir = tmp_path_factory.mktemp("test_data")
    
        # Generate some test data
        ds_list, file_list = create_bout_ds_list(
            "BOUT.dmp", nxpe=3, nype=3, syn_data_type="linear"
        )
        for ds, file_name in zip(ds_list, file_list):
            ds.to_netcdf(save_dir.joinpath(file_name))
    
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(save_dir.joinpath("BOUT.dmp.*.nc"))  # Open test data

xbout/tests/test_animate.py:25: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50191cfe20>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
_____ ERROR at setup of TestAnimate.test_animate1D_controls_arg[controls2] _____

tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f501af90510>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

    @pytest.fixture
    def create_test_file(tmp_path_factory):
        # Create temp dir for output of animate1D/2D
        save_dir = tmp_path_factory.mktemp("test_data")
    
        # Generate some test data
        ds_list, file_list = create_bout_ds_list(
            "BOUT.dmp", nxpe=3, nype=3, syn_data_type="linear"
        )
        for ds, file_name in zip(ds_list, file_list):
            ds.to_netcdf(save_dir.joinpath(file_name))
    
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(save_dir.joinpath("BOUT.dmp.*.nc"))  # Open test data

xbout/tests/test_animate.py:25: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f501a99f8e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
_____ ERROR at setup of TestAnimate.test_animate1D_controls_arg[controls3] _____

tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f501af90510>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

    @pytest.fixture
    def create_test_file(tmp_path_factory):
        # Create temp dir for output of animate1D/2D
        save_dir = tmp_path_factory.mktemp("test_data")
    
        # Generate some test data
        ds_list, file_list = create_bout_ds_list(
            "BOUT.dmp", nxpe=3, nype=3, syn_data_type="linear"
        )
        for ds, file_name in zip(ds_list, file_list):
            ds.to_netcdf(save_dir.joinpath(file_name))
    
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(save_dir.joinpath("BOUT.dmp.*.nc"))  # Open test data

xbout/tests/test_animate.py:25: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50184ae020>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
_____ ERROR at setup of TestAnimate.test_animate1D_controls_arg[controls4] _____

tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f501af90510>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

    @pytest.fixture
    def create_test_file(tmp_path_factory):
        # Create temp dir for output of animate1D/2D
        save_dir = tmp_path_factory.mktemp("test_data")
    
        # Generate some test data
        ds_list, file_list = create_bout_ds_list(
            "BOUT.dmp", nxpe=3, nype=3, syn_data_type="linear"
        )
        for ds, file_name in zip(ds_list, file_list):
            ds.to_netcdf(save_dir.joinpath(file_name))
    
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(save_dir.joinpath("BOUT.dmp.*.nc"))  # Open test data

xbout/tests/test_animate.py:25: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f501a63db40>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
_____ ERROR at setup of TestAnimate.test_animate1D_controls_arg[controls5] _____

tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f501af90510>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

    @pytest.fixture
    def create_test_file(tmp_path_factory):
        # Create temp dir for output of animate1D/2D
        save_dir = tmp_path_factory.mktemp("test_data")
    
        # Generate some test data
        ds_list, file_list = create_bout_ds_list(
            "BOUT.dmp", nxpe=3, nype=3, syn_data_type="linear"
        )
        for ds, file_name in zip(ds_list, file_list):
            ds.to_netcdf(save_dir.joinpath(file_name))
    
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(save_dir.joinpath("BOUT.dmp.*.nc"))  # Open test data

xbout/tests/test_animate.py:25: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5018783760>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
_______________ ERROR at setup of TestAnimate.test_animate_list ________________

tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f501af90510>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

    @pytest.fixture
    def create_test_file(tmp_path_factory):
        # Create temp dir for output of animate1D/2D
        save_dir = tmp_path_factory.mktemp("test_data")
    
        # Generate some test data
        ds_list, file_list = create_bout_ds_list(
            "BOUT.dmp", nxpe=3, nype=3, syn_data_type="linear"
        )
        for ds, file_name in zip(ds_list, file_list):
            ds.to_netcdf(save_dir.joinpath(file_name))
    
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(save_dir.joinpath("BOUT.dmp.*.nc"))  # Open test data

xbout/tests/test_animate.py:25: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5019287e20>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
__________ ERROR at setup of TestAnimate.test_animate_list_1d_default __________

tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f501af90510>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

    @pytest.fixture
    def create_test_file(tmp_path_factory):
        # Create temp dir for output of animate1D/2D
        save_dir = tmp_path_factory.mktemp("test_data")
    
        # Generate some test data
        ds_list, file_list = create_bout_ds_list(
            "BOUT.dmp", nxpe=3, nype=3, syn_data_type="linear"
        )
        for ds, file_name in zip(ds_list, file_list):
            ds.to_netcdf(save_dir.joinpath(file_name))
    
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(save_dir.joinpath("BOUT.dmp.*.nc"))  # Open test data

xbout/tests/test_animate.py:25: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f501853bc40>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
_________ ERROR at setup of TestAnimate.test_animate_list_1d_multiline _________

tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f501af90510>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

    @pytest.fixture
    def create_test_file(tmp_path_factory):
        # Create temp dir for output of animate1D/2D
        save_dir = tmp_path_factory.mktemp("test_data")
    
        # Generate some test data
        ds_list, file_list = create_bout_ds_list(
            "BOUT.dmp", nxpe=3, nype=3, syn_data_type="linear"
        )
        for ds, file_name in zip(ds_list, file_list):
            ds.to_netcdf(save_dir.joinpath(file_name))
    
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(save_dir.joinpath("BOUT.dmp.*.nc"))  # Open test data

xbout/tests/test_animate.py:25: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50191340a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
_________ ERROR at setup of TestAnimate.test_animate_list_animate_over _________

tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f501af90510>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

    @pytest.fixture
    def create_test_file(tmp_path_factory):
        # Create temp dir for output of animate1D/2D
        save_dir = tmp_path_factory.mktemp("test_data")
    
        # Generate some test data
        ds_list, file_list = create_bout_ds_list(
            "BOUT.dmp", nxpe=3, nype=3, syn_data_type="linear"
        )
        for ds, file_name in zip(ds_list, file_list):
            ds.to_netcdf(save_dir.joinpath(file_name))
    
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(save_dir.joinpath("BOUT.dmp.*.nc"))  # Open test data

xbout/tests/test_animate.py:25: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f501a63dba0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
___________ ERROR at setup of TestAnimate.test_animate_list_save_as ____________

tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f501af90510>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

    @pytest.fixture
    def create_test_file(tmp_path_factory):
        # Create temp dir for output of animate1D/2D
        save_dir = tmp_path_factory.mktemp("test_data")
    
        # Generate some test data
        ds_list, file_list = create_bout_ds_list(
            "BOUT.dmp", nxpe=3, nype=3, syn_data_type="linear"
        )
        for ds, file_name in zip(ds_list, file_list):
            ds.to_netcdf(save_dir.joinpath(file_name))
    
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(save_dir.joinpath("BOUT.dmp.*.nc"))  # Open test data

xbout/tests/test_animate.py:25: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5019046140>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
_____________ ERROR at setup of TestAnimate.test_animate_list_fps ______________

tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f501af90510>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

    @pytest.fixture
    def create_test_file(tmp_path_factory):
        # Create temp dir for output of animate1D/2D
        save_dir = tmp_path_factory.mktemp("test_data")
    
        # Generate some test data
        ds_list, file_list = create_bout_ds_list(
            "BOUT.dmp", nxpe=3, nype=3, syn_data_type="linear"
        )
        for ds, file_name in zip(ds_list, file_list):
            ds.to_netcdf(save_dir.joinpath(file_name))
    
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(save_dir.joinpath("BOUT.dmp.*.nc"))  # Open test data

xbout/tests/test_animate.py:25: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f501886b520>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
____________ ERROR at setup of TestAnimate.test_animate_list_nrows _____________

tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f501af90510>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

    @pytest.fixture
    def create_test_file(tmp_path_factory):
        # Create temp dir for output of animate1D/2D
        save_dir = tmp_path_factory.mktemp("test_data")
    
        # Generate some test data
        ds_list, file_list = create_bout_ds_list(
            "BOUT.dmp", nxpe=3, nype=3, syn_data_type="linear"
        )
        for ds, file_name in zip(ds_list, file_list):
            ds.to_netcdf(save_dir.joinpath(file_name))
    
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(save_dir.joinpath("BOUT.dmp.*.nc"))  # Open test data

xbout/tests/test_animate.py:25: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5019298a60>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
____________ ERROR at setup of TestAnimate.test_animate_list_ncols _____________

tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f501af90510>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

    @pytest.fixture
    def create_test_file(tmp_path_factory):
        # Create temp dir for output of animate1D/2D
        save_dir = tmp_path_factory.mktemp("test_data")
    
        # Generate some test data
        ds_list, file_list = create_bout_ds_list(
            "BOUT.dmp", nxpe=3, nype=3, syn_data_type="linear"
        )
        for ds, file_name in zip(ds_list, file_list):
            ds.to_netcdf(save_dir.joinpath(file_name))
    
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(save_dir.joinpath("BOUT.dmp.*.nc"))  # Open test data

xbout/tests/test_animate.py:25: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50191cb040>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
____ ERROR at setup of TestAnimate.test_animate_list_not_enough_nrowsncols _____

tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f501af90510>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

    @pytest.fixture
    def create_test_file(tmp_path_factory):
        # Create temp dir for output of animate1D/2D
        save_dir = tmp_path_factory.mktemp("test_data")
    
        # Generate some test data
        ds_list, file_list = create_bout_ds_list(
            "BOUT.dmp", nxpe=3, nype=3, syn_data_type="linear"
        )
        for ds, file_name in zip(ds_list, file_list):
            ds.to_netcdf(save_dir.joinpath(file_name))
    
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(save_dir.joinpath("BOUT.dmp.*.nc"))  # Open test data

xbout/tests/test_animate.py:25: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50189f9060>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
_______ ERROR at setup of TestAnimate.test_animate_list_subplots_adjust ________

tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f501af90510>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

    @pytest.fixture
    def create_test_file(tmp_path_factory):
        # Create temp dir for output of animate1D/2D
        save_dir = tmp_path_factory.mktemp("test_data")
    
        # Generate some test data
        ds_list, file_list = create_bout_ds_list(
            "BOUT.dmp", nxpe=3, nype=3, syn_data_type="linear"
        )
        for ds, file_name in zip(ds_list, file_list):
            ds.to_netcdf(save_dir.joinpath(file_name))
    
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(save_dir.joinpath("BOUT.dmp.*.nc"))  # Open test data

xbout/tests/test_animate.py:25: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5019510dc0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
_____________ ERROR at setup of TestAnimate.test_animate_list_vmin _____________

tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f501af90510>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

    @pytest.fixture
    def create_test_file(tmp_path_factory):
        # Create temp dir for output of animate1D/2D
        save_dir = tmp_path_factory.mktemp("test_data")
    
        # Generate some test data
        ds_list, file_list = create_bout_ds_list(
            "BOUT.dmp", nxpe=3, nype=3, syn_data_type="linear"
        )
        for ds, file_name in zip(ds_list, file_list):
            ds.to_netcdf(save_dir.joinpath(file_name))
    
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(save_dir.joinpath("BOUT.dmp.*.nc"))  # Open test data

xbout/tests/test_animate.py:25: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50191623e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
__________ ERROR at setup of TestAnimate.test_animate_list_vmin_list ___________

tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f501af90510>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

    @pytest.fixture
    def create_test_file(tmp_path_factory):
        # Create temp dir for output of animate1D/2D
        save_dir = tmp_path_factory.mktemp("test_data")
    
        # Generate some test data
        ds_list, file_list = create_bout_ds_list(
            "BOUT.dmp", nxpe=3, nype=3, syn_data_type="linear"
        )
        for ds, file_name in zip(ds_list, file_list):
            ds.to_netcdf(save_dir.joinpath(file_name))
    
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(save_dir.joinpath("BOUT.dmp.*.nc"))  # Open test data

xbout/tests/test_animate.py:25: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f501a6b3d00>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
_____________ ERROR at setup of TestAnimate.test_animate_list_vmax _____________

tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f501af90510>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

    @pytest.fixture
    def create_test_file(tmp_path_factory):
        # Create temp dir for output of animate1D/2D
        save_dir = tmp_path_factory.mktemp("test_data")
    
        # Generate some test data
        ds_list, file_list = create_bout_ds_list(
            "BOUT.dmp", nxpe=3, nype=3, syn_data_type="linear"
        )
        for ds, file_name in zip(ds_list, file_list):
            ds.to_netcdf(save_dir.joinpath(file_name))
    
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(save_dir.joinpath("BOUT.dmp.*.nc"))  # Open test data

xbout/tests/test_animate.py:25: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5018918100>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
__________ ERROR at setup of TestAnimate.test_animate_list_vmax_list ___________

tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f501af90510>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

    @pytest.fixture
    def create_test_file(tmp_path_factory):
        # Create temp dir for output of animate1D/2D
        save_dir = tmp_path_factory.mktemp("test_data")
    
        # Generate some test data
        ds_list, file_list = create_bout_ds_list(
            "BOUT.dmp", nxpe=3, nype=3, syn_data_type="linear"
        )
        for ds, file_name in zip(ds_list, file_list):
            ds.to_netcdf(save_dir.joinpath(file_name))
    
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(save_dir.joinpath("BOUT.dmp.*.nc"))  # Open test data

xbout/tests/test_animate.py:25: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5019442b00>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
___________ ERROR at setup of TestAnimate.test_animate_list_logscale ___________

tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f501af90510>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

    @pytest.fixture
    def create_test_file(tmp_path_factory):
        # Create temp dir for output of animate1D/2D
        save_dir = tmp_path_factory.mktemp("test_data")
    
        # Generate some test data
        ds_list, file_list = create_bout_ds_list(
            "BOUT.dmp", nxpe=3, nype=3, syn_data_type="linear"
        )
        for ds, file_name in zip(ds_list, file_list):
            ds.to_netcdf(save_dir.joinpath(file_name))
    
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(save_dir.joinpath("BOUT.dmp.*.nc"))  # Open test data

xbout/tests/test_animate.py:25: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50189ae3e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
________ ERROR at setup of TestAnimate.test_animate_list_logscale_float ________

tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f501af90510>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

    @pytest.fixture
    def create_test_file(tmp_path_factory):
        # Create temp dir for output of animate1D/2D
        save_dir = tmp_path_factory.mktemp("test_data")
    
        # Generate some test data
        ds_list, file_list = create_bout_ds_list(
            "BOUT.dmp", nxpe=3, nype=3, syn_data_type="linear"
        )
        for ds, file_name in zip(ds_list, file_list):
            ds.to_netcdf(save_dir.joinpath(file_name))
    
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(save_dir.joinpath("BOUT.dmp.*.nc"))  # Open test data

xbout/tests/test_animate.py:25: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5018787280>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
________ ERROR at setup of TestAnimate.test_animate_list_logscale_list _________

tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f501af90510>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

    @pytest.fixture
    def create_test_file(tmp_path_factory):
        # Create temp dir for output of animate1D/2D
        save_dir = tmp_path_factory.mktemp("test_data")
    
        # Generate some test data
        ds_list, file_list = create_bout_ds_list(
            "BOUT.dmp", nxpe=3, nype=3, syn_data_type="linear"
        )
        for ds, file_name in zip(ds_list, file_list):
            ds.to_netcdf(save_dir.joinpath(file_name))
    
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(save_dir.joinpath("BOUT.dmp.*.nc"))  # Open test data

xbout/tests/test_animate.py:25: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5018f86440>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
_________ ERROR at setup of TestAnimate.test_animate_list_titles_list __________

tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f501af90510>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

    @pytest.fixture
    def create_test_file(tmp_path_factory):
        # Create temp dir for output of animate1D/2D
        save_dir = tmp_path_factory.mktemp("test_data")
    
        # Generate some test data
        ds_list, file_list = create_bout_ds_list(
            "BOUT.dmp", nxpe=3, nype=3, syn_data_type="linear"
        )
        for ds, file_name in zip(ds_list, file_list):
            ds.to_netcdf(save_dir.joinpath(file_name))
    
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(save_dir.joinpath("BOUT.dmp.*.nc"))  # Open test data

xbout/tests/test_animate.py:25: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f501929bac0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
___ ERROR at setup of TestAnimate.test_animate_list_controls_arg[controls0] ____

tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f501af90510>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

    @pytest.fixture
    def create_test_file(tmp_path_factory):
        # Create temp dir for output of animate1D/2D
        save_dir = tmp_path_factory.mktemp("test_data")
    
        # Generate some test data
        ds_list, file_list = create_bout_ds_list(
            "BOUT.dmp", nxpe=3, nype=3, syn_data_type="linear"
        )
        for ds, file_name in zip(ds_list, file_list):
            ds.to_netcdf(save_dir.joinpath(file_name))
    
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(save_dir.joinpath("BOUT.dmp.*.nc"))  # Open test data

xbout/tests/test_animate.py:25: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50188e9000>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
___ ERROR at setup of TestAnimate.test_animate_list_controls_arg[controls1] ____

tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f501af90510>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

    @pytest.fixture
    def create_test_file(tmp_path_factory):
        # Create temp dir for output of animate1D/2D
        save_dir = tmp_path_factory.mktemp("test_data")
    
        # Generate some test data
        ds_list, file_list = create_bout_ds_list(
            "BOUT.dmp", nxpe=3, nype=3, syn_data_type="linear"
        )
        for ds, file_name in zip(ds_list, file_list):
            ds.to_netcdf(save_dir.joinpath(file_name))
    
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(save_dir.joinpath("BOUT.dmp.*.nc"))  # Open test data

xbout/tests/test_animate.py:25: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5018734fa0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
___ ERROR at setup of TestAnimate.test_animate_list_controls_arg[controls2] ____

tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f501af90510>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

    @pytest.fixture
    def create_test_file(tmp_path_factory):
        # Create temp dir for output of animate1D/2D
        save_dir = tmp_path_factory.mktemp("test_data")
    
        # Generate some test data
        ds_list, file_list = create_bout_ds_list(
            "BOUT.dmp", nxpe=3, nype=3, syn_data_type="linear"
        )
        for ds, file_name in zip(ds_list, file_list):
            ds.to_netcdf(save_dir.joinpath(file_name))
    
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(save_dir.joinpath("BOUT.dmp.*.nc"))  # Open test data

xbout/tests/test_animate.py:25: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5018b5fdc0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
___ ERROR at setup of TestAnimate.test_animate_list_controls_arg[controls3] ____

tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f501af90510>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

    @pytest.fixture
    def create_test_file(tmp_path_factory):
        # Create temp dir for output of animate1D/2D
        save_dir = tmp_path_factory.mktemp("test_data")
    
        # Generate some test data
        ds_list, file_list = create_bout_ds_list(
            "BOUT.dmp", nxpe=3, nype=3, syn_data_type="linear"
        )
        for ds, file_name in zip(ds_list, file_list):
            ds.to_netcdf(save_dir.joinpath(file_name))
    
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(save_dir.joinpath("BOUT.dmp.*.nc"))  # Open test data

xbout/tests/test_animate.py:25: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5018eb0ac0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
___ ERROR at setup of TestAnimate.test_animate_list_controls_arg[controls4] ____

tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f501af90510>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

    @pytest.fixture
    def create_test_file(tmp_path_factory):
        # Create temp dir for output of animate1D/2D
        save_dir = tmp_path_factory.mktemp("test_data")
    
        # Generate some test data
        ds_list, file_list = create_bout_ds_list(
            "BOUT.dmp", nxpe=3, nype=3, syn_data_type="linear"
        )
        for ds, file_name in zip(ds_list, file_list):
            ds.to_netcdf(save_dir.joinpath(file_name))
    
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(save_dir.joinpath("BOUT.dmp.*.nc"))  # Open test data

xbout/tests/test_animate.py:25: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50191cdb40>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
___ ERROR at setup of TestAnimate.test_animate_list_controls_arg[controls5] ____

tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f501af90510>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

    @pytest.fixture
    def create_test_file(tmp_path_factory):
        # Create temp dir for output of animate1D/2D
        save_dir = tmp_path_factory.mktemp("test_data")
    
        # Generate some test data
        ds_list, file_list = create_bout_ds_list(
            "BOUT.dmp", nxpe=3, nype=3, syn_data_type="linear"
        )
        for ds, file_name in zip(ds_list, file_list):
            ds.to_netcdf(save_dir.joinpath(file_name))
    
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(save_dir.joinpath("BOUT.dmp.*.nc"))  # Open test data

xbout/tests/test_animate.py:25: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5019306c80>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
=================================== FAILURES ===================================
________________ TestAccuracyAgainstOldCollect.test_single_file ________________

self = <xbout.tests.test_against_collect.TestAccuracyAgainstOldCollect object at 0x7f501ac10190>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f501af90510>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

    def test_single_file(self, tmp_path_factory):
        # Create temp directory for files
        test_dir = tmp_path_factory.mktemp("test_data")
    
        # Generate some test data
        generated_ds = create_bout_ds(syn_data_type="linear")
        generated_ds.to_netcdf(test_dir.joinpath("BOUT.dmp.0.nc"))
    
        var = "n"
        expected = old_collect(var, path=test_dir, xguards=True, yguards=False)
    
        # Test against new standard - open_boutdataset
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(test_dir.joinpath("BOUT.dmp.0.nc"))

xbout/tests/test_against_collect.py:26: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f501a939ba0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
mxsub = 2 mysub = 4 mz = 7

nxpe = 1, nype = 1, npes = 1

Reading from 0: [0-1][0-3] -> [0-1][0-3]


__________ TestAccuracyAgainstOldCollect.test_multiple_files_along_x ___________

self = <xbout.tests.test_against_collect.TestAccuracyAgainstOldCollect object at 0x7f501ac10e10>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f501af90510>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

    def test_multiple_files_along_x(self, tmp_path_factory):
        # Create temp directory for files
        test_dir = tmp_path_factory.mktemp("test_data")
    
        # Generate some test data
        ds_list, file_list = create_bout_ds_list(
            "BOUT.dmp", nxpe=3, nype=1, syn_data_type="linear"
        )
        for temp_ds, file_name in zip(ds_list, file_list):
            temp_ds.to_netcdf(test_dir.joinpath(file_name))
    
        var = "n"
        expected = old_collect(var, path=test_dir, prefix="BOUT.dmp", xguards=True)
    
        # Test against new standard - open_boutdataset
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(test_dir.joinpath("BOUT.dmp.*.nc"))

xbout/tests/test_against_collect.py:54: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5018735300>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
mxsub = 2 mysub = 4 mz = 7

nxpe = 3, nype = 1, npes = 3

Reading from 0: [0-1][0-3] -> [0-1][0-3]

Reading from 1: [0-1][0-3] -> [2-3][0-3]

Reading from 2: [0-1][0-3] -> [4-5][0-3]


__________ TestAccuracyAgainstOldCollect.test_multiple_files_along_y ___________

self = <xbout.tests.test_against_collect.TestAccuracyAgainstOldCollect object at 0x7f501aba5810>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f501af90510>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

    def test_multiple_files_along_y(self, tmp_path_factory):
        # Create temp directory for files
        test_dir = tmp_path_factory.mktemp("test_data")
    
        # Generate some test data
        ds_list, file_list = create_bout_ds_list(
            "BOUT.dmp", nxpe=1, nype=3, syn_data_type="linear"
        )
        for temp_ds, file_name in zip(ds_list, file_list):
            temp_ds.to_netcdf(test_dir.joinpath(file_name))
    
        var = "n"
        expected = old_collect(var, path=test_dir, prefix="BOUT.dmp", xguards=True)
    
        # Test against new standard - .open_boutdataset
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(test_dir.joinpath("BOUT.dmp.*.nc"))

xbout/tests/test_against_collect.py:82: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50187653c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
mxsub = 2 mysub = 4 mz = 7

nxpe = 1, nype = 3, npes = 3

Reading from 0: [0-1][0-3] -> [0-1][0-3]

Reading from 1: [0-1][0-3] -> [0-1][4-7]

Reading from 2: [0-1][0-3] -> [0-1][8-11]


__________ TestAccuracyAgainstOldCollect.test_multiple_files_along_xy __________

self = <xbout.tests.test_against_collect.TestAccuracyAgainstOldCollect object at 0x7f501aba56e0>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f501af90510>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

    def test_multiple_files_along_xy(self, tmp_path_factory):
        # Create temp directory for files
        test_dir = tmp_path_factory.mktemp("test_data")
    
        # Generate some test data
        ds_list, file_list = create_bout_ds_list(
            "BOUT.dmp", nxpe=3, nype=3, syn_data_type="linear"
        )
        for temp_ds, file_name in zip(ds_list, file_list):
            temp_ds.to_netcdf(test_dir.joinpath(file_name))
    
        var = "n"
        expected = old_collect(var, path=test_dir, prefix="BOUT.dmp", xguards=True)
    
        # Test against new standard - .open_boutdataset
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(test_dir.joinpath("BOUT.dmp.*.nc"))

xbout/tests/test_against_collect.py:110: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f501932ee00>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
mxsub = 2 mysub = 4 mz = 7

nxpe = 3, nype = 3, npes = 9

Reading from 0: [0-1][0-3] -> [0-1][0-3]

Reading from 1: [0-1][0-3] -> [2-3][0-3]

Reading from 2: [0-1][0-3] -> [4-5][0-3]

Reading from 3: [0-1][0-3] -> [0-1][4-7]

Reading from 4: [0-1][0-3] -> [2-3][4-7]

Reading from 5: [0-1][0-3] -> [4-5][4-7]

Reading from 6: [0-1][0-3] -> [0-1][8-11]

Reading from 7: [0-1][0-3] -> [2-3][8-11]

Reading from 8: [0-1][0-3] -> [4-5][8-11]


_________________ TestAccuracyAgainstOldCollect.test_metadata __________________

self = <xbout.tests.test_against_collect.TestAccuracyAgainstOldCollect object at 0x7f501ab5ec30>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f501af90510>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')

    def test_metadata(self, tmp_path_factory):
        # Create temp directory for files
        test_dir = tmp_path_factory.mktemp("test_data")
    
        # Generate some test data
        generated_ds = create_bout_ds(syn_data_type="linear")
        generated_ds.to_netcdf(test_dir.joinpath("BOUT.dmp.0.nc"))
    
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(test_dir.joinpath("BOUT.dmp.*.nc"))

xbout/tests/test_against_collect.py:131: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f501885b940>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
___________________ TestBoutDataArrayMethods.test_to_dataset ___________________

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f501ac11590>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>

    def test_to_dataset(self, bout_xyt_example_files):
        dataset_list = bout_xyt_example_files(None, nxpe=3, nype=4, nt=1)
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(
                datapath=dataset_list, inputfilepath=None, keep_xboundaries=False
            )

xbout/tests/test_boutdataarray.py:20: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5019399de0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
_________ TestBoutDataArrayMethods.test_remove_yboundaries[False-0-0] __________

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f501ac11810>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
mxg = 0, myg = 0, remove_extra_upper = False

    @pytest.mark.parametrize("mxg", [0, pytest.param(2, marks=pytest.mark.long)])
    @pytest.mark.parametrize("myg", [pytest.param(0, marks=pytest.mark.long), 2])
    @pytest.mark.parametrize(
        "remove_extra_upper", [False, pytest.param(True, marks=pytest.mark.long)]
    )
    def test_remove_yboundaries(
        self, bout_xyt_example_files, mxg, myg, remove_extra_upper
    ):
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=1,
            nype=6,
            nt=1,
            grid="grid",
            guards={"x": mxg, "y": myg},
            topology="connected-double-null",
            syn_data_type="linear",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_yboundaries=True,
        )

xbout/tests/test_boutdataarray.py:50: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5019446320>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_________ TestBoutDataArrayMethods.test_remove_yboundaries[False-0-2] __________

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f501da4e650>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
mxg = 2, myg = 0, remove_extra_upper = False

    @pytest.mark.parametrize("mxg", [0, pytest.param(2, marks=pytest.mark.long)])
    @pytest.mark.parametrize("myg", [pytest.param(0, marks=pytest.mark.long), 2])
    @pytest.mark.parametrize(
        "remove_extra_upper", [False, pytest.param(True, marks=pytest.mark.long)]
    )
    def test_remove_yboundaries(
        self, bout_xyt_example_files, mxg, myg, remove_extra_upper
    ):
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=1,
            nype=6,
            nt=1,
            grid="grid",
            guards={"x": mxg, "y": myg},
            topology="connected-double-null",
            syn_data_type="linear",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_yboundaries=True,
        )

xbout/tests/test_boutdataarray.py:50: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5018bc2560>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_________ TestBoutDataArrayMethods.test_remove_yboundaries[False-2-0] __________

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f501e04cfc0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
mxg = 0, myg = 2, remove_extra_upper = False

    @pytest.mark.parametrize("mxg", [0, pytest.param(2, marks=pytest.mark.long)])
    @pytest.mark.parametrize("myg", [pytest.param(0, marks=pytest.mark.long), 2])
    @pytest.mark.parametrize(
        "remove_extra_upper", [False, pytest.param(True, marks=pytest.mark.long)]
    )
    def test_remove_yboundaries(
        self, bout_xyt_example_files, mxg, myg, remove_extra_upper
    ):
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=1,
            nype=6,
            nt=1,
            grid="grid",
            guards={"x": mxg, "y": myg},
            topology="connected-double-null",
            syn_data_type="linear",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_yboundaries=True,
        )

xbout/tests/test_boutdataarray.py:50: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5018d367a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_________ TestBoutDataArrayMethods.test_remove_yboundaries[False-2-2] __________

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f501ecbd370>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
mxg = 2, myg = 2, remove_extra_upper = False

    @pytest.mark.parametrize("mxg", [0, pytest.param(2, marks=pytest.mark.long)])
    @pytest.mark.parametrize("myg", [pytest.param(0, marks=pytest.mark.long), 2])
    @pytest.mark.parametrize(
        "remove_extra_upper", [False, pytest.param(True, marks=pytest.mark.long)]
    )
    def test_remove_yboundaries(
        self, bout_xyt_example_files, mxg, myg, remove_extra_upper
    ):
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=1,
            nype=6,
            nt=1,
            grid="grid",
            guards={"x": mxg, "y": myg},
            topology="connected-double-null",
            syn_data_type="linear",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_yboundaries=True,
        )

xbout/tests/test_boutdataarray.py:50: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5018cea8c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
__________ TestBoutDataArrayMethods.test_remove_yboundaries[True-0-0] __________

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f501ec9a8b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
mxg = 0, myg = 0, remove_extra_upper = True

    @pytest.mark.parametrize("mxg", [0, pytest.param(2, marks=pytest.mark.long)])
    @pytest.mark.parametrize("myg", [pytest.param(0, marks=pytest.mark.long), 2])
    @pytest.mark.parametrize(
        "remove_extra_upper", [False, pytest.param(True, marks=pytest.mark.long)]
    )
    def test_remove_yboundaries(
        self, bout_xyt_example_files, mxg, myg, remove_extra_upper
    ):
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=1,
            nype=6,
            nt=1,
            grid="grid",
            guards={"x": mxg, "y": myg},
            topology="connected-double-null",
            syn_data_type="linear",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_yboundaries=True,
        )

xbout/tests/test_boutdataarray.py:50: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50187176a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
__________ TestBoutDataArrayMethods.test_remove_yboundaries[True-0-2] __________

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f501abae690>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
mxg = 2, myg = 0, remove_extra_upper = True

    @pytest.mark.parametrize("mxg", [0, pytest.param(2, marks=pytest.mark.long)])
    @pytest.mark.parametrize("myg", [pytest.param(0, marks=pytest.mark.long), 2])
    @pytest.mark.parametrize(
        "remove_extra_upper", [False, pytest.param(True, marks=pytest.mark.long)]
    )
    def test_remove_yboundaries(
        self, bout_xyt_example_files, mxg, myg, remove_extra_upper
    ):
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=1,
            nype=6,
            nt=1,
            grid="grid",
            guards={"x": mxg, "y": myg},
            topology="connected-double-null",
            syn_data_type="linear",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_yboundaries=True,
        )

xbout/tests/test_boutdataarray.py:50: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50191cb2e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
__________ TestBoutDataArrayMethods.test_remove_yboundaries[True-2-0] __________

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f501a676e50>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
mxg = 0, myg = 2, remove_extra_upper = True

    @pytest.mark.parametrize("mxg", [0, pytest.param(2, marks=pytest.mark.long)])
    @pytest.mark.parametrize("myg", [pytest.param(0, marks=pytest.mark.long), 2])
    @pytest.mark.parametrize(
        "remove_extra_upper", [False, pytest.param(True, marks=pytest.mark.long)]
    )
    def test_remove_yboundaries(
        self, bout_xyt_example_files, mxg, myg, remove_extra_upper
    ):
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=1,
            nype=6,
            nt=1,
            grid="grid",
            guards={"x": mxg, "y": myg},
            topology="connected-double-null",
            syn_data_type="linear",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_yboundaries=True,
        )

xbout/tests/test_boutdataarray.py:50: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5018764ee0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
__________ TestBoutDataArrayMethods.test_remove_yboundaries[True-2-2] __________

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f501a677050>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
mxg = 2, myg = 2, remove_extra_upper = True

    @pytest.mark.parametrize("mxg", [0, pytest.param(2, marks=pytest.mark.long)])
    @pytest.mark.parametrize("myg", [pytest.param(0, marks=pytest.mark.long), 2])
    @pytest.mark.parametrize(
        "remove_extra_upper", [False, pytest.param(True, marks=pytest.mark.long)]
    )
    def test_remove_yboundaries(
        self, bout_xyt_example_files, mxg, myg, remove_extra_upper
    ):
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=1,
            nype=6,
            nt=1,
            grid="grid",
            guards={"x": mxg, "y": myg},
            topology="connected-double-null",
            syn_data_type="linear",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_yboundaries=True,
        )

xbout/tests/test_boutdataarray.py:50: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5018ebb1c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
___________ TestBoutDataArrayMethods.test_to_field_aligned[False-6] ____________

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f501b40b6b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
nz = 6, permute_dims = False

    @pytest.mark.parametrize(
        "nz",
        [
            pytest.param(6, marks=pytest.mark.long),
            7,
            pytest.param(8, marks=pytest.mark.long),
            pytest.param(9, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "permute_dims", [False, pytest.param(True, marks=pytest.mark.long)]
    )
    def test_to_field_aligned(self, bout_xyt_example_files, nz, permute_dims):
        dataset_list = bout_xyt_example_files(
            None, lengths=(3, 3, 4, nz), nxpe=1, nype=1, nt=1
        )
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(
                datapath=dataset_list, inputfilepath=None, keep_xboundaries=False
            )

xbout/tests/test_boutdataarray.py:107: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f501928bf40>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
___________ TestBoutDataArrayMethods.test_to_field_aligned[False-7] ____________

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f501b40b5c0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
nz = 7, permute_dims = False

    @pytest.mark.parametrize(
        "nz",
        [
            pytest.param(6, marks=pytest.mark.long),
            7,
            pytest.param(8, marks=pytest.mark.long),
            pytest.param(9, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "permute_dims", [False, pytest.param(True, marks=pytest.mark.long)]
    )
    def test_to_field_aligned(self, bout_xyt_example_files, nz, permute_dims):
        dataset_list = bout_xyt_example_files(
            None, lengths=(3, 3, 4, nz), nxpe=1, nype=1, nt=1
        )
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(
                datapath=dataset_list, inputfilepath=None, keep_xboundaries=False
            )

xbout/tests/test_boutdataarray.py:107: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5018abf340>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
___________ TestBoutDataArrayMethods.test_to_field_aligned[False-8] ____________

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f501aa79390>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
nz = 8, permute_dims = False

    @pytest.mark.parametrize(
        "nz",
        [
            pytest.param(6, marks=pytest.mark.long),
            7,
            pytest.param(8, marks=pytest.mark.long),
            pytest.param(9, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "permute_dims", [False, pytest.param(True, marks=pytest.mark.long)]
    )
    def test_to_field_aligned(self, bout_xyt_example_files, nz, permute_dims):
        dataset_list = bout_xyt_example_files(
            None, lengths=(3, 3, 4, nz), nxpe=1, nype=1, nt=1
        )
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(
                datapath=dataset_list, inputfilepath=None, keep_xboundaries=False
            )

xbout/tests/test_boutdataarray.py:107: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5018b5ed40>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
___________ TestBoutDataArrayMethods.test_to_field_aligned[False-9] ____________

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f501aa79010>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
nz = 9, permute_dims = False

    @pytest.mark.parametrize(
        "nz",
        [
            pytest.param(6, marks=pytest.mark.long),
            7,
            pytest.param(8, marks=pytest.mark.long),
            pytest.param(9, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "permute_dims", [False, pytest.param(True, marks=pytest.mark.long)]
    )
    def test_to_field_aligned(self, bout_xyt_example_files, nz, permute_dims):
        dataset_list = bout_xyt_example_files(
            None, lengths=(3, 3, 4, nz), nxpe=1, nype=1, nt=1
        )
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(
                datapath=dataset_list, inputfilepath=None, keep_xboundaries=False
            )

xbout/tests/test_boutdataarray.py:107: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50192de200>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
____________ TestBoutDataArrayMethods.test_to_field_aligned[True-6] ____________

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f501e797a00>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
nz = 6, permute_dims = True

    @pytest.mark.parametrize(
        "nz",
        [
            pytest.param(6, marks=pytest.mark.long),
            7,
            pytest.param(8, marks=pytest.mark.long),
            pytest.param(9, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "permute_dims", [False, pytest.param(True, marks=pytest.mark.long)]
    )
    def test_to_field_aligned(self, bout_xyt_example_files, nz, permute_dims):
        dataset_list = bout_xyt_example_files(
            None, lengths=(3, 3, 4, nz), nxpe=1, nype=1, nt=1
        )
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(
                datapath=dataset_list, inputfilepath=None, keep_xboundaries=False
            )

xbout/tests/test_boutdataarray.py:107: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5018c95ba0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
____________ TestBoutDataArrayMethods.test_to_field_aligned[True-7] ____________

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f501ad3b890>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
nz = 7, permute_dims = True

    @pytest.mark.parametrize(
        "nz",
        [
            pytest.param(6, marks=pytest.mark.long),
            7,
            pytest.param(8, marks=pytest.mark.long),
            pytest.param(9, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "permute_dims", [False, pytest.param(True, marks=pytest.mark.long)]
    )
    def test_to_field_aligned(self, bout_xyt_example_files, nz, permute_dims):
        dataset_list = bout_xyt_example_files(
            None, lengths=(3, 3, 4, nz), nxpe=1, nype=1, nt=1
        )
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(
                datapath=dataset_list, inputfilepath=None, keep_xboundaries=False
            )

xbout/tests/test_boutdataarray.py:107: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5018ccc640>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
____________ TestBoutDataArrayMethods.test_to_field_aligned[True-8] ____________

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f501ad3b7d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
nz = 8, permute_dims = True

    @pytest.mark.parametrize(
        "nz",
        [
            pytest.param(6, marks=pytest.mark.long),
            7,
            pytest.param(8, marks=pytest.mark.long),
            pytest.param(9, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "permute_dims", [False, pytest.param(True, marks=pytest.mark.long)]
    )
    def test_to_field_aligned(self, bout_xyt_example_files, nz, permute_dims):
        dataset_list = bout_xyt_example_files(
            None, lengths=(3, 3, 4, nz), nxpe=1, nype=1, nt=1
        )
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(
                datapath=dataset_list, inputfilepath=None, keep_xboundaries=False
            )

xbout/tests/test_boutdataarray.py:107: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5018d22800>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
____________ TestBoutDataArrayMethods.test_to_field_aligned[True-9] ____________

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f501ac06830>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
nz = 9, permute_dims = True

    @pytest.mark.parametrize(
        "nz",
        [
            pytest.param(6, marks=pytest.mark.long),
            7,
            pytest.param(8, marks=pytest.mark.long),
            pytest.param(9, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "permute_dims", [False, pytest.param(True, marks=pytest.mark.long)]
    )
    def test_to_field_aligned(self, bout_xyt_example_files, nz, permute_dims):
        dataset_list = bout_xyt_example_files(
            None, lengths=(3, 3, 4, nz), nxpe=1, nype=1, nt=1
        )
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(
                datapath=dataset_list, inputfilepath=None, keep_xboundaries=False
            )

xbout/tests/test_boutdataarray.py:107: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5018d35120>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
__________ TestBoutDataArrayMethods.test_to_field_aligned_dask[False] __________

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f501ac05650>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
permute_dims = False

    @pytest.mark.parametrize(
        "permute_dims", [False, pytest.param(True, marks=pytest.mark.long)]
    )
    def test_to_field_aligned_dask(self, bout_xyt_example_files, permute_dims):
        nz = 6
    
        dataset_list = bout_xyt_example_files(
            None, lengths=(3, 3, 4, nz), nxpe=1, nype=1, nt=1
        )
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(
                datapath=dataset_list, inputfilepath=None, keep_xboundaries=False
            )

xbout/tests/test_boutdataarray.py:216: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5018be3100>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
__________ TestBoutDataArrayMethods.test_to_field_aligned_dask[True] ___________

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f501abdf110>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
permute_dims = True

    @pytest.mark.parametrize(
        "permute_dims", [False, pytest.param(True, marks=pytest.mark.long)]
    )
    def test_to_field_aligned_dask(self, bout_xyt_example_files, permute_dims):
        nz = 6
    
        dataset_list = bout_xyt_example_files(
            None, lengths=(3, 3, 4, nz), nxpe=1, nype=1, nt=1
        )
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(
                datapath=dataset_list, inputfilepath=None, keep_xboundaries=False
            )

xbout/tests/test_boutdataarray.py:216: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5018bc1c00>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
__________ TestBoutDataArrayMethods.test_from_field_aligned[False-6] ___________

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f501abdf2f0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
nz = 6, permute_dims = False

    @pytest.mark.parametrize(
        "nz",
        [
            pytest.param(6, marks=pytest.mark.long),
            7,
            pytest.param(8, marks=pytest.mark.long),
            pytest.param(9, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "permute_dims", [False, pytest.param(True, marks=pytest.mark.long)]
    )
    def test_from_field_aligned(self, bout_xyt_example_files, nz, permute_dims):
        dataset_list = bout_xyt_example_files(
            None, lengths=(3, 3, 4, nz), nxpe=1, nype=1, nt=1
        )
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(
                datapath=dataset_list, inputfilepath=None, keep_xboundaries=False
            )

xbout/tests/test_boutdataarray.py:337: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f501940a4a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
__________ TestBoutDataArrayMethods.test_from_field_aligned[False-7] ___________

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f501ab93650>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
nz = 7, permute_dims = False

    @pytest.mark.parametrize(
        "nz",
        [
            pytest.param(6, marks=pytest.mark.long),
            7,
            pytest.param(8, marks=pytest.mark.long),
            pytest.param(9, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "permute_dims", [False, pytest.param(True, marks=pytest.mark.long)]
    )
    def test_from_field_aligned(self, bout_xyt_example_files, nz, permute_dims):
        dataset_list = bout_xyt_example_files(
            None, lengths=(3, 3, 4, nz), nxpe=1, nype=1, nt=1
        )
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(
                datapath=dataset_list, inputfilepath=None, keep_xboundaries=False
            )

xbout/tests/test_boutdataarray.py:337: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5018d0bee0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
__________ TestBoutDataArrayMethods.test_from_field_aligned[False-8] ___________

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f501a7a55d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
nz = 8, permute_dims = False

    @pytest.mark.parametrize(
        "nz",
        [
            pytest.param(6, marks=pytest.mark.long),
            7,
            pytest.param(8, marks=pytest.mark.long),
            pytest.param(9, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "permute_dims", [False, pytest.param(True, marks=pytest.mark.long)]
    )
    def test_from_field_aligned(self, bout_xyt_example_files, nz, permute_dims):
        dataset_list = bout_xyt_example_files(
            None, lengths=(3, 3, 4, nz), nxpe=1, nype=1, nt=1
        )
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(
                datapath=dataset_list, inputfilepath=None, keep_xboundaries=False
            )

xbout/tests/test_boutdataarray.py:337: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5019446ce0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
__________ TestBoutDataArrayMethods.test_from_field_aligned[False-9] ___________

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f501a7a52d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
nz = 9, permute_dims = False

    @pytest.mark.parametrize(
        "nz",
        [
            pytest.param(6, marks=pytest.mark.long),
            7,
            pytest.param(8, marks=pytest.mark.long),
            pytest.param(9, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "permute_dims", [False, pytest.param(True, marks=pytest.mark.long)]
    )
    def test_from_field_aligned(self, bout_xyt_example_files, nz, permute_dims):
        dataset_list = bout_xyt_example_files(
            None, lengths=(3, 3, 4, nz), nxpe=1, nype=1, nt=1
        )
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(
                datapath=dataset_list, inputfilepath=None, keep_xboundaries=False
            )

xbout/tests/test_boutdataarray.py:337: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5018d5ebc0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
___________ TestBoutDataArrayMethods.test_from_field_aligned[True-6] ___________

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f501a8299b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
nz = 6, permute_dims = True

    @pytest.mark.parametrize(
        "nz",
        [
            pytest.param(6, marks=pytest.mark.long),
            7,
            pytest.param(8, marks=pytest.mark.long),
            pytest.param(9, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "permute_dims", [False, pytest.param(True, marks=pytest.mark.long)]
    )
    def test_from_field_aligned(self, bout_xyt_example_files, nz, permute_dims):
        dataset_list = bout_xyt_example_files(
            None, lengths=(3, 3, 4, nz), nxpe=1, nype=1, nt=1
        )
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(
                datapath=dataset_list, inputfilepath=None, keep_xboundaries=False
            )

xbout/tests/test_boutdataarray.py:337: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5018db85e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
___________ TestBoutDataArrayMethods.test_from_field_aligned[True-7] ___________

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f501a829a90>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
nz = 7, permute_dims = True

    @pytest.mark.parametrize(
        "nz",
        [
            pytest.param(6, marks=pytest.mark.long),
            7,
            pytest.param(8, marks=pytest.mark.long),
            pytest.param(9, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "permute_dims", [False, pytest.param(True, marks=pytest.mark.long)]
    )
    def test_from_field_aligned(self, bout_xyt_example_files, nz, permute_dims):
        dataset_list = bout_xyt_example_files(
            None, lengths=(3, 3, 4, nz), nxpe=1, nype=1, nt=1
        )
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(
                datapath=dataset_list, inputfilepath=None, keep_xboundaries=False
            )

xbout/tests/test_boutdataarray.py:337: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5018eb0fa0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
___________ TestBoutDataArrayMethods.test_from_field_aligned[True-8] ___________

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f501ecd82f0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
nz = 8, permute_dims = True

    @pytest.mark.parametrize(
        "nz",
        [
            pytest.param(6, marks=pytest.mark.long),
            7,
            pytest.param(8, marks=pytest.mark.long),
            pytest.param(9, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "permute_dims", [False, pytest.param(True, marks=pytest.mark.long)]
    )
    def test_from_field_aligned(self, bout_xyt_example_files, nz, permute_dims):
        dataset_list = bout_xyt_example_files(
            None, lengths=(3, 3, 4, nz), nxpe=1, nype=1, nt=1
        )
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(
                datapath=dataset_list, inputfilepath=None, keep_xboundaries=False
            )

xbout/tests/test_boutdataarray.py:337: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50187849a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
___________ TestBoutDataArrayMethods.test_from_field_aligned[True-9] ___________

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f501ec576b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
nz = 9, permute_dims = True

    @pytest.mark.parametrize(
        "nz",
        [
            pytest.param(6, marks=pytest.mark.long),
            7,
            pytest.param(8, marks=pytest.mark.long),
            pytest.param(9, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "permute_dims", [False, pytest.param(True, marks=pytest.mark.long)]
    )
    def test_from_field_aligned(self, bout_xyt_example_files, nz, permute_dims):
        dataset_list = bout_xyt_example_files(
            None, lengths=(3, 3, 4, nz), nxpe=1, nype=1, nt=1
        )
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(
                datapath=dataset_list, inputfilepath=None, keep_xboundaries=False
            )

xbout/tests/test_boutdataarray.py:337: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5019394100>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
__ TestBoutDataArrayMethods.test_to_field_aligned_staggered[False-CELL_XLOW] ___

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f501ac2f610>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
stag_location = 'CELL_XLOW', permute_dims = False

    @pytest.mark.parametrize("stag_location", ["CELL_XLOW", "CELL_YLOW", "CELL_ZLOW"])
    @pytest.mark.parametrize(
        "permute_dims", [False, pytest.param(True, marks=pytest.mark.long)]
    )
    def test_to_field_aligned_staggered(
        self, bout_xyt_example_files, stag_location, permute_dims
    ):
        dataset_list = bout_xyt_example_files(
            None, lengths=(3, 3, 4, 8), nxpe=1, nype=1, nt=1
        )
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(
                datapath=dataset_list, inputfilepath=None, keep_xboundaries=False
            )

xbout/tests/test_boutdataarray.py:447: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5018eb1480>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
__ TestBoutDataArrayMethods.test_to_field_aligned_staggered[False-CELL_YLOW] ___

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f501ac2f660>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
stag_location = 'CELL_YLOW', permute_dims = False

    @pytest.mark.parametrize("stag_location", ["CELL_XLOW", "CELL_YLOW", "CELL_ZLOW"])
    @pytest.mark.parametrize(
        "permute_dims", [False, pytest.param(True, marks=pytest.mark.long)]
    )
    def test_to_field_aligned_staggered(
        self, bout_xyt_example_files, stag_location, permute_dims
    ):
        dataset_list = bout_xyt_example_files(
            None, lengths=(3, 3, 4, 8), nxpe=1, nype=1, nt=1
        )
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(
                datapath=dataset_list, inputfilepath=None, keep_xboundaries=False
            )

xbout/tests/test_boutdataarray.py:447: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5018cdc160>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
__ TestBoutDataArrayMethods.test_to_field_aligned_staggered[False-CELL_ZLOW] ___

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f501ac2f6b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
stag_location = 'CELL_ZLOW', permute_dims = False

    @pytest.mark.parametrize("stag_location", ["CELL_XLOW", "CELL_YLOW", "CELL_ZLOW"])
    @pytest.mark.parametrize(
        "permute_dims", [False, pytest.param(True, marks=pytest.mark.long)]
    )
    def test_to_field_aligned_staggered(
        self, bout_xyt_example_files, stag_location, permute_dims
    ):
        dataset_list = bout_xyt_example_files(
            None, lengths=(3, 3, 4, 8), nxpe=1, nype=1, nt=1
        )
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(
                datapath=dataset_list, inputfilepath=None, keep_xboundaries=False
            )

xbout/tests/test_boutdataarray.py:447: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f501a6455a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
___ TestBoutDataArrayMethods.test_to_field_aligned_staggered[True-CELL_XLOW] ___

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f501ac2f700>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
stag_location = 'CELL_XLOW', permute_dims = True

    @pytest.mark.parametrize("stag_location", ["CELL_XLOW", "CELL_YLOW", "CELL_ZLOW"])
    @pytest.mark.parametrize(
        "permute_dims", [False, pytest.param(True, marks=pytest.mark.long)]
    )
    def test_to_field_aligned_staggered(
        self, bout_xyt_example_files, stag_location, permute_dims
    ):
        dataset_list = bout_xyt_example_files(
            None, lengths=(3, 3, 4, 8), nxpe=1, nype=1, nt=1
        )
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(
                datapath=dataset_list, inputfilepath=None, keep_xboundaries=False
            )

xbout/tests/test_boutdataarray.py:447: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50189fa3e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
___ TestBoutDataArrayMethods.test_to_field_aligned_staggered[True-CELL_YLOW] ___

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f501ac2f750>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
stag_location = 'CELL_YLOW', permute_dims = True

    @pytest.mark.parametrize("stag_location", ["CELL_XLOW", "CELL_YLOW", "CELL_ZLOW"])
    @pytest.mark.parametrize(
        "permute_dims", [False, pytest.param(True, marks=pytest.mark.long)]
    )
    def test_to_field_aligned_staggered(
        self, bout_xyt_example_files, stag_location, permute_dims
    ):
        dataset_list = bout_xyt_example_files(
            None, lengths=(3, 3, 4, 8), nxpe=1, nype=1, nt=1
        )
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(
                datapath=dataset_list, inputfilepath=None, keep_xboundaries=False
            )

xbout/tests/test_boutdataarray.py:447: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f501886a2c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
___ TestBoutDataArrayMethods.test_to_field_aligned_staggered[True-CELL_ZLOW] ___

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f501ac2f7a0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
stag_location = 'CELL_ZLOW', permute_dims = True

    @pytest.mark.parametrize("stag_location", ["CELL_XLOW", "CELL_YLOW", "CELL_ZLOW"])
    @pytest.mark.parametrize(
        "permute_dims", [False, pytest.param(True, marks=pytest.mark.long)]
    )
    def test_to_field_aligned_staggered(
        self, bout_xyt_example_files, stag_location, permute_dims
    ):
        dataset_list = bout_xyt_example_files(
            None, lengths=(3, 3, 4, 8), nxpe=1, nype=1, nt=1
        )
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(
                datapath=dataset_list, inputfilepath=None, keep_xboundaries=False
            )

xbout/tests/test_boutdataarray.py:447: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5019455fc0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
_ TestBoutDataArrayMethods.test_from_field_aligned_staggered[False-CELL_XLOW] __

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f501ac2f7f0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
stag_location = 'CELL_XLOW', permute_dims = False

    @pytest.mark.parametrize("stag_location", ["CELL_XLOW", "CELL_YLOW", "CELL_ZLOW"])
    @pytest.mark.parametrize(
        "permute_dims", [False, pytest.param(True, marks=pytest.mark.long)]
    )
    def test_from_field_aligned_staggered(
        self, bout_xyt_example_files, stag_location, permute_dims
    ):
        dataset_list = bout_xyt_example_files(
            None, lengths=(3, 3, 4, 8), nxpe=1, nype=1, nt=1
        )
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(
                datapath=dataset_list, inputfilepath=None, keep_xboundaries=False
            )

xbout/tests/test_boutdataarray.py:510: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50186f8100>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
_ TestBoutDataArrayMethods.test_from_field_aligned_staggered[False-CELL_YLOW] __

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f501ac2f840>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
stag_location = 'CELL_YLOW', permute_dims = False

    @pytest.mark.parametrize("stag_location", ["CELL_XLOW", "CELL_YLOW", "CELL_ZLOW"])
    @pytest.mark.parametrize(
        "permute_dims", [False, pytest.param(True, marks=pytest.mark.long)]
    )
    def test_from_field_aligned_staggered(
        self, bout_xyt_example_files, stag_location, permute_dims
    ):
        dataset_list = bout_xyt_example_files(
            None, lengths=(3, 3, 4, 8), nxpe=1, nype=1, nt=1
        )
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(
                datapath=dataset_list, inputfilepath=None, keep_xboundaries=False
            )

xbout/tests/test_boutdataarray.py:510: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5018b58220>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
_ TestBoutDataArrayMethods.test_from_field_aligned_staggered[False-CELL_ZLOW] __

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f501ac2f890>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
stag_location = 'CELL_ZLOW', permute_dims = False

    @pytest.mark.parametrize("stag_location", ["CELL_XLOW", "CELL_YLOW", "CELL_ZLOW"])
    @pytest.mark.parametrize(
        "permute_dims", [False, pytest.param(True, marks=pytest.mark.long)]
    )
    def test_from_field_aligned_staggered(
        self, bout_xyt_example_files, stag_location, permute_dims
    ):
        dataset_list = bout_xyt_example_files(
            None, lengths=(3, 3, 4, 8), nxpe=1, nype=1, nt=1
        )
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(
                datapath=dataset_list, inputfilepath=None, keep_xboundaries=False
            )

xbout/tests/test_boutdataarray.py:510: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50189aebc0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
__ TestBoutDataArrayMethods.test_from_field_aligned_staggered[True-CELL_XLOW] __

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f501ac2f8e0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
stag_location = 'CELL_XLOW', permute_dims = True

    @pytest.mark.parametrize("stag_location", ["CELL_XLOW", "CELL_YLOW", "CELL_ZLOW"])
    @pytest.mark.parametrize(
        "permute_dims", [False, pytest.param(True, marks=pytest.mark.long)]
    )
    def test_from_field_aligned_staggered(
        self, bout_xyt_example_files, stag_location, permute_dims
    ):
        dataset_list = bout_xyt_example_files(
            None, lengths=(3, 3, 4, 8), nxpe=1, nype=1, nt=1
        )
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(
                datapath=dataset_list, inputfilepath=None, keep_xboundaries=False
            )

xbout/tests/test_boutdataarray.py:510: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5018db8c40>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
__ TestBoutDataArrayMethods.test_from_field_aligned_staggered[True-CELL_YLOW] __

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f501ac2f930>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
stag_location = 'CELL_YLOW', permute_dims = True

    @pytest.mark.parametrize("stag_location", ["CELL_XLOW", "CELL_YLOW", "CELL_ZLOW"])
    @pytest.mark.parametrize(
        "permute_dims", [False, pytest.param(True, marks=pytest.mark.long)]
    )
    def test_from_field_aligned_staggered(
        self, bout_xyt_example_files, stag_location, permute_dims
    ):
        dataset_list = bout_xyt_example_files(
            None, lengths=(3, 3, 4, 8), nxpe=1, nype=1, nt=1
        )
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(
                datapath=dataset_list, inputfilepath=None, keep_xboundaries=False
            )

xbout/tests/test_boutdataarray.py:510: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5018d5f6a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
__ TestBoutDataArrayMethods.test_from_field_aligned_staggered[True-CELL_ZLOW] __

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f501ac2f980>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
stag_location = 'CELL_ZLOW', permute_dims = True

    @pytest.mark.parametrize("stag_location", ["CELL_XLOW", "CELL_YLOW", "CELL_ZLOW"])
    @pytest.mark.parametrize(
        "permute_dims", [False, pytest.param(True, marks=pytest.mark.long)]
    )
    def test_from_field_aligned_staggered(
        self, bout_xyt_example_files, stag_location, permute_dims
    ):
        dataset_list = bout_xyt_example_files(
            None, lengths=(3, 3, 4, 8), nxpe=1, nype=1, nt=1
        )
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(
                datapath=dataset_list, inputfilepath=None, keep_xboundaries=False
            )

xbout/tests/test_boutdataarray.py:510: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5019445e40>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
________ TestBoutDataArrayMethods.test_interpolate_parallel_region_core ________

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f501ac2f9d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>

    @pytest.mark.long
    def test_interpolate_parallel_region_core(self, bout_xyt_example_files):
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 16, 3),
            nxpe=1,
            nype=1,
            nt=1,
            grid="grid",
            guards={"y": 2},
            topology="core",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_yboundaries=True,
        )

xbout/tests/test_boutdataarray.py:577: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5018be1120>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
__ TestBoutDataArrayMethods.test_interpolate_parallel_region_core_change_n[2] __

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f501ac2fa20>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
res_factor = 2

    @pytest.mark.parametrize(
        "res_factor",
        [
            pytest.param(2, marks=pytest.mark.long),
            3,
            pytest.param(7, marks=pytest.mark.long),
            pytest.param(18, marks=pytest.mark.long),
        ],
    )
    def test_interpolate_parallel_region_core_change_n(
        self, bout_xyt_example_files, res_factor
    ):
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 16, 3),
            nxpe=1,
            nype=1,
            nt=1,
            grid="grid",
            guards={"y": 2},
            topology="core",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_yboundaries=True,
        )

xbout/tests/test_boutdataarray.py:635: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5018d202e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
__ TestBoutDataArrayMethods.test_interpolate_parallel_region_core_change_n[3] __

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f501ac2fa70>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
res_factor = 3

    @pytest.mark.parametrize(
        "res_factor",
        [
            pytest.param(2, marks=pytest.mark.long),
            3,
            pytest.param(7, marks=pytest.mark.long),
            pytest.param(18, marks=pytest.mark.long),
        ],
    )
    def test_interpolate_parallel_region_core_change_n(
        self, bout_xyt_example_files, res_factor
    ):
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 16, 3),
            nxpe=1,
            nype=1,
            nt=1,
            grid="grid",
            guards={"y": 2},
            topology="core",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_yboundaries=True,
        )

xbout/tests/test_boutdataarray.py:635: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5018ce8a00>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
__ TestBoutDataArrayMethods.test_interpolate_parallel_region_core_change_n[7] __

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f501ac2fac0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
res_factor = 7

    @pytest.mark.parametrize(
        "res_factor",
        [
            pytest.param(2, marks=pytest.mark.long),
            3,
            pytest.param(7, marks=pytest.mark.long),
            pytest.param(18, marks=pytest.mark.long),
        ],
    )
    def test_interpolate_parallel_region_core_change_n(
        self, bout_xyt_example_files, res_factor
    ):
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 16, 3),
            nxpe=1,
            nype=1,
            nt=1,
            grid="grid",
            guards={"y": 2},
            topology="core",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_yboundaries=True,
        )

xbout/tests/test_boutdataarray.py:635: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5018c95a80>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestBoutDataArrayMethods.test_interpolate_parallel_region_core_change_n[18] __

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f501ac2fb10>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
res_factor = 18

    @pytest.mark.parametrize(
        "res_factor",
        [
            pytest.param(2, marks=pytest.mark.long),
            3,
            pytest.param(7, marks=pytest.mark.long),
            pytest.param(18, marks=pytest.mark.long),
        ],
    )
    def test_interpolate_parallel_region_core_change_n(
        self, bout_xyt_example_files, res_factor
    ):
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 16, 3),
            nxpe=1,
            nype=1,
            nt=1,
            grid="grid",
            guards={"y": 2},
            topology="core",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_yboundaries=True,
        )

xbout/tests/test_boutdataarray.py:635: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50193b1660>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
________ TestBoutDataArrayMethods.test_interpolate_parallel_region_sol _________

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f501ac2fb60>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>

    @pytest.mark.long
    def test_interpolate_parallel_region_sol(self, bout_xyt_example_files):
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 16, 3),
            nxpe=1,
            nype=1,
            nt=1,
            grid="grid",
            guards={"y": 2},
            topology="sol",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_yboundaries=True,
        )

xbout/tests/test_boutdataarray.py:687: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50184aea40>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____ TestBoutDataArrayMethods.test_interpolate_parallel_region_singlenull _____

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f501ac2fbb0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>

    def test_interpolate_parallel_region_singlenull(self, bout_xyt_example_files):
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 16, 3),
            nxpe=1,
            nype=3,
            nt=1,
            grid="grid",
            guards={"y": 2},
            topology="single-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_yboundaries=True,
        )

xbout/tests/test_boutdataarray.py:734: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5019510100>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestBoutDataArrayMethods.test_interpolate_parallel ______________

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f501ac2fc00>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>

    def test_interpolate_parallel(self, bout_xyt_example_files):
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 16, 3),
            nxpe=1,
            nype=3,
            nt=1,
            grid="grid",
            guards={"y": 2},
            topology="single-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_yboundaries=True,
        )

xbout/tests/test_boutdataarray.py:806: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50187e7a00>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
____________ TestBoutDataArrayMethods.test_interpolate_parallel_sol ____________

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f501ac2fc50>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>

    def test_interpolate_parallel_sol(self, bout_xyt_example_files):
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 16, 3),
            nxpe=1,
            nype=1,
            nt=1,
            grid="grid",
            guards={"y": 2},
            topology="sol",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_yboundaries=True,
        )

xbout/tests/test_boutdataarray.py:860: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5018b59a20>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______ TestBoutDataArrayMethods.test_interpolate_parallel_toroidal_points ______

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f501ac2fca0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>

    def test_interpolate_parallel_toroidal_points(self, bout_xyt_example_files):
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 16, 3),
            nxpe=1,
            nype=3,
            nt=1,
            grid="grid",
            guards={"y": 2},
            topology="single-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_yboundaries=True,
        )

xbout/tests/test_boutdataarray.py:912: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50189f8ac0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
___ TestBoutDataArrayMethods.test_interpolate_parallel_toroidal_points_list ____

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f501ac2fcf0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>

    def test_interpolate_parallel_toroidal_points_list(self, bout_xyt_example_files):
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 16, 3),
            nxpe=1,
            nype=3,
            nt=1,
            grid="grid",
            guards={"y": 2},
            topology="single-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_yboundaries=True,
        )

xbout/tests/test_boutdataarray.py:937: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50192b0400>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
____________ TestBoutDataArrayMethods.test_interpolate_to_cartesian ____________

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f501ac2fd40>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>

    def test_interpolate_to_cartesian(self, bout_xyt_example_files):
        dataset_list = bout_xyt_example_files(
            None, lengths=(2, 16, 17, 18), nxpe=1, nype=1, nt=1
        )
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(
                datapath=dataset_list, inputfilepath=None, keep_xboundaries=False
            )

xbout/tests/test_boutdataarray.py:959: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5018eb0dc0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
___________ TestBoutDataArrayMethods.test_add_cartesian_coordinates ____________

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f501ac2fd90>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>

    def test_add_cartesian_coordinates(self, bout_xyt_example_files):
        dataset_list = bout_xyt_example_files(None, nxpe=1, nype=1, nt=1)
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(
                datapath=dataset_list, inputfilepath=None, keep_xboundaries=False
            )

xbout/tests/test_boutdataarray.py:999: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5018a47460>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
______________________ TestBoutDataArrayMethods.test_ddx _______________________

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f501ac2fde0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>

    def test_ddx(self, bout_xyt_example_files):
        nx = 64
    
        dataset_list = bout_xyt_example_files(
            None,
            lengths=(2, nx, 4, 3),
            nxpe=1,
            nype=1,
        )
    
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(
                datapath=dataset_list,
            )

xbout/tests/test_boutdataarray.py:1044: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50187fc580>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
______________________ TestBoutDataArrayMethods.test_ddy _______________________

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f501ac2fe30>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>

    def test_ddy(self, bout_xyt_example_files):
        ny = 64
    
        dataset_list, gridfilepath = bout_xyt_example_files(
            None,
            lengths=(2, 3, ny, 4),
            nxpe=1,
            nype=1,
            grid="grid",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list, geometry="toroidal", gridfilepath=gridfilepath
        )

xbout/tests/test_boutdataarray.py:1078: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5018e58dc0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________________ TestBoutDataArrayMethods.test_ddz _______________________

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f501ac2fe80>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>

    def test_ddz(self, bout_xyt_example_files):
        dataset_list = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 64),
            nxpe=1,
            nype=1,
        )
    
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(
                datapath=dataset_list,
            )

xbout/tests/test_boutdataarray.py:1109: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5018d620e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
_____________ TestBoutDataArrayMethods.test_derivatives_doublenull _____________

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f501ac2fed0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>

    def test_derivatives_doublenull(self, bout_xyt_example_files):
        # Check function does not error on double-null topology
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=1,
            nype=6,
            nt=1,
            grid="grid",
            guards={"x": 2, "y": 2},
            topology="connected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_yboundaries=True,
        )

xbout/tests/test_boutdataarray.py:1141: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5019106620>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
__________________ TestBoutDatasetIsXarrayDataset.test_concat __________________

self = <xbout.tests.test_boutdataset.TestBoutDatasetIsXarrayDataset object at 0x7f501ac139d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>

    def test_concat(self, bout_xyt_example_files):
        dataset_list1 = bout_xyt_example_files(None, nxpe=3, nype=4, nt=1)
        with pytest.warns(UserWarning):
>           bd1 = open_boutdataset(
                datapath=dataset_list1, inputfilepath=None, keep_xboundaries=False
            )

xbout/tests/test_boutdataset.py:36: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f501948fd60>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
___________________ TestBoutDatasetIsXarrayDataset.test_isel ___________________

self = <xbout.tests.test_boutdataset.TestBoutDatasetIsXarrayDataset object at 0x7f501ac13ed0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>

    def test_isel(self, bout_xyt_example_files):
        dataset_list = bout_xyt_example_files(None, nxpe=1, nype=1, nt=1)
        with pytest.warns(UserWarning):
>           bd = open_boutdataset(
                datapath=dataset_list, inputfilepath=None, keep_xboundaries=False
            )

xbout/tests/test_boutdataset.py:50: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50191cdd80>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
________________ TestBoutDatasetMethods.test_get_field_aligned _________________

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f501a5b8050>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>

    def test_get_field_aligned(self, bout_xyt_example_files):
        dataset_list = bout_xyt_example_files(None, nxpe=3, nype=4, nt=1)
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(
                datapath=dataset_list, inputfilepath=None, keep_xboundaries=False
            )

xbout/tests/test_boutdataset.py:62: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5018ccd240>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
_____________ TestBoutDatasetMethods.test_remove_yboundaries[0-0] ______________

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f501a5b8190>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
mxg = 0, myg = 0

    @pytest.mark.parametrize("mxg", [0, pytest.param(2, marks=pytest.mark.long)])
    @pytest.mark.parametrize("myg", [pytest.param(0, marks=pytest.mark.long), 2])
    def test_remove_yboundaries(self, bout_xyt_example_files, mxg, myg):
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=1,
            nype=6,
            nt=1,
            grid="grid",
            guards={"x": mxg, "y": myg},
            topology="connected-double-null",
            syn_data_type="linear",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_yboundaries=True,
        )

xbout/tests/test_boutdataset.py:103: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5018be21a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestBoutDatasetMethods.test_remove_yboundaries[0-2] ______________

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f501b3bfe10>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
mxg = 2, myg = 0

    @pytest.mark.parametrize("mxg", [0, pytest.param(2, marks=pytest.mark.long)])
    @pytest.mark.parametrize("myg", [pytest.param(0, marks=pytest.mark.long), 2])
    def test_remove_yboundaries(self, bout_xyt_example_files, mxg, myg):
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=1,
            nype=6,
            nt=1,
            grid="grid",
            guards={"x": mxg, "y": myg},
            topology="connected-double-null",
            syn_data_type="linear",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_yboundaries=True,
        )

xbout/tests/test_boutdataset.py:103: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50194e3820>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestBoutDatasetMethods.test_remove_yboundaries[2-0] ______________

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f501aba6fd0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
mxg = 0, myg = 2

    @pytest.mark.parametrize("mxg", [0, pytest.param(2, marks=pytest.mark.long)])
    @pytest.mark.parametrize("myg", [pytest.param(0, marks=pytest.mark.long), 2])
    def test_remove_yboundaries(self, bout_xyt_example_files, mxg, myg):
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=1,
            nype=6,
            nt=1,
            grid="grid",
            guards={"x": mxg, "y": myg},
            topology="connected-double-null",
            syn_data_type="linear",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_yboundaries=True,
        )

xbout/tests/test_boutdataset.py:103: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f501a70dae0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestBoutDatasetMethods.test_remove_yboundaries[2-2] ______________

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f501a741b50>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
mxg = 2, myg = 2

    @pytest.mark.parametrize("mxg", [0, pytest.param(2, marks=pytest.mark.long)])
    @pytest.mark.parametrize("myg", [pytest.param(0, marks=pytest.mark.long), 2])
    def test_remove_yboundaries(self, bout_xyt_example_files, mxg, myg):
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=1,
            nype=6,
            nt=1,
            grid="grid",
            guards={"x": mxg, "y": myg},
            topology="connected-double-null",
            syn_data_type="linear",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_yboundaries=True,
        )

xbout/tests/test_boutdataset.py:103: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5018d96680>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_______________ TestBoutDatasetMethods.test_to_field_aligned[6] ________________

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f501abae580>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
nz = 6

    @pytest.mark.parametrize(
        "nz",
        [
            pytest.param(6, marks=pytest.mark.long),
            7,
            pytest.param(8, marks=pytest.mark.long),
            pytest.param(9, marks=pytest.mark.long),
        ],
    )
    def test_to_field_aligned(self, bout_xyt_example_files, nz):
        dataset_list = bout_xyt_example_files(
            None, lengths=(3, 3, 4, nz), nxpe=1, nype=1, nt=1
        )
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(
                datapath=dataset_list, inputfilepath=None, keep_xboundaries=False
            )

xbout/tests/test_boutdataset.py:163: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5018d77ca0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
_______________ TestBoutDatasetMethods.test_to_field_aligned[7] ________________

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f501a7fc160>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
nz = 7

    @pytest.mark.parametrize(
        "nz",
        [
            pytest.param(6, marks=pytest.mark.long),
            7,
            pytest.param(8, marks=pytest.mark.long),
            pytest.param(9, marks=pytest.mark.long),
        ],
    )
    def test_to_field_aligned(self, bout_xyt_example_files, nz):
        dataset_list = bout_xyt_example_files(
            None, lengths=(3, 3, 4, nz), nxpe=1, nype=1, nt=1
        )
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(
                datapath=dataset_list, inputfilepath=None, keep_xboundaries=False
            )

xbout/tests/test_boutdataset.py:163: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5018e3df60>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
_______________ TestBoutDatasetMethods.test_to_field_aligned[8] ________________

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f501a7b9850>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
nz = 8

    @pytest.mark.parametrize(
        "nz",
        [
            pytest.param(6, marks=pytest.mark.long),
            7,
            pytest.param(8, marks=pytest.mark.long),
            pytest.param(9, marks=pytest.mark.long),
        ],
    )
    def test_to_field_aligned(self, bout_xyt_example_files, nz):
        dataset_list = bout_xyt_example_files(
            None, lengths=(3, 3, 4, nz), nxpe=1, nype=1, nt=1
        )
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(
                datapath=dataset_list, inputfilepath=None, keep_xboundaries=False
            )

xbout/tests/test_boutdataset.py:163: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5018926b60>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
_______________ TestBoutDatasetMethods.test_to_field_aligned[9] ________________

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f501a7b9a50>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
nz = 9

    @pytest.mark.parametrize(
        "nz",
        [
            pytest.param(6, marks=pytest.mark.long),
            7,
            pytest.param(8, marks=pytest.mark.long),
            pytest.param(9, marks=pytest.mark.long),
        ],
    )
    def test_to_field_aligned(self, bout_xyt_example_files, nz):
        dataset_list = bout_xyt_example_files(
            None, lengths=(3, 3, 4, nz), nxpe=1, nype=1, nt=1
        )
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(
                datapath=dataset_list, inputfilepath=None, keep_xboundaries=False
            )

xbout/tests/test_boutdataset.py:163: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50188a3d60>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
______________ TestBoutDatasetMethods.test_to_field_aligned_dask _______________

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f501a9906e0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>

    def test_to_field_aligned_dask(self, bout_xyt_example_files):
        nz = 6
    
        dataset_list = bout_xyt_example_files(
            None, lengths=(3, 3, 4, nz), nxpe=1, nype=1, nt=1
        )
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(
                datapath=dataset_list, inputfilepath=None, keep_xboundaries=False
            )

xbout/tests/test_boutdataset.py:269: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50184e0160>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
______________ TestBoutDatasetMethods.test_from_field_aligned[6] _______________

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f501a9909b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
nz = 6

    @pytest.mark.parametrize(
        "nz",
        [
            pytest.param(6, marks=pytest.mark.long),
            7,
            pytest.param(8, marks=pytest.mark.long),
            pytest.param(9, marks=pytest.mark.long),
        ],
    )
    def test_from_field_aligned(self, bout_xyt_example_files, nz):
        dataset_list = bout_xyt_example_files(
            None, lengths=(3, 3, 4, nz), nxpe=1, nype=1, nt=1
        )
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(
                datapath=dataset_list, inputfilepath=None, keep_xboundaries=False
            )

xbout/tests/test_boutdataset.py:389: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5018783760>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
______________ TestBoutDatasetMethods.test_from_field_aligned[7] _______________

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f501a7de970>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
nz = 7

    @pytest.mark.parametrize(
        "nz",
        [
            pytest.param(6, marks=pytest.mark.long),
            7,
            pytest.param(8, marks=pytest.mark.long),
            pytest.param(9, marks=pytest.mark.long),
        ],
    )
    def test_from_field_aligned(self, bout_xyt_example_files, nz):
        dataset_list = bout_xyt_example_files(
            None, lengths=(3, 3, 4, nz), nxpe=1, nype=1, nt=1
        )
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(
                datapath=dataset_list, inputfilepath=None, keep_xboundaries=False
            )

xbout/tests/test_boutdataset.py:389: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5019124820>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
______________ TestBoutDatasetMethods.test_from_field_aligned[8] _______________

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f501a7deb30>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
nz = 8

    @pytest.mark.parametrize(
        "nz",
        [
            pytest.param(6, marks=pytest.mark.long),
            7,
            pytest.param(8, marks=pytest.mark.long),
            pytest.param(9, marks=pytest.mark.long),
        ],
    )
    def test_from_field_aligned(self, bout_xyt_example_files, nz):
        dataset_list = bout_xyt_example_files(
            None, lengths=(3, 3, 4, nz), nxpe=1, nype=1, nt=1
        )
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(
                datapath=dataset_list, inputfilepath=None, keep_xboundaries=False
            )

xbout/tests/test_boutdataset.py:389: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5018e59840>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
______________ TestBoutDatasetMethods.test_from_field_aligned[9] _______________

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f501aaf6410>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
nz = 9

    @pytest.mark.parametrize(
        "nz",
        [
            pytest.param(6, marks=pytest.mark.long),
            7,
            pytest.param(8, marks=pytest.mark.long),
            pytest.param(9, marks=pytest.mark.long),
        ],
    )
    def test_from_field_aligned(self, bout_xyt_example_files, nz):
        dataset_list = bout_xyt_example_files(
            None, lengths=(3, 3, 4, nz), nxpe=1, nype=1, nt=1
        )
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(
                datapath=dataset_list, inputfilepath=None, keep_xboundaries=False
            )

xbout/tests/test_boutdataset.py:389: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50187fd600>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
______ TestBoutDatasetMethods.test_to_field_aligned_staggered[CELL_XLOW] _______

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f501a609610>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
stag_location = 'CELL_XLOW'

    @pytest.mark.parametrize("stag_location", ["CELL_XLOW", "CELL_YLOW", "CELL_ZLOW"])
    def test_to_field_aligned_staggered(self, bout_xyt_example_files, stag_location):
        dataset_list = bout_xyt_example_files(
            None, lengths=(3, 3, 4, 8), nxpe=1, nype=1, nt=1
        )
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(
                datapath=dataset_list, inputfilepath=None, keep_xboundaries=False
            )

xbout/tests/test_boutdataset.py:494: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5018504c40>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
______ TestBoutDatasetMethods.test_to_field_aligned_staggered[CELL_YLOW] _______

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f501a608f50>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
stag_location = 'CELL_YLOW'

    @pytest.mark.parametrize("stag_location", ["CELL_XLOW", "CELL_YLOW", "CELL_ZLOW"])
    def test_to_field_aligned_staggered(self, bout_xyt_example_files, stag_location):
        dataset_list = bout_xyt_example_files(
            None, lengths=(3, 3, 4, 8), nxpe=1, nype=1, nt=1
        )
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(
                datapath=dataset_list, inputfilepath=None, keep_xboundaries=False
            )

xbout/tests/test_boutdataset.py:494: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5018e0dba0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
______ TestBoutDatasetMethods.test_to_field_aligned_staggered[CELL_ZLOW] _______

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f501f5e1020>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
stag_location = 'CELL_ZLOW'

    @pytest.mark.parametrize("stag_location", ["CELL_XLOW", "CELL_YLOW", "CELL_ZLOW"])
    def test_to_field_aligned_staggered(self, bout_xyt_example_files, stag_location):
        dataset_list = bout_xyt_example_files(
            None, lengths=(3, 3, 4, 8), nxpe=1, nype=1, nt=1
        )
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(
                datapath=dataset_list, inputfilepath=None, keep_xboundaries=False
            )

xbout/tests/test_boutdataset.py:494: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5019284160>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
_____ TestBoutDatasetMethods.test_from_field_aligned_staggered[CELL_XLOW] ______

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f501a7cc680>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
stag_location = 'CELL_XLOW'

    @pytest.mark.parametrize("stag_location", ["CELL_XLOW", "CELL_YLOW", "CELL_ZLOW"])
    def test_from_field_aligned_staggered(self, bout_xyt_example_files, stag_location):
        dataset_list = bout_xyt_example_files(
            None, lengths=(3, 3, 4, 8), nxpe=1, nype=1, nt=1
        )
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(
                datapath=dataset_list, inputfilepath=None, keep_xboundaries=False
            )

xbout/tests/test_boutdataset.py:553: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f501a93b640>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
_____ TestBoutDatasetMethods.test_from_field_aligned_staggered[CELL_YLOW] ______

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f501a5f1310>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
stag_location = 'CELL_YLOW'

    @pytest.mark.parametrize("stag_location", ["CELL_XLOW", "CELL_YLOW", "CELL_ZLOW"])
    def test_from_field_aligned_staggered(self, bout_xyt_example_files, stag_location):
        dataset_list = bout_xyt_example_files(
            None, lengths=(3, 3, 4, 8), nxpe=1, nype=1, nt=1
        )
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(
                datapath=dataset_list, inputfilepath=None, keep_xboundaries=False
            )

xbout/tests/test_boutdataset.py:553: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5019454760>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
_____ TestBoutDatasetMethods.test_from_field_aligned_staggered[CELL_ZLOW] ______

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f501a5f13b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
stag_location = 'CELL_ZLOW'

    @pytest.mark.parametrize("stag_location", ["CELL_XLOW", "CELL_YLOW", "CELL_ZLOW"])
    def test_from_field_aligned_staggered(self, bout_xyt_example_files, stag_location):
        dataset_list = bout_xyt_example_files(
            None, lengths=(3, 3, 4, 8), nxpe=1, nype=1, nt=1
        )
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(
                datapath=dataset_list, inputfilepath=None, keep_xboundaries=False
            )

xbout/tests/test_boutdataset.py:553: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5018cdd480>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
_ TestBoutDatasetMethods.test_interpolate_parallel[vars_to_interpolate0-False-False-guards0] _

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f501aacacd0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
vars_to_interpolate = ('n', 'T')

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "vars_to_interpolate", [("n", "T"), pytest.param(..., marks=pytest.mark.long)]
    )
    def test_interpolate_parallel(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        vars_to_interpolate,
    ):
        # This test checks that the regions created in the new high-resolution Dataset by
        # interpolate_parallel are correct.
        # This test does not test the accuracy of the parallel interpolation (there are
        # other tests for that).
    
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="lower-disconnected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_boutdataset.py:652: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5018befe20>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestBoutDatasetMethods.test_interpolate_parallel[vars_to_interpolate0-False-False-guards1] _

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f501aac85d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
vars_to_interpolate = ('n', 'T')

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "vars_to_interpolate", [("n", "T"), pytest.param(..., marks=pytest.mark.long)]
    )
    def test_interpolate_parallel(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        vars_to_interpolate,
    ):
        # This test checks that the regions created in the new high-resolution Dataset by
        # interpolate_parallel are correct.
        # This test does not test the accuracy of the parallel interpolation (there are
        # other tests for that).
    
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="lower-disconnected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_boutdataset.py:652: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5018cc0520>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestBoutDatasetMethods.test_interpolate_parallel[vars_to_interpolate0-False-False-guards2] _

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f501a5d12b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
vars_to_interpolate = ('n', 'T')

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "vars_to_interpolate", [("n", "T"), pytest.param(..., marks=pytest.mark.long)]
    )
    def test_interpolate_parallel(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        vars_to_interpolate,
    ):
        # This test checks that the regions created in the new high-resolution Dataset by
        # interpolate_parallel are correct.
        # This test does not test the accuracy of the parallel interpolation (there are
        # other tests for that).
    
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="lower-disconnected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_boutdataset.py:652: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5018ade140>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestBoutDatasetMethods.test_interpolate_parallel[vars_to_interpolate0-False-False-guards3] _

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f501a5d2190>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
vars_to_interpolate = ('n', 'T')

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "vars_to_interpolate", [("n", "T"), pytest.param(..., marks=pytest.mark.long)]
    )
    def test_interpolate_parallel(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        vars_to_interpolate,
    ):
        # This test checks that the regions created in the new high-resolution Dataset by
        # interpolate_parallel are correct.
        # This test does not test the accuracy of the parallel interpolation (there are
        # other tests for that).
    
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="lower-disconnected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_boutdataset.py:652: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f501916f400>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestBoutDatasetMethods.test_interpolate_parallel[vars_to_interpolate0-True-False-guards0] _

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f501a74d7f0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
vars_to_interpolate = ('n', 'T')

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "vars_to_interpolate", [("n", "T"), pytest.param(..., marks=pytest.mark.long)]
    )
    def test_interpolate_parallel(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        vars_to_interpolate,
    ):
        # This test checks that the regions created in the new high-resolution Dataset by
        # interpolate_parallel are correct.
        # This test does not test the accuracy of the parallel interpolation (there are
        # other tests for that).
    
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="lower-disconnected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_boutdataset.py:652: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f501901e740>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestBoutDatasetMethods.test_interpolate_parallel[vars_to_interpolate0-True-False-guards1] _

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f501a74d850>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
vars_to_interpolate = ('n', 'T')

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "vars_to_interpolate", [("n", "T"), pytest.param(..., marks=pytest.mark.long)]
    )
    def test_interpolate_parallel(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        vars_to_interpolate,
    ):
        # This test checks that the regions created in the new high-resolution Dataset by
        # interpolate_parallel are correct.
        # This test does not test the accuracy of the parallel interpolation (there are
        # other tests for that).
    
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="lower-disconnected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_boutdataset.py:652: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5018b983a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestBoutDatasetMethods.test_interpolate_parallel[vars_to_interpolate0-True-False-guards2] _

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f501a7aaf30>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
vars_to_interpolate = ('n', 'T')

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "vars_to_interpolate", [("n", "T"), pytest.param(..., marks=pytest.mark.long)]
    )
    def test_interpolate_parallel(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        vars_to_interpolate,
    ):
        # This test checks that the regions created in the new high-resolution Dataset by
        # interpolate_parallel are correct.
        # This test does not test the accuracy of the parallel interpolation (there are
        # other tests for that).
    
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="lower-disconnected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_boutdataset.py:652: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5018ee1a80>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestBoutDatasetMethods.test_interpolate_parallel[vars_to_interpolate0-True-False-guards3] _

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f501a7aafd0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
vars_to_interpolate = ('n', 'T')

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "vars_to_interpolate", [("n", "T"), pytest.param(..., marks=pytest.mark.long)]
    )
    def test_interpolate_parallel(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        vars_to_interpolate,
    ):
        # This test checks that the regions created in the new high-resolution Dataset by
        # interpolate_parallel are correct.
        # This test does not test the accuracy of the parallel interpolation (there are
        # other tests for that).
    
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="lower-disconnected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_boutdataset.py:652: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5018ef97e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestBoutDatasetMethods.test_interpolate_parallel[vars_to_interpolate0-False-True-guards0] _

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f501a7ab0c0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
vars_to_interpolate = ('n', 'T')

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "vars_to_interpolate", [("n", "T"), pytest.param(..., marks=pytest.mark.long)]
    )
    def test_interpolate_parallel(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        vars_to_interpolate,
    ):
        # This test checks that the regions created in the new high-resolution Dataset by
        # interpolate_parallel are correct.
        # This test does not test the accuracy of the parallel interpolation (there are
        # other tests for that).
    
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="lower-disconnected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_boutdataset.py:652: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5019d99300>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestBoutDatasetMethods.test_interpolate_parallel[vars_to_interpolate0-False-True-guards1] _

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f501a7ab1b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
vars_to_interpolate = ('n', 'T')

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "vars_to_interpolate", [("n", "T"), pytest.param(..., marks=pytest.mark.long)]
    )
    def test_interpolate_parallel(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        vars_to_interpolate,
    ):
        # This test checks that the regions created in the new high-resolution Dataset by
        # interpolate_parallel are correct.
        # This test does not test the accuracy of the parallel interpolation (there are
        # other tests for that).
    
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="lower-disconnected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_boutdataset.py:652: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5019ddae00>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestBoutDatasetMethods.test_interpolate_parallel[vars_to_interpolate0-False-True-guards2] _

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f501a7ab250>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
vars_to_interpolate = ('n', 'T')

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "vars_to_interpolate", [("n", "T"), pytest.param(..., marks=pytest.mark.long)]
    )
    def test_interpolate_parallel(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        vars_to_interpolate,
    ):
        # This test checks that the regions created in the new high-resolution Dataset by
        # interpolate_parallel are correct.
        # This test does not test the accuracy of the parallel interpolation (there are
        # other tests for that).
    
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="lower-disconnected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_boutdataset.py:652: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5019a543a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestBoutDatasetMethods.test_interpolate_parallel[vars_to_interpolate0-False-True-guards3] _

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f501a7ab2f0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
vars_to_interpolate = ('n', 'T')

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "vars_to_interpolate", [("n", "T"), pytest.param(..., marks=pytest.mark.long)]
    )
    def test_interpolate_parallel(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        vars_to_interpolate,
    ):
        # This test checks that the regions created in the new high-resolution Dataset by
        # interpolate_parallel are correct.
        # This test does not test the accuracy of the parallel interpolation (there are
        # other tests for that).
    
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="lower-disconnected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_boutdataset.py:652: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5019ad39a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestBoutDatasetMethods.test_interpolate_parallel[vars_to_interpolate0-True-True-guards0] _

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f501a7ab390>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
vars_to_interpolate = ('n', 'T')

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "vars_to_interpolate", [("n", "T"), pytest.param(..., marks=pytest.mark.long)]
    )
    def test_interpolate_parallel(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        vars_to_interpolate,
    ):
        # This test checks that the regions created in the new high-resolution Dataset by
        # interpolate_parallel are correct.
        # This test does not test the accuracy of the parallel interpolation (there are
        # other tests for that).
    
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="lower-disconnected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_boutdataset.py:652: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f501a0acca0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestBoutDatasetMethods.test_interpolate_parallel[vars_to_interpolate0-True-True-guards1] _

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f501a7ab430>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
vars_to_interpolate = ('n', 'T')

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "vars_to_interpolate", [("n", "T"), pytest.param(..., marks=pytest.mark.long)]
    )
    def test_interpolate_parallel(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        vars_to_interpolate,
    ):
        # This test checks that the regions created in the new high-resolution Dataset by
        # interpolate_parallel are correct.
        # This test does not test the accuracy of the parallel interpolation (there are
        # other tests for that).
    
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="lower-disconnected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_boutdataset.py:652: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f501a0a03a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestBoutDatasetMethods.test_interpolate_parallel[vars_to_interpolate0-True-True-guards2] _

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f501a7ab4d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
vars_to_interpolate = ('n', 'T')

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "vars_to_interpolate", [("n", "T"), pytest.param(..., marks=pytest.mark.long)]
    )
    def test_interpolate_parallel(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        vars_to_interpolate,
    ):
        # This test checks that the regions created in the new high-resolution Dataset by
        # interpolate_parallel are correct.
        # This test does not test the accuracy of the parallel interpolation (there are
        # other tests for that).
    
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="lower-disconnected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_boutdataset.py:652: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f501a139ea0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestBoutDatasetMethods.test_interpolate_parallel[vars_to_interpolate0-True-True-guards3] _

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f501a7ab570>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
vars_to_interpolate = ('n', 'T')

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "vars_to_interpolate", [("n", "T"), pytest.param(..., marks=pytest.mark.long)]
    )
    def test_interpolate_parallel(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        vars_to_interpolate,
    ):
        # This test checks that the regions created in the new high-resolution Dataset by
        # interpolate_parallel are correct.
        # This test does not test the accuracy of the parallel interpolation (there are
        # other tests for that).
    
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="lower-disconnected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_boutdataset.py:652: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5019151660>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestBoutDatasetMethods.test_interpolate_parallel[vars_to_interpolate1-False-False-guards0] _

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f501a7ab5c0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
vars_to_interpolate = Ellipsis

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "vars_to_interpolate", [("n", "T"), pytest.param(..., marks=pytest.mark.long)]
    )
    def test_interpolate_parallel(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        vars_to_interpolate,
    ):
        # This test checks that the regions created in the new high-resolution Dataset by
        # interpolate_parallel are correct.
        # This test does not test the accuracy of the parallel interpolation (there are
        # other tests for that).
    
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="lower-disconnected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_boutdataset.py:652: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5018be20e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestBoutDatasetMethods.test_interpolate_parallel[vars_to_interpolate1-False-False-guards1] _

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f501a7ab610>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
vars_to_interpolate = Ellipsis

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "vars_to_interpolate", [("n", "T"), pytest.param(..., marks=pytest.mark.long)]
    )
    def test_interpolate_parallel(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        vars_to_interpolate,
    ):
        # This test checks that the regions created in the new high-resolution Dataset by
        # interpolate_parallel are correct.
        # This test does not test the accuracy of the parallel interpolation (there are
        # other tests for that).
    
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="lower-disconnected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_boutdataset.py:652: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5019314520>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestBoutDatasetMethods.test_interpolate_parallel[vars_to_interpolate1-False-False-guards2] _

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f501a7ab660>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
vars_to_interpolate = Ellipsis

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "vars_to_interpolate", [("n", "T"), pytest.param(..., marks=pytest.mark.long)]
    )
    def test_interpolate_parallel(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        vars_to_interpolate,
    ):
        # This test checks that the regions created in the new high-resolution Dataset by
        # interpolate_parallel are correct.
        # This test does not test the accuracy of the parallel interpolation (there are
        # other tests for that).
    
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="lower-disconnected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_boutdataset.py:652: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50188d1960>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestBoutDatasetMethods.test_interpolate_parallel[vars_to_interpolate1-False-False-guards3] _

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f501a7ab6b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
vars_to_interpolate = Ellipsis

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "vars_to_interpolate", [("n", "T"), pytest.param(..., marks=pytest.mark.long)]
    )
    def test_interpolate_parallel(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        vars_to_interpolate,
    ):
        # This test checks that the regions created in the new high-resolution Dataset by
        # interpolate_parallel are correct.
        # This test does not test the accuracy of the parallel interpolation (there are
        # other tests for that).
    
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="lower-disconnected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_boutdataset.py:652: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5018fdcca0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestBoutDatasetMethods.test_interpolate_parallel[vars_to_interpolate1-True-False-guards0] _

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f501a7ab750>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
vars_to_interpolate = Ellipsis

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "vars_to_interpolate", [("n", "T"), pytest.param(..., marks=pytest.mark.long)]
    )
    def test_interpolate_parallel(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        vars_to_interpolate,
    ):
        # This test checks that the regions created in the new high-resolution Dataset by
        # interpolate_parallel are correct.
        # This test does not test the accuracy of the parallel interpolation (there are
        # other tests for that).
    
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="lower-disconnected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_boutdataset.py:652: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f501918c640>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestBoutDatasetMethods.test_interpolate_parallel[vars_to_interpolate1-True-False-guards1] _

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f501a7ab7f0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
vars_to_interpolate = Ellipsis

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "vars_to_interpolate", [("n", "T"), pytest.param(..., marks=pytest.mark.long)]
    )
    def test_interpolate_parallel(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        vars_to_interpolate,
    ):
        # This test checks that the regions created in the new high-resolution Dataset by
        # interpolate_parallel are correct.
        # This test does not test the accuracy of the parallel interpolation (there are
        # other tests for that).
    
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="lower-disconnected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_boutdataset.py:652: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5019d3e140>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestBoutDatasetMethods.test_interpolate_parallel[vars_to_interpolate1-True-False-guards2] _

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f501a7ab8e0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
vars_to_interpolate = Ellipsis

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "vars_to_interpolate", [("n", "T"), pytest.param(..., marks=pytest.mark.long)]
    )
    def test_interpolate_parallel(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        vars_to_interpolate,
    ):
        # This test checks that the regions created in the new high-resolution Dataset by
        # interpolate_parallel are correct.
        # This test does not test the accuracy of the parallel interpolation (there are
        # other tests for that).
    
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="lower-disconnected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_boutdataset.py:652: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50192b1120>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestBoutDatasetMethods.test_interpolate_parallel[vars_to_interpolate1-True-False-guards3] _

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f501a7ab980>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
vars_to_interpolate = Ellipsis

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "vars_to_interpolate", [("n", "T"), pytest.param(..., marks=pytest.mark.long)]
    )
    def test_interpolate_parallel(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        vars_to_interpolate,
    ):
        # This test checks that the regions created in the new high-resolution Dataset by
        # interpolate_parallel are correct.
        # This test does not test the accuracy of the parallel interpolation (there are
        # other tests for that).
    
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="lower-disconnected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_boutdataset.py:652: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5018e0f9a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestBoutDatasetMethods.test_interpolate_parallel[vars_to_interpolate1-False-True-guards0] _

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f501a7aba20>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
vars_to_interpolate = Ellipsis

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "vars_to_interpolate", [("n", "T"), pytest.param(..., marks=pytest.mark.long)]
    )
    def test_interpolate_parallel(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        vars_to_interpolate,
    ):
        # This test checks that the regions created in the new high-resolution Dataset by
        # interpolate_parallel are correct.
        # This test does not test the accuracy of the parallel interpolation (there are
        # other tests for that).
    
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="lower-disconnected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_boutdataset.py:652: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5018ad2b60>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestBoutDatasetMethods.test_interpolate_parallel[vars_to_interpolate1-False-True-guards1] _

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f501a7abac0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
vars_to_interpolate = Ellipsis

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "vars_to_interpolate", [("n", "T"), pytest.param(..., marks=pytest.mark.long)]
    )
    def test_interpolate_parallel(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        vars_to_interpolate,
    ):
        # This test checks that the regions created in the new high-resolution Dataset by
        # interpolate_parallel are correct.
        # This test does not test the accuracy of the parallel interpolation (there are
        # other tests for that).
    
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="lower-disconnected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_boutdataset.py:652: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5018f1c4c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestBoutDatasetMethods.test_interpolate_parallel[vars_to_interpolate1-False-True-guards2] _

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f501a7abb60>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
vars_to_interpolate = Ellipsis

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "vars_to_interpolate", [("n", "T"), pytest.param(..., marks=pytest.mark.long)]
    )
    def test_interpolate_parallel(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        vars_to_interpolate,
    ):
        # This test checks that the regions created in the new high-resolution Dataset by
        # interpolate_parallel are correct.
        # This test does not test the accuracy of the parallel interpolation (there are
        # other tests for that).
    
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="lower-disconnected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_boutdataset.py:652: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5019c5fb20>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestBoutDatasetMethods.test_interpolate_parallel[vars_to_interpolate1-False-True-guards3] _

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f501a7abc00>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
vars_to_interpolate = Ellipsis

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "vars_to_interpolate", [("n", "T"), pytest.param(..., marks=pytest.mark.long)]
    )
    def test_interpolate_parallel(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        vars_to_interpolate,
    ):
        # This test checks that the regions created in the new high-resolution Dataset by
        # interpolate_parallel are correct.
        # This test does not test the accuracy of the parallel interpolation (there are
        # other tests for that).
    
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="lower-disconnected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_boutdataset.py:652: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5019dbe0e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestBoutDatasetMethods.test_interpolate_parallel[vars_to_interpolate1-True-True-guards0] _

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f501a7abca0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
vars_to_interpolate = Ellipsis

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "vars_to_interpolate", [("n", "T"), pytest.param(..., marks=pytest.mark.long)]
    )
    def test_interpolate_parallel(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        vars_to_interpolate,
    ):
        # This test checks that the regions created in the new high-resolution Dataset by
        # interpolate_parallel are correct.
        # This test does not test the accuracy of the parallel interpolation (there are
        # other tests for that).
    
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="lower-disconnected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_boutdataset.py:652: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5019d76fe0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestBoutDatasetMethods.test_interpolate_parallel[vars_to_interpolate1-True-True-guards1] _

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f501a7abd40>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
vars_to_interpolate = Ellipsis

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "vars_to_interpolate", [("n", "T"), pytest.param(..., marks=pytest.mark.long)]
    )
    def test_interpolate_parallel(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        vars_to_interpolate,
    ):
        # This test checks that the regions created in the new high-resolution Dataset by
        # interpolate_parallel are correct.
        # This test does not test the accuracy of the parallel interpolation (there are
        # other tests for that).
    
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="lower-disconnected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_boutdataset.py:652: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5018fdec20>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestBoutDatasetMethods.test_interpolate_parallel[vars_to_interpolate1-True-True-guards2] _

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f501a7abde0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
vars_to_interpolate = Ellipsis

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "vars_to_interpolate", [("n", "T"), pytest.param(..., marks=pytest.mark.long)]
    )
    def test_interpolate_parallel(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        vars_to_interpolate,
    ):
        # This test checks that the regions created in the new high-resolution Dataset by
        # interpolate_parallel are correct.
        # This test does not test the accuracy of the parallel interpolation (there are
        # other tests for that).
    
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="lower-disconnected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_boutdataset.py:652: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50192ddcc0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestBoutDatasetMethods.test_interpolate_parallel[vars_to_interpolate1-True-True-guards3] _

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f501a7abe80>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
vars_to_interpolate = Ellipsis

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "vars_to_interpolate", [("n", "T"), pytest.param(..., marks=pytest.mark.long)]
    )
    def test_interpolate_parallel(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        vars_to_interpolate,
    ):
        # This test checks that the regions created in the new high-resolution Dataset by
        # interpolate_parallel are correct.
        # This test does not test the accuracy of the parallel interpolation (there are
        # other tests for that).
    
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="lower-disconnected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_boutdataset.py:652: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5018bf9720>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______ TestBoutDatasetMethods.test_interpolate_parallel_all_variables_arg ______

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f501a7abed0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>

    def test_interpolate_parallel_all_variables_arg(self, bout_xyt_example_files):
        # Check that passing 'variables=...' to interpolate_parallel() does actually
        # interpolate all the variables
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            grid="grid",
            topology="sol",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list, gridfilepath=grid_ds, geometry="toroidal"
        )

xbout/tests/test_boutdataset.py:1108: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f501901d180>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
___________ TestBoutDatasetMethods.test_interpolate_parallel_limiter ___________

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f501a7abf20>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>

    def test_interpolate_parallel_limiter(
        self,
        bout_xyt_example_files,
    ):
        # This test checks that the regions created in the new high-resolution Dataset by
        # interpolate_parallel are correct.
        # This test does not test the accuracy of the parallel interpolation (there are
        # other tests for that).
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards={"x": 2, "y": 2},
            grid="grid",
            topology="limiter",
        )
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=True,
            keep_yboundaries=False,
        )

xbout/tests/test_boutdataset.py:1163: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5019c682e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestBoutDatasetMethods.test_integrate_midpoints_slab _____________

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f501a7abf70>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>

    def test_integrate_midpoints_slab(self, bout_xyt_example_files):
        # Create data
        dataset_list = bout_xyt_example_files(
            None, lengths=(4, 100, 110, 120), nxpe=1, nype=1, nt=1, syn_data_type=1
        )
>       ds = open_boutdataset(dataset_list)

xbout/tests/test_boutdataset.py:1193: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5018f8e0e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
_____ TestBoutDatasetMethods.test_integrate_midpoints_salpha[CELL_CENTRE] ______

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f501a7abfc0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
location = 'CELL_CENTRE'

    @pytest.mark.parametrize(
        "location", ["CELL_CENTRE", "CELL_XLOW", "CELL_YLOW", "CELL_ZLOW"]
    )
    def test_integrate_midpoints_salpha(self, bout_xyt_example_files, location):
        # Create data
        nx = 100
        ny = 110
        nz = 120
        dataset_list = bout_xyt_example_files(
            None,
            lengths=(4, nx, ny, nz),
            nxpe=1,
            nype=1,
            nt=1,
            syn_data_type=1,
            guards={"x": 2, "y": 2},
        )
>       ds = open_boutdataset(dataset_list)

xbout/tests/test_boutdataset.py:1387: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5018ac34c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
______ TestBoutDatasetMethods.test_integrate_midpoints_salpha[CELL_XLOW] _______

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f501a940050>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
location = 'CELL_XLOW'

    @pytest.mark.parametrize(
        "location", ["CELL_CENTRE", "CELL_XLOW", "CELL_YLOW", "CELL_ZLOW"]
    )
    def test_integrate_midpoints_salpha(self, bout_xyt_example_files, location):
        # Create data
        nx = 100
        ny = 110
        nz = 120
        dataset_list = bout_xyt_example_files(
            None,
            lengths=(4, nx, ny, nz),
            nxpe=1,
            nype=1,
            nt=1,
            syn_data_type=1,
            guards={"x": 2, "y": 2},
        )
>       ds = open_boutdataset(dataset_list)

xbout/tests/test_boutdataset.py:1387: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5018b1f580>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
______ TestBoutDatasetMethods.test_integrate_midpoints_salpha[CELL_YLOW] _______

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f501a9400a0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
location = 'CELL_YLOW'

    @pytest.mark.parametrize(
        "location", ["CELL_CENTRE", "CELL_XLOW", "CELL_YLOW", "CELL_ZLOW"]
    )
    def test_integrate_midpoints_salpha(self, bout_xyt_example_files, location):
        # Create data
        nx = 100
        ny = 110
        nz = 120
        dataset_list = bout_xyt_example_files(
            None,
            lengths=(4, nx, ny, nz),
            nxpe=1,
            nype=1,
            nt=1,
            syn_data_type=1,
            guards={"x": 2, "y": 2},
        )
>       ds = open_boutdataset(dataset_list)

xbout/tests/test_boutdataset.py:1387: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5018a9db40>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
______ TestBoutDatasetMethods.test_integrate_midpoints_salpha[CELL_ZLOW] _______

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f501a9400f0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
location = 'CELL_ZLOW'

    @pytest.mark.parametrize(
        "location", ["CELL_CENTRE", "CELL_XLOW", "CELL_YLOW", "CELL_ZLOW"]
    )
    def test_integrate_midpoints_salpha(self, bout_xyt_example_files, location):
        # Create data
        nx = 100
        ny = 110
        nz = 120
        dataset_list = bout_xyt_example_files(
            None,
            lengths=(4, nx, ny, nz),
            nxpe=1,
            nype=1,
            nt=1,
            syn_data_type=1,
            guards={"x": 2, "y": 2},
        )
>       ds = open_boutdataset(dataset_list)

xbout/tests/test_boutdataset.py:1387: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5019d0a200>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
__________ TestBoutDatasetMethods.test_interpolate_from_unstructured ___________

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f501a940140>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>

    def test_interpolate_from_unstructured(self, bout_xyt_example_files):
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            grid="grid",
            topology="upper-disconnected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list, gridfilepath=grid_ds, geometry="toroidal"
        )

xbout/tests/test_boutdataset.py:1733: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f501a0ad600>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestBoutDatasetMethods.test_interpolate_from_unstructured_unstructured_output _

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f501a940190>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>

    def test_interpolate_from_unstructured_unstructured_output(
        self, bout_xyt_example_files
    ):
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            grid="grid",
            topology="lower-disconnected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list, gridfilepath=grid_ds, geometry="toroidal"
        )

xbout/tests/test_boutdataset.py:1784: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f501920e7a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestBoutDatasetMethods.test_interpolate_to_cartesian _____________

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f501a9401e0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>

    def test_interpolate_to_cartesian(self, bout_xyt_example_files):
        dataset_list = bout_xyt_example_files(
            None, lengths=(2, 16, 17, 18), nxpe=1, nype=1, nt=1
        )
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(
                datapath=dataset_list, inputfilepath=None, keep_xboundaries=False
            )

xbout/tests/test_boutdataset.py:1842: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50191f2f80>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
____________ TestBoutDatasetMethods.test_add_cartesian_coordinates _____________

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f501a940230>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>

    def test_add_cartesian_coordinates(self, bout_xyt_example_files):
        dataset_list = bout_xyt_example_files(None, nxpe=1, nype=1, nt=1)
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(
                datapath=dataset_list, inputfilepath=None, keep_xboundaries=False
            )

xbout/tests/test_boutdataset.py:1883: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5018e7d480>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
____________________________ TestSave.test_save_all ____________________________

self = <xbout.tests.test_boutdataset.TestSave object at 0x7f501a5b8550>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f501af90510>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>

    def test_save_all(self, tmp_path_factory, bout_xyt_example_files):
        # Create data
        path = bout_xyt_example_files(
            tmp_path_factory, nxpe=4, nype=5, nt=1, write_to_disk=True
        )
    
        # Load it as a boutdataset
        with pytest.warns(UserWarning):
>           original = open_boutdataset(datapath=path, inputfilepath=None)

xbout/tests/test_boutdataset.py:1953: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5019c55900>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
________________________ TestSave.test_reload_all[None] ________________________

self = <xbout.tests.test_boutdataset.TestSave object at 0x7f501a5b8690>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f501af90510>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
geometry = None

    @pytest.mark.parametrize("geometry", [None, "toroidal"])
    def test_reload_all(self, tmp_path_factory, bout_xyt_example_files, geometry):
        # Create data
        path = bout_xyt_example_files(
            tmp_path_factory, nxpe=4, nype=5, nt=1, grid="grid", write_to_disk=True
        )
    
        gridpath = path.parent.joinpath("grid.nc")
    
        # Load it as a boutdataset
        if geometry is None:
            with pytest.warns(UserWarning):
>               original = open_boutdataset(
                    datapath=path,
                    inputfilepath=None,
                    geometry=geometry,
                    gridfilepath=None if geometry is None else gridpath,
                )

xbout/tests/test_boutdataset.py:1978: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5018c17400>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
______________________ TestSave.test_reload_all[toroidal] ______________________

self = <xbout.tests.test_boutdataset.TestSave object at 0x7f501aba6b10>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f501af90510>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
geometry = 'toroidal'

    @pytest.mark.parametrize("geometry", [None, "toroidal"])
    def test_reload_all(self, tmp_path_factory, bout_xyt_example_files, geometry):
        # Create data
        path = bout_xyt_example_files(
            tmp_path_factory, nxpe=4, nype=5, nt=1, grid="grid", write_to_disk=True
        )
    
        gridpath = path.parent.joinpath("grid.nc")
    
        # Load it as a boutdataset
        if geometry is None:
            with pytest.warns(UserWarning):
                original = open_boutdataset(
                    datapath=path,
                    inputfilepath=None,
                    geometry=geometry,
                    gridfilepath=None if geometry is None else gridpath,
                )
        else:
>           original = open_boutdataset(
                datapath=path,
                inputfilepath=None,
                geometry=geometry,
                gridfilepath=None if geometry is None else gridpath,
            )

xbout/tests/test_boutdataset.py:1985: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5018d31900>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
___________________ TestSave.test_save_dtype[False-float64] ____________________

self = <xbout.tests.test_boutdataset.TestSave object at 0x7f501aba7100>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f501af90510>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
save_dtype = <class 'numpy.float64'>, separate_vars = False

    @pytest.mark.parametrize("save_dtype", [np.float64, np.float32])
    @pytest.mark.parametrize(
        "separate_vars", [False, pytest.param(True, marks=pytest.mark.long)]
    )
    def test_save_dtype(
        self, tmp_path_factory, bout_xyt_example_files, save_dtype, separate_vars
    ):
        # Create data
        path = bout_xyt_example_files(
            tmp_path_factory, nxpe=1, nype=1, nt=1, write_to_disk=True
        )
    
        # Load it as a boutdataset
        with pytest.warns(UserWarning):
>           original = open_boutdataset(datapath=path, inputfilepath=None)

xbout/tests/test_boutdataset.py:2035: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50192ed6c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
___________________ TestSave.test_save_dtype[False-float32] ____________________

self = <xbout.tests.test_boutdataset.TestSave object at 0x7f501a742210>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f501af90510>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
save_dtype = <class 'numpy.float32'>, separate_vars = False

    @pytest.mark.parametrize("save_dtype", [np.float64, np.float32])
    @pytest.mark.parametrize(
        "separate_vars", [False, pytest.param(True, marks=pytest.mark.long)]
    )
    def test_save_dtype(
        self, tmp_path_factory, bout_xyt_example_files, save_dtype, separate_vars
    ):
        # Create data
        path = bout_xyt_example_files(
            tmp_path_factory, nxpe=1, nype=1, nt=1, write_to_disk=True
        )
    
        # Load it as a boutdataset
        with pytest.warns(UserWarning):
>           original = open_boutdataset(datapath=path, inputfilepath=None)

xbout/tests/test_boutdataset.py:2035: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5019c6fe80>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
____________________ TestSave.test_save_dtype[True-float64] ____________________

self = <xbout.tests.test_boutdataset.TestSave object at 0x7f501a7fc5a0>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f501af90510>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
save_dtype = <class 'numpy.float64'>, separate_vars = True

    @pytest.mark.parametrize("save_dtype", [np.float64, np.float32])
    @pytest.mark.parametrize(
        "separate_vars", [False, pytest.param(True, marks=pytest.mark.long)]
    )
    def test_save_dtype(
        self, tmp_path_factory, bout_xyt_example_files, save_dtype, separate_vars
    ):
        # Create data
        path = bout_xyt_example_files(
            tmp_path_factory, nxpe=1, nype=1, nt=1, write_to_disk=True
        )
    
        # Load it as a boutdataset
        with pytest.warns(UserWarning):
>           original = open_boutdataset(datapath=path, inputfilepath=None)

xbout/tests/test_boutdataset.py:2035: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5018e7cfa0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
____________________ TestSave.test_save_dtype[True-float32] ____________________

self = <xbout.tests.test_boutdataset.TestSave object at 0x7f501a7fc6b0>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f501af90510>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
save_dtype = <class 'numpy.float32'>, separate_vars = True

    @pytest.mark.parametrize("save_dtype", [np.float64, np.float32])
    @pytest.mark.parametrize(
        "separate_vars", [False, pytest.param(True, marks=pytest.mark.long)]
    )
    def test_save_dtype(
        self, tmp_path_factory, bout_xyt_example_files, save_dtype, separate_vars
    ):
        # Create data
        path = bout_xyt_example_files(
            tmp_path_factory, nxpe=1, nype=1, nt=1, write_to_disk=True
        )
    
        # Load it as a boutdataset
        with pytest.warns(UserWarning):
>           original = open_boutdataset(datapath=path, inputfilepath=None)

xbout/tests/test_boutdataset.py:2035: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50191f2320>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
____________________ TestSave.test_save_separate_variables _____________________

self = <xbout.tests.test_boutdataset.TestSave object at 0x7f501a54de50>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f501af90510>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>

    def test_save_separate_variables(self, tmp_path_factory, bout_xyt_example_files):
        path = bout_xyt_example_files(
            tmp_path_factory, nxpe=4, nype=1, nt=1, write_to_disk=True
        )
    
        # Load it as a boutdataset
        with pytest.warns(UserWarning):
>           original = open_boutdataset(datapath=path, inputfilepath=None)

xbout/tests/test_boutdataset.py:2063: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5019cb3d60>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
________________ TestSave.test_reload_separate_variables[None] _________________

self = <xbout.tests.test_boutdataset.TestSave object at 0x7f501a54e050>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f501af90510>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
geometry = None

    @pytest.mark.parametrize("geometry", [None, "toroidal"])
    def test_reload_separate_variables(
        self, tmp_path_factory, bout_xyt_example_files, geometry
    ):
        if geometry is not None:
            grid = "grid"
        else:
            grid = None
    
        path = bout_xyt_example_files(
            tmp_path_factory, nxpe=4, nype=1, nt=1, grid=grid, write_to_disk=True
        )
    
        if grid is not None:
            gridpath = path.parent.joinpath("grid.nc")
        else:
            gridpath = None
    
        # Load it as a boutdataset
        if geometry is None:
            with pytest.warns(UserWarning):
>               original = open_boutdataset(
                    datapath=path,
                    inputfilepath=None,
                    geometry=geometry,
                    gridfilepath=gridpath,
                )

xbout/tests/test_boutdataset.py:2104: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f501a6e1660>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
______________ TestSave.test_reload_separate_variables[toroidal] _______________

self = <xbout.tests.test_boutdataset.TestSave object at 0x7f501a991400>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f501af90510>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
geometry = 'toroidal'

    @pytest.mark.parametrize("geometry", [None, "toroidal"])
    def test_reload_separate_variables(
        self, tmp_path_factory, bout_xyt_example_files, geometry
    ):
        if geometry is not None:
            grid = "grid"
        else:
            grid = None
    
        path = bout_xyt_example_files(
            tmp_path_factory, nxpe=4, nype=1, nt=1, grid=grid, write_to_disk=True
        )
    
        if grid is not None:
            gridpath = path.parent.joinpath("grid.nc")
        else:
            gridpath = None
    
        # Load it as a boutdataset
        if geometry is None:
            with pytest.warns(UserWarning):
                original = open_boutdataset(
                    datapath=path,
                    inputfilepath=None,
                    geometry=geometry,
                    gridfilepath=gridpath,
                )
        else:
>           original = open_boutdataset(
                datapath=path,
                inputfilepath=None,
                geometry=geometry,
                gridfilepath=gridpath,
            )

xbout/tests/test_boutdataset.py:2111: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f501a11c940>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
___________ TestSave.test_reload_separate_variables_time_split[None] ___________

self = <xbout.tests.test_boutdataset.TestSave object at 0x7f501a991130>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f501af90510>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
geometry = None

    @pytest.mark.parametrize("geometry", [None, "toroidal"])
    def test_reload_separate_variables_time_split(
        self, tmp_path_factory, bout_xyt_example_files, geometry
    ):
        if geometry is not None:
            grid = "grid"
        else:
            grid = None
    
        path = bout_xyt_example_files(
            tmp_path_factory, nxpe=4, nype=1, nt=1, grid=grid, write_to_disk=True
        )
    
        if grid is not None:
            gridpath = path.parent.joinpath("grid.nc")
        else:
            gridpath = None
    
        # Load it as a boutdataset
        if geometry is None:
            with pytest.warns(UserWarning):
>               original = open_boutdataset(
                    datapath=path,
                    inputfilepath=None,
                    geometry=geometry,
                    gridfilepath=gridpath,
                )

xbout/tests/test_boutdataset.py:2151: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5019ac4940>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
_________ TestSave.test_reload_separate_variables_time_split[toroidal] _________

self = <xbout.tests.test_boutdataset.TestSave object at 0x7f501a5ca5f0>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f501af90510>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
geometry = 'toroidal'

    @pytest.mark.parametrize("geometry", [None, "toroidal"])
    def test_reload_separate_variables_time_split(
        self, tmp_path_factory, bout_xyt_example_files, geometry
    ):
        if geometry is not None:
            grid = "grid"
        else:
            grid = None
    
        path = bout_xyt_example_files(
            tmp_path_factory, nxpe=4, nype=1, nt=1, grid=grid, write_to_disk=True
        )
    
        if grid is not None:
            gridpath = path.parent.joinpath("grid.nc")
        else:
            gridpath = None
    
        # Load it as a boutdataset
        if geometry is None:
            with pytest.warns(UserWarning):
                original = open_boutdataset(
                    datapath=path,
                    inputfilepath=None,
                    geometry=geometry,
                    gridfilepath=gridpath,
                )
        else:
>           original = open_boutdataset(
                datapath=path,
                inputfilepath=None,
                geometry=geometry,
                gridfilepath=gridpath,
            )

xbout/tests/test_boutdataset.py:2158: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f501a6c02e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
____________________ TestSaveRestart.test_to_restart[None] _____________________

self = <xbout.tests.test_boutdataset.TestSaveRestart object at 0x7f501a5b8910>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f501af90510>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
tind = None

    @pytest.mark.parametrize("tind", [None, pytest.param(1, marks=pytest.mark.long)])
    def test_to_restart(self, tmp_path_factory, bout_xyt_example_files, tind):
        nxpe = 3
        nype = 2
    
        nt = 6
    
        path = bout_xyt_example_files(
            tmp_path_factory,
            nxpe=nxpe,
            nype=nype,
            nt=1,
            lengths=[nt, 4, 4, 7],
            guards={"x": 2, "y": 2},
            write_to_disk=True,
        )
    
        # Load it as a boutdataset
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(datapath=path)

xbout/tests/test_boutdataset.py:2205: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5018918ca0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
______________________ TestSaveRestart.test_to_restart[1] ______________________

self = <xbout.tests.test_boutdataset.TestSaveRestart object at 0x7f501a5b8a50>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f501af90510>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
tind = 1

    @pytest.mark.parametrize("tind", [None, pytest.param(1, marks=pytest.mark.long)])
    def test_to_restart(self, tmp_path_factory, bout_xyt_example_files, tind):
        nxpe = 3
        nype = 2
    
        nt = 6
    
        path = bout_xyt_example_files(
            tmp_path_factory,
            nxpe=nxpe,
            nype=nype,
            nt=1,
            lengths=[nt, 4, 4, 7],
            guards={"x": 2, "y": 2},
            write_to_disk=True,
        )
    
        # Load it as a boutdataset
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(datapath=path)

xbout/tests/test_boutdataset.py:2205: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5018d31180>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
__________________ TestSaveRestart.test_to_restart_change_npe __________________

self = <xbout.tests.test_boutdataset.TestSaveRestart object at 0x7f501aba7230>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f501af90510>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>

    def test_to_restart_change_npe(self, tmp_path_factory, bout_xyt_example_files):
        nxpe_in = 3
        nype_in = 2
    
        nxpe = 2
        nype = 4
    
        nt = 6
    
        path = bout_xyt_example_files(
            tmp_path_factory,
            nxpe=nxpe_in,
            nype=nype_in,
            nt=1,
            lengths=[nt, 4, 4, 7],
            guards={"x": 2, "y": 2},
            write_to_disk=True,
        )
    
        # Load it as a boutdataset
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(datapath=path)

xbout/tests/test_boutdataset.py:2283: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50193768c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
____________ TestSaveRestart.test_to_restart_change_npe_doublenull _____________

self = <xbout.tests.test_boutdataset.TestSaveRestart object at 0x7f501aba7360>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f501af90510>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>

    @pytest.mark.long
    def test_to_restart_change_npe_doublenull(
        self, tmp_path_factory, bout_xyt_example_files
    ):
        nxpe_in = 3
        nype_in = 6
    
        nxpe = 1
        nype = 12
    
        nt = 6
    
        path = bout_xyt_example_files(
            tmp_path_factory,
            nxpe=nxpe_in,
            nype=nype_in,
            nt=1,
            guards={"x": 2, "y": 2},
            lengths=(nt, 5, 4, 7),
            topology="upper-disconnected-double-null",
            write_to_disk=True,
        )
    
        # Load it as a boutdataset
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(datapath=path)

xbout/tests/test_boutdataset.py:2356: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f501a0ae920>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
___ TestSaveRestart.test_to_restart_change_npe_doublenull_expect_fail[npes0] ___

self = <xbout.tests.test_boutdataset.TestSaveRestart object at 0x7f501a741fd0>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f501af90510>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
npes = (2, 6)

    @pytest.mark.long
    @pytest.mark.parametrize("npes", [(2, 6), (3, 4)])
    def test_to_restart_change_npe_doublenull_expect_fail(
        self, tmp_path_factory, bout_xyt_example_files, npes
    ):
        nxpe_in = 3
        nype_in = 6
    
        nxpe, nype = npes
    
        path = bout_xyt_example_files(
            tmp_path_factory,
            nxpe=nxpe_in,
            nype=nype_in,
            nt=1,
            guards={"x": 2, "y": 2},
            lengths=(6, 5, 4, 7),
            topology="lower-disconnected-double-null",
            write_to_disk=True,
        )
    
        # Load it as a boutdataset
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(datapath=path)

xbout/tests/test_boutdataset.py:2427: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f501a2685e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
___ TestSaveRestart.test_to_restart_change_npe_doublenull_expect_fail[npes1] ___

self = <xbout.tests.test_boutdataset.TestSaveRestart object at 0x7f501a7fc8d0>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f501af90510>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
npes = (3, 4)

    @pytest.mark.long
    @pytest.mark.parametrize("npes", [(2, 6), (3, 4)])
    def test_to_restart_change_npe_doublenull_expect_fail(
        self, tmp_path_factory, bout_xyt_example_files, npes
    ):
        nxpe_in = 3
        nype_in = 6
    
        nxpe, nype = npes
    
        path = bout_xyt_example_files(
            tmp_path_factory,
            nxpe=nxpe_in,
            nype=nype_in,
            nt=1,
            guards={"x": 2, "y": 2},
            lengths=(6, 5, 4, 7),
            topology="lower-disconnected-double-null",
            write_to_disk=True,
        )
    
        # Load it as a boutdataset
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(datapath=path)

xbout/tests/test_boutdataset.py:2427: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5019d26620>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
__________________________ TestOpen.test_single_file ___________________________

self = <xbout.tests.test_load.TestOpen object at 0x7f501a6274d0>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f501af90510>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>

    def test_single_file(self, tmp_path_factory, bout_xyt_example_files):
        path = bout_xyt_example_files(
            tmp_path_factory, nxpe=1, nype=1, nt=1, write_to_disk=True
        )
        with pytest.warns(UserWarning):
>           actual = open_boutdataset(datapath=path, keep_xboundaries=False)

xbout/tests/test_load.py:280: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5019288760>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
_________________________ TestOpen.test_squashed_file __________________________

self = <xbout.tests.test_load.TestOpen object at 0x7f501a627250>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f501af90510>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>

    def test_squashed_file(self, tmp_path_factory, bout_xyt_example_files):
        path = bout_xyt_example_files(
            tmp_path_factory, nxpe=4, nype=3, nt=1, squashed=True, write_to_disk=True
        )
        with pytest.warns(UserWarning):
>           actual = open_boutdataset(datapath=path, keep_xboundaries=False)

xbout/tests/test_load.py:306: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f501948e0e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
________________ TestOpen.test_squashed_doublenull[False-False] ________________

self = <xbout.tests.test_load.TestOpen object at 0x7f501858a8b0>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f501af90510>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
keep_xboundaries = False, keep_yboundaries = False

    @pytest.mark.parametrize(
        "keep_xboundaries", [False, pytest.param(True, marks=pytest.mark.long)]
    )
    @pytest.mark.parametrize(
        "keep_yboundaries", [False, pytest.param(True, marks=pytest.mark.long)]
    )
    def test_squashed_doublenull(
        self,
        tmp_path_factory,
        bout_xyt_example_files,
        keep_xboundaries,
        keep_yboundaries,
    ):
        path = bout_xyt_example_files(
            tmp_path_factory,
            nxpe=4,
            nype=6,
            nt=1,
            lengths=(6, 2, 4, 7),
            guards={"x": 2, "y": 2},
            squashed=True,
            topology="lower-disconnected-double-null",
        )
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(
                datapath=path,
                keep_xboundaries=keep_xboundaries,
                keep_yboundaries=keep_yboundaries,
            )

xbout/tests/test_load.py:351: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50191bac80>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
________________ TestOpen.test_squashed_doublenull[False-True] _________________

self = <xbout.tests.test_load.TestOpen object at 0x7f501858a780>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f501af90510>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
keep_xboundaries = True, keep_yboundaries = False

    @pytest.mark.parametrize(
        "keep_xboundaries", [False, pytest.param(True, marks=pytest.mark.long)]
    )
    @pytest.mark.parametrize(
        "keep_yboundaries", [False, pytest.param(True, marks=pytest.mark.long)]
    )
    def test_squashed_doublenull(
        self,
        tmp_path_factory,
        bout_xyt_example_files,
        keep_xboundaries,
        keep_yboundaries,
    ):
        path = bout_xyt_example_files(
            tmp_path_factory,
            nxpe=4,
            nype=6,
            nt=1,
            lengths=(6, 2, 4, 7),
            guards={"x": 2, "y": 2},
            squashed=True,
            topology="lower-disconnected-double-null",
        )
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(
                datapath=path,
                keep_xboundaries=keep_xboundaries,
                keep_yboundaries=keep_yboundaries,
            )

xbout/tests/test_load.py:351: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5018f874c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
________________ TestOpen.test_squashed_doublenull[True-False] _________________

self = <xbout.tests.test_load.TestOpen object at 0x7f501a56bd10>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f501af90510>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
keep_xboundaries = False, keep_yboundaries = True

    @pytest.mark.parametrize(
        "keep_xboundaries", [False, pytest.param(True, marks=pytest.mark.long)]
    )
    @pytest.mark.parametrize(
        "keep_yboundaries", [False, pytest.param(True, marks=pytest.mark.long)]
    )
    def test_squashed_doublenull(
        self,
        tmp_path_factory,
        bout_xyt_example_files,
        keep_xboundaries,
        keep_yboundaries,
    ):
        path = bout_xyt_example_files(
            tmp_path_factory,
            nxpe=4,
            nype=6,
            nt=1,
            lengths=(6, 2, 4, 7),
            guards={"x": 2, "y": 2},
            squashed=True,
            topology="lower-disconnected-double-null",
        )
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(
                datapath=path,
                keep_xboundaries=keep_xboundaries,
                keep_yboundaries=keep_yboundaries,
            )

xbout/tests/test_load.py:351: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5019c87040>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
_________________ TestOpen.test_squashed_doublenull[True-True] _________________

self = <xbout.tests.test_load.TestOpen object at 0x7f501a5dbbd0>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f501af90510>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
keep_xboundaries = True, keep_yboundaries = True

    @pytest.mark.parametrize(
        "keep_xboundaries", [False, pytest.param(True, marks=pytest.mark.long)]
    )
    @pytest.mark.parametrize(
        "keep_yboundaries", [False, pytest.param(True, marks=pytest.mark.long)]
    )
    def test_squashed_doublenull(
        self,
        tmp_path_factory,
        bout_xyt_example_files,
        keep_xboundaries,
        keep_yboundaries,
    ):
        path = bout_xyt_example_files(
            tmp_path_factory,
            nxpe=4,
            nype=6,
            nt=1,
            lengths=(6, 2, 4, 7),
            guards={"x": 2, "y": 2},
            squashed=True,
            topology="lower-disconnected-double-null",
        )
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(
                datapath=path,
                keep_xboundaries=keep_xboundaries,
                keep_yboundaries=keep_yboundaries,
            )

xbout/tests/test_load.py:351: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5019c6e260>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
_____________ TestOpen.test_squashed_doublenull_file[False-False] ______________

self = <xbout.tests.test_load.TestOpen object at 0x7f501a5db9b0>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f501af90510>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
keep_xboundaries = False, keep_yboundaries = False

    @pytest.mark.parametrize(
        "keep_xboundaries", [False, pytest.param(True, marks=pytest.mark.long)]
    )
    @pytest.mark.parametrize(
        "keep_yboundaries", [False, pytest.param(True, marks=pytest.mark.long)]
    )
    def test_squashed_doublenull_file(
        self,
        tmp_path_factory,
        bout_xyt_example_files,
        keep_xboundaries,
        keep_yboundaries,
    ):
        path = bout_xyt_example_files(
            tmp_path_factory,
            nxpe=4,
            nype=6,
            nt=1,
            lengths=(6, 4, 4, 7),
            guards={"x": 2, "y": 2},
            squashed=True,
            write_to_disk=True,
            topology="upper-disconnected-double-null",
        )
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(
                datapath=path,
                keep_xboundaries=keep_xboundaries,
                keep_yboundaries=keep_yboundaries,
            )

xbout/tests/test_load.py:390: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50189fb940>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
______________ TestOpen.test_squashed_doublenull_file[False-True] ______________

self = <xbout.tests.test_load.TestOpen object at 0x7f5018641450>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f501af90510>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
keep_xboundaries = True, keep_yboundaries = False

    @pytest.mark.parametrize(
        "keep_xboundaries", [False, pytest.param(True, marks=pytest.mark.long)]
    )
    @pytest.mark.parametrize(
        "keep_yboundaries", [False, pytest.param(True, marks=pytest.mark.long)]
    )
    def test_squashed_doublenull_file(
        self,
        tmp_path_factory,
        bout_xyt_example_files,
        keep_xboundaries,
        keep_yboundaries,
    ):
        path = bout_xyt_example_files(
            tmp_path_factory,
            nxpe=4,
            nype=6,
            nt=1,
            lengths=(6, 4, 4, 7),
            guards={"x": 2, "y": 2},
            squashed=True,
            write_to_disk=True,
            topology="upper-disconnected-double-null",
        )
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(
                datapath=path,
                keep_xboundaries=keep_xboundaries,
                keep_yboundaries=keep_yboundaries,
            )

xbout/tests/test_load.py:390: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5018ae4820>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
______________ TestOpen.test_squashed_doublenull_file[True-False] ______________

self = <xbout.tests.test_load.TestOpen object at 0x7f5018641650>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f501af90510>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
keep_xboundaries = False, keep_yboundaries = True

    @pytest.mark.parametrize(
        "keep_xboundaries", [False, pytest.param(True, marks=pytest.mark.long)]
    )
    @pytest.mark.parametrize(
        "keep_yboundaries", [False, pytest.param(True, marks=pytest.mark.long)]
    )
    def test_squashed_doublenull_file(
        self,
        tmp_path_factory,
        bout_xyt_example_files,
        keep_xboundaries,
        keep_yboundaries,
    ):
        path = bout_xyt_example_files(
            tmp_path_factory,
            nxpe=4,
            nype=6,
            nt=1,
            lengths=(6, 4, 4, 7),
            guards={"x": 2, "y": 2},
            squashed=True,
            write_to_disk=True,
            topology="upper-disconnected-double-null",
        )
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(
                datapath=path,
                keep_xboundaries=keep_xboundaries,
                keep_yboundaries=keep_yboundaries,
            )

xbout/tests/test_load.py:390: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5019cf0c40>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
______________ TestOpen.test_squashed_doublenull_file[True-True] _______________

self = <xbout.tests.test_load.TestOpen object at 0x7f50186206e0>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f501af90510>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
keep_xboundaries = True, keep_yboundaries = True

    @pytest.mark.parametrize(
        "keep_xboundaries", [False, pytest.param(True, marks=pytest.mark.long)]
    )
    @pytest.mark.parametrize(
        "keep_yboundaries", [False, pytest.param(True, marks=pytest.mark.long)]
    )
    def test_squashed_doublenull_file(
        self,
        tmp_path_factory,
        bout_xyt_example_files,
        keep_xboundaries,
        keep_yboundaries,
    ):
        path = bout_xyt_example_files(
            tmp_path_factory,
            nxpe=4,
            nype=6,
            nt=1,
            lengths=(6, 4, 4, 7),
            guards={"x": 2, "y": 2},
            squashed=True,
            write_to_disk=True,
            topology="upper-disconnected-double-null",
        )
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(
                datapath=path,
                keep_xboundaries=keep_xboundaries,
                keep_yboundaries=keep_yboundaries,
            )

xbout/tests/test_load.py:390: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5019d3ec20>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
________________________ TestOpen.test_combine_along_x _________________________

self = <xbout.tests.test_load.TestOpen object at 0x7f50186216d0>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f501af90510>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>

    def test_combine_along_x(self, tmp_path_factory, bout_xyt_example_files):
        path = bout_xyt_example_files(
            tmp_path_factory,
            nxpe=4,
            nype=1,
            nt=1,
            syn_data_type="stepped",
            write_to_disk=True,
        )
        with pytest.warns(UserWarning):
>           actual = open_boutdataset(datapath=path, keep_xboundaries=False)

xbout/tests/test_load.py:414: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5018e72500>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
________________________ TestOpen.test_combine_along_y _________________________

self = <xbout.tests.test_load.TestOpen object at 0x7f50185b42f0>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f501af90510>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>

    def test_combine_along_y(self, tmp_path_factory, bout_xyt_example_files):
        path = bout_xyt_example_files(
            tmp_path_factory,
            nxpe=1,
            nype=3,
            nt=1,
            syn_data_type="stepped",
            write_to_disk=True,
        )
        with pytest.warns(UserWarning):
>           actual = open_boutdataset(datapath=path, keep_xboundaries=False)

xbout/tests/test_load.py:450: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5018fed9c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
_____________ TestOpen.test_combine_along_xy[lengths0-False-False] _____________

self = <xbout.tests.test_load.TestOpen object at 0x7f501aa48870>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f501af90510>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
bout_v5 = False, metric_3D = False, lengths = (6, 2, 4, 7)

    @pytest.mark.parametrize(
        "bout_v5,metric_3D", [(False, False), (True, False), (True, True)]
    )
    @pytest.mark.parametrize("lengths", [(6, 2, 4, 7), (6, 2, 4, 1)])
    def test_combine_along_xy(
        self, tmp_path_factory, bout_xyt_example_files, bout_v5, metric_3D, lengths
    ):
        path = bout_xyt_example_files(
            tmp_path_factory,
            nxpe=4,
            nype=3,
            nt=1,
            lengths=lengths,
            syn_data_type="stepped",
            write_to_disk=True,
            bout_v5=bout_v5,
            metric_3D=metric_3D,
        )
        with pytest.warns(UserWarning):
>           actual = open_boutdataset(datapath=path, keep_xboundaries=False)

xbout/tests/test_load.py:497: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f501928af80>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
_____________ TestOpen.test_combine_along_xy[lengths0-True-False] ______________

self = <xbout.tests.test_load.TestOpen object at 0x7f501aab68d0>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f501af90510>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
bout_v5 = True, metric_3D = False, lengths = (6, 2, 4, 7)

    @pytest.mark.parametrize(
        "bout_v5,metric_3D", [(False, False), (True, False), (True, True)]
    )
    @pytest.mark.parametrize("lengths", [(6, 2, 4, 7), (6, 2, 4, 1)])
    def test_combine_along_xy(
        self, tmp_path_factory, bout_xyt_example_files, bout_v5, metric_3D, lengths
    ):
        path = bout_xyt_example_files(
            tmp_path_factory,
            nxpe=4,
            nype=3,
            nt=1,
            lengths=lengths,
            syn_data_type="stepped",
            write_to_disk=True,
            bout_v5=bout_v5,
            metric_3D=metric_3D,
        )
        with pytest.warns(UserWarning):
>           actual = open_boutdataset(datapath=path, keep_xboundaries=False)

xbout/tests/test_load.py:497: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50188d2e00>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
______________ TestOpen.test_combine_along_xy[lengths0-True-True] ______________

self = <xbout.tests.test_load.TestOpen object at 0x7f501aab6810>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f501af90510>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
bout_v5 = True, metric_3D = True, lengths = (6, 2, 4, 7)

    @pytest.mark.parametrize(
        "bout_v5,metric_3D", [(False, False), (True, False), (True, True)]
    )
    @pytest.mark.parametrize("lengths", [(6, 2, 4, 7), (6, 2, 4, 1)])
    def test_combine_along_xy(
        self, tmp_path_factory, bout_xyt_example_files, bout_v5, metric_3D, lengths
    ):
        path = bout_xyt_example_files(
            tmp_path_factory,
            nxpe=4,
            nype=3,
            nt=1,
            lengths=lengths,
            syn_data_type="stepped",
            write_to_disk=True,
            bout_v5=bout_v5,
            metric_3D=metric_3D,
        )
        with pytest.warns(UserWarning):
            actual = open_boutdataset(datapath=path, keep_xboundaries=False)
    
        def bout_ds(syn_data_type):
            return create_bout_ds(
                syn_data_type, bout_v5=bout_v5, metric_3D=metric_3D, lengths=lengths
            )
    
        line1 = concat(
            [bout_ds(0), bout_ds(1), bout_ds(2), bout_ds(3)],
            dim="x",
            data_vars="minimal",
        )
        line2 = concat(
            [bout_ds(4), bout_ds(5), bout_ds(6), bout_ds(7)],
            dim="x",
            data_vars="minimal",
        )
        line3 = concat(
            [bout_ds(8), bout_ds(9), bout_ds(10), bout_ds(11)],
            dim="x",
            data_vars="minimal",
        )
        expected = concat([line1, line2, line3], dim="y", data_vars="minimal")
        expected = expected.set_coords(["t_array", "dx", "dy", "dz"]).rename(
            t_array="t"
        )
        vars_to_drop = METADATA_VARS + _BOUT_PER_PROC_VARIABLES
        xrt.assert_equal(
>           actual.drop_vars(["x", "y", "z"]).load(),
            expected.drop_vars(vars_to_drop, errors="ignore"),
        )

xbout/tests/test_load.py:525: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
/usr/lib/python3.14/site-packages/xarray/core/dataset.py:541: in load
    evaluated_data: tuple[np.ndarray[Any, Any], ...] = chunkmanager.compute(
/usr/lib/python3.14/site-packages/xarray/namedarray/daskmanager.py:85: in compute
    return compute(*data, **kwargs)  # type: ignore[no-untyped-call, no-any-return]
/usr/lib/python3.14/site-packages/dask/base.py:681: in compute
    results = schedule(expr, keys, **kwargs)
/usr/lib/python3.14/site-packages/xarray/core/indexing.py:575: in __array__
    return np.asarray(self.get_duck_array(), dtype=dtype, copy=copy)
/usr/lib/python3.14/site-packages/xarray/core/indexing.py:580: in get_duck_array
    return self.array.get_duck_array()
/usr/lib/python3.14/site-packages/xarray/core/indexing.py:791: in get_duck_array
    return self.array.get_duck_array()
/usr/lib/python3.14/site-packages/xarray/core/indexing.py:654: in get_duck_array
    array = self.array[self.key]
/usr/lib/python3.14/site-packages/xarray/backends/netCDF4_.py:103: in __getitem__
    return indexing.explicit_indexing_adapter(
/usr/lib/python3.14/site-packages/xarray/core/indexing.py:1015: in explicit_indexing_adapter
    result = raw_indexing_method(raw_key.tuple)
/usr/lib/python3.14/site-packages/xarray/backends/netCDF4_.py:116: in _getitem
    array = getitem(original_array, key)
src/netCDF4/_netCDF4.pyx:5079: in netCDF4._netCDF4.Variable.__getitem__
    ???
src/netCDF4/_netCDF4.pyx:6051: in netCDF4._netCDF4.Variable._get
    ???
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

>   ???
E   RuntimeError: NetCDF: HDF error

src/netCDF4/_netCDF4.pyx:2164: RuntimeError
----------------------------- Captured stdout call -----------------------------
Read in:
<xbout.BoutDataset>
Contains:
<xarray.Dataset> Size: 182kB
Dimensions:  (t: 6, x: 8, y: 12, z: 7)
Coordinates:
    dx       (x, y, z) float64 5kB dask.array<chunksize=(2, 4, 7), meta=np.ndarray>
    dy       (x, y, z) float64 5kB dask.array<chunksize=(2, 4, 7), meta=np.ndarray>
    dz       (x, y, z) float64 5kB dask.array<chunksize=(2, 4, 7), meta=np.ndarray>
  * t        (t) float64 48B 0.0 10.0 20.0 30.0 40.0 50.0
  * x        (x) int64 64B 0 1 2 3 4 5 6 7
  * y        (y) float64 96B 1.0 3.0 5.0 7.0 9.0 ... 15.0 17.0 19.0 21.0 23.0
  * z        (z) float64 56B 0.4488 1.346 2.244 3.142 4.039 4.937 5.834
Data variables: (12/21)
    n        (t, x, y, z) float64 32kB dask.array<chunksize=(6, 2, 4, 7), meta=np.ndarray>
    T        (t, x, y, z) float64 32kB dask.array<chunksize=(6, 2, 4, 7), meta=np.ndarray>
    S        (t, x, y) float64 5kB dask.array<chunksize=(6, 2, 4), meta=np.ndarray>
    g11      (x, y, z) float64 5kB dask.array<chunksize=(2, 4, 7), meta=np.ndarray>
    g22      (x, y, z) float64 5kB dask.array<chunksize=(2, 4, 7), meta=np.ndarray>
    g33      (x, y, z) float64 5kB dask.array<chunksize=(2, 4, 7), meta=np.ndarray>
    ...       ...
    G1       (x, y, z) float64 5kB dask.array<chunksize=(2, 4, 7), meta=np.ndarray>
    G2       (x, y, z) float64 5kB dask.array<chunksize=(2, 4, 7), meta=np.ndarray>
    G3       (x, y, z) float64 5kB dask.array<chunksize=(2, 4, 7), meta=np.ndarray>
    J        (x, y, z) float64 5kB dask.array<chunksize=(2, 4, 7), meta=np.ndarray>
    Bxy      (x, y, z) float64 5kB dask.array<chunksize=(2, 4, 7), meta=np.ndarray>
    zShift   (x, y, z) float64 5kB dask.array<chunksize=(2, 4, 7), meta=np.ndarray>
Attributes:
    metadata:  {'BOUT_VERSION': 5.0, 'use_metric_3d': 1, 'NXPE': 4, 'NYPE': 3...
    options:   None
    geometry:  
Metadata:
{   'BOUT_VERSION': 5.0,
    'MXG': 0,
    'MXSUB': 2,
    'MYG': 0,
    'MYSUB': 4,
    'MZ': 7,
    'MZG': 0,
    'MZSUB': 7,
    'NXPE': 4,
    'NYPE': 3,
    'NZPE': 1,
    'ZMAX': 1.0,
    'ZMIN': 0.0,
    'bout_tdim': 't',
    'bout_xdim': 'x',
    'bout_ydim': 'y',
    'bout_zdim': 'z',
    'fine_interpolation_factor': 8,
    'hist_hi': 5,
    'is_restart': 0,
    'iteration': 5,
    'ixseps1': 8,
    'ixseps2': 8,
    'jyseps1_1': -1,
    'jyseps1_2': 5,
    'jyseps2_1': 5,
    'jyseps2_2': 11,
    'keep_xboundaries': 0,
    'keep_yboundaries': 0,
    'nx': 8,
    'ny': 12,
    'ny_inner': 6,
    'nz': 7,
    'tt': 50.0,
    'use_metric_3d': 1,
    'zperiod': 1}

____________________________ TestOpen.test_toroidal ____________________________

self = <xbout.tests.test_load.TestOpen object at 0x7f501aa50cd0>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f501af90510>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>

    def test_toroidal(self, tmp_path_factory, bout_xyt_example_files):
        # actually write these to disk to test the loading fully
        path = bout_xyt_example_files(
            tmp_path_factory,
            nxpe=3,
            nype=3,
            nt=1,
            syn_data_type="stepped",
            grid="grid",
            write_to_disk=True,
        )
>       actual = open_boutdataset(
            datapath=path,
            geometry="toroidal",
            gridfilepath=path.parent.joinpath("grid.nc"),
        )

xbout/tests/test_load.py:555: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5018512320>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________________________ TestOpen.test_salpha _____________________________

self = <xbout.tests.test_load.TestOpen object at 0x7f501873e3c0>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f501af90510>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>

    def test_salpha(self, tmp_path_factory, bout_xyt_example_files):
        path = bout_xyt_example_files(
            tmp_path_factory,
            nxpe=3,
            nype=3,
            nt=1,
            syn_data_type="stepped",
            grid="grid",
            write_to_disk=True,
        )
>       actual = open_boutdataset(
            datapath=path,
            geometry="s-alpha",
            gridfilepath=path.parent.joinpath("grid.nc"),
        )

xbout/tests/test_load.py:589: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f501a232440>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying s-alpha geometry conventions
___________________________ TestOpen.test_drop_vars ____________________________

self = <xbout.tests.test_load.TestOpen object at 0x7f50187589d0>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f501af90510>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>

    def test_drop_vars(self, tmp_path_factory, bout_xyt_example_files):
        datapath = bout_xyt_example_files(
            tmp_path_factory,
            nxpe=4,
            nype=1,
            nt=1,
            syn_data_type="stepped",
            write_to_disk=True,
        )
        with pytest.warns(UserWarning):
>           ds = open_boutdataset(
                datapath=datapath, keep_xboundaries=False, drop_variables=["T"]
            )

xbout/tests/test_load.py:618: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5019f6fac0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-0-False-False-guards0] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f501a626ad0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 0, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f501a373160>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-0-False-False-guards1] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f501a626710>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 0, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5015e34760>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-0-False-False-guards2] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f501858a060>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 0, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5015e1cca0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-0-False-False-guards3] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f5018589ba0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 0, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5016069a80>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-0-True-False-guards0] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f50194c8830>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 0, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f501600cca0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-0-True-False-guards1] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f501a5db350>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 0, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50197a47c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-0-True-False-guards2] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f501a5db020>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 0, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50197d6140>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-0-True-False-guards3] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f501854c350>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 0, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f501a111960>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-0-False-True-guards0] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f501854c550>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 0, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f501a1abb20>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-0-False-True-guards1] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f50185a15e0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 0, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50197b4ca0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-0-False-True-guards2] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f50185a06e0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 0, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f501615c580>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-0-False-True-guards3] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f5018555b70>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 0, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50160ea260>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-0-True-True-guards0] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f5018555c50>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 0, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50161e06a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-0-True-True-guards1] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f50185f6c30>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 0, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50163c4a00>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-0-True-True-guards2] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f501aab5790>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 0, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5018513160>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-0-True-True-guards3] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f501aab56d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 0, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50160cbbe0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-1-False-False-guards0] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f501856b330>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 1, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50199fcca0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-1-False-False-guards1] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f501856b490>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 1, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5015f24640>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-1-False-False-guards2] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f5018479f90>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 1, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5015e51fc0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-1-False-False-guards3] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f501847a030>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 1, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5016058e80>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-1-True-False-guards0] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f501873c710>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 1, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f501974e0e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-1-True-False-guards1] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f5018840950>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 1, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50197628c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-1-True-False-guards2] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f5018840450>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 1, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5016391a20>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-1-True-False-guards3] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f5018553770>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 1, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50163ca140>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-1-False-True-guards0] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f5018553850>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 1, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50192bd780>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-1-False-True-guards1] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f501aaf3f50>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 1, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5019a66860>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-1-False-True-guards2] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f501aaf3d10>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 1, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50199c80a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-1-False-True-guards3] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f5018466a30>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 1, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f501639dde0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-1-True-True-guards0] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f5018466ad0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 1, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f501637eec0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-1-True-True-guards1] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f5018466bc0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 1, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5016175a80>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-1-True-True-guards2] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f5018466c10>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 1, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5016190c40>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-1-True-True-guards3] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f5018467020>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 1, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5016348760>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-2-False-False-guards0] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f5018467160>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 2, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5015e9c5e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-2-False-False-guards1] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f5018466d50>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 2, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f501606afe0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-2-False-False-guards2] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f50184671b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 2, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50196f8d60>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-2-False-False-guards3] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f5018467200>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 2, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5015efaec0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-2-True-False-guards0] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f5018467250>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 2, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5015e16aa0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-2-True-False-guards1] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f50184672a0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 2, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50160782e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-2-True-False-guards2] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f50184672f0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 2, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f501637a080>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-2-True-False-guards3] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f5018467340>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 2, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5016174460>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-2-False-True-guards0] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f5018467390>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 2, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5019cca4a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-2-False-True-guards1] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f50184673e0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 2, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50161ac640>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-2-False-True-guards2] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f5018467430>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 2, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f501a6f0460>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-2-False-True-guards3] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f5018467480>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 2, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f501995e140>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-2-True-True-guards0] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f50184674d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 2, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5016158e20>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-2-True-True-guards1] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f5018467520>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 2, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f501611e920>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-2-True-True-guards2] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f5018467570>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 2, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50163359c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[lower-disconnected-double-null-2-True-True-guards3] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f50184675c0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 2, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5015f48820>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-0-False-False-guards0] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f5018467610>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 0, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50197d6260>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-0-False-False-guards1] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f5018467660>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 0, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5019f91a20>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-0-False-False-guards2] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f50184676b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 0, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50163381c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-0-False-False-guards3] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f5018467700>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 0, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50154420e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-0-True-False-guards0] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f5018467750>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 0, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50153fc3a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-0-True-False-guards1] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f50184677a0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 0, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50154d9900>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-0-True-False-guards2] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f50184677f0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 0, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f501a6f0ca0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-0-True-False-guards3] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f5018467840>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 0, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5019814f40>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-0-False-True-guards0] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f5018467890>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 0, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5019585de0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-0-False-True-guards1] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f50184678e0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 0, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5019f6c100>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-0-False-True-guards2] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f5018467930>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 0, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5015f28ca0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-0-False-True-guards3] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f5018467980>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 0, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50161a4580>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-0-True-True-guards0] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f50184679d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 0, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5016165cc0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-0-True-True-guards1] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f5018467a20>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 0, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50152bcdc0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-0-True-True-guards2] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f5018467a70>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 0, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5015efb100>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-0-True-True-guards3] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f5018467ac0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 0, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5016307940>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-1-False-False-guards0] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f5018467b10>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 1, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50198236a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-1-False-False-guards1] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f5018467b60>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 1, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5016185e40>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-1-False-False-guards2] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f5018467bb0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 1, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f501a018ee0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-1-False-False-guards3] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f5018467c00>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 1, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50163881c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-1-True-False-guards0] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f5018467c50>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 1, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50151f2c20>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-1-True-False-guards1] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f5018467ca0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 1, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5015245900>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-1-True-False-guards2] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f5018467cf0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 1, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5015481780>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-1-True-False-guards3] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f5018467d40>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 1, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50161a5ea0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-1-False-True-guards0] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f5018467d90>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 1, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50197872e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-1-False-True-guards1] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f5018467de0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 1, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50195865c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-1-False-True-guards2] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f5018467e30>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 1, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5016125180>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-1-False-True-guards3] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f5018467e80>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 1, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50195cfee0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-1-True-True-guards0] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f5018467ed0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 1, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5019730dc0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-1-True-True-guards1] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f5018467f20>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 1, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50152b6920>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-1-True-True-guards2] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f5018467f70>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 1, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f501614e4a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-1-True-True-guards3] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f5018467fc0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 1, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5016187700>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-2-False-False-guards0] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f501a860050>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 2, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5019760700>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-2-False-False-guards1] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f501a8600a0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 2, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f501605e260>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-2-False-False-guards2] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f501a8600f0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 2, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50153e8e20>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-2-False-False-guards3] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f501a860140>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 2, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5015f8e860>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-2-True-False-guards0] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f501a860190>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 2, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5016324ca0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-2-True-False-guards1] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f501a8601e0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 2, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5015428580>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-2-True-False-guards2] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f501a860230>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 2, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5015231f00>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-2-True-False-guards3] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f501a860280>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 2, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5016192680>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-2-False-True-guards0] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f501a8602d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 2, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50163d68c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-2-False-True-guards1] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f501a860320>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 2, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50163cb460>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-2-False-True-guards2] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f501a860370>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 2, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5019a66020>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-2-False-True-guards3] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f501a8603c0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 2, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5016131ae0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-2-True-True-guards0] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f501a860410>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 2, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5019e63520>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-2-True-True-guards1] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f501a860460>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 2, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f501618f280>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-2-True-True-guards2] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f501a8604b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 2, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5015272b60>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestPlot.test_region_disconnecteddoublenull[upper-disconnected-double-null-2-True-True-guards3] _

self = <xbout.tests.test_plot.TestPlot object at 0x7f501a860500>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 2, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:52: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50152483a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestPlot.test_region_limiter[0-False-False-guards0] ______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f501a860550>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 0

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f501542a920>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestPlot.test_region_limiter[0-False-False-guards1] ______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f501a8605a0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 0

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50163252a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestPlot.test_region_limiter[0-False-False-guards2] ______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f501a8605f0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 0

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5015441000>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestPlot.test_region_limiter[0-False-False-guards3] ______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f501a860640>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 0

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50196d3b20>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestPlot.test_region_limiter[0-True-False-guards0] ______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f501a860690>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 0

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5015e0e2c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestPlot.test_region_limiter[0-True-False-guards1] ______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f501a8606e0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 0

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5015e49cc0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestPlot.test_region_limiter[0-True-False-guards2] ______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f501a860730>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 0

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5019f909a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestPlot.test_region_limiter[0-True-False-guards3] ______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f501a860780>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 0

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50154224a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestPlot.test_region_limiter[0-False-True-guards0] ______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f501a8607d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 0

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50153fd1e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestPlot.test_region_limiter[0-False-True-guards1] ______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f501a860820>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 0

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50152c7880>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestPlot.test_region_limiter[0-False-True-guards2] ______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f501a860870>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 0

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f501630ee60>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestPlot.test_region_limiter[0-False-True-guards3] ______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f501a8608c0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 0

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5016396b60>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestPlot.test_region_limiter[0-True-True-guards0] _______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f501a860910>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 0

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f501a189120>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestPlot.test_region_limiter[0-True-True-guards1] _______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f501a860960>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 0

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f501a1ab460>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestPlot.test_region_limiter[0-True-True-guards2] _______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f501a8609b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 0

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5015259a80>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestPlot.test_region_limiter[0-True-True-guards3] _______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f501a860a00>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 0

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50152738e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestPlot.test_region_limiter[1-False-False-guards0] ______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f501a860a50>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 1

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50154a1840>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestPlot.test_region_limiter[1-False-False-guards1] ______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f501a860aa0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 1

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50197cc280>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestPlot.test_region_limiter[1-False-False-guards2] ______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f501a860af0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 1

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50197e5a20>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestPlot.test_region_limiter[1-False-False-guards3] ______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f501a860b40>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 1

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50161a7d00>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestPlot.test_region_limiter[1-True-False-guards0] ______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f501a860b90>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 1

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f501529a500>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestPlot.test_region_limiter[1-True-False-guards1] ______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f501a860be0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 1

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f501a233a60>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestPlot.test_region_limiter[1-True-False-guards2] ______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f501a860c30>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 1

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50152889a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestPlot.test_region_limiter[1-True-False-guards3] ______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f501a860c80>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 1

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f501975ff40>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestPlot.test_region_limiter[1-False-True-guards0] ______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f501a860cd0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 1

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50161b14e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestPlot.test_region_limiter[1-False-True-guards1] ______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f501a860d20>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 1

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50154496c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestPlot.test_region_limiter[1-False-True-guards2] ______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f501a860d70>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 1

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5015f8d240>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestPlot.test_region_limiter[1-False-True-guards3] ______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f501a860dc0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 1

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50160b3e80>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestPlot.test_region_limiter[1-True-True-guards0] _______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f501a860e10>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 1

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50163139a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestPlot.test_region_limiter[1-True-True-guards1] _______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f501a860e60>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 1

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5015ef0ee0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestPlot.test_region_limiter[1-True-True-guards2] _______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f501a860eb0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 1

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5019b1c100>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestPlot.test_region_limiter[1-True-True-guards3] _______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f501a860f00>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 1

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5016325b40>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestPlot.test_region_limiter[2-False-False-guards0] ______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f501a860f50>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 2

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5015e36fe0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestPlot.test_region_limiter[2-False-False-guards1] ______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f501a860fa0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 2

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f501524a740>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestPlot.test_region_limiter[2-False-False-guards2] ______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f501a860ff0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 2

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5019e62080>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestPlot.test_region_limiter[2-False-False-guards3] ______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f501a861040>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 2

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50197e7f40>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestPlot.test_region_limiter[2-True-False-guards0] ______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f501a861090>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 2

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50197ce020>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestPlot.test_region_limiter[2-True-False-guards1] ______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f501a8610e0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 2

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50154a00a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestPlot.test_region_limiter[2-True-False-guards2] ______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f501a861130>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 2

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5015272800>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestPlot.test_region_limiter[2-True-False-guards3] ______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f501a861180>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 2

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5015259360>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestPlot.test_region_limiter[2-False-True-guards0] ______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f501a8611d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 2

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f501a1aa260>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestPlot.test_region_limiter[2-False-True-guards1] ______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f501a861220>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 2

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5015431300>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestPlot.test_region_limiter[2-False-True-guards2] ______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f501a861270>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 2

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5015ef1600>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestPlot.test_region_limiter[2-False-True-guards3] ______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f501a8612c0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 2

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5015ef8340>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestPlot.test_region_limiter[2-True-True-guards0] _______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f501a861310>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 2

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50160b2860>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestPlot.test_region_limiter[2-True-True-guards1] _______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f501a861360>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 2

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5015448700>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestPlot.test_region_limiter[2-True-True-guards2] _______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f501a8613b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 2

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5015f19c00>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestPlot.test_region_limiter[2-True-True-guards3] _______________

self = <xbout.tests.test_plot.TestPlot object at 0x7f501a861400>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 2

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards",
        [
            0,
            pytest.param(1, marks=pytest.mark.long),
            pytest.param(2, marks=pytest.mark.long),
        ],
    )
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 5, 4, 3),
            nxpe=1,
            nype=1,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_plot.py:172: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50161673a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_______________ TestRegion.test_region_core[False-False-guards0] _______________

self = <xbout.tests.test_region.TestRegion object at 0x7f501a626490>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_core(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note need to use more than (3*MXG,3*MYG) points per output file
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="core",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:45: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f501525e500>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_______________ TestRegion.test_region_core[False-False-guards1] _______________

self = <xbout.tests.test_region.TestRegion object at 0x7f501a6260d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_core(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note need to use more than (3*MXG,3*MYG) points per output file
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="core",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:45: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50161e29e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_______________ TestRegion.test_region_core[False-False-guards2] _______________

self = <xbout.tests.test_region.TestRegion object at 0x7f50185895b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_core(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note need to use more than (3*MXG,3*MYG) points per output file
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="core",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:45: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5019791420>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_______________ TestRegion.test_region_core[False-False-guards3] _______________

self = <xbout.tests.test_region.TestRegion object at 0x7f5018589940>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_core(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note need to use more than (3*MXG,3*MYG) points per output file
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="core",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:45: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5015f984c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_______________ TestRegion.test_region_core[True-False-guards0] ________________

self = <xbout.tests.test_region.TestRegion object at 0x7f50194c83b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_core(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note need to use more than (3*MXG,3*MYG) points per output file
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="core",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:45: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5019731cc0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_______________ TestRegion.test_region_core[True-False-guards1] ________________

self = <xbout.tests.test_region.TestRegion object at 0x7f501a5daf10>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_core(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note need to use more than (3*MXG,3*MYG) points per output file
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="core",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:45: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50152508e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_______________ TestRegion.test_region_core[True-False-guards2] ________________

self = <xbout.tests.test_region.TestRegion object at 0x7f501a5dabe0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_core(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note need to use more than (3*MXG,3*MYG) points per output file
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="core",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:45: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5015410340>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_______________ TestRegion.test_region_core[True-False-guards3] ________________

self = <xbout.tests.test_region.TestRegion object at 0x7f501a85d750>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_core(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note need to use more than (3*MXG,3*MYG) points per output file
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="core",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:45: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50197f7ac0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_______________ TestRegion.test_region_core[False-True-guards0] ________________

self = <xbout.tests.test_region.TestRegion object at 0x7f501a85d950>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_core(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note need to use more than (3*MXG,3*MYG) points per output file
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="core",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:45: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f501637a5c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_______________ TestRegion.test_region_core[False-True-guards1] ________________

self = <xbout.tests.test_region.TestRegion object at 0x7f50185a33e0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_core(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note need to use more than (3*MXG,3*MYG) points per output file
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="core",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:45: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5015f00a60>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_______________ TestRegion.test_region_core[False-True-guards2] ________________

self = <xbout.tests.test_region.TestRegion object at 0x7f50185a3b60>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_core(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note need to use more than (3*MXG,3*MYG) points per output file
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="core",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:45: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50160795a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_______________ TestRegion.test_region_core[False-True-guards3] ________________

self = <xbout.tests.test_region.TestRegion object at 0x7f501a865ef0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_core(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note need to use more than (3*MXG,3*MYG) points per output file
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="core",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:45: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50161c1de0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
________________ TestRegion.test_region_core[True-True-guards0] ________________

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8660b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_core(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note need to use more than (3*MXG,3*MYG) points per output file
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="core",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:45: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50161542e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
________________ TestRegion.test_region_core[True-True-guards1] ________________

self = <xbout.tests.test_region.TestRegion object at 0x7f50191dec30>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_core(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note need to use more than (3*MXG,3*MYG) points per output file
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="core",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:45: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50198d6c80>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
________________ TestRegion.test_region_core[True-True-guards2] ________________

self = <xbout.tests.test_region.TestRegion object at 0x7f501aab5610>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_core(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note need to use more than (3*MXG,3*MYG) points per output file
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="core",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:45: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5015ef8f40>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
________________ TestRegion.test_region_core[True-True-guards3] ________________

self = <xbout.tests.test_region.TestRegion object at 0x7f501aab5490>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_core(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note need to use more than (3*MXG,3*MYG) points per output file
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="core",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:45: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5015274e80>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_______________ TestRegion.test_region_sol[False-False-guards0] ________________

self = <xbout.tests.test_region.TestRegion object at 0x7f501a846ba0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_sol(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note need to use more than (3*MXG,3*MYG) points per output file
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="sol",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:91: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50152c1f60>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_______________ TestRegion.test_region_sol[False-False-guards1] ________________

self = <xbout.tests.test_region.TestRegion object at 0x7f501a846c50>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_sol(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note need to use more than (3*MXG,3*MYG) points per output file
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="sol",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:91: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50151ea740>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_______________ TestRegion.test_region_sol[False-False-guards2] ________________

self = <xbout.tests.test_region.TestRegion object at 0x7f501847a710>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_sol(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note need to use more than (3*MXG,3*MYG) points per output file
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="sol",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:91: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5014fe3b80>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_______________ TestRegion.test_region_sol[False-False-guards3] ________________

self = <xbout.tests.test_region.TestRegion object at 0x7f501847a7b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_sol(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note need to use more than (3*MXG,3*MYG) points per output file
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="sol",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:91: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5014fde4a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
________________ TestRegion.test_region_sol[True-False-guards0] ________________

self = <xbout.tests.test_region.TestRegion object at 0x7f501aa5e330>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_sol(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note need to use more than (3*MXG,3*MYG) points per output file
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="sol",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:91: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5014eeb880>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
________________ TestRegion.test_region_sol[True-False-guards1] ________________

self = <xbout.tests.test_region.TestRegion object at 0x7f5018a64050>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_sol(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note need to use more than (3*MXG,3*MYG) points per output file
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="sol",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:91: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50160c8a60>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
________________ TestRegion.test_region_sol[True-False-guards2] ________________

self = <xbout.tests.test_region.TestRegion object at 0x7f5018a64cd0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_sol(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note need to use more than (3*MXG,3*MYG) points per output file
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="sol",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:91: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5015265420>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
________________ TestRegion.test_region_sol[True-False-guards3] ________________

self = <xbout.tests.test_region.TestRegion object at 0x7f501a881c50>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_sol(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note need to use more than (3*MXG,3*MYG) points per output file
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="sol",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:91: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f501977a380>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
________________ TestRegion.test_region_sol[False-True-guards0] ________________

self = <xbout.tests.test_region.TestRegion object at 0x7f501a881d30>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_sol(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note need to use more than (3*MXG,3*MYG) points per output file
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="sol",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:91: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50198216c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
________________ TestRegion.test_region_sol[False-True-guards1] ________________

self = <xbout.tests.test_region.TestRegion object at 0x7f501a892270>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_sol(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note need to use more than (3*MXG,3*MYG) points per output file
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="sol",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:91: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50161dfa00>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
________________ TestRegion.test_region_sol[False-True-guards2] ________________

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8922d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_sol(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note need to use more than (3*MXG,3*MYG) points per output file
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="sol",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:91: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5015e37100>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
________________ TestRegion.test_region_sol[False-True-guards3] ________________

self = <xbout.tests.test_region.TestRegion object at 0x7f501a861d60>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_sol(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note need to use more than (3*MXG,3*MYG) points per output file
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="sol",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:91: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5015f99c00>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
________________ TestRegion.test_region_sol[True-True-guards0] _________________

self = <xbout.tests.test_region.TestRegion object at 0x7f501a861e00>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_sol(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note need to use more than (3*MXG,3*MYG) points per output file
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="sol",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:91: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50197e6a40>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
________________ TestRegion.test_region_sol[True-True-guards1] _________________

self = <xbout.tests.test_region.TestRegion object at 0x7f501a861ea0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_sol(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note need to use more than (3*MXG,3*MYG) points per output file
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="sol",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:91: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50197903a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
________________ TestRegion.test_region_sol[True-True-guards2] _________________

self = <xbout.tests.test_region.TestRegion object at 0x7f501a861f40>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_sol(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note need to use more than (3*MXG,3*MYG) points per output file
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="sol",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:91: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5014d33c40>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
________________ TestRegion.test_region_sol[True-True-guards3] _________________

self = <xbout.tests.test_region.TestRegion object at 0x7f501a861fe0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_sol(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note need to use more than (3*MXG,3*MYG) points per output file
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="sol",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:91: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50151e92a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
____________ TestRegion.test_region_limiter[0-False-False-guards0] _____________

self = <xbout.tests.test_region.TestRegion object at 0x7f501a862030>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
region_guards = 0

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize("region_guards", [0, 1])
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        region_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:134: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5015fe1fc0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
____________ TestRegion.test_region_limiter[0-False-False-guards1] _____________

self = <xbout.tests.test_region.TestRegion object at 0x7f501a862080>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
region_guards = 0

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize("region_guards", [0, 1])
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        region_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:134: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5015455a80>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
____________ TestRegion.test_region_limiter[0-False-False-guards2] _____________

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8620d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
region_guards = 0

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize("region_guards", [0, 1])
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        region_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:134: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5014d9ff40>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
____________ TestRegion.test_region_limiter[0-False-False-guards3] _____________

self = <xbout.tests.test_region.TestRegion object at 0x7f501a862120>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
region_guards = 0

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize("region_guards", [0, 1])
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        region_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:134: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5014d5f0a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestRegion.test_region_limiter[0-True-False-guards0] _____________

self = <xbout.tests.test_region.TestRegion object at 0x7f501a862170>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
region_guards = 0

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize("region_guards", [0, 1])
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        region_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:134: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5014d89600>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestRegion.test_region_limiter[0-True-False-guards1] _____________

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8621c0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
region_guards = 0

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize("region_guards", [0, 1])
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        region_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:134: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5015565660>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestRegion.test_region_limiter[0-True-False-guards2] _____________

self = <xbout.tests.test_region.TestRegion object at 0x7f501a862210>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
region_guards = 0

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize("region_guards", [0, 1])
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        region_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:134: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f501558d540>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestRegion.test_region_limiter[0-True-False-guards3] _____________

self = <xbout.tests.test_region.TestRegion object at 0x7f501a862260>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
region_guards = 0

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize("region_guards", [0, 1])
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        region_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:134: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50161a7d00>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestRegion.test_region_limiter[0-False-True-guards0] _____________

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8622b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
region_guards = 0

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize("region_guards", [0, 1])
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        region_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:134: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f501552dde0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestRegion.test_region_limiter[0-False-True-guards1] _____________

self = <xbout.tests.test_region.TestRegion object at 0x7f501a862300>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
region_guards = 0

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize("region_guards", [0, 1])
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        region_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:134: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5015429fc0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestRegion.test_region_limiter[0-False-True-guards2] _____________

self = <xbout.tests.test_region.TestRegion object at 0x7f501a862350>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
region_guards = 0

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize("region_guards", [0, 1])
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        region_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:134: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f501637bbe0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestRegion.test_region_limiter[0-False-True-guards3] _____________

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8623a0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
region_guards = 0

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize("region_guards", [0, 1])
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        region_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:134: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5016016e00>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestRegion.test_region_limiter[0-True-True-guards0] ______________

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8623f0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
region_guards = 0

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize("region_guards", [0, 1])
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        region_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:134: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5015e16320>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestRegion.test_region_limiter[0-True-True-guards1] ______________

self = <xbout.tests.test_region.TestRegion object at 0x7f501a862440>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
region_guards = 0

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize("region_guards", [0, 1])
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        region_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:134: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50160d86a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestRegion.test_region_limiter[0-True-True-guards2] ______________

self = <xbout.tests.test_region.TestRegion object at 0x7f501a862490>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
region_guards = 0

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize("region_guards", [0, 1])
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        region_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:134: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5019846200>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestRegion.test_region_limiter[0-True-True-guards3] ______________

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8624e0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
region_guards = 0

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize("region_guards", [0, 1])
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        region_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:134: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50155625c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
____________ TestRegion.test_region_limiter[1-False-False-guards0] _____________

self = <xbout.tests.test_region.TestRegion object at 0x7f501a862530>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
region_guards = 1

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize("region_guards", [0, 1])
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        region_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:134: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50155d8940>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
____________ TestRegion.test_region_limiter[1-False-False-guards1] _____________

self = <xbout.tests.test_region.TestRegion object at 0x7f501a862580>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
region_guards = 1

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize("region_guards", [0, 1])
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        region_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:134: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5014d5c3a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
____________ TestRegion.test_region_limiter[1-False-False-guards2] _____________

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8625d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
region_guards = 1

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize("region_guards", [0, 1])
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        region_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:134: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50161c07c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
____________ TestRegion.test_region_limiter[1-False-False-guards3] _____________

self = <xbout.tests.test_region.TestRegion object at 0x7f501a862620>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
region_guards = 1

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize("region_guards", [0, 1])
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        region_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:134: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5019f6dc60>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestRegion.test_region_limiter[1-True-False-guards0] _____________

self = <xbout.tests.test_region.TestRegion object at 0x7f501a862670>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
region_guards = 1

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize("region_guards", [0, 1])
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        region_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:134: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5014f958a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestRegion.test_region_limiter[1-True-False-guards1] _____________

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8626c0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
region_guards = 1

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize("region_guards", [0, 1])
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        region_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:134: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5014d957e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestRegion.test_region_limiter[1-True-False-guards2] _____________

self = <xbout.tests.test_region.TestRegion object at 0x7f501a862710>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
region_guards = 1

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize("region_guards", [0, 1])
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        region_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:134: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5014d1ce80>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestRegion.test_region_limiter[1-True-False-guards3] _____________

self = <xbout.tests.test_region.TestRegion object at 0x7f501a862760>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
region_guards = 1

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize("region_guards", [0, 1])
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        region_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:134: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5014d22980>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestRegion.test_region_limiter[1-False-True-guards0] _____________

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8627b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
region_guards = 1

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize("region_guards", [0, 1])
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        region_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:134: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50155872e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestRegion.test_region_limiter[1-False-True-guards1] _____________

self = <xbout.tests.test_region.TestRegion object at 0x7f501a862800>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
region_guards = 1

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize("region_guards", [0, 1])
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        region_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:134: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5015532200>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestRegion.test_region_limiter[1-False-True-guards2] _____________

self = <xbout.tests.test_region.TestRegion object at 0x7f501a862850>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
region_guards = 1

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize("region_guards", [0, 1])
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        region_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:134: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5015f1fca0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestRegion.test_region_limiter[1-False-True-guards3] _____________

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8628a0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
region_guards = 1

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize("region_guards", [0, 1])
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        region_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:134: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5015267c40>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestRegion.test_region_limiter[1-True-True-guards0] ______________

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8628f0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
region_guards = 1

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize("region_guards", [0, 1])
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        region_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:134: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50197790c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestRegion.test_region_limiter[1-True-True-guards1] ______________

self = <xbout.tests.test_region.TestRegion object at 0x7f501a862940>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
region_guards = 1

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize("region_guards", [0, 1])
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        region_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:134: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50197e18a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestRegion.test_region_limiter[1-True-True-guards2] ______________

self = <xbout.tests.test_region.TestRegion object at 0x7f501a862990>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
region_guards = 1

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize("region_guards", [0, 1])
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        region_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:134: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5016014a00>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestRegion.test_region_limiter[1-True-True-guards3] ______________

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8629e0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
region_guards = 1

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize("region_guards", [0, 1])
    def test_region_limiter(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        region_guards,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="limiter",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:134: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f501632a560>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestRegion.test_region_xpoint[False-False-guards0] ______________

self = <xbout.tests.test_region.TestRegion object at 0x7f501a862a80>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_xpoint(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="xpoint",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:215: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50163d4d00>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestRegion.test_region_xpoint[False-False-guards1] ______________

self = <xbout.tests.test_region.TestRegion object at 0x7f501a862b20>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_xpoint(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="xpoint",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:215: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50162af1c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestRegion.test_region_xpoint[False-False-guards2] ______________

self = <xbout.tests.test_region.TestRegion object at 0x7f501a862bc0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_xpoint(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="xpoint",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:215: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5015457d00>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestRegion.test_region_xpoint[False-False-guards3] ______________

self = <xbout.tests.test_region.TestRegion object at 0x7f501a862c60>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_xpoint(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="xpoint",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:215: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50152c66e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestRegion.test_region_xpoint[True-False-guards0] _______________

self = <xbout.tests.test_region.TestRegion object at 0x7f501a862d00>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_xpoint(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="xpoint",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:215: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f501638b460>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestRegion.test_region_xpoint[True-False-guards1] _______________

self = <xbout.tests.test_region.TestRegion object at 0x7f501a862da0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_xpoint(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="xpoint",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:215: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5014dcd960>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestRegion.test_region_xpoint[True-False-guards2] _______________

self = <xbout.tests.test_region.TestRegion object at 0x7f501a862e40>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_xpoint(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="xpoint",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:215: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50155cb160>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestRegion.test_region_xpoint[True-False-guards3] _______________

self = <xbout.tests.test_region.TestRegion object at 0x7f501a862ee0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_xpoint(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="xpoint",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:215: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5014d8fbe0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestRegion.test_region_xpoint[False-True-guards0] _______________

self = <xbout.tests.test_region.TestRegion object at 0x7f501a862f80>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_xpoint(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="xpoint",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:215: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5014d39840>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestRegion.test_region_xpoint[False-True-guards1] _______________

self = <xbout.tests.test_region.TestRegion object at 0x7f501a863020>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_xpoint(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="xpoint",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:215: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50162a9540>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestRegion.test_region_xpoint[False-True-guards2] _______________

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8630c0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_xpoint(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="xpoint",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:215: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5016236380>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
______________ TestRegion.test_region_xpoint[False-True-guards3] _______________

self = <xbout.tests.test_region.TestRegion object at 0x7f501a863160>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_xpoint(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="xpoint",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:215: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f501514fd00>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_______________ TestRegion.test_region_xpoint[True-True-guards0] _______________

self = <xbout.tests.test_region.TestRegion object at 0x7f501a863200>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_xpoint(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="xpoint",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:215: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50155ad4e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_______________ TestRegion.test_region_xpoint[True-True-guards1] _______________

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8632a0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_xpoint(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="xpoint",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:215: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5015253a60>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_______________ TestRegion.test_region_xpoint[True-True-guards2] _______________

self = <xbout.tests.test_region.TestRegion object at 0x7f501a863340>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_xpoint(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="xpoint",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:215: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50160158a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_______________ TestRegion.test_region_xpoint[True-True-guards3] _______________

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8633e0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_xpoint(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="xpoint",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:215: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5015f00040>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
____________ TestRegion.test_region_singlenull[False-False-guards0] ____________

self = <xbout.tests.test_region.TestRegion object at 0x7f501a863430>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_singlenull(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="single-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:409: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5019af34c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
____________ TestRegion.test_region_singlenull[False-False-guards1] ____________

self = <xbout.tests.test_region.TestRegion object at 0x7f501a863480>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_singlenull(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="single-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:409: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50151931c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
____________ TestRegion.test_region_singlenull[False-False-guards2] ____________

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8634d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_singlenull(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="single-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:409: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5014b8bfa0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
____________ TestRegion.test_region_singlenull[False-False-guards3] ____________

self = <xbout.tests.test_region.TestRegion object at 0x7f501a863520>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_singlenull(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="single-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:409: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5014b26e60>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
____________ TestRegion.test_region_singlenull[True-False-guards0] _____________

self = <xbout.tests.test_region.TestRegion object at 0x7f501a863570>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_singlenull(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="single-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:409: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5014d31660>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
____________ TestRegion.test_region_singlenull[True-False-guards1] _____________

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8635c0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_singlenull(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="single-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:409: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50162aba60>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
____________ TestRegion.test_region_singlenull[True-False-guards2] _____________

self = <xbout.tests.test_region.TestRegion object at 0x7f501a863610>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_singlenull(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="single-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:409: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5014d9c0a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
____________ TestRegion.test_region_singlenull[True-False-guards3] _____________

self = <xbout.tests.test_region.TestRegion object at 0x7f501a863660>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_singlenull(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="single-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:409: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5015565360>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
____________ TestRegion.test_region_singlenull[False-True-guards0] _____________

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8636b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_singlenull(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="single-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:409: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5019f6de40>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
____________ TestRegion.test_region_singlenull[False-True-guards1] _____________

self = <xbout.tests.test_region.TestRegion object at 0x7f501a863700>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_singlenull(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="single-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:409: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f501975f6a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
____________ TestRegion.test_region_singlenull[False-True-guards2] _____________

self = <xbout.tests.test_region.TestRegion object at 0x7f501a863750>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_singlenull(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="single-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:409: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5014cf8700>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
____________ TestRegion.test_region_singlenull[False-True-guards3] _____________

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8637a0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_singlenull(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="single-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:409: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5014af7b80>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestRegion.test_region_singlenull[True-True-guards0] _____________

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8637f0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_singlenull(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="single-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:409: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5014b37340>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestRegion.test_region_singlenull[True-True-guards1] _____________

self = <xbout.tests.test_region.TestRegion object at 0x7f501a863840>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_singlenull(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="single-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:409: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5014b56d40>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestRegion.test_region_singlenull[True-True-guards2] _____________

self = <xbout.tests.test_region.TestRegion object at 0x7f501a863890>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_singlenull(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="single-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:409: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5014af9d80>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_____________ TestRegion.test_region_singlenull[True-True-guards3] _____________

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8638e0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_singlenull(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=4,
            nt=1,
            guards=guards,
            grid="grid",
            topology="single-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:409: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5015139600>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_______ TestRegion.test_region_connecteddoublenull[False-False-guards0] ________

self = <xbout.tests.test_region.TestRegion object at 0x7f501a863930>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_connecteddoublenull(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="connected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:578: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50160f3340>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_______ TestRegion.test_region_connecteddoublenull[False-False-guards1] ________

self = <xbout.tests.test_region.TestRegion object at 0x7f501a863980>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_connecteddoublenull(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="connected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:578: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f501626a620>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_______ TestRegion.test_region_connecteddoublenull[False-False-guards2] ________

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8639d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_connecteddoublenull(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="connected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:578: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5014858ca0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_______ TestRegion.test_region_connecteddoublenull[False-False-guards3] ________

self = <xbout.tests.test_region.TestRegion object at 0x7f501a863a20>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_connecteddoublenull(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="connected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:578: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5014ab5d80>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
________ TestRegion.test_region_connecteddoublenull[True-False-guards0] ________

self = <xbout.tests.test_region.TestRegion object at 0x7f501a863a70>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_connecteddoublenull(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="connected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:578: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5014aa1780>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
________ TestRegion.test_region_connecteddoublenull[True-False-guards1] ________

self = <xbout.tests.test_region.TestRegion object at 0x7f501a863ac0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_connecteddoublenull(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="connected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:578: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5014fd2560>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
________ TestRegion.test_region_connecteddoublenull[True-False-guards2] ________

self = <xbout.tests.test_region.TestRegion object at 0x7f501a863b10>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_connecteddoublenull(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="connected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:578: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5014fe37c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
________ TestRegion.test_region_connecteddoublenull[True-False-guards3] ________

self = <xbout.tests.test_region.TestRegion object at 0x7f501a863b60>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_connecteddoublenull(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="connected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:578: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5019daea40>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
________ TestRegion.test_region_connecteddoublenull[False-True-guards0] ________

self = <xbout.tests.test_region.TestRegion object at 0x7f501a863bb0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_connecteddoublenull(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="connected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:578: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5016267f40>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
________ TestRegion.test_region_connecteddoublenull[False-True-guards1] ________

self = <xbout.tests.test_region.TestRegion object at 0x7f501a863c00>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_connecteddoublenull(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="connected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:578: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5014d32620>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
________ TestRegion.test_region_connecteddoublenull[False-True-guards2] ________

self = <xbout.tests.test_region.TestRegion object at 0x7f501a863c50>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_connecteddoublenull(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="connected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:578: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5014dddd80>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
________ TestRegion.test_region_connecteddoublenull[False-True-guards3] ________

self = <xbout.tests.test_region.TestRegion object at 0x7f501a863ca0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_connecteddoublenull(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="connected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:578: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5014aa67a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
________ TestRegion.test_region_connecteddoublenull[True-True-guards0] _________

self = <xbout.tests.test_region.TestRegion object at 0x7f501a863cf0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_connecteddoublenull(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="connected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:578: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50153de140>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
________ TestRegion.test_region_connecteddoublenull[True-True-guards1] _________

self = <xbout.tests.test_region.TestRegion object at 0x7f501a863d40>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_connecteddoublenull(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="connected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:578: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f501538dae0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
________ TestRegion.test_region_connecteddoublenull[True-True-guards2] _________

self = <xbout.tests.test_region.TestRegion object at 0x7f501a863d90>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_connecteddoublenull(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="connected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:578: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5014879ae0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
________ TestRegion.test_region_connecteddoublenull[True-True-guards3] _________

self = <xbout.tests.test_region.TestRegion object at 0x7f501a863de0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True

    @pytest.mark.long
    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    def test_region_connecteddoublenull(
        self, bout_xyt_example_files, guards, keep_xboundaries, keep_yboundaries
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology="connected-double-null",
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:578: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50152522c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull[lower-disconnected-double-null-False-False-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a863e30>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:885: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5016201ae0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull[lower-disconnected-double-null-False-False-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a863e80>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:885: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50150f2fe0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull[lower-disconnected-double-null-False-False-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a863ed0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:885: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50148a01c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull[lower-disconnected-double-null-False-False-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a863f20>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:885: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5014ac99c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull[lower-disconnected-double-null-True-False-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e4050>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:885: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5014ce0ca0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull[lower-disconnected-double-null-True-False-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e40a0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:885: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5014c40580>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull[lower-disconnected-double-null-True-False-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e40f0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:885: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5014eea980>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull[lower-disconnected-double-null-True-False-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e4140>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:885: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5015503700>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull[lower-disconnected-double-null-False-True-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e4190>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:885: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5014d78520>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull[lower-disconnected-double-null-False-True-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e41e0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:885: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5015f8f040>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull[lower-disconnected-double-null-False-True-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e4230>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:885: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5014b34820>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull[lower-disconnected-double-null-False-True-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e4280>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:885: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5014a91de0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull[lower-disconnected-double-null-True-True-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e42d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:885: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5014c7af20>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull[lower-disconnected-double-null-True-True-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e4320>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:885: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50153d83a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull[lower-disconnected-double-null-True-True-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e4370>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:885: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f501446cb20>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull[lower-disconnected-double-null-True-True-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e43c0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:885: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50151004c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull[upper-disconnected-double-null-False-False-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e4410>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:885: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5014b55a80>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull[upper-disconnected-double-null-False-False-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e4460>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:885: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5016270580>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull[upper-disconnected-double-null-False-False-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e44b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:885: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5014bfcca0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull[upper-disconnected-double-null-False-False-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e4500>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:885: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5014feb340>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull[upper-disconnected-double-null-True-False-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e4550>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:885: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f501509cca0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull[upper-disconnected-double-null-True-False-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e45a0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:885: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f501503c3a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull[upper-disconnected-double-null-True-False-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e45f0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:885: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50149d1ba0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull[upper-disconnected-double-null-True-False-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e4640>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:885: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f501518a0e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull[upper-disconnected-double-null-False-True-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e4690>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:885: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5014ccfac0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull[upper-disconnected-double-null-False-True-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e46e0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:885: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5014cf96c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull[upper-disconnected-double-null-False-True-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e4730>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:885: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f501625d420>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull[upper-disconnected-double-null-False-True-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e4780>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:885: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50151d08e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull[upper-disconnected-double-null-True-True-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e47d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:885: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5014ddd540>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull[upper-disconnected-double-null-True-True-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e4820>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:885: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50144c0160>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull[upper-disconnected-double-null-True-True-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e4870>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:885: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5014c47400>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull[upper-disconnected-double-null-True-True-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e48c0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:885: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50152f2b60>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-False-False-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e4910>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 0, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50149a0340>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-False-False-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e4960>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 0, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f501509e2c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-False-False-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e49b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 0, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5016216680>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-False-False-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e4a00>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 0, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5016017460>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-True-False-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e4af0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 0, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5014cdac20>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-True-False-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e4b40>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 0, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50144b8340>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-True-False-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e4b90>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 0, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f501490a140>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-True-False-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e4be0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 0, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5014ff65c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-False-True-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e4c30>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 0, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50150303a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-False-True-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e4c80>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 0, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5016234040>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-False-True-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e4cd0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 0, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5014d72c20>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-False-True-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e4d20>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 0, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5014ddfa00>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-True-True-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e4d70>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 0, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50151d2ec0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-True-True-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e4dc0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 0, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50162a9c60>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-True-True-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e4e10>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 0, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5014cf8ac0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-True-True-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e4e60>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 0, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5014ccf100>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-False-False-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e4eb0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = {'x': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5014c06c20>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-False-False-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e4f00>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = {'x': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f501537c4c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-False-False-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e4f50>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = {'x': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50149cd6c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-False-False-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e4fa0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = {'x': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f501492a1a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-True-False-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e4ff0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = {'x': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5014b27b20>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-True-False-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e5040>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = {'x': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f501487a440>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-True-False-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e5090>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = {'x': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5014991ba0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-True-False-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e50e0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = {'x': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f501509e8c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-False-True-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e5130>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = {'x': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5014492b60>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-False-True-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e5180>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = {'x': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5015094520>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-False-True-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e51d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = {'x': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f501498bb20>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-False-True-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e5220>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = {'x': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50141b6d40>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-True-True-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e5270>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = {'x': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5014cf28c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-True-True-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e52c0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = {'x': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5014c083a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-True-True-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e5310>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = {'x': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5014dd94e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-True-True-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e5360>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = {'x': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f501518b340>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-False-False-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e53b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = {'theta': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50155642e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-False-False-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e5400>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = {'theta': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5014fa6d40>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-False-False-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e5450>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = {'theta': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50152f3d60>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-False-False-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e54a0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = {'theta': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f501443e2c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-True-False-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e54f0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = {'theta': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f501508b100>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-True-False-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e5540>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = {'theta': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50150d0dc0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-True-False-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e5590>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = {'theta': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50149d34c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-True-False-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e55e0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = {'theta': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5014b24ee0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-False-True-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e5630>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = {'theta': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50150ce6e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-False-True-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e5680>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = {'theta': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5014c5eda0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-False-True-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e56d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = {'theta': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50144c43a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-False-True-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e5720>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = {'theta': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50149e39a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-True-True-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e5770>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = {'theta': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50141db100>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-True-True-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e57c0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = {'theta': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5016234b80>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-True-True-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e5810>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = {'theta': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5014d605e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-True-True-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e5860>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = {'theta': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5014d5db40>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-False-False-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e58b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = {'theta': 1, 'x': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5015511f00>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-False-False-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e5900>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = {'theta': 1, 'x': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5014dda860>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-False-False-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e5950>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = {'theta': 1, 'x': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5014d46260>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-False-False-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e59a0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = {'theta': 1, 'x': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50162ab580>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-True-False-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e59f0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = {'theta': 1, 'x': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50141a02e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-True-False-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e5a40>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = {'theta': 1, 'x': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50141a4f40>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-True-False-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e5a90>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = {'theta': 1, 'x': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50144c5240>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-True-False-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e5ae0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = {'theta': 1, 'x': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50150a6380>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-False-True-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e5b30>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = {'theta': 1, 'x': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50144208e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-False-True-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e5b80>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = {'theta': 1, 'x': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5014ff0580>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-False-True-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e5bd0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = {'theta': 1, 'x': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5014499060>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-False-True-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e5c20>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = {'theta': 1, 'x': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50150d0460>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-True-True-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e5c70>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = {'theta': 1, 'x': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5014a709a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-True-True-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e5cc0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = {'theta': 1, 'x': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50143eaec0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-True-True-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e5d10>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = {'theta': 1, 'x': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5015522140>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-True-True-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e5d60>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = {'theta': 1, 'x': 1}, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5014c93460>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-False-False-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e5db0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 1, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f501533a9e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-False-False-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e5e00>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 1, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5014c22bc0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-False-False-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e5e50>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 1, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5014fe0820>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-False-False-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e5ea0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 1, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50153ddea0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-True-False-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e5ef0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 1, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50149a13c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-True-False-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e5f40>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 1, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5014eeace0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-True-False-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e5f90>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 1, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5014114fa0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-True-False-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e5fe0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 1, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5014732500>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-False-True-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e6030>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 1, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5015253820>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-False-True-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e6080>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 1, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50150236a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-False-True-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e60d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 1, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50154ab400>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-False-True-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e6120>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 1, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5014ff10c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-True-True-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e6170>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 1, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50150a4700>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-True-True-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e61c0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 1, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50141dbe20>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-True-True-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e6210>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 1, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5014a9d240>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-True-True-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e6260>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 1, dnd_type = 'lower-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50141a8a00>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-False-False-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e62b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 0, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5014706560>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-False-False-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e6300>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 0, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5014bef280>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-False-False-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e6350>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 0, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50153c4fa0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-False-False-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e63a0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 0, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50153a1240>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-True-False-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e63f0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 0, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f501446e4a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-True-False-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e6440>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 0, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5015388460>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-True-False-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e6490>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 0, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50153e2800>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-True-False-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e64e0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 0, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5014c25c00>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-False-True-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e6530>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 0, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f501532a8c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-False-True-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e6580>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 0, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50147b8b20>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-False-True-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e65d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 0, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f501492bd00>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-False-True-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e6620>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 0, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5014103d60>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-True-True-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e6670>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 0, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50149095a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-True-True-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e66c0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 0, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5014af3dc0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-True-True-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e6710>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 0, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5014fe8400>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-True-True-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e6760>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 0, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f501508ada0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-False-False-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e67b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = {'x': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50144d0ca0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-False-False-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e6800>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = {'x': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5014469720>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-False-False-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e6850>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = {'x': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50141061a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-False-False-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e68a0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = {'x': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50141a1fc0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-True-False-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e68f0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = {'x': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50148d62c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-True-False-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e6940>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = {'x': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50149cc400>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-True-False-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e6990>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = {'x': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5014d258a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-True-False-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e69e0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = {'x': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5015567ee0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-False-True-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e6a30>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = {'x': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50153ddc60>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-False-True-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e6a80>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = {'x': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5015503460>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-False-True-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e6ad0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = {'x': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5014ca4280>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-False-True-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e6b20>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = {'x': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50146e8520>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-True-True-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e6b70>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = {'x': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50141c25c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-True-True-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e6bc0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = {'x': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5014493e80>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-True-True-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e6c10>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = {'x': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50150d3040>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-True-True-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e6c60>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = {'x': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5014b64fa0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-False-False-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e6cb0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = {'theta': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50144ba440>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-False-False-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e6d00>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = {'theta': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5015003d60>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-False-False-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e6d50>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = {'theta': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50141790c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-False-False-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e6da0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = {'theta': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5014d08280>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-True-False-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e6df0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = {'theta': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50149803a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-True-False-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e6e40>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = {'theta': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5014114ac0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-True-False-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e6e90>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = {'theta': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5014d319c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-True-False-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e6ee0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = {'theta': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5014d53a00>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-False-True-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e6f30>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = {'theta': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5014d7ad40>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-False-True-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e6f80>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = {'theta': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f501447af20>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-False-True-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e6fd0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = {'theta': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5014118f40>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-False-True-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e7020>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = {'theta': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f501638a260>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-True-True-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e7070>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = {'theta': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f501627a560>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-True-True-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e70c0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = {'theta': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50147d8880>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-True-True-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e7110>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = {'theta': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50144c4340>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-True-True-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e7160>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = {'theta': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50149e24a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-False-False-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e71b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = {'theta': 1, 'x': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5014b541c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-False-False-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e7200>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = {'theta': 1, 'x': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5016292380>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-False-False-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e7250>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = {'theta': 1, 'x': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50149935e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-False-False-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e72a0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = {'theta': 1, 'x': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5015021b40>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-True-False-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e72f0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = {'theta': 1, 'x': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5015019780>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-True-False-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e7340>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = {'theta': 1, 'x': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f501491ab00>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-True-False-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e7390>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = {'theta': 1, 'x': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50147520e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-True-False-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e73e0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = {'theta': 1, 'x': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5014db5ba0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-False-True-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e7430>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = {'theta': 1, 'x': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5014a95c00>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-False-True-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e7480>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = {'theta': 1, 'x': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5014c78b80>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-False-True-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e74d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = {'theta': 1, 'x': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f501446f0a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-False-True-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e7520>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = {'theta': 1, 'x': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50155c9780>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-True-True-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e7570>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = {'theta': 1, 'x': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50153df760>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-True-True-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e75c0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = {'theta': 1, 'x': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50149706a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-True-True-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e7610>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = {'theta': 1, 'x': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5014193b20>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-True-True-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e7660>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = {'theta': 1, 'x': 1}, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5005712f20>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-False-False-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e76b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 1, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50153007c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-False-False-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e7700>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 1, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f501507b0a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-False-False-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e7750>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 1, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5016214160>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-False-False-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e77a0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = False
with_guards = 1, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5014c49ba0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-True-False-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e77f0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 1, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50150d95a0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-True-False-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e7840>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 1, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5016291420>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-True-False-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e7890>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 1, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f501508b520>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-True-False-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e78e0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = False
with_guards = 1, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5014980e80>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-False-True-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e7930>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 1, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f501625e5c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-False-True-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e7980>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 1, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5014ca6920>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-False-True-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e79d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 1, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f50153465c0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-False-True-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e7a20>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = False, keep_yboundaries = True
with_guards = 1, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5014ac72e0>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-True-True-guards0] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e7a70>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 1, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5014c23340>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-True-True-guards1] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e7ac0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 0}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 1, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f5014c78d00>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-True-True-guards2] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e7b10>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 0, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 1, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f501499c520>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
_ TestRegion.test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-True-True-guards3] _

self = <xbout.tests.test_region.TestRegion object at 0x7f501a8e7b60>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f501ac71c70>
guards = {'x': 2, 'y': 2}, keep_xboundaries = True, keep_yboundaries = True
with_guards = 1, dnd_type = 'upper-disconnected-double-null'

    @pytest.mark.parametrize(params_guards, params_guards_values)
    @pytest.mark.parametrize(params_boundaries, params_boundaries_values)
    @pytest.mark.parametrize(
        "with_guards", [0, {"x": 1}, {"theta": 1}, {"x": 1, "theta": 1}, 1]
    )
    @pytest.mark.parametrize(
        "dnd_type", ["lower-disconnected-double-null", "upper-disconnected-double-null"]
    )
    def test_region_disconnecteddoublenull_get_one_guard(
        self,
        bout_xyt_example_files,
        guards,
        keep_xboundaries,
        keep_yboundaries,
        with_guards,
        dnd_type,
    ):
        # Note using more than MXG x-direction points and MYG y-direction points per
        # output file ensures tests for whether boundary cells are present do not fail
        # when using minimal numbers of processors
        dataset_list, grid_ds = bout_xyt_example_files(
            None,
            lengths=(2, 3, 4, 3),
            nxpe=3,
            nype=6,
            nt=1,
            guards=guards,
            grid="grid",
            topology=dnd_type,
        )
    
>       ds = open_boutdataset(
            datapath=dataset_list,
            gridfilepath=grid_ds,
            geometry="toroidal",
            keep_xboundaries=keep_xboundaries,
            keep_yboundaries=keep_yboundaries,
        )

xbout/tests/test_region.py:1458: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/load.py:370: in open_boutdataset
    ds = geometries.apply_geometry(ds, geometry, grid=grid)
xbout/geometries.py:231: in apply_geometry
    np.linspace(start=z0, stop=z1, num=nz, endpoint=False), dims=zcoord
/usr/lib64/python3.14/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.14/site-packages/xarray/core/dataarray.py:4808: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context, return_scalar)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:2316: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.14/site-packages/xarray/core/variable.py:365: in __init__
    super().__init__(
/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f501491c820>
dims = ()

    def _parse_dimensions(self, dims: _DimsLike) -> _Dims:
        dims = (dims,) if isinstance(dims, str) else tuple(dims)
        if len(dims) != self.ndim:
>           raise ValueError(
                f"dimensions {dims} must have the same length as the "
                f"number of data dimensions, ndim={self.ndim}"
            )
E           ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1

/usr/lib/python3.14/site-packages/xarray/namedarray/core.py:508: ValueError
----------------------------- Captured stdout call -----------------------------
Applying toroidal geometry conventions
=============================== warnings summary ===============================
xbout/tests/test_against_collect.py: 21 warnings
xbout/tests/test_animate.py: 38 warnings
xbout/tests/test_boutdataset.py: 19 warnings
xbout/tests/test_load.py: 18 warnings
  /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/xbout/load.py:813: FutureWarning: The return type of `Dataset.dims` will be changed to return a set of dimension names in future, in order to be more consistent with `DataArray.dims`. To access a mapping from dimension names to lengths, please use `Dataset.sizes`.
    ds, "MXSUB", default=ds.dims["x"] - 2 * mxg, info=info

xbout/tests/test_against_collect.py: 21 warnings
xbout/tests/test_animate.py: 38 warnings
xbout/tests/test_boutdataset.py: 19 warnings
xbout/tests/test_load.py: 18 warnings
  /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/xbout/load.py:816: FutureWarning: The return type of `Dataset.dims` will be changed to return a set of dimension names in future, in order to be more consistent with `DataArray.dims`. To access a mapping from dimension names to lengths, please use `Dataset.sizes`.
    ds, "MYSUB", default=ds.dims["y"] - 2 * myg, info=info

xbout/tests/test_against_collect.py: 21 warnings
xbout/tests/test_animate.py: 38 warnings
xbout/tests/test_boutdataset.py: 19 warnings
xbout/tests/test_load.py: 18 warnings
  /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/xbout/load.py:831: FutureWarning: The return type of `Dataset.dims` will be changed to return a set of dimension names in future, in order to be more consistent with `DataArray.dims`. To access a mapping from dimension names to lengths, please use `Dataset.sizes`.
    nx_file = ds.dims["x"]

xbout/tests/test_against_collect.py: 21 warnings
xbout/tests/test_animate.py: 38 warnings
xbout/tests/test_boutdataset.py: 19 warnings
xbout/tests/test_load.py: 18 warnings
  /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/xbout/load.py:832: FutureWarning: The return type of `Dataset.dims` will be changed to return a set of dimension names in future, in order to be more consistent with `DataArray.dims`. To access a mapping from dimension names to lengths, please use `Dataset.sizes`.
    ny_file = ds.dims["y"]

xbout/tests/test_against_collect.py: 5 warnings
xbout/tests/test_animate.py: 38 warnings
xbout/tests/test_boutdataarray.py: 56 warnings
xbout/tests/test_boutdataset.py: 84 warnings
xbout/tests/test_geometries.py: 1 warning
xbout/tests/test_grid.py: 5 warnings
xbout/tests/test_load.py: 25 warnings
xbout/tests/test_plot.py: 144 warnings
xbout/tests/test_region.py: 304 warnings
  /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/xbout/geometries.py:147: FutureWarning: The return type of `Dataset.dims` will be changed to return a set of dimension names in future, in order to be more consistent with `DataArray.dims`. To access a mapping from dimension names to lengths, please use `Dataset.sizes`.
    nx = updated_ds.dims[xcoord]

xbout/tests/test_against_collect.py: 5 warnings
xbout/tests/test_animate.py: 38 warnings
xbout/tests/test_boutdataarray.py: 56 warnings
xbout/tests/test_boutdataset.py: 84 warnings
xbout/tests/test_load.py: 26 warnings
xbout/tests/test_plot.py: 144 warnings
xbout/tests/test_region.py: 304 warnings
  /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/xbout/geometries.py:184: FutureWarning: The return type of `Dataset.dims` will be changed to return a set of dimension names in future, in order to be more consistent with `DataArray.dims`. To access a mapping from dimension names to lengths, please use `Dataset.sizes`.
    nz = updated_ds.dims[zcoord]

xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_integrate_midpoints_slab
xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_integrate_midpoints_salpha[CELL_CENTRE]
xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_integrate_midpoints_salpha[CELL_XLOW]
xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_integrate_midpoints_salpha[CELL_YLOW]
xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_integrate_midpoints_salpha[CELL_ZLOW]
xbout/tests/test_boutdataset.py::TestSaveRestart::test_from_restart_to_restart
xbout/tests/test_grid.py::TestOpenGrid::test_open_grid_extra_dims
xbout/tests/test_load.py::TestOpen::test_restarts
  /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/xbout/load.py:350: UserWarning: No geometry type found, no physical coordinates will be added
    warn("No geometry type found, no physical coordinates will be added")

xbout/tests/test_load.py::TestOpen::test_combine_along_xy[lengths0-True-True]
xbout/tests/test_load.py::TestOpen::test_combine_along_xy[lengths1-False-False]
xbout/tests/test_load.py::TestOpen::test_combine_along_xy[lengths1-True-False]
xbout/tests/test_load.py::TestOpen::test_combine_along_xy[lengths1-True-True]
  /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/xbout/tests/test_load.py:520: UserWarning: rename 't_array' to 't' does not create an index anymore. Try using swap_dims instead or use set_index after rename to create an indexed coordinate.
    expected = expected.set_coords(["t_array", "dx", "dy", "dz"]).rename(

xbout/tests/test_load.py::TestOpen::test_salpha
  /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/xbout/geometries.py:482: UserWarning: rename 'x' to 'r' does not create an index anymore. Try using swap_dims instead or use set_index after rename to create an indexed coordinate.
    ds = ds.rename(x="r")

-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
============================== slowest durations ===============================
2.80s call     xbout/tests/test_against_collect.py::TestAccuracyAgainstOldCollect::test_new_collect_indexing_slice
1.51s call     xbout/tests/test_against_collect.py::TestAccuracyAgainstOldCollect::test_new_collect_indexing_list
1.44s call     xbout/tests/test_against_collect.py::TestAccuracyAgainstOldCollect::test_new_collect_indexing_int
1.34s call     xbout/tests/test_load.py::TestOpen::test_combine_along_xy[lengths1-True-True]
1.27s call     xbout/tests/test_boutdataset.py::TestSaveRestart::test_to_restart_change_npe_doublenull
1.20s call     xbout/tests/test_load.py::TestOpen::test_combine_along_xy[lengths1-False-False]
1.20s call     xbout/tests/test_load.py::TestOpen::test_combine_along_xy[lengths1-True-False]
1.18s call     xbout/tests/test_boutdataset.py::TestSaveRestart::test_to_restart_change_npe_doublenull_expect_fail[npes0]
1.09s call     xbout/tests/test_boutdataset.py::TestSave::test_save_all
1.05s call     xbout/tests/test_load.py::TestOpen::test_combine_along_xy[lengths0-True-True]
1.02s call     xbout/tests/test_boutdataset.py::TestSave::test_reload_all[None]
0.85s call     xbout/tests/test_load.py::TestOpen::test_combine_along_xy[lengths0-False-False]
0.78s call     xbout/tests/test_load.py::TestOpen::test_combine_along_xy[lengths0-True-False]
0.72s call     xbout/tests/test_boutdataset.py::TestSaveRestart::test_from_restart_to_restart
0.68s call     xbout/tests/test_boutdataset.py::TestSaveRestart::test_to_restart_change_npe_doublenull_expect_fail[npes1]
0.66s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_subplots_adjust
0.65s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_controls_arg[controls5]
0.65s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_logscale_list
0.64s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_controls_arg[controls1]
0.64s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_1d_multiline
0.63s setup    xbout/tests/test_animate.py::TestAnimate::test_animate1D_controls_arg[controls1]
0.63s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_vmax
0.63s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_fps
0.62s call     xbout/tests/test_boutdataset.py::TestSave::test_reload_all[toroidal]
0.59s setup    xbout/tests/test_animate.py::TestAnimate::test_animate1D_controls_arg[controls4]
0.57s call     xbout/tests/test_load.py::TestOpen::test_toroidal
0.55s setup    xbout/tests/test_animate.py::TestAnimate::test_animate2D_controls_arg[controls5]
0.54s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_controls_arg[controls4]
0.54s call     xbout/tests/test_against_collect.py::TestAccuracyAgainstOldCollect::test_multiple_files_along_xy
0.54s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_vmin_list
0.54s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_controls_arg[controls0]
0.54s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_controls_arg[controls3]
0.53s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_logscale_float
0.53s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_not_enough_nrowsncols
0.53s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_save_as
0.53s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_titles_list
0.53s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_1d_default
0.52s setup    xbout/tests/test_animate.py::TestAnimate::test_animate1D_controls_arg[controls0]
0.52s setup    xbout/tests/test_animate.py::TestAnimate::test_animate1D
0.52s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_vmin
0.52s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_animate_over
0.52s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_ncols
0.52s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_logscale
0.52s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list
0.51s setup    xbout/tests/test_animate.py::TestAnimate::test_animate1D_controls_arg[controls3]
0.50s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_vmax_list
0.50s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_controls_arg[controls2]
0.50s setup    xbout/tests/test_animate.py::TestAnimate::test_animate2D_controls_arg[controls4]
0.50s setup    xbout/tests/test_animate.py::TestAnimate::test_animate1D_controls_arg[controls5]
0.49s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_nrows
0.49s setup    xbout/tests/test_animate.py::TestAnimate::test_animate1D_controls_arg[controls2]
0.48s setup    xbout/tests/test_animate.py::TestAnimate::test_animate2D_controls_arg[controls3]
0.46s setup    xbout/tests/test_animate.py::TestAnimate::test_animate2D_controls_arg[controls2]
0.45s call     xbout/tests/test_boutdataset.py::TestSaveRestart::test_to_restart[None]
0.45s setup    xbout/tests/test_animate.py::TestAnimate::test_animate2D_controls_arg[controls1]
0.44s setup    xbout/tests/test_animate.py::TestAnimate::test_animate2D
0.44s setup    xbout/tests/test_animate.py::TestAnimate::test_animate2D_controls_arg[controls0]
0.32s call     xbout/tests/test_load.py::TestOpen::test_salpha
0.32s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-0-False-False-guards0]
0.29s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-False-False-guards3]
0.29s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[upper-disconnected-double-null-False-False-guards1]
0.28s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-0-False-False-guards1]
0.28s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-0-False-False-guards1]
0.28s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-0-False-False-guards3]
0.28s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-0-False-False-guards0]
0.28s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-0-False-False-guards3]
0.28s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-0-False-False-guards2]
0.28s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[upper-disconnected-double-null-False-False-guards0]
0.28s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-0-False-False-guards2]
0.28s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_from_unstructured
0.28s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-False-False-guards0]
0.28s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[upper-disconnected-double-null-False-False-guards3]
0.28s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-False-False-guards1]
0.28s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-False-False-guards2]
0.28s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[upper-disconnected-double-null-False-False-guards2]
0.28s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_from_unstructured_unstructured_output
0.28s call     xbout/tests/test_boutdataset.py::TestSave::test_save_separate_variables
0.28s call     xbout/tests/test_boutdataset.py::TestSave::test_reload_separate_variables[toroidal]
0.28s call     xbout/tests/test_region.py::TestRegion::test_region_connecteddoublenull[False-False-guards1]
0.27s call     xbout/tests/test_region.py::TestRegion::test_region_connecteddoublenull[False-False-guards0]
0.27s call     xbout/tests/test_region.py::TestRegion::test_region_connecteddoublenull[False-False-guards3]
0.27s call     xbout/tests/test_region.py::TestRegion::test_region_connecteddoublenull[False-False-guards2]
0.27s call     xbout/tests/test_load.py::TestOpen::test_combine_along_x
0.25s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel_limiter
0.24s call     xbout/tests/test_boutdataset.py::TestSaveRestart::test_to_restart_change_npe
0.23s call     xbout/tests/test_boutdataset.py::TestSaveRestart::test_to_restart[1]
0.21s call     xbout/tests/test_load.py::TestOpen::test_combine_along_y
0.20s call     xbout/tests/test_against_collect.py::TestAccuracyAgainstOldCollect::test_multiple_files_along_y
0.20s call     xbout/tests/test_against_collect.py::TestAccuracyAgainstOldCollect::test_multiple_files_along_x
0.19s call     xbout/tests/test_region.py::TestRegion::test_region_xpoint[False-False-guards3]
0.19s call     xbout/tests/test_region.py::TestRegion::test_region_xpoint[False-False-guards2]
0.19s call     xbout/tests/test_region.py::TestRegion::test_region_xpoint[False-False-guards0]
0.19s call     xbout/tests/test_region.py::TestRegion::test_region_xpoint[False-False-guards1]
0.19s call     xbout/tests/test_region.py::TestRegion::test_region_singlenull[False-False-guards2]
0.19s call     xbout/tests/test_region.py::TestRegion::test_region_singlenull[False-False-guards1]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_singlenull[False-False-guards0]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_singlenull[False-False-guards3]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[0-False-False-guards0]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_core[False-False-guards2]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[0-False-False-guards1]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[0-False-False-guards2]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[0-False-False-guards3]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_core[False-False-guards3]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_sol[False-False-guards1]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_core[False-False-guards0]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_sol[False-False-guards0]
0.18s call     xbout/tests/test_region.py::TestRegion::test_region_sol[False-False-guards3]
0.17s call     xbout/tests/test_region.py::TestRegion::test_region_core[False-False-guards1]
0.17s call     xbout/tests/test_region.py::TestRegion::test_region_sol[False-False-guards2]
0.17s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_to_dataset
0.16s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-True-False-guards2]
0.16s call     xbout/tests/test_boutdataset.py::TestSave::test_reload_separate_variables_time_split[toroidal]
0.16s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-True-True-guards0]
0.16s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-False-False-guards0]
0.16s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-0-True-False-guards3]
0.15s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-1-True-True-guards3]
0.15s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-2-True-False-guards3]
0.15s call     xbout/tests/test_load.py::TestOpen::test_drop_vars
0.14s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-True-False-guards2]
0.14s call     xbout/tests/test_boutdataset.py::TestSave::test_reload_separate_variables[None]
0.14s call     xbout/tests/test_boutdataset.py::TestSave::test_reload_separate_variables_time_split[None]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-True-False-guards1]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-True-True-guards1]
0.12s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-True-True-guards3]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-True-True-guards0]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[lower-disconnected-double-null-True-True-guards3]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-False-True-guards0]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[lower-disconnected-double-null-True-False-guards2]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-True-True-guards2]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-False-False-guards1]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-True-False-guards3]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-0-True-False-guards2]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-False-False-guards3]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-True-False-guards3]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-False-True-guards1]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-False-False-guards1]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-False-False-guards3]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[upper-disconnected-double-null-True-False-guards3]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-True-False-guards0]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-1-True-False-guards3]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-1-True-True-guards3]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-2-True-True-guards2]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-0-True-True-guards2]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-1-True-False-guards3]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_singlenull[True-True-guards2]
0.12s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_remove_yboundaries[False-0-2]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-True-True-guards1]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-False-True-guards1]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-0-True-True-guards2]
0.12s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_remove_yboundaries[False-0-0]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-True-False-guards3]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-True-True-guards3]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-True-False-guards2]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-True-False-guards3]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-True-False-guards3]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-2-True-True-guards3]
0.12s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_remove_yboundaries[False-2-2]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-False-True-guards2]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-True-True-guards2]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-True-False-guards3]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[lower-disconnected-double-null-True-True-guards0]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-True-True-guards2]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-True-True-guards2]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-False-True-guards2]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-False-True-guards0]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[upper-disconnected-double-null-True-True-guards0]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-True-True-guards1]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-0-True-True-guards0]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[upper-disconnected-double-null-True-True-guards2]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-True-False-guards0]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-False-True-guards3]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[lower-disconnected-double-null-False-True-guards2]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-2-False-True-guards0]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-True-True-guards3]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-True-True-guards3]
0.11s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_remove_yboundaries[False-2-0]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-False-True-guards2]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-True-True-guards3]
0.11s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-2-True-True-guards0]
0.11s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-0-True-False-guards3]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-True-True-guards2]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-True-True-guards3]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-True-True-guards0]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-True-True-guards1]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-True-True-guards2]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[upper-disconnected-double-null-True-True-guards1]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-True-True-guards1]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-False-False-guards3]
0.11s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-1-True-True-guards0]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[lower-disconnected-double-null-True-False-guards3]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-True-True-guards2]
0.11s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-0-True-True-guards0]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-True-True-guards3]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-True-False-guards2]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-True-True-guards3]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-False-True-guards2]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-True-False-guards0]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[upper-disconnected-double-null-True-False-guards1]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[upper-disconnected-double-null-True-True-guards3]
0.11s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-1-True-False-guards0]
0.11s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-True-False-guards3]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-True-False-guards2]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-True-False-guards2]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-True-False-guards2]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-False-True-guards3]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-True-False-guards3]
0.11s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-2-True-True-guards2]
0.11s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-2-True-False-guards3]
0.11s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-0-True-True-guards3]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-True-True-guards3]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-True-False-guards1]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-False-True-guards1]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-True-False-guards2]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-False-True-guards3]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-True-False-guards0]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-True-True-guards0]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-True-False-guards3]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[lower-disconnected-double-null-True-True-guards2]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-True-False-guards2]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-True-True-guards0]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-False-False-guards1]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-True-False-guards2]
0.11s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-2-True-True-guards3]
0.11s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-1-True-False-guards1]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-False-True-guards1]
0.11s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-2-False-True-guards0]
0.11s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-0-True-True-guards3]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[upper-disconnected-double-null-False-True-guards3]
0.11s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-2-False-True-guards1]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-False-False-guards2]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-False-True-guards1]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-False-False-guards3]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-True-True-guards1]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-True-False-guards1]
0.11s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-2-True-False-guards2]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-False-True-guards1]
0.11s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-1-True-True-guards2]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-True-False-guards3]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-False-True-guards3]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-False-False-guards2]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-True-True-guards1]
0.11s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-True-False-guards2]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-True-True-guards1]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-False-True-guards0]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-True-False-guards0]
0.11s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-True-True-guards2]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-True-True-guards2]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-False-True-guards0]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-False-True-guards3]
0.11s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-2-True-True-guards1]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[lower-disconnected-double-null-False-False-guards2]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-False-False-guards1]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[upper-disconnected-double-null-False-True-guards1]
0.11s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-1-True-True-guards0]
0.11s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-True-True-guards1]
0.11s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-True-True-guards1]
0.11s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-2-False-True-guards3]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-True-False-guards0]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-True-True-guards3]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-False-False-guards2]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-True-True-guards3]
0.11s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-2-True-False-guards0]
0.11s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-2-True-False-guards2]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[lower-disconnected-double-null-True-True-guards1]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-False-True-guards0]
0.11s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-2-True-False-guards0]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-False-True-guards2]
0.11s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-2-False-True-guards2]
0.11s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-2-True-True-guards1]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-False-False-guards2]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[lower-disconnected-double-null-False-False-guards0]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-False-True-guards3]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[lower-disconnected-double-null-False-True-guards3]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_connecteddoublenull[True-True-guards2]
0.11s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-True-True-guards3]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-False-True-guards3]
0.11s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-2-False-False-guards2]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-True-True-guards0]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-False-True-guards3]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-False-True-guards0]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-True-True-guards1]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-False-False-guards2]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-True-False-guards1]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[lower-disconnected-double-null-True-False-guards0]
0.11s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-0-False-True-guards1]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-True-True-guards2]
0.11s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-1-True-False-guards1]
0.11s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-1-False-True-guards0]
0.11s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-1-False-False-guards2]
0.11s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-2-False-True-guards2]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-True-False-guards0]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-True-True-guards2]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-False-False-guards3]
0.11s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-1-False-True-guards2]
0.11s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-1-True-True-guards1]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[lower-disconnected-double-null-True-False-guards1]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-False-False-guards3]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-False-False-guards3]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-True-True-guards1]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-False-True-guards3]
0.11s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-True-True-guards0]
0.11s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-False-True-guards3]
0.11s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-1-False-True-guards2]
0.11s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-1-True-False-guards2]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-False-True-guards1]
0.11s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-1-False-True-guards0]
0.11s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-1-True-True-guards1]
0.11s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-0-True-True-guards1]
0.11s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-2-False-True-guards1]
0.11s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-0-False-True-guards2]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-False-True-guards1]
0.11s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-1-False-False-guards0]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-True-True-guards0]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-True-False-guards1]
0.11s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-0-False-True-guards3]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-True-False-guards1]
0.11s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-1-True-False-guards0]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-False-True-guards2]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-True-False-guards1]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[upper-disconnected-double-null-True-False-guards0]
0.11s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-2-True-True-guards0]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-False-False-guards0]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-False-True-guards2]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-False-True-guards3]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-False-True-guards2]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-False-False-guards1]
0.11s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-False-True-guards0]
0.11s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-1-False-True-guards1]
0.11s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-2-False-False-guards1]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[lower-disconnected-double-null-False-False-guards3]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[upper-disconnected-double-null-False-True-guards2]
0.11s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-1-False-True-guards1]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-False-True-guards2]
0.11s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-1-True-False-guards2]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-True-False-guards0]
0.11s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-0-False-True-guards1]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-True-True-guards0]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[lower-disconnected-double-null-False-True-guards1]
0.11s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-True-False-guards3]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[upper-disconnected-double-null-True-False-guards2]
0.11s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-True-False-guards0]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-True-False-guards2]
0.11s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-True-True-guards2]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-False-False-guards3]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-True-False-guards0]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-False-True-guards0]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-True-True-guards0]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[upper-disconnected-double-null-False-True-guards0]
0.11s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-2-False-False-guards3]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-True-False-guards0]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-False-False-guards1]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-False-False-guards2]
0.11s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-0-False-True-guards3]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-False-True-guards1]
0.11s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-2-True-False-guards1]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-False-False-guards1]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-True-False-guards1]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-True-False-guards1]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-False-False-guards1]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-True-False-guards3]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[lower-disconnected-double-null-False-False-guards1]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-True-False-guards1]
0.11s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-True-True-guards0]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-False-False-guards0]
0.11s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-True-False-guards0]
0.11s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-1-False-False-guards3]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-False-False-guards0]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-False-True-guards0]
0.11s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-2-True-False-guards1]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-False-False-guards0]
0.11s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-0-False-True-guards0]
0.11s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-False-True-guards3]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-False-False-guards3]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-False-True-guards0]
0.11s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-1-True-True-guards2]
0.11s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-0-False-True-guards2]
0.11s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-False-True-guards1]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-False-False-guards2]
0.11s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-0-True-False-guards0]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-True-True-guards0]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-False-True-guards2]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-False-False-guards3]
0.11s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-True-False-guards1]
0.11s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-0-True-True-guards1]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-False-False-guards1]
0.11s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-1-False-False-guards2]
0.11s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-True-False-guards1]
0.11s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-1-False-False-guards1]
0.11s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-False-False-guards2]
0.11s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-0-True-False-guards1]
0.11s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-2-False-True-guards3]
0.11s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-1-False-True-guards3]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-False-False-guards1]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-False-True-guards0]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-False-False-guards2]
0.11s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-0-False-True-guards0]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[lower-disconnected-double-null-False-True-guards0]
0.11s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-False-True-guards0]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-False-True-guards1]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-False-False-guards0]
0.11s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-0-True-False-guards2]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-False-False-guards0]
0.11s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-2-False-False-guards2]
0.11s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-2-False-False-guards1]
0.11s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-False-True-guards1]
0.11s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-0-True-False-guards0]
0.11s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-1-False-True-guards3]
0.11s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-2-False-False-guards3]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-False-False-guards2]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-False-False-guards0]
0.11s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-False-False-guards1]
0.11s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-1-False-False-guards3]
0.11s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-False-False-guards0]
0.11s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-2-False-False-guards0]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-False-False-guards0]
0.11s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-0-True-False-guards1]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-False-False-guards2]
0.11s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-False-True-guards2]
0.11s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-2-False-False-guards0]
0.11s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-1-False-False-guards1]
0.11s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-1-False-False-guards0]
0.11s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-False-False-guards3]
0.11s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-False-True-guards2]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-False-False-guards0]
0.11s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_derivatives_doublenull
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_connecteddoublenull[True-False-guards1]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_connecteddoublenull[True-True-guards3]
0.10s call     xbout/tests/test_load.py::TestOpen::test_restarts
0.10s call     xbout/tests/test_region.py::TestRegion::test_region_connecteddoublenull[True-True-guards0]
0.10s call     xbout/tests/test_region.py::TestRegion::test_region_connecteddoublenull[True-False-guards2]
0.10s call     xbout/tests/test_region.py::TestRegion::test_region_connecteddoublenull[True-False-guards3]
0.10s call     xbout/tests/test_region.py::TestRegion::test_region_connecteddoublenull[False-True-guards2]
0.10s call     xbout/tests/test_region.py::TestRegion::test_region_connecteddoublenull[False-True-guards0]
0.10s call     xbout/tests/test_region.py::TestRegion::test_region_connecteddoublenull[True-True-guards1]
0.10s call     xbout/tests/test_region.py::TestRegion::test_region_connecteddoublenull[False-True-guards3]
0.10s call     xbout/tests/test_region.py::TestRegion::test_region_connecteddoublenull[False-True-guards1]
0.10s call     xbout/tests/test_region.py::TestRegion::test_region_connecteddoublenull[True-False-guards0]
0.10s call     xbout/tests/test_load.py::TestOpen::test_squashed_file
0.10s call     xbout/tests/test_against_collect.py::TestAccuracyAgainstOldCollect::test_single_file
0.09s call     xbout/tests/test_load.py::TestOpen::test_squashed_doublenull_file[False-False]
0.08s call     xbout/tests/test_boutdataset.py::TestSave::test_save_dtype[False-float64]
0.08s call     xbout/tests/test_region.py::TestRegion::test_region_xpoint[True-True-guards0]
0.08s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_remove_yboundaries[True-0-2]
0.08s call     xbout/tests/test_fastoutput.py::TestFastOutput::test_open_fastoutput
0.08s call     xbout/tests/test_region.py::TestRegion::test_region_xpoint[True-True-guards1]
0.08s call     xbout/tests/test_region.py::TestRegion::test_region_xpoint[True-True-guards2]
0.08s call     xbout/tests/test_region.py::TestRegion::test_region_xpoint[True-False-guards0]
0.08s call     xbout/tests/test_region.py::TestRegion::test_region_xpoint[True-False-guards3]
0.08s call     xbout/tests/test_region.py::TestRegion::test_region_xpoint[True-True-guards3]
0.08s call     xbout/tests/test_region.py::TestRegion::test_region_xpoint[True-False-guards2]
0.08s call     xbout/tests/test_region.py::TestRegion::test_region_xpoint[False-True-guards0]
0.08s call     xbout/tests/test_region.py::TestRegion::test_region_xpoint[False-True-guards3]
0.08s call     xbout/tests/test_region.py::TestRegion::test_region_xpoint[True-False-guards1]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_singlenull[True-False-guards0]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_xpoint[False-True-guards2]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_xpoint[False-True-guards1]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_singlenull[False-True-guards2]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_singlenull[False-True-guards3]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_singlenull[True-True-guards1]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_singlenull[True-False-guards3]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_singlenull[True-False-guards1]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_singlenull[True-False-guards2]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_singlenull[True-True-guards3]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_singlenull[False-True-guards1]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_singlenull[True-True-guards0]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_singlenull[False-True-guards0]
0.07s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_integrate_midpoints_salpha[CELL_CENTRE]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[1-False-True-guards2]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_sol[True-True-guards2]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[0-True-True-guards0]
0.07s call     xbout/tests/test_against_collect.py::TestAccuracyAgainstOldCollect::test_metadata
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[1-False-False-guards0]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[0-True-False-guards3]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[0-False-True-guards1]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[1-False-False-guards1]
0.07s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_integrate_midpoints_slab
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_sol[True-False-guards1]
0.06s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[0-False-True-guards0]
0.06s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[1-True-True-guards0]
0.06s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[1-False-True-guards3]
0.06s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[0-False-True-guards3]
0.06s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[0-True-False-guards1]
0.06s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[0-True-True-guards1]
0.06s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[1-True-True-guards3]
0.06s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[1-False-False-guards2]
0.06s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[0-True-True-guards3]
0.06s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[1-False-True-guards1]
0.06s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[0-True-True-guards2]
0.06s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[1-True-False-guards3]
0.06s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[0-True-False-guards0]
0.06s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[0-False-True-guards2]
0.06s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[0-True-False-guards2]
0.06s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[1-True-True-guards2]
0.06s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[1-True-False-guards0]
0.06s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[1-True-True-guards1]
0.06s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[1-False-True-guards0]
0.06s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[1-True-False-guards1]
0.06s call     xbout/tests/test_region.py::TestRegion::test_region_sol[True-True-guards3]
0.06s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[1-False-False-guards3]
0.06s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[1-True-False-guards2]
0.06s call     xbout/tests/test_region.py::TestRegion::test_region_sol[False-True-guards0]
0.06s call     xbout/tests/test_region.py::TestRegion::test_region_sol[True-False-guards2]
0.06s call     xbout/tests/test_region.py::TestRegion::test_region_core[True-True-guards1]
0.06s call     xbout/tests/test_region.py::TestRegion::test_region_sol[True-True-guards1]
0.06s call     xbout/tests/test_region.py::TestRegion::test_region_core[True-True-guards0]
0.06s call     xbout/tests/test_region.py::TestRegion::test_region_sol[False-True-guards3]
0.06s call     xbout/tests/test_region.py::TestRegion::test_region_sol[True-False-guards3]
0.06s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_interpolate_parallel_region_singlenull
0.06s call     xbout/tests/test_region.py::TestRegion::test_region_sol[True-True-guards0]
0.06s call     xbout/tests/test_region.py::TestRegion::test_region_core[True-True-guards2]
0.06s call     xbout/tests/test_region.py::TestRegion::test_region_core[True-False-guards2]
0.06s call     xbout/tests/test_region.py::TestRegion::test_region_core[False-True-guards1]
0.06s call     xbout/tests/test_region.py::TestRegion::test_region_core[False-True-guards0]
0.06s call     xbout/tests/test_region.py::TestRegion::test_region_core[True-False-guards0]
0.06s call     xbout/tests/test_region.py::TestRegion::test_region_sol[False-True-guards1]
0.06s call     xbout/tests/test_region.py::TestRegion::test_region_core[False-True-guards3]
0.06s call     xbout/tests/test_region.py::TestRegion::test_region_sol[False-True-guards2]
0.06s call     xbout/tests/test_region.py::TestRegion::test_region_core[True-False-guards3]
0.06s call     xbout/tests/test_region.py::TestRegion::test_region_core[True-True-guards3]
0.06s call     xbout/tests/test_region.py::TestRegion::test_region_sol[True-False-guards0]
0.06s call     xbout/tests/test_region.py::TestRegion::test_region_core[True-False-guards1]
0.06s call     xbout/tests/test_region.py::TestRegion::test_region_core[False-True-guards2]
0.06s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_remove_yboundaries[True-0-0]
0.06s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_remove_yboundaries[0-2]
0.06s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_remove_yboundaries[0-0]
0.06s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_remove_yboundaries[True-2-0]
0.06s call     xbout/tests/test_load.py::TestOpen::test_squashed_doublenull_file[False-True]
0.06s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_remove_yboundaries[True-2-2]
0.06s call     xbout/tests/test_load.py::TestOpen::test_single_file
0.06s call     xbout/tests/test_load.py::TestOpen::test_squashed_doublenull_file[True-False]
0.06s call     xbout/tests/test_boutdataset.py::TestSave::test_save_dtype[False-float32]
0.05s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_remove_yboundaries[2-2]
0.05s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_remove_yboundaries[2-0]
0.05s call     xbout/tests/test_load.py::TestOpen::test_squashed_doublenull_file[True-True]
0.05s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_get_field_aligned
0.05s call     xbout/tests/test_boutdataset.py::TestBoutDatasetIsXarrayDataset::test_concat
0.05s call     xbout/tests/test_boutdataset.py::TestSave::test_save_dtype[True-float64]
0.05s call     xbout/tests/test_boutdataset.py::TestSave::test_save_dtype[True-float32]
0.04s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_integrate_midpoints_salpha[CELL_ZLOW]
0.04s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_integrate_midpoints_salpha[CELL_YLOW]
0.04s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_integrate_midpoints_salpha[CELL_XLOW]
0.03s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_interpolate_parallel_toroidal_points
0.03s call     xbout/tests/test_grid.py::TestOpenGrid::test_open_grid_chunks
0.03s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_interpolate_parallel_toroidal_points_list
0.03s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_interpolate_parallel
0.03s call     xbout/tests/test_grid.py::TestOpenGrid::test_open_grid_extra_dims
0.03s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[0-False-False-guards2]
0.03s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[0-False-False-guards3]
0.03s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[0-False-False-guards1]
0.03s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[0-False-False-guards0]
0.03s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel_all_variables_arg
0.03s call     xbout/tests/test_grid.py::TestOpenGrid::test_open_grid
0.03s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_interpolate_parallel_region_sol
0.03s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_ddy
0.03s call     xbout/tests/test_grid.py::TestOpenGrid::test_open_grid_chunks_not_in_grid
0.03s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_interpolate_parallel_region_core
0.02s call     xbout/tests/test_load.py::test_set_fci_coords
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[1-False-True-guards1]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[0-True-False-guards2]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[0-True-False-guards1]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[2-False-True-guards3]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[1-False-True-guards3]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[2-True-True-guards1]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[2-True-False-guards3]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[0-True-False-guards0]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[2-False-True-guards2]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[0-True-False-guards3]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[2-True-False-guards2]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[1-True-False-guards2]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[0-True-True-guards3]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[1-True-True-guards1]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[2-False-False-guards3]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[1-False-False-guards1]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[1-True-False-guards0]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[2-False-False-guards2]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[2-True-True-guards0]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[1-True-False-guards3]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[1-True-False-guards1]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[2-True-True-guards2]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[0-False-True-guards2]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[1-False-False-guards2]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[1-True-True-guards2]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[1-False-True-guards2]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[1-False-False-guards3]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[1-True-True-guards3]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[0-True-True-guards0]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[0-False-True-guards1]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[2-True-False-guards1]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[1-False-False-guards0]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[2-True-False-guards0]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[2-False-True-guards1]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[2-False-True-guards0]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[2-False-False-guards1]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[1-False-True-guards0]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[1-True-True-guards0]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[0-False-True-guards0]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[2-True-True-guards3]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[0-True-True-guards2]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[0-False-True-guards3]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[0-True-True-guards1]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[2-False-False-guards0]
0.02s call     xbout/tests/test_load.py::TestOpen::test_squashed_doublenull[False-False]
0.02s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_interpolate_parallel_region_core_change_n[18]
0.02s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_interpolate_to_cartesian
0.02s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_to_field_aligned[False-7]
0.02s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_interpolate_parallel_sol
0.02s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_interpolate_parallel_region_core_change_n[2]
0.02s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_add_cartesian_coordinates
0.02s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_interpolate_parallel_region_core_change_n[3]
0.02s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_to_field_aligned[False-9]
0.02s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_to_field_aligned[False-6]
0.02s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_ddx
0.02s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_interpolate_parallel_region_core_change_n[7]
0.02s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_to_field_aligned[False-8]
0.02s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_ddz
0.02s setup    xbout/tests/test_load.py::test_set_fci_coords
0.01s call     xbout/tests/test_grid.py::TestOpenGrid::test_open_grid_apply_geometry
0.01s call     xbout/tests/test_load.py::TestPathHandling::test_glob_expansion_both[3-111]
0.01s call     xbout/tests/test_load.py::TestStripMetadata::test_strip_metadata
0.01s call     xbout/tests/test_load.py::TestPathHandling::test_glob_expansion_brackets[3-111]
0.01s call     xbout/tests/test_load.py::TestPathHandling::test_glob_expansion_both[121-2]
0.01s call     xbout/calc/tests/test_turbulence.py::TestRootMeanSquare::test_reduce_2d_dask
0.01s call     xbout/tests/test_load.py::TestTrim::test_infer_boundaries_2d_parallelization_by_filenum[0-3-3-4-lower_boundaries9-upper_boundaries9]
0.01s call     xbout/tests/test_load.py::TestTrim::test_trim_timing_info[False]
0.01s call     xbout/tests/test_load.py::TestTrim::test_trim_timing_info[True]
0.01s call     xbout/tests/test_load.py::TestOpen::test_squashed_doublenull[True-True]
0.01s call     xbout/tests/test_load.py::TestOpen::test_squashed_doublenull[False-True]
0.01s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_from_field_aligned_staggered[True-CELL_ZLOW]
0.01s call     xbout/tests/test_load.py::TestOpen::test_squashed_doublenull[True-False]
0.01s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_add_cartesian_coordinates
0.01s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_to_field_aligned_staggered[True-CELL_YLOW]
0.01s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_to_field_aligned_staggered[False-CELL_YLOW]
0.01s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_from_field_aligned_staggered[False-CELL_XLOW]
0.01s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_to_field_aligned[True-6]
0.01s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_from_field_aligned[8]
0.01s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_from_field_aligned_staggered[False-CELL_ZLOW]
0.01s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_from_field_aligned[False-6]
0.01s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_to_field_aligned_dask[True]
0.01s call     xbout/tests/test_boutdataset.py::TestBoutDatasetIsXarrayDataset::test_isel
0.01s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_from_field_aligned[7]
0.01s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_to_field_aligned_staggered[CELL_ZLOW]
0.01s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_to_field_aligned[7]
0.01s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_to_field_aligned_staggered[False-CELL_XLOW]
0.01s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_to_field_aligned_dask
0.01s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_to_field_aligned_staggered[False-CELL_ZLOW]
0.01s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_from_field_aligned_staggered[False-CELL_YLOW]
0.01s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_to_field_aligned_staggered[True-CELL_XLOW]
0.01s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_from_field_aligned_staggered[CELL_XLOW]
0.01s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_from_field_aligned_staggered[CELL_YLOW]
0.01s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_from_field_aligned_staggered[True-CELL_YLOW]
0.01s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_to_field_aligned[8]
0.01s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_to_field_aligned_staggered[True-CELL_ZLOW]
0.01s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_to_field_aligned[True-7]
0.01s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_from_field_aligned[False-7]
0.01s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_to_field_aligned_dask[False]
0.01s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_to_field_aligned_staggered[CELL_XLOW]
0.01s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_from_field_aligned[9]
0.01s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_from_field_aligned[False-9]
0.01s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_from_field_aligned[True-6]
0.01s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_to_cartesian
0.01s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_to_field_aligned_staggered[CELL_YLOW]
0.01s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_from_field_aligned[6]
0.01s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_to_field_aligned[True-8]
0.01s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_from_field_aligned[False-8]
0.01s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_to_field_aligned[6]
0.01s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_from_field_aligned_staggered[True-CELL_XLOW]
0.01s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_from_field_aligned[True-9]
0.01s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_to_field_aligned[True-9]
0.01s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_from_field_aligned[True-7]
0.01s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_from_field_aligned_staggered[CELL_ZLOW]
0.01s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_to_field_aligned[9]
0.01s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_from_field_aligned[True-8]

(1673 durations < 0.005s hidden.  Use -vv to show these durations.)
=========================== short test summary info ============================
FAILED xbout/tests/test_against_collect.py::TestAccuracyAgainstOldCollect::test_single_file
FAILED xbout/tests/test_against_collect.py::TestAccuracyAgainstOldCollect::test_multiple_files_along_x
FAILED xbout/tests/test_against_collect.py::TestAccuracyAgainstOldCollect::test_multiple_files_along_y
FAILED xbout/tests/test_against_collect.py::TestAccuracyAgainstOldCollect::test_multiple_files_along_xy
FAILED xbout/tests/test_against_collect.py::TestAccuracyAgainstOldCollect::test_metadata
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_to_dataset
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_remove_yboundaries[False-0-0]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_remove_yboundaries[False-0-2]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_remove_yboundaries[False-2-0]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_remove_yboundaries[False-2-2]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_remove_yboundaries[True-0-0]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_remove_yboundaries[True-0-2]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_remove_yboundaries[True-2-0]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_remove_yboundaries[True-2-2]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_to_field_aligned[False-6]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_to_field_aligned[False-7]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_to_field_aligned[False-8]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_to_field_aligned[False-9]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_to_field_aligned[True-6]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_to_field_aligned[True-7]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_to_field_aligned[True-8]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_to_field_aligned[True-9]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_to_field_aligned_dask[False]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_to_field_aligned_dask[True]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_from_field_aligned[False-6]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_from_field_aligned[False-7]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_from_field_aligned[False-8]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_from_field_aligned[False-9]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_from_field_aligned[True-6]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_from_field_aligned[True-7]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_from_field_aligned[True-8]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_from_field_aligned[True-9]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_to_field_aligned_staggered[False-CELL_XLOW]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_to_field_aligned_staggered[False-CELL_YLOW]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_to_field_aligned_staggered[False-CELL_ZLOW]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_to_field_aligned_staggered[True-CELL_XLOW]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_to_field_aligned_staggered[True-CELL_YLOW]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_to_field_aligned_staggered[True-CELL_ZLOW]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_from_field_aligned_staggered[False-CELL_XLOW]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_from_field_aligned_staggered[False-CELL_YLOW]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_from_field_aligned_staggered[False-CELL_ZLOW]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_from_field_aligned_staggered[True-CELL_XLOW]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_from_field_aligned_staggered[True-CELL_YLOW]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_from_field_aligned_staggered[True-CELL_ZLOW]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_interpolate_parallel_region_core
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_interpolate_parallel_region_core_change_n[2]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_interpolate_parallel_region_core_change_n[3]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_interpolate_parallel_region_core_change_n[7]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_interpolate_parallel_region_core_change_n[18]
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_interpolate_parallel_region_sol
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_interpolate_parallel_region_singlenull
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_interpolate_parallel
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_interpolate_parallel_sol
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_interpolate_parallel_toroidal_points
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_interpolate_parallel_toroidal_points_list
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_interpolate_to_cartesian
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_add_cartesian_coordinates
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_ddx
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_ddy
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_ddz
FAILED xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_derivatives_doublenull
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetIsXarrayDataset::test_concat
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetIsXarrayDataset::test_isel
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_get_field_aligned
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_remove_yboundaries[0-0]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_remove_yboundaries[0-2]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_remove_yboundaries[2-0]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_remove_yboundaries[2-2]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_to_field_aligned[6]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_to_field_aligned[7]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_to_field_aligned[8]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_to_field_aligned[9]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_to_field_aligned_dask
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_from_field_aligned[6]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_from_field_aligned[7]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_from_field_aligned[8]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_from_field_aligned[9]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_to_field_aligned_staggered[CELL_XLOW]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_to_field_aligned_staggered[CELL_YLOW]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_to_field_aligned_staggered[CELL_ZLOW]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_from_field_aligned_staggered[CELL_XLOW]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_from_field_aligned_staggered[CELL_YLOW]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_from_field_aligned_staggered[CELL_ZLOW]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-False-False-guards0]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-False-False-guards1]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-False-False-guards2]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-False-False-guards3]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-True-False-guards0]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-True-False-guards1]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-True-False-guards2]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-True-False-guards3]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-False-True-guards0]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-False-True-guards1]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-False-True-guards2]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-False-True-guards3]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-True-True-guards0]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-True-True-guards1]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-True-True-guards2]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-True-True-guards3]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-False-False-guards0]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-False-False-guards1]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-False-False-guards2]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-False-False-guards3]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-True-False-guards0]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-True-False-guards1]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-True-False-guards2]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-True-False-guards3]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-False-True-guards0]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-False-True-guards1]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-False-True-guards2]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-False-True-guards3]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-True-True-guards0]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-True-True-guards1]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-True-True-guards2]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-True-True-guards3]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel_all_variables_arg
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel_limiter
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_integrate_midpoints_slab
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_integrate_midpoints_salpha[CELL_CENTRE]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_integrate_midpoints_salpha[CELL_XLOW]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_integrate_midpoints_salpha[CELL_YLOW]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_integrate_midpoints_salpha[CELL_ZLOW]
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_from_unstructured
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_from_unstructured_unstructured_output
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_to_cartesian
FAILED xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_add_cartesian_coordinates
FAILED xbout/tests/test_boutdataset.py::TestSave::test_save_all - ValueError:...
FAILED xbout/tests/test_boutdataset.py::TestSave::test_reload_all[None] - Val...
FAILED xbout/tests/test_boutdataset.py::TestSave::test_reload_all[toroidal]
FAILED xbout/tests/test_boutdataset.py::TestSave::test_save_dtype[False-float64]
FAILED xbout/tests/test_boutdataset.py::TestSave::test_save_dtype[False-float32]
FAILED xbout/tests/test_boutdataset.py::TestSave::test_save_dtype[True-float64]
FAILED xbout/tests/test_boutdataset.py::TestSave::test_save_dtype[True-float32]
FAILED xbout/tests/test_boutdataset.py::TestSave::test_save_separate_variables
FAILED xbout/tests/test_boutdataset.py::TestSave::test_reload_separate_variables[None]
FAILED xbout/tests/test_boutdataset.py::TestSave::test_reload_separate_variables[toroidal]
FAILED xbout/tests/test_boutdataset.py::TestSave::test_reload_separate_variables_time_split[None]
FAILED xbout/tests/test_boutdataset.py::TestSave::test_reload_separate_variables_time_split[toroidal]
FAILED xbout/tests/test_boutdataset.py::TestSaveRestart::test_to_restart[None]
FAILED xbout/tests/test_boutdataset.py::TestSaveRestart::test_to_restart[1]
FAILED xbout/tests/test_boutdataset.py::TestSaveRestart::test_to_restart_change_npe
FAILED xbout/tests/test_boutdataset.py::TestSaveRestart::test_to_restart_change_npe_doublenull
FAILED xbout/tests/test_boutdataset.py::TestSaveRestart::test_to_restart_change_npe_doublenull_expect_fail[npes0]
FAILED xbout/tests/test_boutdataset.py::TestSaveRestart::test_to_restart_change_npe_doublenull_expect_fail[npes1]
FAILED xbout/tests/test_load.py::TestOpen::test_single_file - ValueError: dim...
FAILED xbout/tests/test_load.py::TestOpen::test_squashed_file - ValueError: d...
FAILED xbout/tests/test_load.py::TestOpen::test_squashed_doublenull[False-False]
FAILED xbout/tests/test_load.py::TestOpen::test_squashed_doublenull[False-True]
FAILED xbout/tests/test_load.py::TestOpen::test_squashed_doublenull[True-False]
FAILED xbout/tests/test_load.py::TestOpen::test_squashed_doublenull[True-True]
FAILED xbout/tests/test_load.py::TestOpen::test_squashed_doublenull_file[False-False]
FAILED xbout/tests/test_load.py::TestOpen::test_squashed_doublenull_file[False-True]
FAILED xbout/tests/test_load.py::TestOpen::test_squashed_doublenull_file[True-False]
FAILED xbout/tests/test_load.py::TestOpen::test_squashed_doublenull_file[True-True]
FAILED xbout/tests/test_load.py::TestOpen::test_combine_along_x - ValueError:...
FAILED xbout/tests/test_load.py::TestOpen::test_combine_along_y - ValueError:...
FAILED xbout/tests/test_load.py::TestOpen::test_combine_along_xy[lengths0-False-False]
FAILED xbout/tests/test_load.py::TestOpen::test_combine_along_xy[lengths0-True-False]
FAILED xbout/tests/test_load.py::TestOpen::test_combine_along_xy[lengths0-True-True]
FAILED xbout/tests/test_load.py::TestOpen::test_toroidal - ValueError: dimens...
FAILED xbout/tests/test_load.py::TestOpen::test_salpha - ValueError: dimensio...
FAILED xbout/tests/test_load.py::TestOpen::test_drop_vars - ValueError: dimen...
FAILED xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-0-False-False-guards0]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-0-False-False-guards1]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-0-False-False-guards2]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-0-False-False-guards3]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-0-True-False-guards0]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-0-True-False-guards1]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-0-True-False-guards2]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-0-True-False-guards3]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-0-False-True-guards0]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-0-False-True-guards1]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-0-False-True-guards2]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-0-False-True-guards3]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-0-True-True-guards0]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-0-True-True-guards1]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-0-True-True-guards2]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-0-True-True-guards3]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-1-False-False-guards0]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-1-False-False-guards1]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-1-False-False-guards2]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-1-False-False-guards3]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-1-True-False-guards0]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-1-True-False-guards1]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-1-True-False-guards2]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-1-True-False-guards3]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-1-False-True-guards0]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-1-False-True-guards1]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-1-False-True-guards2]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-1-False-True-guards3]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-1-True-True-guards0]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-1-True-True-guards1]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-1-True-True-guards2]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-1-True-True-guards3]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-2-False-False-guards0]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-2-False-False-guards1]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-2-False-False-guards2]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-2-False-False-guards3]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-2-True-False-guards0]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-2-True-False-guards1]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-2-True-False-guards2]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-2-True-False-guards3]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-2-False-True-guards0]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-2-False-True-guards1]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-2-False-True-guards2]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-2-False-True-guards3]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-2-True-True-guards0]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-2-True-True-guards1]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-2-True-True-guards2]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-2-True-True-guards3]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-0-False-False-guards0]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-0-False-False-guards1]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-0-False-False-guards2]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-0-False-False-guards3]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-0-True-False-guards0]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-0-True-False-guards1]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-0-True-False-guards2]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-0-True-False-guards3]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-0-False-True-guards0]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-0-False-True-guards1]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-0-False-True-guards2]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-0-False-True-guards3]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-0-True-True-guards0]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-0-True-True-guards1]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-0-True-True-guards2]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-0-True-True-guards3]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-1-False-False-guards0]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-1-False-False-guards1]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-1-False-False-guards2]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-1-False-False-guards3]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-1-True-False-guards0]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-1-True-False-guards1]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-1-True-False-guards2]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-1-True-False-guards3]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-1-False-True-guards0]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-1-False-True-guards1]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-1-False-True-guards2]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-1-False-True-guards3]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-1-True-True-guards0]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-1-True-True-guards1]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-1-True-True-guards2]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-1-True-True-guards3]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-2-False-False-guards0]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-2-False-False-guards1]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-2-False-False-guards2]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-2-False-False-guards3]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-2-True-False-guards0]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-2-True-False-guards1]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-2-True-False-guards2]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-2-True-False-guards3]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-2-False-True-guards0]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-2-False-True-guards1]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-2-False-True-guards2]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-2-False-True-guards3]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-2-True-True-guards0]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-2-True-True-guards1]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-2-True-True-guards2]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-2-True-True-guards3]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_limiter[0-False-False-guards0]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_limiter[0-False-False-guards1]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_limiter[0-False-False-guards2]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_limiter[0-False-False-guards3]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_limiter[0-True-False-guards0]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_limiter[0-True-False-guards1]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_limiter[0-True-False-guards2]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_limiter[0-True-False-guards3]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_limiter[0-False-True-guards0]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_limiter[0-False-True-guards1]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_limiter[0-False-True-guards2]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_limiter[0-False-True-guards3]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_limiter[0-True-True-guards0]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_limiter[0-True-True-guards1]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_limiter[0-True-True-guards2]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_limiter[0-True-True-guards3]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_limiter[1-False-False-guards0]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_limiter[1-False-False-guards1]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_limiter[1-False-False-guards2]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_limiter[1-False-False-guards3]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_limiter[1-True-False-guards0]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_limiter[1-True-False-guards1]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_limiter[1-True-False-guards2]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_limiter[1-True-False-guards3]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_limiter[1-False-True-guards0]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_limiter[1-False-True-guards1]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_limiter[1-False-True-guards2]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_limiter[1-False-True-guards3]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_limiter[1-True-True-guards0]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_limiter[1-True-True-guards1]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_limiter[1-True-True-guards2]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_limiter[1-True-True-guards3]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_limiter[2-False-False-guards0]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_limiter[2-False-False-guards1]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_limiter[2-False-False-guards2]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_limiter[2-False-False-guards3]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_limiter[2-True-False-guards0]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_limiter[2-True-False-guards1]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_limiter[2-True-False-guards2]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_limiter[2-True-False-guards3]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_limiter[2-False-True-guards0]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_limiter[2-False-True-guards1]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_limiter[2-False-True-guards2]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_limiter[2-False-True-guards3]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_limiter[2-True-True-guards0]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_limiter[2-True-True-guards1]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_limiter[2-True-True-guards2]
FAILED xbout/tests/test_plot.py::TestPlot::test_region_limiter[2-True-True-guards3]
FAILED xbout/tests/test_region.py::TestRegion::test_region_core[False-False-guards0]
FAILED xbout/tests/test_region.py::TestRegion::test_region_core[False-False-guards1]
FAILED xbout/tests/test_region.py::TestRegion::test_region_core[False-False-guards2]
FAILED xbout/tests/test_region.py::TestRegion::test_region_core[False-False-guards3]
FAILED xbout/tests/test_region.py::TestRegion::test_region_core[True-False-guards0]
FAILED xbout/tests/test_region.py::TestRegion::test_region_core[True-False-guards1]
FAILED xbout/tests/test_region.py::TestRegion::test_region_core[True-False-guards2]
FAILED xbout/tests/test_region.py::TestRegion::test_region_core[True-False-guards3]
FAILED xbout/tests/test_region.py::TestRegion::test_region_core[False-True-guards0]
FAILED xbout/tests/test_region.py::TestRegion::test_region_core[False-True-guards1]
FAILED xbout/tests/test_region.py::TestRegion::test_region_core[False-True-guards2]
FAILED xbout/tests/test_region.py::TestRegion::test_region_core[False-True-guards3]
FAILED xbout/tests/test_region.py::TestRegion::test_region_core[True-True-guards0]
FAILED xbout/tests/test_region.py::TestRegion::test_region_core[True-True-guards1]
FAILED xbout/tests/test_region.py::TestRegion::test_region_core[True-True-guards2]
FAILED xbout/tests/test_region.py::TestRegion::test_region_core[True-True-guards3]
FAILED xbout/tests/test_region.py::TestRegion::test_region_sol[False-False-guards0]
FAILED xbout/tests/test_region.py::TestRegion::test_region_sol[False-False-guards1]
FAILED xbout/tests/test_region.py::TestRegion::test_region_sol[False-False-guards2]
FAILED xbout/tests/test_region.py::TestRegion::test_region_sol[False-False-guards3]
FAILED xbout/tests/test_region.py::TestRegion::test_region_sol[True-False-guards0]
FAILED xbout/tests/test_region.py::TestRegion::test_region_sol[True-False-guards1]
FAILED xbout/tests/test_region.py::TestRegion::test_region_sol[True-False-guards2]
FAILED xbout/tests/test_region.py::TestRegion::test_region_sol[True-False-guards3]
FAILED xbout/tests/test_region.py::TestRegion::test_region_sol[False-True-guards0]
FAILED xbout/tests/test_region.py::TestRegion::test_region_sol[False-True-guards1]
FAILED xbout/tests/test_region.py::TestRegion::test_region_sol[False-True-guards2]
FAILED xbout/tests/test_region.py::TestRegion::test_region_sol[False-True-guards3]
FAILED xbout/tests/test_region.py::TestRegion::test_region_sol[True-True-guards0]
FAILED xbout/tests/test_region.py::TestRegion::test_region_sol[True-True-guards1]
FAILED xbout/tests/test_region.py::TestRegion::test_region_sol[True-True-guards2]
FAILED xbout/tests/test_region.py::TestRegion::test_region_sol[True-True-guards3]
FAILED xbout/tests/test_region.py::TestRegion::test_region_limiter[0-False-False-guards0]
FAILED xbout/tests/test_region.py::TestRegion::test_region_limiter[0-False-False-guards1]
FAILED xbout/tests/test_region.py::TestRegion::test_region_limiter[0-False-False-guards2]
FAILED xbout/tests/test_region.py::TestRegion::test_region_limiter[0-False-False-guards3]
FAILED xbout/tests/test_region.py::TestRegion::test_region_limiter[0-True-False-guards0]
FAILED xbout/tests/test_region.py::TestRegion::test_region_limiter[0-True-False-guards1]
FAILED xbout/tests/test_region.py::TestRegion::test_region_limiter[0-True-False-guards2]
FAILED xbout/tests/test_region.py::TestRegion::test_region_limiter[0-True-False-guards3]
FAILED xbout/tests/test_region.py::TestRegion::test_region_limiter[0-False-True-guards0]
FAILED xbout/tests/test_region.py::TestRegion::test_region_limiter[0-False-True-guards1]
FAILED xbout/tests/test_region.py::TestRegion::test_region_limiter[0-False-True-guards2]
FAILED xbout/tests/test_region.py::TestRegion::test_region_limiter[0-False-True-guards3]
FAILED xbout/tests/test_region.py::TestRegion::test_region_limiter[0-True-True-guards0]
FAILED xbout/tests/test_region.py::TestRegion::test_region_limiter[0-True-True-guards1]
FAILED xbout/tests/test_region.py::TestRegion::test_region_limiter[0-True-True-guards2]
FAILED xbout/tests/test_region.py::TestRegion::test_region_limiter[0-True-True-guards3]
FAILED xbout/tests/test_region.py::TestRegion::test_region_limiter[1-False-False-guards0]
FAILED xbout/tests/test_region.py::TestRegion::test_region_limiter[1-False-False-guards1]
FAILED xbout/tests/test_region.py::TestRegion::test_region_limiter[1-False-False-guards2]
FAILED xbout/tests/test_region.py::TestRegion::test_region_limiter[1-False-False-guards3]
FAILED xbout/tests/test_region.py::TestRegion::test_region_limiter[1-True-False-guards0]
FAILED xbout/tests/test_region.py::TestRegion::test_region_limiter[1-True-False-guards1]
FAILED xbout/tests/test_region.py::TestRegion::test_region_limiter[1-True-False-guards2]
FAILED xbout/tests/test_region.py::TestRegion::test_region_limiter[1-True-False-guards3]
FAILED xbout/tests/test_region.py::TestRegion::test_region_limiter[1-False-True-guards0]
FAILED xbout/tests/test_region.py::TestRegion::test_region_limiter[1-False-True-guards1]
FAILED xbout/tests/test_region.py::TestRegion::test_region_limiter[1-False-True-guards2]
FAILED xbout/tests/test_region.py::TestRegion::test_region_limiter[1-False-True-guards3]
FAILED xbout/tests/test_region.py::TestRegion::test_region_limiter[1-True-True-guards0]
FAILED xbout/tests/test_region.py::TestRegion::test_region_limiter[1-True-True-guards1]
FAILED xbout/tests/test_region.py::TestRegion::test_region_limiter[1-True-True-guards2]
FAILED xbout/tests/test_region.py::TestRegion::test_region_limiter[1-True-True-guards3]
FAILED xbout/tests/test_region.py::TestRegion::test_region_xpoint[False-False-guards0]
FAILED xbout/tests/test_region.py::TestRegion::test_region_xpoint[False-False-guards1]
FAILED xbout/tests/test_region.py::TestRegion::test_region_xpoint[False-False-guards2]
FAILED xbout/tests/test_region.py::TestRegion::test_region_xpoint[False-False-guards3]
FAILED xbout/tests/test_region.py::TestRegion::test_region_xpoint[True-False-guards0]
FAILED xbout/tests/test_region.py::TestRegion::test_region_xpoint[True-False-guards1]
FAILED xbout/tests/test_region.py::TestRegion::test_region_xpoint[True-False-guards2]
FAILED xbout/tests/test_region.py::TestRegion::test_region_xpoint[True-False-guards3]
FAILED xbout/tests/test_region.py::TestRegion::test_region_xpoint[False-True-guards0]
FAILED xbout/tests/test_region.py::TestRegion::test_region_xpoint[False-True-guards1]
FAILED xbout/tests/test_region.py::TestRegion::test_region_xpoint[False-True-guards2]
FAILED xbout/tests/test_region.py::TestRegion::test_region_xpoint[False-True-guards3]
FAILED xbout/tests/test_region.py::TestRegion::test_region_xpoint[True-True-guards0]
FAILED xbout/tests/test_region.py::TestRegion::test_region_xpoint[True-True-guards1]
FAILED xbout/tests/test_region.py::TestRegion::test_region_xpoint[True-True-guards2]
FAILED xbout/tests/test_region.py::TestRegion::test_region_xpoint[True-True-guards3]
FAILED xbout/tests/test_region.py::TestRegion::test_region_singlenull[False-False-guards0]
FAILED xbout/tests/test_region.py::TestRegion::test_region_singlenull[False-False-guards1]
FAILED xbout/tests/test_region.py::TestRegion::test_region_singlenull[False-False-guards2]
FAILED xbout/tests/test_region.py::TestRegion::test_region_singlenull[False-False-guards3]
FAILED xbout/tests/test_region.py::TestRegion::test_region_singlenull[True-False-guards0]
FAILED xbout/tests/test_region.py::TestRegion::test_region_singlenull[True-False-guards1]
FAILED xbout/tests/test_region.py::TestRegion::test_region_singlenull[True-False-guards2]
FAILED xbout/tests/test_region.py::TestRegion::test_region_singlenull[True-False-guards3]
FAILED xbout/tests/test_region.py::TestRegion::test_region_singlenull[False-True-guards0]
FAILED xbout/tests/test_region.py::TestRegion::test_region_singlenull[False-True-guards1]
FAILED xbout/tests/test_region.py::TestRegion::test_region_singlenull[False-True-guards2]
FAILED xbout/tests/test_region.py::TestRegion::test_region_singlenull[False-True-guards3]
FAILED xbout/tests/test_region.py::TestRegion::test_region_singlenull[True-True-guards0]
FAILED xbout/tests/test_region.py::TestRegion::test_region_singlenull[True-True-guards1]
FAILED xbout/tests/test_region.py::TestRegion::test_region_singlenull[True-True-guards2]
FAILED xbout/tests/test_region.py::TestRegion::test_region_singlenull[True-True-guards3]
FAILED xbout/tests/test_region.py::TestRegion::test_region_connecteddoublenull[False-False-guards0]
FAILED xbout/tests/test_region.py::TestRegion::test_region_connecteddoublenull[False-False-guards1]
FAILED xbout/tests/test_region.py::TestRegion::test_region_connecteddoublenull[False-False-guards2]
FAILED xbout/tests/test_region.py::TestRegion::test_region_connecteddoublenull[False-False-guards3]
FAILED xbout/tests/test_region.py::TestRegion::test_region_connecteddoublenull[True-False-guards0]
FAILED xbout/tests/test_region.py::TestRegion::test_region_connecteddoublenull[True-False-guards1]
FAILED xbout/tests/test_region.py::TestRegion::test_region_connecteddoublenull[True-False-guards2]
FAILED xbout/tests/test_region.py::TestRegion::test_region_connecteddoublenull[True-False-guards3]
FAILED xbout/tests/test_region.py::TestRegion::test_region_connecteddoublenull[False-True-guards0]
FAILED xbout/tests/test_region.py::TestRegion::test_region_connecteddoublenull[False-True-guards1]
FAILED xbout/tests/test_region.py::TestRegion::test_region_connecteddoublenull[False-True-guards2]
FAILED xbout/tests/test_region.py::TestRegion::test_region_connecteddoublenull[False-True-guards3]
FAILED xbout/tests/test_region.py::TestRegion::test_region_connecteddoublenull[True-True-guards0]
FAILED xbout/tests/test_region.py::TestRegion::test_region_connecteddoublenull[True-True-guards1]
FAILED xbout/tests/test_region.py::TestRegion::test_region_connecteddoublenull[True-True-guards2]
FAILED xbout/tests/test_region.py::TestRegion::test_region_connecteddoublenull[True-True-guards3]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[lower-disconnected-double-null-False-False-guards0]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[lower-disconnected-double-null-False-False-guards1]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[lower-disconnected-double-null-False-False-guards2]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[lower-disconnected-double-null-False-False-guards3]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[lower-disconnected-double-null-True-False-guards0]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[lower-disconnected-double-null-True-False-guards1]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[lower-disconnected-double-null-True-False-guards2]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[lower-disconnected-double-null-True-False-guards3]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[lower-disconnected-double-null-False-True-guards0]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[lower-disconnected-double-null-False-True-guards1]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[lower-disconnected-double-null-False-True-guards2]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[lower-disconnected-double-null-False-True-guards3]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[lower-disconnected-double-null-True-True-guards0]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[lower-disconnected-double-null-True-True-guards1]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[lower-disconnected-double-null-True-True-guards2]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[lower-disconnected-double-null-True-True-guards3]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[upper-disconnected-double-null-False-False-guards0]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[upper-disconnected-double-null-False-False-guards1]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[upper-disconnected-double-null-False-False-guards2]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[upper-disconnected-double-null-False-False-guards3]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[upper-disconnected-double-null-True-False-guards0]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[upper-disconnected-double-null-True-False-guards1]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[upper-disconnected-double-null-True-False-guards2]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[upper-disconnected-double-null-True-False-guards3]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[upper-disconnected-double-null-False-True-guards0]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[upper-disconnected-double-null-False-True-guards1]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[upper-disconnected-double-null-False-True-guards2]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[upper-disconnected-double-null-False-True-guards3]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[upper-disconnected-double-null-True-True-guards0]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[upper-disconnected-double-null-True-True-guards1]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[upper-disconnected-double-null-True-True-guards2]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[upper-disconnected-double-null-True-True-guards3]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-False-False-guards0]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-False-False-guards1]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-False-False-guards2]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-False-False-guards3]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-True-False-guards0]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-True-False-guards1]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-True-False-guards2]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-True-False-guards3]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-False-True-guards0]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-False-True-guards1]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-False-True-guards2]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-False-True-guards3]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-True-True-guards0]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-True-True-guards1]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-True-True-guards2]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-True-True-guards3]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-False-False-guards0]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-False-False-guards1]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-False-False-guards2]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-False-False-guards3]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-True-False-guards0]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-True-False-guards1]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-True-False-guards2]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-True-False-guards3]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-False-True-guards0]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-False-True-guards1]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-False-True-guards2]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-False-True-guards3]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-True-True-guards0]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-True-True-guards1]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-True-True-guards2]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-True-True-guards3]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-False-False-guards0]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-False-False-guards1]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-False-False-guards2]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-False-False-guards3]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-True-False-guards0]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-True-False-guards1]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-True-False-guards2]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-True-False-guards3]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-False-True-guards0]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-False-True-guards1]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-False-True-guards2]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-False-True-guards3]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-True-True-guards0]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-True-True-guards1]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-True-True-guards2]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-True-True-guards3]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-False-False-guards0]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-False-False-guards1]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-False-False-guards2]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-False-False-guards3]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-True-False-guards0]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-True-False-guards1]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-True-False-guards2]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-True-False-guards3]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-False-True-guards0]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-False-True-guards1]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-False-True-guards2]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-False-True-guards3]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-True-True-guards0]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-True-True-guards1]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-True-True-guards2]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-True-True-guards3]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-False-False-guards0]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-False-False-guards1]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-False-False-guards2]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-False-False-guards3]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-True-False-guards0]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-True-False-guards1]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-True-False-guards2]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-True-False-guards3]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-False-True-guards0]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-False-True-guards1]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-False-True-guards2]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-False-True-guards3]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-True-True-guards0]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-True-True-guards1]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-True-True-guards2]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-True-True-guards3]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-False-False-guards0]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-False-False-guards1]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-False-False-guards2]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-False-False-guards3]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-True-False-guards0]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-True-False-guards1]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-True-False-guards2]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-True-False-guards3]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-False-True-guards0]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-False-True-guards1]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-False-True-guards2]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-False-True-guards3]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-True-True-guards0]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-True-True-guards1]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-True-True-guards2]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-True-True-guards3]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-False-False-guards0]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-False-False-guards1]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-False-False-guards2]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-False-False-guards3]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-True-False-guards0]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-True-False-guards1]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-True-False-guards2]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-True-False-guards3]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-False-True-guards0]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-False-True-guards1]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-False-True-guards2]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-False-True-guards3]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-True-True-guards0]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-True-True-guards1]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-True-True-guards2]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-True-True-guards3]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-False-False-guards0]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-False-False-guards1]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-False-False-guards2]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-False-False-guards3]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-True-False-guards0]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-True-False-guards1]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-True-False-guards2]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-True-False-guards3]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-False-True-guards0]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-False-True-guards1]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-False-True-guards2]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-False-True-guards3]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-True-True-guards0]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-True-True-guards1]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-True-True-guards2]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-True-True-guards3]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-False-False-guards0]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-False-False-guards1]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-False-False-guards2]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-False-False-guards3]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-True-False-guards0]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-True-False-guards1]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-True-False-guards2]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-True-False-guards3]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-False-True-guards0]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-False-True-guards1]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-False-True-guards2]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-False-True-guards3]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-True-True-guards0]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-True-True-guards1]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-True-True-guards2]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-True-True-guards3]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-False-False-guards0]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-False-False-guards1]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-False-False-guards2]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-False-False-guards3]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-True-False-guards0]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-True-False-guards1]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-True-False-guards2]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-True-False-guards3]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-False-True-guards0]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-False-True-guards1]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-False-True-guards2]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-False-True-guards3]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-True-True-guards0]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-True-True-guards1]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-True-True-guards2]
FAILED xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-True-True-guards3]
ERROR xbout/tests/test_animate.py::TestAnimate::test_animate2D - ValueError: ...
ERROR xbout/tests/test_animate.py::TestAnimate::test_animate2D_controls_arg[controls0]
ERROR xbout/tests/test_animate.py::TestAnimate::test_animate2D_controls_arg[controls1]
ERROR xbout/tests/test_animate.py::TestAnimate::test_animate2D_controls_arg[controls2]
ERROR xbout/tests/test_animate.py::TestAnimate::test_animate2D_controls_arg[controls3]
ERROR xbout/tests/test_animate.py::TestAnimate::test_animate2D_controls_arg[controls4]
ERROR xbout/tests/test_animate.py::TestAnimate::test_animate2D_controls_arg[controls5]
ERROR xbout/tests/test_animate.py::TestAnimate::test_animate1D - ValueError: ...
ERROR xbout/tests/test_animate.py::TestAnimate::test_animate1D_controls_arg[controls0]
ERROR xbout/tests/test_animate.py::TestAnimate::test_animate1D_controls_arg[controls1]
ERROR xbout/tests/test_animate.py::TestAnimate::test_animate1D_controls_arg[controls2]
ERROR xbout/tests/test_animate.py::TestAnimate::test_animate1D_controls_arg[controls3]
ERROR xbout/tests/test_animate.py::TestAnimate::test_animate1D_controls_arg[controls4]
ERROR xbout/tests/test_animate.py::TestAnimate::test_animate1D_controls_arg[controls5]
ERROR xbout/tests/test_animate.py::TestAnimate::test_animate_list - ValueErro...
ERROR xbout/tests/test_animate.py::TestAnimate::test_animate_list_1d_default
ERROR xbout/tests/test_animate.py::TestAnimate::test_animate_list_1d_multiline
ERROR xbout/tests/test_animate.py::TestAnimate::test_animate_list_animate_over
ERROR xbout/tests/test_animate.py::TestAnimate::test_animate_list_save_as - V...
ERROR xbout/tests/test_animate.py::TestAnimate::test_animate_list_fps - Value...
ERROR xbout/tests/test_animate.py::TestAnimate::test_animate_list_nrows - Val...
ERROR xbout/tests/test_animate.py::TestAnimate::test_animate_list_ncols - Val...
ERROR xbout/tests/test_animate.py::TestAnimate::test_animate_list_not_enough_nrowsncols
ERROR xbout/tests/test_animate.py::TestAnimate::test_animate_list_subplots_adjust
ERROR xbout/tests/test_animate.py::TestAnimate::test_animate_list_vmin - Valu...
ERROR xbout/tests/test_animate.py::TestAnimate::test_animate_list_vmin_list
ERROR xbout/tests/test_animate.py::TestAnimate::test_animate_list_vmax - Valu...
ERROR xbout/tests/test_animate.py::TestAnimate::test_animate_list_vmax_list
ERROR xbout/tests/test_animate.py::TestAnimate::test_animate_list_logscale - ...
ERROR xbout/tests/test_animate.py::TestAnimate::test_animate_list_logscale_float
ERROR xbout/tests/test_animate.py::TestAnimate::test_animate_list_logscale_list
ERROR xbout/tests/test_animate.py::TestAnimate::test_animate_list_titles_list
ERROR xbout/tests/test_animate.py::TestAnimate::test_animate_list_controls_arg[controls0]
ERROR xbout/tests/test_animate.py::TestAnimate::test_animate_list_controls_arg[controls1]
ERROR xbout/tests/test_animate.py::TestAnimate::test_animate_list_controls_arg[controls2]
ERROR xbout/tests/test_animate.py::TestAnimate::test_animate_list_controls_arg[controls3]
ERROR xbout/tests/test_animate.py::TestAnimate::test_animate_list_controls_arg[controls4]
ERROR xbout/tests/test_animate.py::TestAnimate::test_animate_list_controls_arg[controls5]
= 610 failed, 143 passed, 5 skipped, 1716 warnings, 38 errors in 161.62s (0:02:41) =
error: Bad exit status from /var/tmp/rpm-tmp.avxjnc (%check)
    Bad exit status from /var/tmp/rpm-tmp.avxjnc (%check)

RPM build errors:
Finish: rpmbuild python-xbout-0.3.6-6.fc43.src.rpm
Finish: build phase for python-xbout-0.3.6-6.fc43.src.rpm
INFO: chroot_scan: 1 files copied to /var/lib/copr-rpmbuild/results/chroot_scan
INFO: /var/lib/mock/fedora-43-x86_64-1756533364.707914/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
ERROR: Exception(/var/lib/copr-rpmbuild/results/python-xbout-0.3.6-6.fc43.src.rpm) Config(fedora-43-x86_64) 3 minutes 10 seconds
INFO: Results and/or logs in: /var/lib/copr-rpmbuild/results
INFO: Cleaning up build root ('cleanup_on_failure=True')
Start: clean chroot
INFO: unmounting tmpfs.
Finish: clean chroot
ERROR: Command failed: 
 # /usr/bin/systemd-nspawn -q -M 331be2fd1d13442b86bfdcfd489f1426 -D /var/lib/mock/fedora-43-x86_64-1756533364.707914/root -a -u mockbuild --capability=cap_ipc_lock --rlimit=RLIMIT_NOFILE=10240 --capability=cap_ipc_lock --bind=/tmp/mock-resolv.s7m7mb5g:/etc/resolv.conf --bind=/dev/btrfs-control --bind=/dev/mapper/control --bind=/dev/fuse --bind=/dev/loop-control --bind=/dev/loop0 --bind=/dev/loop1 --bind=/dev/loop2 --bind=/dev/loop3 --bind=/dev/loop4 --bind=/dev/loop5 --bind=/dev/loop6 --bind=/dev/loop7 --bind=/dev/loop8 --bind=/dev/loop9 --bind=/dev/loop10 --bind=/dev/loop11 --console=pipe --setenv=TERM=vt100 --setenv=SHELL=/bin/bash --setenv=HOME=/builddir --setenv=HOSTNAME=mock --setenv=PATH=/usr/bin:/bin:/usr/sbin:/sbin '--setenv=PROMPT_COMMAND=printf "\033]0;<mock-chroot>\007"' '--setenv=PS1=<mock-chroot> \s-\v\$ ' --setenv=LANG=C.UTF-8 --resolv-conf=off bash --login -c '/usr/bin/rpmbuild -ba --noprep  --target x86_64 /builddir/build/originals/python-xbout.spec'

Copr build error: Build failed