Warning: Permanently added '34.229.47.82' (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/8962239-fedora-rawhide-x86_64 --chroot fedora-rawhide-x86_64


Version: 1.3
PID: 43935
Logging PID: 43936
Task:
{'allow_user_ssh': False,
 'appstream': False,
 'background': True,
 'build_id': 8962239,
 'buildroot_pkgs': [],
 'chroot': 'fedora-rawhide-x86_64',
 'enable_net': False,
 'fedora_review': False,
 'git_hash': 'fd87dd2cf5a83ba609cdb42dd8eaafecb2b352a1',
 'git_repo': 'https://copr-dist-git.fedorainfracloud.org/git/thrnciar/setuptools-78.1.1/python-xbout',
 'isolation': 'default',
 'memory_reqs': 2048,
 'package_name': 'python-xbout',
 'package_version': '0.3.6-5',
 'project_dirname': 'setuptools-78.1.1',
 'project_name': 'setuptools-78.1.1',
 'project_owner': 'thrnciar',
 'repo_priority': None,
 'repos': [{'baseurl': 'https://download.copr.fedorainfracloud.org/results/thrnciar/setuptools-78.1.1/fedora-rawhide-x86_64/',
            'id': 'copr_base',
            'name': 'Copr repository',
            'priority': None}],
 'sandbox': 'thrnciar/setuptools-78.1.1--thrnciar',
 'source_json': {},
 'source_type': None,
 'ssh_public_keys': None,
 'storage': 0,
 'submitter': 'thrnciar',
 'tags': [],
 'task_id': '8962239-fedora-rawhide-x86_64',
 'timeout': 18000,
 'uses_devel_repo': False,
 'with_opts': [],
 'without_opts': []}

Running: git clone https://copr-dist-git.fedorainfracloud.org/git/thrnciar/setuptools-78.1.1/python-xbout /var/lib/copr-rpmbuild/workspace/workdir-9b3_x20d/python-xbout --depth 500 --no-single-branch --recursive

cmd: ['git', 'clone', 'https://copr-dist-git.fedorainfracloud.org/git/thrnciar/setuptools-78.1.1/python-xbout', '/var/lib/copr-rpmbuild/workspace/workdir-9b3_x20d/python-xbout', '--depth', '500', '--no-single-branch', '--recursive']
cwd: .
rc: 0
stdout: 
stderr: Cloning into '/var/lib/copr-rpmbuild/workspace/workdir-9b3_x20d/python-xbout'...

Running: git checkout fd87dd2cf5a83ba609cdb42dd8eaafecb2b352a1 --

cmd: ['git', 'checkout', 'fd87dd2cf5a83ba609cdb42dd8eaafecb2b352a1', '--']
cwd: /var/lib/copr-rpmbuild/workspace/workdir-9b3_x20d/python-xbout
rc: 0
stdout: 
stderr: Note: switching to 'fd87dd2cf5a83ba609cdb42dd8eaafecb2b352a1'.

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 fd87dd2 automatic import of python-xbout

Running: dist-git-client sources

cmd: ['dist-git-client', 'sources']
cwd: /var/lib/copr-rpmbuild/workspace/workdir-9b3_x20d/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/thrnciar/setuptools-78.1.1/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  17.2M      0 --:--:-- --:--:-- --:--:-- 17.2M
INFO: Reading stdout from command: md5sum xbout-0.3.6.tar.gz

/usr/bin/tail: /var/lib/copr-rpmbuild/main.log: file truncated
Running (timeout=18000): unbuffer mock --spec /var/lib/copr-rpmbuild/workspace/workdir-9b3_x20d/python-xbout/python-xbout.spec --sources /var/lib/copr-rpmbuild/workspace/workdir-9b3_x20d/python-xbout --resultdir /var/lib/copr-rpmbuild/results --uniqueext 1745510928.265359 -r /var/lib/copr-rpmbuild/results/configs/child.cfg
INFO: mock.py version 6.1 starting (python version = 3.13.0, NVR = mock-6.1-1.fc41), args: /usr/libexec/mock/mock --spec /var/lib/copr-rpmbuild/workspace/workdir-9b3_x20d/python-xbout/python-xbout.spec --sources /var/lib/copr-rpmbuild/workspace/workdir-9b3_x20d/python-xbout --resultdir /var/lib/copr-rpmbuild/results --uniqueext 1745510928.265359 -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-9b3_x20d/python-xbout/python-xbout.spec)  Config(fedora-rawhide-x86_64)
Start: clean chroot
Finish: clean chroot
Mock Version: 6.1
INFO: Mock Version: 6.1
Start(bootstrap): chroot init
INFO: mounting tmpfs at /var/lib/mock/fedora-rawhide-x86_64-bootstrap-1745510928.265359/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:rawhide
INFO: Pulling image: registry.fedoraproject.org/fedora:rawhide
INFO: Tagging container image as mock-bootstrap-221f5c07-197e-4cb9-bccf-106c21a3c7ae
INFO: Checking that 9a1106aecd437d71a43aaa67cc56c9c0c84bc71077d20aeceb796a07dda8d0f5 image matches host's architecture
INFO: Copy content of container 9a1106aecd437d71a43aaa67cc56c9c0c84bc71077d20aeceb796a07dda8d0f5 to /var/lib/mock/fedora-rawhide-x86_64-bootstrap-1745510928.265359/root
INFO: mounting 9a1106aecd437d71a43aaa67cc56c9c0c84bc71077d20aeceb796a07dda8d0f5 with podman image mount
INFO: image 9a1106aecd437d71a43aaa67cc56c9c0c84bc71077d20aeceb796a07dda8d0f5 as /var/lib/containers/storage/overlay/ddf1929577480a092fb3f165c37ab3b746c8e601a68f8e2827267a2c1cfb3acb/merged
INFO: umounting image 9a1106aecd437d71a43aaa67cc56c9c0c84bc71077d20aeceb796a07dda8d0f5 (/var/lib/containers/storage/overlay/ddf1929577480a092fb3f165c37ab3b746c8e601a68f8e2827267a2c1cfb3acb/merged) with podman image umount
INFO: Removing image mock-bootstrap-221f5c07-197e-4cb9-bccf-106c21a3c7ae
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-rawhide-x86_64-1745510928.265359/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-5.99.90-3.fc43.x86_64
  rpm-sequoia-1.8.0-1.fc43.x86_64
  dnf5-5.2.13.0-1.fc43.x86_64
  dnf5-plugins-5.2.13.0-1.fc43.x86_64
Start: installing minimal buildroot with dnf5
Updating and loading repositories:
 fedora                                 100% | 189.9 KiB/s |  11.6 KiB |  00m00s
 Copr repository                        100% |  66.8 KiB/s |   1.5 KiB |  00m00s
 Copr repository                        100% |  60.5 MiB/s |   4.1 MiB |  00m00s
Repositories loaded.
Package                            Arch   Version                    Repository      Size
Installing group/module packages:
 bash                              x86_64 5.2.37-3.fc43              fedora       8.2 MiB
 bzip2                             x86_64 1.0.8-20.fc42              fedora      99.3 KiB
 coreutils                         x86_64 9.7-1.fc43                 fedora       5.4 MiB
 cpio                              x86_64 2.15-2.fc41                fedora       1.1 MiB
 diffutils                         x86_64 3.12-1.fc43                fedora       1.6 MiB
 fedora-release-common             noarch 43-0.15                    fedora      20.4 KiB
 findutils                         x86_64 1:4.10.0-5.fc42            fedora       1.9 MiB
 gawk                              x86_64 5.3.2-1.fc43               fedora       1.8 MiB
 glibc-minimal-langpack            x86_64 2.41.9000-10.fc43          fedora       0.0   B
 grep                              x86_64 3.12-1.fc43                fedora       1.0 MiB
 gzip                              x86_64 1.13-3.fc42                fedora     392.9 KiB
 info                              x86_64 7.2-3.fc42                 fedora     357.9 KiB
 patch                             x86_64 2.8-1.fc43                 fedora     226.8 KiB
 redhat-rpm-config                 noarch 343-4.fc43                 fedora     185.6 KiB
 rpm-build                         x86_64 5.99.90-3.fc43             fedora     269.5 KiB
 sed                               x86_64 4.9-4.fc42                 fedora     857.3 KiB
 shadow-utils                      x86_64 2:4.17.4-1.fc43            fedora       4.0 MiB
 tar                               x86_64 2:1.35-5.fc42              fedora       3.0 MiB
 unzip                             x86_64 6.0-66.fc42                fedora     390.3 KiB
 util-linux                        x86_64 2.40.4-7.fc43              fedora       3.4 MiB
 which                             x86_64 2.23-1.fc42                fedora      83.4 KiB
 xz                                x86_64 1:5.8.1-1.fc43             fedora       1.3 MiB
Installing dependencies:
 add-determinism                   x86_64 0.6.0-1.fc43               fedora       2.5 MiB
 alternatives                      x86_64 1.32-1.fc43                fedora      62.2 KiB
 ansible-srpm-macros               noarch 1-17.1.fc42                fedora      35.7 KiB
 audit-libs                        x86_64 4.0.3-2.fc42               fedora     351.3 KiB
 binutils                          x86_64 2.44-3.fc43                fedora      25.9 MiB
 build-reproducibility-srpm-macros noarch 0.6.0-1.fc43               fedora     735.0   B
 bzip2-libs                        x86_64 1.0.8-20.fc42              fedora      84.6 KiB
 ca-certificates                   noarch 2024.2.69_v8.0.401-5.fc42  fedora       2.6 MiB
 coreutils-common                  x86_64 9.7-1.fc43                 fedora      11.3 MiB
 crypto-policies                   noarch 20250402-2.git86c0178.fc43 fedora     141.5 KiB
 curl                              x86_64 8.13.0-1.fc43              copr_base  461.0 KiB
 cyrus-sasl-lib                    x86_64 2.1.28-30.fc42             fedora       2.3 MiB
 debugedit                         x86_64 5.1-6.fc43                 fedora     192.7 KiB
 dwz                               x86_64 0.15-9.fc42                fedora     291.0 KiB
 ed                                x86_64 1.21-2.fc42                fedora     146.5 KiB
 efi-srpm-macros                   noarch 6-3.fc43                   fedora      40.1 KiB
 elfutils                          x86_64 0.192-8.fc42               fedora       2.7 MiB
 elfutils-debuginfod-client        x86_64 0.192-8.fc42               fedora      83.9 KiB
 elfutils-default-yama-scope       noarch 0.192-8.fc42               fedora       1.8 KiB
 elfutils-libelf                   x86_64 0.192-8.fc42               fedora       1.2 MiB
 elfutils-libs                     x86_64 0.192-8.fc42               fedora     675.0 KiB
 fedora-gpg-keys                   noarch 43-0.1                     fedora     128.2 KiB
 fedora-release                    noarch 43-0.15                    fedora       0.0   B
 fedora-release-identity-basic     noarch 43-0.15                    fedora     664.0   B
 fedora-repos                      noarch 43-0.1                     fedora       4.9 KiB
 fedora-repos-rawhide              noarch 43-0.1                     fedora       2.2 KiB
 file                              x86_64 5.46-1.fc43                copr_base  100.2 KiB
 file-libs                         x86_64 5.46-1.fc43                copr_base   11.9 MiB
 filesystem                        x86_64 3.18-40.fc43               fedora     112.0   B
 filesystem-srpm-macros            noarch 3.18-40.fc43               fedora      38.2 KiB
 fonts-srpm-macros                 noarch 1:2.0.5-21.fc42            fedora      55.8 KiB
 forge-srpm-macros                 noarch 0.4.0-2.fc42               fedora      38.9 KiB
 fpc-srpm-macros                   noarch 1.3-14.fc42                fedora     144.0   B
 gdb-minimal                       x86_64 16.2-3.fc43                fedora      13.3 MiB
 gdbm-libs                         x86_64 1:1.23-9.fc42              fedora     129.9 KiB
 ghc-srpm-macros                   noarch 1.9.2-2.fc42               fedora     779.0   B
 glibc                             x86_64 2.41.9000-10.fc43          fedora       6.7 MiB
 glibc-common                      x86_64 2.41.9000-10.fc43          fedora       1.0 MiB
 glibc-gconv-extra                 x86_64 2.41.9000-10.fc43          fedora       7.2 MiB
 gmp                               x86_64 1:6.3.0-3.fc43             fedora     819.2 KiB
 gnat-srpm-macros                  noarch 6-7.fc42                   fedora       1.0 KiB
 gnupg2                            x86_64 2.4.7-3.fc43               copr_base    9.8 MiB
 gnutls                            x86_64 3.8.9-7.fc43               copr_base    3.6 MiB
 go-srpm-macros                    noarch 3.6.0-7.fc43               fedora      60.8 KiB
 ima-evm-utils-libs                x86_64 1.6.2-5.fc43               fedora      60.7 KiB
 jansson                           x86_64 2.14-2.fc42                fedora      93.1 KiB
 json-c                            x86_64 0.18-2.fc42                fedora      86.7 KiB
 kernel-srpm-macros                noarch 1.0-25.fc42                fedora       1.9 KiB
 keyutils-libs                     x86_64 1.6.3-5.fc42               fedora      58.3 KiB
 krb5-libs                         x86_64 1.21.3-5.fc42              fedora       2.3 MiB
 libacl                            x86_64 2.3.2-3.fc42               fedora      38.3 KiB
 libarchive                        x86_64 3.7.7-4.fc43               fedora     930.6 KiB
 libassuan                         x86_64 2.5.7-3.fc42               fedora     167.8 KiB
 libattr                           x86_64 2.5.2-5.fc42               fedora      27.1 KiB
 libblkid                          x86_64 2.40.4-7.fc43              fedora     262.4 KiB
 libbrotli                         x86_64 1.1.0-6.fc43               copr_base  833.3 KiB
 libcap                            x86_64 2.76-1.fc43                fedora     209.2 KiB
 libcap-ng                         x86_64 0.8.5-4.fc42               fedora      72.9 KiB
 libcom_err                        x86_64 1.47.2-3.fc42              fedora      67.1 KiB
 libcurl                           x86_64 8.13.0-1.fc43              copr_base  874.5 KiB
 libeconf                          x86_64 0.7.6-1.fc43               fedora      64.6 KiB
 libevent                          x86_64 2.1.12-15.fc42             fedora     903.1 KiB
 libfdisk                          x86_64 2.40.4-7.fc43              fedora     372.3 KiB
 libffi                            x86_64 3.4.7-4.fc43               fedora      82.6 KiB
 libfsverity                       x86_64 1.6-2.fc42                 fedora      32.5 KiB
 libgcc                            x86_64 15.0.1-0.14.fc43           fedora     266.6 KiB
 libgcrypt                         x86_64 1.11.0-5.fc42              fedora       1.6 MiB
 libgomp                           x86_64 15.0.1-0.14.fc43           fedora     538.5 KiB
 libgpg-error                      x86_64 1.54-1.fc43                fedora     914.7 KiB
 libidn2                           x86_64 2.3.8-1.fc43               fedora     552.5 KiB
 libksba                           x86_64 1.6.7-3.fc42               fedora     402.5 KiB
 libmount                          x86_64 2.40.4-7.fc43              fedora     356.2 KiB
 libnghttp2                        x86_64 1.65.0-1.fc43              fedora     162.2 KiB
 libpkgconf                        x86_64 2.3.0-2.fc42               fedora      78.1 KiB
 libpsl                            x86_64 0.21.5-5.fc42              fedora      76.4 KiB
 libselinux                        x86_64 3.8-1.fc43                 copr_base  193.1 KiB
 libsemanage                       x86_64 3.8-1.fc43                 copr_base  304.4 KiB
 libsepol                          x86_64 3.8-1.fc42                 fedora     826.0 KiB
 libsmartcols                      x86_64 2.40.4-7.fc43              fedora     180.4 KiB
 libssh                            x86_64 0.11.1-4.fc42              fedora     565.5 KiB
 libssh-config                     noarch 0.11.1-4.fc42              fedora     277.0   B
 libstdc++                         x86_64 15.0.1-0.14.fc43           fedora       2.8 MiB
 libtasn1                          x86_64 4.20.0-1.fc43              fedora     176.3 KiB
 libtool-ltdl                      x86_64 2.5.4-4.fc42               fedora      70.1 KiB
 libunistring                      x86_64 1.1-9.fc42                 fedora       1.7 MiB
 libusb1                           x86_64 1.0.28-2.fc43              fedora     171.0 KiB
 libuuid                           x86_64 2.40.4-7.fc43              fedora      37.3 KiB
 libverto                          x86_64 0.3.2-10.fc42              fedora      25.4 KiB
 libxcrypt                         x86_64 4.4.38-7.fc43              fedora     284.5 KiB
 libxml2                           x86_64 2.12.10-1.fc43             fedora       1.7 MiB
 libzstd                           x86_64 1.5.7-1.fc43               fedora     807.8 KiB
 lua-libs                          x86_64 5.4.7-3.fc43               fedora     276.9 KiB
 lua-srpm-macros                   noarch 1-15.fc42                  fedora       1.3 KiB
 lz4-libs                          x86_64 1.10.0-2.fc43              copr_base  161.4 KiB
 mpfr                              x86_64 4.2.2-1.fc43               fedora     828.8 KiB
 ncurses-base                      noarch 6.5-5.20250125.fc42        fedora     326.8 KiB
 ncurses-libs                      x86_64 6.5-5.20250125.fc42        fedora     946.3 KiB
 nettle                            x86_64 3.10.1-1.fc43              fedora     790.5 KiB
 npth                              x86_64 1.8-2.fc42                 fedora      49.6 KiB
 ocaml-srpm-macros                 noarch 10-4.fc42                  fedora       1.9 KiB
 openblas-srpm-macros              noarch 2-19.fc42                  fedora     112.0   B
 openldap                          x86_64 2.6.9-5.fc43               fedora     655.1 KiB
 openssl-libs                      x86_64 1:3.5.0-3.fc43             fedora       8.9 MiB
 p11-kit                           x86_64 0.25.5-5.fc42              fedora       2.2 MiB
 p11-kit-trust                     x86_64 0.25.5-5.fc42              fedora     395.5 KiB
 package-notes-srpm-macros         noarch 0.5-13.fc42                fedora       1.6 KiB
 pam-libs                          x86_64 1.7.0-5.fc43               copr_base  126.7 KiB
 pcre2                             x86_64 10.45-1.fc43               fedora     697.7 KiB
 pcre2-syntax                      noarch 10.45-1.fc43               fedora     273.9 KiB
 perl-srpm-macros                  noarch 1-57.fc42                  fedora     861.0   B
 pkgconf                           x86_64 2.3.0-2.fc42               fedora      88.5 KiB
 pkgconf-m4                        noarch 2.3.0-2.fc42               fedora      14.4 KiB
 pkgconf-pkg-config                x86_64 2.3.0-2.fc42               fedora     989.0   B
 popt                              x86_64 1.19-8.fc42                fedora     132.8 KiB
 publicsuffix-list-dafsa           noarch 20250116-1.fc42            fedora      68.5 KiB
 pyproject-srpm-macros             noarch 1.18.1-1.fc43              copr_base    1.9 KiB
 python-srpm-macros                noarch 3.13-5.fc43                fedora      51.7 KiB
 qt5-srpm-macros                   noarch 5.15.16-1.fc43             fedora     500.0   B
 qt6-srpm-macros                   noarch 6.9.0-2.fc43               fedora     464.0   B
 readline                          x86_64 8.2-13.fc43                fedora     485.0 KiB
 rpm                               x86_64 5.99.90-3.fc43             fedora       3.1 MiB
 rpm-build-libs                    x86_64 5.99.90-3.fc43             fedora     268.4 KiB
 rpm-libs                          x86_64 5.99.90-3.fc43             fedora     921.6 KiB
 rpm-sequoia                       x86_64 1.8.0-1.fc43               fedora       2.5 MiB
 rpm-sign-libs                     x86_64 5.99.90-3.fc43             fedora      39.7 KiB
 rust-srpm-macros                  noarch 26.3-4.fc42                fedora       4.8 KiB
 setup                             noarch 2.15.0-23.fc43             fedora     724.7 KiB
 sqlite-libs                       x86_64 3.49.0-1.fc43              fedora       1.5 MiB
 systemd-libs                      x86_64 257.5-2.fc43               fedora       2.2 MiB
 systemd-standalone-sysusers       x86_64 257.5-2.fc43               fedora     277.3 KiB
 tpm2-tss                          x86_64 4.1.3-7.fc43               fedora       1.6 MiB
 tree-sitter-srpm-macros           noarch 0.2.4-1.fc43               fedora       7.5 KiB
 util-linux-core                   x86_64 2.40.4-7.fc43              fedora       1.4 MiB
 xxhash-libs                       x86_64 0.8.3-2.fc42               fedora      90.2 KiB
 xz-libs                           x86_64 1:5.8.1-1.fc43             fedora     217.8 KiB
 zig-srpm-macros                   noarch 1-4.fc42                   fedora       1.1 KiB
 zip                               x86_64 3.0-43.fc42                fedora     698.5 KiB
 zlib-ng-compat                    x86_64 2.2.4-2.fc43               fedora     137.6 KiB
 zstd                              x86_64 1.5.7-1.fc43               fedora       1.7 MiB
Installing groups:
 Buildsystem building group                                                              

Transaction Summary:
 Installing:       161 packages

Total size of inbound packages is 59 MiB. Need to download 0 B.
After this operation, 197 MiB extra will be used (install 197 MiB, remove 0 B).
[  1/161] tar-2:1.35-5.fc42.x86_64      100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[  2/161] bzip2-0:1.0.8-20.fc42.x86_64  100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[  3/161] redhat-rpm-config-0:343-4.fc4 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
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>>> Already downloaded                                                          
[145/161] nettle-0:3.10.1-1.fc43.x86_64 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[146/161] fedora-release-0:43-0.15.noar 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[147/161] systemd-standalone-sysusers-0 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[148/161] gdb-minimal-0:16.2-3.fc43.x86 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[149/161] xxhash-libs-0:0.8.3-2.fc42.x8 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[150/161] fedora-release-identity-basic 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[151/161] libcurl-0:8.13.0-1.fc43.x86_6 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[152/161] krb5-libs-0:1.21.3-5.fc42.x86 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[153/161] libnghttp2-0:1.65.0-1.fc43.x8 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[154/161] libpsl-0:0.21.5-5.fc42.x86_64 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[155/161] libssh-0:0.11.1-4.fc42.x86_64 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[156/161] keyutils-libs-0:1.6.3-5.fc42. 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[157/161] libcom_err-0:1.47.2-3.fc42.x8 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[158/161] libverto-0:0.3.2-10.fc42.x86_ 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[159/161] publicsuffix-list-dafsa-0:202 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[160/161] libssh-config-0:0.11.1-4.fc42 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[161/161] libbrotli-0:1.1.0-6.fc43.x86_ 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
--------------------------------------------------------------------------------
[161/161] Total                         100% |   0.0   B/s |   0.0   B |  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.
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.
Importing OpenPGP key 0x105EF944:
 UserID     : "Fedora (42) <fedora-42-primary@fedoraproject.org>"
 Fingerprint: B0F4950458F69E1150C6C5EDC8AC4916105EF944
 From       : file:///usr/share/distribution-gpg-keys/fedora/RPM-GPG-KEY-fedora-42-primary
The key was successfully imported.
Importing OpenPGP key 0x6D9F90A6:
 UserID     : "Fedora (44) <fedora-44-primary@fedoraproject.org>"
 Fingerprint: 36F612DCF27F7D1A48A835E4DBFCF71C6D9F90A6
 From       : file:///usr/share/distribution-gpg-keys/fedora/RPM-GPG-KEY-fedora-44-primary
The key was successfully imported.
[  1/163] Verify package files          100% |   1.4 KiB/s | 161.0   B |  00m00s
>>> Running pre-transaction scriptlet: filesystem-0:3.18-40.fc43.x86_64         
>>> Finished pre-transaction scriptlet: filesystem-0:3.18-40.fc43.x86_64        
>>> [RPM] /var/lib/mock/fedora-rawhide-x86_64-1745510928.265359/root/var/cache/d
[  2/163] Prepare transaction           100% |   3.6 KiB/s | 161.0   B |  00m00s
[  3/163] Installing libgcc-0:15.0.1-0. 100% | 262.0 MiB/s | 268.3 KiB |  00m00s
[  4/163] Installing libssh-config-0:0. 100% |   0.0   B/s | 816.0   B |  00m00s
[  5/163] Installing publicsuffix-list- 100% |   0.0   B/s |  69.2 KiB |  00m00s
[  6/163] Installing fedora-release-ide 100% |   0.0   B/s | 920.0   B |  00m00s
[  7/163] Installing fedora-repos-rawhi 100% |   0.0   B/s |   2.4 KiB |  00m00s
[  8/163] Installing fedora-gpg-keys-0: 100% |  42.7 MiB/s | 174.8 KiB |  00m00s
[  9/163] Installing fedora-repos-0:43- 100% |   0.0   B/s |   5.7 KiB |  00m00s
[ 10/163] Installing fedora-release-com 100% |  24.1 MiB/s |  24.7 KiB |  00m00s
[ 11/163] Installing fedora-release-0:4 100% |  15.1 KiB/s | 124.0   B |  00m00s
>>> Running sysusers scriptlet: setup-0:2.15.0-23.fc43.noarch                   
>>> Finished sysusers scriptlet: setup-0:2.15.0-23.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.                           
>>>                                                                             
[ 12/163] Installing setup-0:2.15.0-23. 100% |  47.5 MiB/s | 730.3 KiB |  00m00s
>>> [RPM] /etc/hosts created as /etc/hosts.rpmnew                               
[ 13/163] Installing filesystem-0:3.18- 100% |   2.4 MiB/s | 212.4 KiB |  00m00s
[ 14/163] Installing pkgconf-m4-0:2.3.0 100% |   0.0   B/s |  14.8 KiB |  00m00s
[ 15/163] Installing pcre2-syntax-0:10. 100% | 269.9 MiB/s | 276.4 KiB |  00m00s
[ 16/163] Installing ncurses-base-0:6.5 100% |  68.8 MiB/s | 352.2 KiB |  00m00s
[ 17/163] Installing bash-0:5.2.37-3.fc 100% | 227.2 MiB/s |   8.2 MiB |  00m00s
[ 18/163] Installing glibc-common-0:2.4 100% |  56.7 MiB/s |   1.0 MiB |  00m00s
[ 19/163] Installing glibc-gconv-extra- 100% | 252.1 MiB/s |   7.3 MiB |  00m00s
[ 20/163] Installing glibc-0:2.41.9000- 100% | 166.7 MiB/s |   6.7 MiB |  00m00s
[ 21/163] Installing ncurses-libs-0:6.5 100% | 232.6 MiB/s | 952.8 KiB |  00m00s
[ 22/163] Installing glibc-minimal-lang 100% |   0.0   B/s | 124.0   B |  00m00s
[ 23/163] Installing zlib-ng-compat-0:2 100% | 135.2 MiB/s | 138.4 KiB |  00m00s
[ 24/163] Installing bzip2-libs-0:1.0.8 100% |  83.7 MiB/s |  85.7 KiB |  00m00s
[ 25/163] Installing libstdc++-0:15.0.1 100% | 354.6 MiB/s |   2.8 MiB |  00m00s
[ 26/163] Installing xz-libs-1:5.8.1-1. 100% | 213.8 MiB/s | 218.9 KiB |  00m00s
[ 27/163] Installing gmp-1:6.3.0-3.fc43 100% | 401.1 MiB/s | 821.5 KiB |  00m00s
[ 28/163] Installing libuuid-0:2.40.4-7 100% |   0.0   B/s |  38.4 KiB |  00m00s
[ 29/163] Installing readline-0:8.2-13. 100% | 237.8 MiB/s | 487.1 KiB |  00m00s
[ 30/163] Installing popt-0:1.19-8.fc42 100% |  68.1 MiB/s | 139.4 KiB |  00m00s
[ 31/163] Installing libblkid-0:2.40.4- 100% | 257.2 MiB/s | 263.4 KiB |  00m00s
[ 32/163] Installing libxcrypt-0:4.4.38 100% | 280.4 MiB/s | 287.2 KiB |  00m00s
[ 33/163] Installing libzstd-0:1.5.7-1. 100% | 395.1 MiB/s | 809.1 KiB |  00m00s
[ 34/163] Installing elfutils-libelf-0: 100% | 390.1 MiB/s |   1.2 MiB |  00m00s
[ 35/163] Installing libgpg-error-0:1.5 100% |  52.9 MiB/s | 920.6 KiB |  00m00s
[ 36/163] Installing libattr-0:2.5.2-5. 100% |  27.4 MiB/s |  28.1 KiB |  00m00s
[ 37/163] Installing libacl-0:2.3.2-3.f 100% |   0.0   B/s |  39.2 KiB |  00m00s
[ 38/163] Installing libtasn1-0:4.20.0- 100% | 173.9 MiB/s | 178.1 KiB |  00m00s
[ 39/163] Installing libunistring-0:1.1 100% | 345.3 MiB/s |   1.7 MiB |  00m00s
[ 40/163] Installing libidn2-0:2.3.8-1. 100% |  54.6 MiB/s | 558.7 KiB |  00m00s
[ 41/163] Installing crypto-policies-0: 100% |  32.5 MiB/s | 166.6 KiB |  00m00s
[ 42/163] Installing dwz-0:0.15-9.fc42. 100% |  19.0 MiB/s | 292.4 KiB |  00m00s
[ 43/163] Installing mpfr-0:4.2.2-1.fc4 100% | 270.3 MiB/s | 830.4 KiB |  00m00s
[ 44/163] Installing gawk-0:5.3.2-1.fc4 100% |  90.8 MiB/s |   1.8 MiB |  00m00s
[ 45/163] Installing unzip-0:6.0-66.fc4 100% |  27.5 MiB/s | 393.8 KiB |  00m00s
[ 46/163] Installing file-libs-0:5.46-1 100% | 624.1 MiB/s |  11.9 MiB |  00m00s
[ 47/163] Installing file-0:5.46-1.fc43 100% |   7.1 MiB/s | 101.7 KiB |  00m00s
[ 48/163] Installing pcre2-0:10.45-1.fc 100% | 341.4 MiB/s | 699.1 KiB |  00m00s
[ 49/163] Installing grep-0:3.12-1.fc43 100% |  55.7 MiB/s |   1.0 MiB |  00m00s
[ 50/163] Installing xz-1:5.8.1-1.fc43. 100% |  70.1 MiB/s |   1.3 MiB |  00m00s
[ 51/163] Installing libeconf-0:0.7.6-1 100% |  64.7 MiB/s |  66.2 KiB |  00m00s
[ 52/163] Installing libcap-ng-0:0.8.5- 100% |  73.1 MiB/s |  74.8 KiB |  00m00s
[ 53/163] Installing audit-libs-0:4.0.3 100% | 172.6 MiB/s | 353.4 KiB |  00m00s
[ 54/163] Installing pam-libs-0:1.7.0-5 100% | 126.1 MiB/s | 129.1 KiB |  00m00s
[ 55/163] Installing libcap-0:2.76-1.fc 100% |  14.9 MiB/s | 214.3 KiB |  00m00s
[ 56/163] Installing systemd-libs-0:257 100% | 318.3 MiB/s |   2.2 MiB |  00m00s
[ 57/163] Installing libsmartcols-0:2.4 100% | 177.3 MiB/s | 181.5 KiB |  00m00s
[ 58/163] Installing lua-libs-0:5.4.7-3 100% | 271.5 MiB/s | 278.1 KiB |  00m00s
[ 59/163] Installing sqlite-libs-0:3.49 100% | 304.8 MiB/s |   1.5 MiB |  00m00s
[ 60/163] Installing json-c-0:0.18-2.fc 100% |  85.9 MiB/s |  88.0 KiB |  00m00s
[ 61/163] Installing lz4-libs-0:1.10.0- 100% | 158.7 MiB/s | 162.5 KiB |  00m00s
[ 62/163] Installing libsepol-0:3.8-1.f 100% | 269.2 MiB/s | 827.0 KiB |  00m00s
[ 63/163] Installing libselinux-0:3.8-1 100% | 189.7 MiB/s | 194.3 KiB |  00m00s
[ 64/163] Installing sed-0:4.9-4.fc42.x 100% |  49.7 MiB/s | 865.5 KiB |  00m00s
[ 65/163] Installing findutils-1:4.10.0 100% |  98.6 MiB/s |   1.9 MiB |  00m00s
[ 66/163] Installing libmount-0:2.40.4- 100% | 174.5 MiB/s | 357.4 KiB |  00m00s
[ 67/163] Installing alternatives-0:1.3 100% |   4.8 MiB/s |  63.8 KiB |  00m00s
[ 68/163] Installing libffi-0:3.4.7-4.f 100% |  82.0 MiB/s |  84.0 KiB |  00m00s
[ 69/163] Installing p11-kit-0:0.25.5-5 100% |  99.3 MiB/s |   2.2 MiB |  00m00s
[ 70/163] Installing p11-kit-trust-0:0. 100% |  17.6 MiB/s | 397.2 KiB |  00m00s
[ 71/163] Installing util-linux-core-0: 100% |  67.9 MiB/s |   1.4 MiB |  00m00s
[ 72/163] Installing tar-2:1.35-5.fc42. 100% | 134.6 MiB/s |   3.0 MiB |  00m00s
[ 73/163] Installing libsemanage-0:3.8- 100% | 149.5 MiB/s | 306.2 KiB |  00m00s
[ 74/163] Installing systemd-standalone 100% |  19.4 MiB/s | 277.9 KiB |  00m00s
[ 75/163] Installing zstd-0:1.5.7-1.fc4 100% |  95.0 MiB/s |   1.7 MiB |  00m00s
[ 76/163] Installing libusb1-0:1.0.28-2 100% | 168.7 MiB/s | 172.7 KiB |  00m00s
[ 77/163] Installing zip-0:3.0-43.fc42. 100% |  42.9 MiB/s | 702.4 KiB |  00m00s
[ 78/163] Installing libpsl-0:0.21.5-5. 100% |  75.7 MiB/s |  77.5 KiB |  00m00s
[ 79/163] Installing libassuan-0:2.5.7- 100% | 165.6 MiB/s | 169.6 KiB |  00m00s
[ 80/163] Installing libgcrypt-0:1.11.0 100% | 313.9 MiB/s |   1.6 MiB |  00m00s
[ 81/163] Installing libksba-0:1.6.7-3. 100% | 197.8 MiB/s | 405.1 KiB |  00m00s
[ 82/163] Installing libfdisk-0:2.40.4- 100% | 182.4 MiB/s | 373.5 KiB |  00m00s
[ 83/163] Installing nettle-0:3.10.1-1. 100% | 258.3 MiB/s | 793.6 KiB |  00m00s
[ 84/163] Installing gnutls-0:3.8.9-7.f 100% | 359.3 MiB/s |   3.6 MiB |  00m00s
[ 85/163] Installing libxml2-0:2.12.10- 100% |  94.3 MiB/s |   1.7 MiB |  00m00s
[ 86/163] Installing bzip2-0:1.0.8-20.f 100% |   7.2 MiB/s | 103.8 KiB |  00m00s
[ 87/163] Installing add-determinism-0: 100% | 123.3 MiB/s |   2.5 MiB |  00m00s
[ 88/163] Installing build-reproducibil 100% |   0.0   B/s |   1.0 KiB |  00m00s
[ 89/163] Installing cpio-0:2.15-2.fc41 100% |  64.7 MiB/s |   1.1 MiB |  00m00s
[ 90/163] Installing diffutils-0:3.12-1 100% |  82.2 MiB/s |   1.6 MiB |  00m00s
[ 91/163] Installing ed-0:1.21-2.fc42.x 100% |  10.4 MiB/s | 148.8 KiB |  00m00s
[ 92/163] Installing patch-0:2.8-1.fc43 100% |  15.9 MiB/s | 228.3 KiB |  00m00s
[ 93/163] Installing libgomp-0:15.0.1-0 100% | 263.6 MiB/s | 539.9 KiB |  00m00s
[ 94/163] Installing jansson-0:2.14-2.f 100% |  92.2 MiB/s |  94.4 KiB |  00m00s
[ 95/163] Installing npth-0:1.8-2.fc42. 100% |   0.0   B/s |  50.7 KiB |  00m00s
[ 96/163] Installing libtool-ltdl-0:2.5 100% |  69.6 MiB/s |  71.2 KiB |  00m00s
[ 97/163] Installing gdbm-libs-1:1.23-9 100% | 128.5 MiB/s | 131.6 KiB |  00m00s
[ 98/163] Installing cyrus-sasl-lib-0:2 100% | 115.2 MiB/s |   2.3 MiB |  00m00s
[ 99/163] Installing libpkgconf-0:2.3.0 100% |  77.4 MiB/s |  79.2 KiB |  00m00s
[100/163] Installing pkgconf-0:2.3.0-2. 100% |   6.3 MiB/s |  91.0 KiB |  00m00s
[101/163] Installing pkgconf-pkg-config 100% | 136.4 KiB/s |   1.8 KiB |  00m00s
[102/163] Installing xxhash-libs-0:0.8. 100% |  89.4 MiB/s |  91.6 KiB |  00m00s
[103/163] Installing libnghttp2-0:1.65. 100% | 159.5 MiB/s | 163.3 KiB |  00m00s
[104/163] Installing keyutils-libs-0:1. 100% |  58.3 MiB/s |  59.7 KiB |  00m00s
[105/163] Installing libcom_err-0:1.47. 100% |   0.0   B/s |  68.2 KiB |  00m00s
[106/163] Installing libverto-0:0.3.2-1 100% |  26.6 MiB/s |  27.2 KiB |  00m00s
[107/163] Installing libbrotli-0:1.1.0- 100% | 272.0 MiB/s | 835.6 KiB |  00m00s
[108/163] Installing filesystem-srpm-ma 100% |   0.0   B/s |  38.9 KiB |  00m00s
[109/163] Installing elfutils-default-y 100% | 340.5 KiB/s |   2.0 KiB |  00m00s
[110/163] Installing elfutils-libs-0:0. 100% | 220.3 MiB/s | 676.7 KiB |  00m00s
[111/163] Installing coreutils-common-0 100% | 352.9 MiB/s |  11.3 MiB |  00m00s
[112/163] Installing openssl-libs-1:3.5 100% | 370.4 MiB/s |   8.9 MiB |  00m00s
[113/163] Installing coreutils-0:9.7-1. 100% | 147.2 MiB/s |   5.4 MiB |  00m00s
[114/163] Installing ca-certificates-0: 100% |   1.8 MiB/s |   2.4 MiB |  00m01s
[115/163] Installing libarchive-0:3.7.7 100% | 227.7 MiB/s | 932.6 KiB |  00m00s
[116/163] Installing krb5-libs-0:1.21.3 100% | 143.7 MiB/s |   2.3 MiB |  00m00s
>>> Running sysusers scriptlet: tpm2-tss-0:4.1.3-7.fc43.x86_64                  
>>> Finished sysusers scriptlet: tpm2-tss-0:4.1.3-7.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.   
>>>                                                                             
[117/163] Installing tpm2-tss-0:4.1.3-7 100% | 261.3 MiB/s |   1.6 MiB |  00m00s
[118/163] Installing ima-evm-utils-libs 100% |  60.5 MiB/s |  62.0 KiB |  00m00s
[119/163] Installing libssh-0:0.11.1-4. 100% | 277.1 MiB/s | 567.5 KiB |  00m00s
[120/163] Installing gzip-0:1.13-3.fc42 100% |  24.3 MiB/s | 398.4 KiB |  00m00s
[121/163] Installing rpm-sequoia-0:1.8. 100% | 313.0 MiB/s |   2.5 MiB |  00m00s
[122/163] Installing rpm-libs-0:5.99.90 100% | 300.5 MiB/s | 923.1 KiB |  00m00s
[123/163] Installing libfsverity-0:1.6- 100% |  32.7 MiB/s |  33.5 KiB |  00m00s
[124/163] Installing libevent-0:2.1.12- 100% | 295.2 MiB/s | 906.9 KiB |  00m00s
[125/163] Installing openldap-0:2.6.9-5 100% | 214.5 MiB/s | 658.9 KiB |  00m00s
[126/163] Installing libcurl-0:8.13.0-1 100% | 285.0 MiB/s | 875.6 KiB |  00m00s
[127/163] Installing elfutils-debuginfo 100% |   5.6 MiB/s |  86.2 KiB |  00m00s
[128/163] Installing elfutils-0:0.192-8 100% | 128.0 MiB/s |   2.7 MiB |  00m00s
[129/163] Installing binutils-0:2.44-3. 100% | 297.7 MiB/s |  25.9 MiB |  00m00s
[130/163] Installing gdb-minimal-0:16.2 100% | 254.9 MiB/s |  13.3 MiB |  00m00s
[131/163] Installing debugedit-0:5.1-6. 100% |  13.6 MiB/s | 195.4 KiB |  00m00s
[132/163] Installing curl-0:8.13.0-1.fc 100% |  18.9 MiB/s | 463.5 KiB |  00m00s
[133/163] Installing rpm-0:5.99.90-3.fc 100% |  67.8 MiB/s |   2.5 MiB |  00m00s
[134/163] Installing efi-srpm-macros-0: 100% |  40.2 MiB/s |  41.1 KiB |  00m00s
[135/163] Installing lua-srpm-macros-0: 100% |   0.0   B/s |   1.9 KiB |  00m00s
[136/163] Installing tree-sitter-srpm-m 100% |   0.0   B/s |   8.6 KiB |  00m00s
[137/163] Installing zig-srpm-macros-0: 100% |   1.6 MiB/s |   1.7 KiB |  00m00s
[138/163] Installing gnupg2-0:2.4.7-3.f 100% | 217.6 MiB/s |   9.8 MiB |  00m00s
[139/163] Installing rpm-sign-libs-0:5. 100% |  39.6 MiB/s |  40.5 KiB |  00m00s
[140/163] Installing rpm-build-libs-0:5 100% | 262.9 MiB/s | 269.2 KiB |  00m00s
[141/163] Installing rust-srpm-macros-0 100% |   0.0   B/s |   5.6 KiB |  00m00s
[142/163] Installing qt6-srpm-macros-0: 100% |   0.0   B/s | 740.0   B |  00m00s
[143/163] Installing qt5-srpm-macros-0: 100% |   0.0   B/s | 776.0   B |  00m00s
[144/163] Installing perl-srpm-macros-0 100% |   0.0   B/s |   1.1 KiB |  00m00s
[145/163] Installing package-notes-srpm 100% |   0.0   B/s |   2.0 KiB |  00m00s
[146/163] Installing openblas-srpm-macr 100% |   0.0   B/s | 392.0   B |  00m00s
[147/163] Installing ocaml-srpm-macros- 100% |   0.0   B/s |   2.2 KiB |  00m00s
[148/163] Installing kernel-srpm-macros 100% |   0.0   B/s |   2.3 KiB |  00m00s
[149/163] Installing gnat-srpm-macros-0 100% |   0.0   B/s |   1.3 KiB |  00m00s
[150/163] Installing ghc-srpm-macros-0: 100% |   0.0   B/s |   1.0 KiB |  00m00s
[151/163] Installing fpc-srpm-macros-0: 100% |   0.0   B/s | 420.0   B |  00m00s
[152/163] Installing ansible-srpm-macro 100% |  35.4 MiB/s |  36.2 KiB |  00m00s
[153/163] Installing rpm-build-0:5.99.9 100% |  17.0 MiB/s | 278.4 KiB |  00m00s
[154/163] Installing pyproject-srpm-mac 100% |   2.4 MiB/s |   2.5 KiB |  00m00s
[155/163] Installing redhat-rpm-config- 100% |  93.9 MiB/s | 192.3 KiB |  00m00s
[156/163] Installing forge-srpm-macros- 100% |  39.3 MiB/s |  40.3 KiB |  00m00s
[157/163] Installing fonts-srpm-macros- 100% |  55.7 MiB/s |  57.0 KiB |  00m00s
[158/163] Installing go-srpm-macros-0:3 100% |  60.5 MiB/s |  62.0 KiB |  00m00s
[159/163] Installing python-srpm-macros 100% |  51.8 MiB/s |  53.0 KiB |  00m00s
[160/163] Installing which-0:2.23-1.fc4 100% |   5.6 MiB/s |  85.6 KiB |  00m00s
[161/163] Installing util-linux-0:2.40. 100% |  88.8 MiB/s |   3.5 MiB |  00m00s
[162/163] Installing shadow-utils-2:4.1 100% | 119.2 MiB/s |   4.1 MiB |  00m00s
[163/163] Installing info-0:7.2-3.fc42. 100% | 209.5 KiB/s | 358.3 KiB |  00m02s
Warning: skipped OpenPGP checks for 12 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-0.6.0-1.fc43.x86_64
alternatives-1.32-1.fc43.x86_64
ansible-srpm-macros-1-17.1.fc42.noarch
audit-libs-4.0.3-2.fc42.x86_64
bash-5.2.37-3.fc43.x86_64
binutils-2.44-3.fc43.x86_64
build-reproducibility-srpm-macros-0.6.0-1.fc43.noarch
bzip2-1.0.8-20.fc42.x86_64
bzip2-libs-1.0.8-20.fc42.x86_64
ca-certificates-2024.2.69_v8.0.401-5.fc42.noarch
coreutils-9.7-1.fc43.x86_64
coreutils-common-9.7-1.fc43.x86_64
cpio-2.15-2.fc41.x86_64
crypto-policies-20250402-2.git86c0178.fc43.noarch
curl-8.13.0-1.fc43.x86_64
cyrus-sasl-lib-2.1.28-30.fc42.x86_64
debugedit-5.1-6.fc43.x86_64
diffutils-3.12-1.fc43.x86_64
dwz-0.15-9.fc42.x86_64
ed-1.21-2.fc42.x86_64
efi-srpm-macros-6-3.fc43.noarch
elfutils-0.192-8.fc42.x86_64
elfutils-debuginfod-client-0.192-8.fc42.x86_64
elfutils-default-yama-scope-0.192-8.fc42.noarch
elfutils-libelf-0.192-8.fc42.x86_64
elfutils-libs-0.192-8.fc42.x86_64
fedora-gpg-keys-43-0.1.noarch
fedora-release-43-0.15.noarch
fedora-release-common-43-0.15.noarch
fedora-release-identity-basic-43-0.15.noarch
fedora-repos-43-0.1.noarch
fedora-repos-rawhide-43-0.1.noarch
file-5.46-1.fc43.x86_64
file-libs-5.46-1.fc43.x86_64
filesystem-3.18-40.fc43.x86_64
filesystem-srpm-macros-3.18-40.fc43.noarch
findutils-4.10.0-5.fc42.x86_64
fonts-srpm-macros-2.0.5-21.fc42.noarch
forge-srpm-macros-0.4.0-2.fc42.noarch
fpc-srpm-macros-1.3-14.fc42.noarch
gawk-5.3.2-1.fc43.x86_64
gdb-minimal-16.2-3.fc43.x86_64
gdbm-libs-1.23-9.fc42.x86_64
ghc-srpm-macros-1.9.2-2.fc42.noarch
glibc-2.41.9000-10.fc43.x86_64
glibc-common-2.41.9000-10.fc43.x86_64
glibc-gconv-extra-2.41.9000-10.fc43.x86_64
glibc-minimal-langpack-2.41.9000-10.fc43.x86_64
gmp-6.3.0-3.fc43.x86_64
gnat-srpm-macros-6-7.fc42.noarch
gnupg2-2.4.7-3.fc43.x86_64
gnutls-3.8.9-7.fc43.x86_64
go-srpm-macros-3.6.0-7.fc43.noarch
gpg-pubkey-36f612dcf27f7d1a48a835e4dbfcf71c6d9f90a6-6786af3b
gpg-pubkey-b0f4950458f69e1150c6c5edc8ac4916105ef944-65ca83d1
gpg-pubkey-c6e7f081cf80e13146676e88829b606631645531-66b6dccf
grep-3.12-1.fc43.x86_64
gzip-1.13-3.fc42.x86_64
ima-evm-utils-libs-1.6.2-5.fc43.x86_64
info-7.2-3.fc42.x86_64
jansson-2.14-2.fc42.x86_64
json-c-0.18-2.fc42.x86_64
kernel-srpm-macros-1.0-25.fc42.noarch
keyutils-libs-1.6.3-5.fc42.x86_64
krb5-libs-1.21.3-5.fc42.x86_64
libacl-2.3.2-3.fc42.x86_64
libarchive-3.7.7-4.fc43.x86_64
libassuan-2.5.7-3.fc42.x86_64
libattr-2.5.2-5.fc42.x86_64
libblkid-2.40.4-7.fc43.x86_64
libbrotli-1.1.0-6.fc43.x86_64
libcap-2.76-1.fc43.x86_64
libcap-ng-0.8.5-4.fc42.x86_64
libcom_err-1.47.2-3.fc42.x86_64
libcurl-8.13.0-1.fc43.x86_64
libeconf-0.7.6-1.fc43.x86_64
libevent-2.1.12-15.fc42.x86_64
libfdisk-2.40.4-7.fc43.x86_64
libffi-3.4.7-4.fc43.x86_64
libfsverity-1.6-2.fc42.x86_64
libgcc-15.0.1-0.14.fc43.x86_64
libgcrypt-1.11.0-5.fc42.x86_64
libgomp-15.0.1-0.14.fc43.x86_64
libgpg-error-1.54-1.fc43.x86_64
libidn2-2.3.8-1.fc43.x86_64
libksba-1.6.7-3.fc42.x86_64
libmount-2.40.4-7.fc43.x86_64
libnghttp2-1.65.0-1.fc43.x86_64
libpkgconf-2.3.0-2.fc42.x86_64
libpsl-0.21.5-5.fc42.x86_64
libselinux-3.8-1.fc43.x86_64
libsemanage-3.8-1.fc43.x86_64
libsepol-3.8-1.fc42.x86_64
libsmartcols-2.40.4-7.fc43.x86_64
libssh-0.11.1-4.fc42.x86_64
libssh-config-0.11.1-4.fc42.noarch
libstdc++-15.0.1-0.14.fc43.x86_64
libtasn1-4.20.0-1.fc43.x86_64
libtool-ltdl-2.5.4-4.fc42.x86_64
libunistring-1.1-9.fc42.x86_64
libusb1-1.0.28-2.fc43.x86_64
libuuid-2.40.4-7.fc43.x86_64
libverto-0.3.2-10.fc42.x86_64
libxcrypt-4.4.38-7.fc43.x86_64
libxml2-2.12.10-1.fc43.x86_64
libzstd-1.5.7-1.fc43.x86_64
lua-libs-5.4.7-3.fc43.x86_64
lua-srpm-macros-1-15.fc42.noarch
lz4-libs-1.10.0-2.fc43.x86_64
mpfr-4.2.2-1.fc43.x86_64
ncurses-base-6.5-5.20250125.fc42.noarch
ncurses-libs-6.5-5.20250125.fc42.x86_64
nettle-3.10.1-1.fc43.x86_64
npth-1.8-2.fc42.x86_64
ocaml-srpm-macros-10-4.fc42.noarch
openblas-srpm-macros-2-19.fc42.noarch
openldap-2.6.9-5.fc43.x86_64
openssl-libs-3.5.0-3.fc43.x86_64
p11-kit-0.25.5-5.fc42.x86_64
p11-kit-trust-0.25.5-5.fc42.x86_64
package-notes-srpm-macros-0.5-13.fc42.noarch
pam-libs-1.7.0-5.fc43.x86_64
patch-2.8-1.fc43.x86_64
pcre2-10.45-1.fc43.x86_64
pcre2-syntax-10.45-1.fc43.noarch
perl-srpm-macros-1-57.fc42.noarch
pkgconf-2.3.0-2.fc42.x86_64
pkgconf-m4-2.3.0-2.fc42.noarch
pkgconf-pkg-config-2.3.0-2.fc42.x86_64
popt-1.19-8.fc42.x86_64
publicsuffix-list-dafsa-20250116-1.fc42.noarch
pyproject-srpm-macros-1.18.1-1.fc43.noarch
python-srpm-macros-3.13-5.fc43.noarch
qt5-srpm-macros-5.15.16-1.fc43.noarch
qt6-srpm-macros-6.9.0-2.fc43.noarch
readline-8.2-13.fc43.x86_64
redhat-rpm-config-343-4.fc43.noarch
rpm-5.99.90-3.fc43.x86_64
rpm-build-5.99.90-3.fc43.x86_64
rpm-build-libs-5.99.90-3.fc43.x86_64
rpm-libs-5.99.90-3.fc43.x86_64
rpm-sequoia-1.8.0-1.fc43.x86_64
rpm-sign-libs-5.99.90-3.fc43.x86_64
rust-srpm-macros-26.3-4.fc42.noarch
sed-4.9-4.fc42.x86_64
setup-2.15.0-23.fc43.noarch
shadow-utils-4.17.4-1.fc43.x86_64
sqlite-libs-3.49.0-1.fc43.x86_64
systemd-libs-257.5-2.fc43.x86_64
systemd-standalone-sysusers-257.5-2.fc43.x86_64
tar-1.35-5.fc42.x86_64
tpm2-tss-4.1.3-7.fc43.x86_64
tree-sitter-srpm-macros-0.2.4-1.fc43.noarch
unzip-6.0-66.fc42.x86_64
util-linux-2.40.4-7.fc43.x86_64
util-linux-core-2.40.4-7.fc43.x86_64
which-2.23-1.fc42.x86_64
xxhash-libs-0.8.3-2.fc42.x86_64
xz-5.8.1-1.fc43.x86_64
xz-libs-5.8.1-1.fc43.x86_64
zig-srpm-macros-1-4.fc42.noarch
zip-3.0-43.fc42.x86_64
zlib-ng-compat-2.2.4-2.fc43.x86_64
zstd-1.5.7-1.fc43.x86_64
Start: buildsrpm
Start: rpmbuild -bs
Building target platforms: x86_64
Building for target x86_64
setting SOURCE_DATE_EPOCH=1737158400
Wrote: /builddir/build/SRPMS/python-xbout-0.3.6-5.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-rawhide-x86_64-1745510928.265359/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-9b3_x20d/python-xbout/python-xbout.spec) Config(child) 0 minutes 12 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-0.3.6-5.fc43.src.rpm)  Config(fedora-rawhide-x86_64)
Start(bootstrap): chroot init
INFO: mounting tmpfs at /var/lib/mock/fedora-rawhide-x86_64-bootstrap-1745510928.265359/root.
INFO: reusing tmpfs at /var/lib/mock/fedora-rawhide-x86_64-bootstrap-1745510928.265359/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-rawhide-x86_64-1745510928.265359/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-5.99.90-3.fc43.x86_64
  rpm-sequoia-1.8.0-1.fc43.x86_64
  dnf5-5.2.13.0-1.fc43.x86_64
  dnf5-plugins-5.2.13.0-1.fc43.x86_64
Finish: chroot init
Start: build phase for python-xbout-0.3.6-5.fc43.src.rpm
Start: build setup for python-xbout-0.3.6-5.fc43.src.rpm
Building target platforms: x86_64
Building for target x86_64
setting SOURCE_DATE_EPOCH=1737158400
Wrote: /builddir/build/SRPMS/python-xbout-0.3.6-5.fc43.src.rpm
Updating and loading repositories:
 fedora                                 100% |  36.4 KiB/s |  11.6 KiB |  00m00s
 Copr repository                        100% |  69.9 KiB/s |   1.5 KiB |  00m00s
Repositories loaded.
Package                           Arch   Version            Repository      Size
Installing:
 python3-boutdata                 noarch 0.2.1-8.fc43       copr_base  544.5 KiB
 python3-devel                    x86_64 3.13.3-1.fc43      fedora       1.8 MiB
 python3-pytest                   noarch 8.3.5-2.fc43       copr_base   21.0 MiB
 python3-sphinx                   noarch 1:8.2.3-4.fc43     copr_base   11.4 MiB
 python3-sphinx-autodoc-typehints noarch 3.1.0-1.fc43       copr_base  118.8 KiB
Installing dependencies:
 abattis-cantarell-vf-fonts       noarch 0.301-14.fc43      copr_base  192.7 KiB
 blosc                            x86_64 1.21.6-6.fc42      fedora     126.2 KiB
 cairo                            x86_64 1.18.2-3.fc43      copr_base    1.8 MiB
 default-fonts-core-sans          noarch 4.2-4.fc42         fedora      11.9 KiB
 dejavu-sans-fonts                noarch 2.37-25.fc42       fedora       5.5 MiB
 expat                            x86_64 2.7.1-1.fc43       fedora     294.2 KiB
 flexiblas                        x86_64 3.4.5-1.fc43       fedora      50.4 KiB
 flexiblas-netlib                 x86_64 3.4.5-1.fc43       fedora      10.9 MiB
 flexiblas-openblas-openmp        x86_64 3.4.5-1.fc43       fedora      39.2 KiB
 fontconfig                       x86_64 2.16.2-1.fc43      copr_base  760.8 KiB
 fonts-filesystem                 noarch 1:2.0.5-21.fc42    fedora       0.0   B
 freetype                         x86_64 2.13.3-2.fc42      fedora     858.2 KiB
 fribidi                          x86_64 1.0.16-2.fc43      copr_base  190.3 KiB
 glib2                            x86_64 2.84.1-1.fc43      copr_base   14.7 MiB
 google-noto-fonts-common         noarch 20250401-1.fc43    fedora      17.7 KiB
 google-noto-sans-vf-fonts        noarch 20250401-1.fc43    fedora       1.4 MiB
 graphite2                        x86_64 1.3.14-18.fc42     fedora     195.8 KiB
 harfbuzz                         x86_64 11.1.0-1.fc43      copr_base    2.8 MiB
 hdf-libs                         x86_64 4.3.0-3.fc42       fedora     687.1 KiB
 hdf5                             x86_64 1.14.6-3.fc43      fedora       6.4 MiB
 jbigkit-libs                     x86_64 2.1-31.fc42        fedora     121.4 KiB
 lcms2                            x86_64 2.16-5.fc43        copr_base  433.7 KiB
 libX11                           x86_64 1.8.11-1.fc42      fedora       1.3 MiB
 libX11-common                    noarch 1.8.11-1.fc42      fedora       1.2 MiB
 libXau                           x86_64 1.0.12-2.fc42      fedora      76.9 KiB
 libXext                          x86_64 1.3.6-3.fc42       fedora      90.0 KiB
 libXrender                       x86_64 0.9.12-2.fc42      fedora      50.0 KiB
 libaec                           x86_64 1.1.3-2.fc42       fedora      97.9 KiB
 libb2                            x86_64 0.98.1-13.fc42     fedora      46.1 KiB
 libgfortran                      x86_64 15.0.1-0.14.fc43   fedora       3.3 MiB
 libimagequant                    x86_64 4.0.3-7.fc42       fedora     704.3 KiB
 libjpeg-turbo                    x86_64 3.1.0-2.fc42       fedora     803.2 KiB
 liblerc                          x86_64 4.0.0-8.fc42       fedora     636.1 KiB
 libpng                           x86_64 2:1.6.47-1.fc43    fedora     237.7 KiB
 libqhull_r                       x86_64 1:8.0.2-6.fc42     fedora     483.3 KiB
 libquadmath                      x86_64 15.0.1-0.14.fc43   fedora     317.9 KiB
 libraqm                          x86_64 0.10.1-2.fc43      copr_base   28.6 KiB
 libtiff                          x86_64 4.7.0-3.fc42       fedora     619.1 KiB
 libtirpc                         x86_64 1.3.6-1.rc3.fc42.2 fedora     199.0 KiB
 libwebp                          x86_64 1.5.0-2.fc42       fedora     947.6 KiB
 libxcb                           x86_64 1.17.0-5.fc42      fedora       1.1 MiB
 libzip                           x86_64 1.11.3-1.fc42      fedora     135.8 KiB
 mpdecimal                        x86_64 4.0.0-2.fc43       fedora     216.8 KiB
 netcdf                           x86_64 4.9.2-13.fc43      fedora       2.3 MiB
 openblas                         x86_64 0.3.29-1.fc42      fedora     111.7 KiB
 openblas-openmp                  x86_64 0.3.29-1.fc42      fedora      43.7 MiB
 openjpeg                         x86_64 2.5.3-6.fc42       fedora     451.8 KiB
 pixman                           x86_64 0.44.2-2.fc43      copr_base  670.2 KiB
 pyproject-rpm-macros             noarch 1.18.1-1.fc43      copr_base  114.5 KiB
 python-pip-wheel                 noarch 25.0.1-3.fc43      copr_base    1.3 MiB
 python-rpm-macros                noarch 3.13-5.fc43        fedora      22.1 KiB
 python3                          x86_64 3.13.3-1.fc43      fedora      28.7 KiB
 python3-babel                    noarch 2.17.0-1.fc43      copr_base   30.2 MiB
 python3-boututils                noarch 0.2.1-8.fc43       copr_base  434.4 KiB
 python3-cairo                    x86_64 1.25.1-6.fc43      copr_base  497.1 KiB
 python3-certifi                  noarch 2024.08.30-2.fc43  copr_base    7.0 KiB
 python3-cftime                   x86_64 1.6.4-4.fc43       copr_base  641.5 KiB
 python3-charset-normalizer       noarch 3.4.1-3.fc43       copr_base  319.6 KiB
 python3-contourpy                x86_64 1.3.2-1.fc43       copr_base  838.7 KiB
 python3-cycler                   noarch 0.11.0-15.fc43     copr_base   37.4 KiB
 python3-cython                   x86_64 3.0.12-1.fc43      copr_base   18.5 MiB
 python3-dateutil                 noarch 1:2.8.2-17.fc43    copr_base  876.4 KiB
 python3-docutils                 noarch 0.21.2-2.fc42      fedora       4.9 MiB
 python3-fonttools                x86_64 4.57.0-1.fc43      copr_base   18.2 MiB
 python3-idna                     noarch 3.10-2.fc42        fedora     628.0 KiB
 python3-imagesize                noarch 1.4.1-10.fc43      copr_base   35.4 KiB
 python3-iniconfig                noarch 1.1.1-25.fc43      copr_base   20.7 KiB
 python3-jinja2                   noarch 3.1.6-1.fc43       fedora       2.9 MiB
 python3-kiwisolver               x86_64 1.4.8-2.fc43       copr_base  153.8 KiB
 python3-libs                     x86_64 3.13.3-1.fc43      fedora      39.9 MiB
 python3-markupsafe               x86_64 3.0.2-2.fc43       copr_base   55.9 KiB
 python3-matplotlib               x86_64 3.10.0-3.fc43      copr_base   22.3 MiB
 python3-matplotlib-data          noarch 3.10.0-3.fc43      copr_base  742.7 KiB
 python3-matplotlib-data-fonts    noarch 3.10.0-3.fc43      copr_base    7.9 MiB
 python3-mpmath                   noarch 1.3.0-12.fc43      copr_base    5.1 MiB
 python3-natsort                  noarch 8.4.0-3.fc43       copr_base  252.3 KiB
 python3-netcdf4                  x86_64 1.7.2-3.fc43       copr_base    2.4 MiB
 python3-numpy                    x86_64 1:2.2.5-1.fc43     copr_base   40.3 MiB
 python3-numpy-f2py               x86_64 1:2.2.5-1.fc43     copr_base    2.0 MiB
 python3-olefile                  noarch 0.47-6.fc43        copr_base  339.7 KiB
 python3-packaging                noarch 24.2-3.fc42        fedora     555.7 KiB
 python3-pillow                   x86_64 11.2.1-1.fc43      copr_base    4.0 MiB
 python3-platformdirs             noarch 4.2.2-4.fc43       copr_base  162.1 KiB
 python3-pluggy                   noarch 1.5.0-2.fc43       copr_base  192.9 KiB
 python3-pooch                    noarch 1.8.2-5.fc43       copr_base  621.0 KiB
 python3-pygments                 noarch 2.19.1-1.fc43      fedora      10.8 MiB
 python3-pyparsing                noarch 3.1.2-8.fc42       fedora     996.4 KiB
 python3-requests                 noarch 2.32.3-12.fc43     copr_base  483.4 KiB
 python3-roman-numerals-py        noarch 3.1.0-1.fc43       fedora      38.7 KiB
 python3-rpm-generators           noarch 14-12.fc42         fedora      81.7 KiB
 python3-rpm-macros               noarch 3.13-5.fc43        fedora       6.4 KiB
 python3-scipy                    x86_64 1.14.1-3.fc42      fedora      67.2 MiB
 python3-six                      noarch 1.17.0-2.fc43      copr_base  117.1 KiB
 python3-snowballstemmer          noarch 2.2.0-15.fc42      fedora       1.7 MiB
 python3-sphinx-theme-alabaster   noarch 0.7.16-6.fc41      fedora      41.9 KiB
 python3-sympy                    x86_64 1.13.3-4.fc43      fedora      77.3 MiB
 python3-urllib3                  noarch 2.4.0-1.fc43       copr_base    1.0 MiB
 snappy                           x86_64 1.2.2-1.fc43       fedora      71.8 KiB
 tzdata                           noarch 2025b-1.fc43       fedora       1.6 MiB
 xml-common                       noarch 0.6.3-66.fc42      fedora      78.4 KiB

Transaction Summary:
 Installing:       105 packages

Total size of inbound packages is 114 MiB. Need to download 38 MiB.
After this operation, 511 MiB extra will be used (install 511 MiB, remove 0 B).
[  1/105] python3-devel-0:3.13.3-1.fc43 100% |   0.0   B/s |   0.0   B |  00m00s
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[  2/105] python3-pytest-0:8.3.5-2.fc43 100% |   0.0   B/s |   0.0   B |  00m00s
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[  3/105] python3-scipy-0:1.14.1-3.fc42 100% |   0.0   B/s |   0.0   B |  00m00s
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[  4/105] python3-sympy-0:1.13.3-4.fc43 100% |   0.0   B/s |   0.0   B |  00m00s
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[  5/105] python3-libs-0:3.13.3-1.fc43. 100% |   0.0   B/s |   0.0   B |  00m00s
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[  6/105] python3-packaging-0:24.2-3.fc 100% |   0.0   B/s |   0.0   B |  00m00s
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[  7/105] python3-jinja2-0:3.1.6-1.fc43 100% |   0.0   B/s |   0.0   B |  00m00s
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[  8/105] flexiblas-netlib-0:3.4.5-1.fc 100% |   0.0   B/s |   0.0   B |  00m00s
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[  9/105] libgfortran-0:15.0.1-0.14.fc4 100% |   0.0   B/s |   0.0   B |  00m00s
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[ 10/105] expat-0:2.7.1-1.fc43.x86_64   100% |   0.0   B/s |   0.0   B |  00m00s
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[ 11/105] libb2-0:0.98.1-13.fc42.x86_64 100% |   0.0   B/s |   0.0   B |  00m00s
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[ 12/105] mpdecimal-0:4.0.0-2.fc43.x86_ 100% |   0.0   B/s |   0.0   B |  00m00s
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[ 13/105] tzdata-0:2025b-1.fc43.noarch  100% |   0.0   B/s |   0.0   B |  00m00s
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[ 14/105] flexiblas-0:3.4.5-1.fc43.x86_ 100% |   0.0   B/s |   0.0   B |  00m00s
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[ 15/105] flexiblas-openblas-openmp-0:3 100% |   0.0   B/s |   0.0   B |  00m00s
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[ 16/105] libquadmath-0:15.0.1-0.14.fc4 100% |   0.0   B/s |   0.0   B |  00m00s
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[ 17/105] openblas-openmp-0:0.3.29-1.fc 100% |   0.0   B/s |   0.0   B |  00m00s
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[ 18/105] python3-0:3.13.3-1.fc43.x86_6 100% |   0.0   B/s |   0.0   B |  00m00s
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[ 19/105] python3-requests-0:2.32.3-12. 100% |   0.0   B/s |   0.0   B |  00m00s
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[ 20/105] python3-idna-0:3.10-2.fc42.no 100% |   0.0   B/s |   0.0   B |  00m00s
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[ 21/105] python3-charset-normalizer-0: 100% |   0.0   B/s |   0.0   B |  00m00s
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[ 22/105] python3-iniconfig-0:1.1.1-25. 100% |   0.0   B/s |   0.0   B |  00m00s
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[ 23/105] python3-pluggy-0:1.5.0-2.fc43 100% |   0.0   B/s |   0.0   B |  00m00s
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[ 24/105] freetype-0:2.13.3-2.fc42.x86_ 100% |   0.0   B/s |   0.0   B |  00m00s
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[ 25/105] libpng-2:1.6.47-1.fc43.x86_64 100% |   0.0   B/s |   0.0   B |  00m00s
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[ 26/105] python3-numpy-1:2.2.5-1.fc43. 100% |   0.0   B/s |   0.0   B |  00m00s
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[ 27/105] python3-mpmath-0:1.3.0-12.fc4 100% |   0.0   B/s |   0.0   B |  00m00s
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[ 28/105] python3-numpy-f2py-1:2.2.5-1. 100% |   0.0   B/s |   0.0   B |  00m00s
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[ 29/105] python3-pooch-0:1.8.2-5.fc43. 100% |   0.0   B/s |   0.0   B |  00m00s
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[ 30/105] python-pip-wheel-0:25.0.1-3.f 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 31/105] python3-markupsafe-0:3.0.2-2. 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 32/105] openblas-0:0.3.29-1.fc42.x86_ 100% |   0.0   B/s |   0.0   B |  00m00s
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[ 33/105] harfbuzz-0:11.1.0-1.fc43.x86_ 100% |   0.0   B/s |   0.0   B |  00m00s
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[ 34/105] graphite2-0:1.3.14-18.fc42.x8 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 35/105] python3-platformdirs-0:4.2.2- 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 36/105] python3-pillow-0:11.2.1-1.fc4 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 37/105] libimagequant-0:4.0.3-7.fc42. 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 38/105] libjpeg-turbo-0:3.1.0-2.fc42. 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 39/105] libtiff-0:4.7.0-3.fc42.x86_64 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 40/105] libwebp-0:1.5.0-2.fc42.x86_64 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 41/105] libxcb-0:1.17.0-5.fc42.x86_64 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 42/105] openjpeg-0:2.5.3-6.fc42.x86_6 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 43/105] jbigkit-libs-0:2.1-31.fc42.x8 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 44/105] liblerc-0:4.0.0-8.fc42.x86_64 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 45/105] libXau-0:1.0.12-2.fc42.x86_64 100% |   0.0   B/s |   0.0   B |  00m00s
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[ 46/105] glib2-0:2.84.1-1.fc43.x86_64  100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 47/105] lcms2-0:2.16-5.fc43.x86_64    100% |   0.0   B/s |   0.0   B |  00m00s
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[ 48/105] libraqm-0:0.10.1-2.fc43.x86_6 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 49/105] python3-olefile-0:0.47-6.fc43 100% |   0.0   B/s |   0.0   B |  00m00s
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[ 50/105] fribidi-0:1.0.16-2.fc43.x86_6 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 51/105] python-rpm-macros-0:3.13-5.fc 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 52/105] python3-rpm-generators-0:14-1 100% |   0.0   B/s |   0.0   B |  00m00s
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[ 53/105] python3-rpm-macros-0:3.13-5.f 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 54/105] pyproject-rpm-macros-0:1.18.1 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 55/105] python3-sphinx-autodoc-typehi 100% |   3.0 MiB/s |  52.1 KiB |  00m00s
[ 56/105] python3-sphinx-1:8.2.3-4.fc43 100% | 105.2 MiB/s |   2.6 MiB |  00m00s
[ 57/105] python3-docutils-0:0.21.2-2.f 100% |  43.6 MiB/s |   1.1 MiB |  00m00s
[ 58/105] python3-pygments-0:2.19.1-1.f 100% | 128.5 MiB/s |   2.6 MiB |  00m00s
[ 59/105] python3-boutdata-0:0.2.1-8.fc 100% |   3.1 MiB/s | 147.4 KiB |  00m00s
[ 60/105] python3-roman-numerals-py-0:3 100% |   6.3 MiB/s |  19.3 KiB |  00m00s
[ 61/105] python3-sphinx-theme-alabaste 100% |   7.9 MiB/s |  24.3 KiB |  00m00s
[ 62/105] python3-snowballstemmer-0:2.2 100% |  42.1 MiB/s | 258.7 KiB |  00m00s
[ 63/105] python3-imagesize-0:1.4.1-10. 100% |   1.8 MiB/s |  22.6 KiB |  00m00s
[ 64/105] python3-babel-0:2.17.0-1.fc43 100% | 280.9 MiB/s |   6.7 MiB |  00m00s
[ 65/105] python3-urllib3-0:2.4.0-1.fc4 100% |  14.5 MiB/s | 266.4 KiB |  00m00s
[ 66/105] dejavu-sans-fonts-0:2.37-25.f 100% | 132.6 MiB/s |   1.3 MiB |  00m00s
[ 67/105] python3-matplotlib-0:3.10.0-3 100% | 266.7 MiB/s |   4.8 MiB |  00m00s
[ 68/105] libqhull_r-1:8.0.2-6.fc42.x86 100% |  19.8 MiB/s | 202.6 KiB |  00m00s
[ 69/105] python3-pyparsing-0:3.1.2-8.f 100% |  54.3 MiB/s | 278.0 KiB |  00m00s
[ 70/105] python3-matplotlib-data-0:3.1 100% | 124.6 MiB/s | 510.3 KiB |  00m00s
[ 71/105] fonts-filesystem-1:2.0.5-21.f 100% |   4.2 MiB/s |   8.6 KiB |  00m00s
[ 72/105] python3-natsort-0:8.4.0-3.fc4 100% |  18.3 MiB/s |  75.1 KiB |  00m00s
[ 73/105] python3-matplotlib-data-fonts 100% | 211.3 MiB/s |   2.3 MiB |  00m00s
[ 74/105] python3-boututils-0:0.2.1-8.f 100% |   3.2 MiB/s | 148.8 KiB |  00m00s
[ 75/105] python3-cairo-0:1.25.1-6.fc43 100% |  17.7 MiB/s | 127.1 KiB |  00m00s
[ 76/105] python3-cycler-0:0.11.0-15.fc 100% |   7.2 MiB/s |  22.2 KiB |  00m00s
[ 77/105] python3-contourpy-0:1.3.2-1.f 100% |  53.6 MiB/s | 274.2 KiB |  00m00s
[ 78/105] python3-dateutil-1:2.8.2-17.f 100% |  85.4 MiB/s | 349.7 KiB |  00m00s
[ 79/105] python3-kiwisolver-0:1.4.8-2. 100% |  33.5 MiB/s |  68.5 KiB |  00m00s
[ 80/105] python3-six-0:1.17.0-2.fc43.n 100% |  10.3 MiB/s |  42.1 KiB |  00m00s
[ 81/105] cairo-0:1.18.2-3.fc43.x86_64  100% | 142.5 MiB/s | 729.8 KiB |  00m00s
[ 82/105] python3-fonttools-0:4.57.0-1. 100% | 194.7 MiB/s |   2.9 MiB |  00m00s
[ 83/105] libX11-0:1.8.11-1.fc42.x86_64 100% |  71.1 MiB/s | 655.3 KiB |  00m00s
[ 84/105] libXext-0:1.3.6-3.fc42.x86_64 100% |   6.4 MiB/s |  39.3 KiB |  00m00s
[ 85/105] libXrender-0:0.9.12-2.fc42.x8 100% |   8.8 MiB/s |  26.9 KiB |  00m00s
[ 86/105] libX11-common-0:1.8.11-1.fc42 100% |  34.4 MiB/s | 176.1 KiB |  00m00s
[ 87/105] python3-netcdf4-0:1.7.2-3.fc4 100% | 112.2 MiB/s | 689.3 KiB |  00m00s
[ 88/105] blosc-0:1.21.6-6.fc42.x86_64  100% |  19.0 MiB/s |  58.4 KiB |  00m00s
[ 89/105] libaec-0:1.1.3-2.fc42.x86_64  100% |   4.5 MiB/s |  37.3 KiB |  00m00s
[ 90/105] hdf5-0:1.14.6-3.fc43.x86_64   100% | 100.5 MiB/s |   2.0 MiB |  00m00s
[ 91/105] libzip-0:1.11.3-1.fc42.x86_64 100% |   8.6 MiB/s |  70.3 KiB |  00m00s
[ 92/105] netcdf-0:4.9.2-13.fc43.x86_64 100% |  29.8 MiB/s | 823.2 KiB |  00m00s
[ 93/105] fontconfig-0:2.16.2-1.fc43.x8 100% |  84.4 MiB/s | 259.2 KiB |  00m00s
[ 94/105] snappy-0:1.2.2-1.fc43.x86_64  100% |   9.7 MiB/s |  39.7 KiB |  00m00s
[ 95/105] xml-common-0:0.6.3-66.fc42.no 100% |  10.2 MiB/s |  31.2 KiB |  00m00s
[ 96/105] default-fonts-core-sans-0:4.2 100% |   5.1 MiB/s |  31.3 KiB |  00m00s
[ 97/105] google-noto-sans-vf-fonts-0:2 100% |  85.7 MiB/s | 614.5 KiB |  00m00s
[ 98/105] pixman-0:0.44.2-2.fc43.x86_64 100% |  90.5 MiB/s | 277.9 KiB |  00m00s
[ 99/105] google-noto-fonts-common-0:20 100% |   2.8 MiB/s |  17.2 KiB |  00m00s
[100/105] python3-certifi-0:2024.08.30- 100% |  14.9 MiB/s |  15.3 KiB |  00m00s
[101/105] abattis-cantarell-vf-fonts-0: 100% |  39.3 MiB/s | 120.8 KiB |  00m00s
[102/105] python3-cftime-0:1.6.4-4.fc43 100% |  76.8 MiB/s | 236.0 KiB |  00m00s
[103/105] hdf-libs-0:4.3.0-3.fc42.x86_6 100% |  71.8 MiB/s | 294.1 KiB |  00m00s
[104/105] libtirpc-0:1.3.6-1.rc3.fc42.2 100% |  23.3 MiB/s |  95.5 KiB |  00m00s
[105/105] python3-cython-0:3.0.12-1.fc4 100% | 283.5 MiB/s |   4.0 MiB |  00m00s
--------------------------------------------------------------------------------
[105/105] Total                         100% |  97.8 MiB/s |  38.4 MiB |  00m00s
Running transaction
[  1/107] Verify package files          100% | 492.0   B/s | 105.0   B |  00m00s
[  2/107] Prepare transaction           100% | 882.0   B/s | 105.0   B |  00m00s
[  3/107] Installing fonts-filesystem-1 100% | 769.5 KiB/s | 788.0   B |  00m00s
[  4/107] Installing libgfortran-0:15.0 100% | 368.0 MiB/s |   3.3 MiB |  00m00s
[  5/107] Installing python-rpm-macros- 100% |   0.0   B/s |  22.8 KiB |  00m00s
[  6/107] Installing libaec-0:1.1.3-2.f 100% |  98.0 MiB/s | 100.3 KiB |  00m00s
[  7/107] Installing libjpeg-turbo-0:3. 100% | 393.0 MiB/s | 804.9 KiB |  00m00s
[  8/107] Installing python3-rpm-macros 100% |   0.0   B/s |   6.7 KiB |  00m00s
[  9/107] Installing libwebp-0:1.5.0-2. 100% | 309.8 MiB/s | 951.8 KiB |  00m00s
[ 10/107] Installing libpng-2:1.6.47-1. 100% |  46.7 MiB/s | 239.0 KiB |  00m00s
[ 11/107] Installing tzdata-0:2025b-1.f 100% |  54.0 MiB/s |   1.9 MiB |  00m00s
[ 12/107] Installing pyproject-rpm-macr 100% | 113.8 MiB/s | 116.5 KiB |  00m00s
[ 13/107] Installing hdf5-0:1.14.6-3.fc 100% | 178.3 MiB/s |   6.4 MiB |  00m00s
[ 14/107] Installing dejavu-sans-fonts- 100% | 367.2 MiB/s |   5.5 MiB |  00m00s
[ 15/107] Installing abattis-cantarell- 100% | 189.9 MiB/s | 194.4 KiB |  00m00s
[ 16/107] Installing python3-matplotlib 100% | 185.6 MiB/s | 760.1 KiB |  00m00s
[ 17/107] Installing python3-matplotlib 100% | 359.6 MiB/s |   7.9 MiB |  00m00s
[ 18/107] Installing libtirpc-0:1.3.6-1 100% | 196.0 MiB/s | 200.7 KiB |  00m00s
[ 19/107] Installing hdf-libs-0:4.3.0-3 100% | 336.1 MiB/s | 688.3 KiB |  00m00s
[ 20/107] Installing fribidi-0:1.0.16-2 100% |  12.6 MiB/s | 192.8 KiB |  00m00s
[ 21/107] Installing lcms2-0:2.16-5.fc4 100% | 212.6 MiB/s | 435.4 KiB |  00m00s
[ 22/107] Installing pixman-0:0.44.2-2. 100% | 327.8 MiB/s | 671.3 KiB |  00m00s
[ 23/107] Installing google-noto-fonts- 100% |   0.0   B/s |  18.5 KiB |  00m00s
[ 24/107] Installing google-noto-sans-v 100% | 278.3 MiB/s |   1.4 MiB |  00m00s
[ 25/107] Installing default-fonts-core 100% |   2.5 MiB/s |  18.2 KiB |  00m00s
[ 26/107] Installing xml-common-0:0.6.3 100% |  39.6 MiB/s |  81.1 KiB |  00m00s
[ 27/107] Installing glib2-0:2.84.1-1.f 100% | 257.9 MiB/s |  14.7 MiB |  00m00s
[ 28/107] Installing snappy-0:1.2.2-1.f 100% |  71.8 MiB/s |  73.5 KiB |  00m00s
[ 29/107] Installing blosc-0:1.21.6-6.f 100% | 126.0 MiB/s | 129.0 KiB |  00m00s
[ 30/107] Installing libzip-0:1.11.3-1. 100% | 133.7 MiB/s | 137.0 KiB |  00m00s
[ 31/107] Installing netcdf-0:4.9.2-13. 100% | 106.9 MiB/s |   2.4 MiB |  00m00s
[ 32/107] Installing libX11-common-0:1. 100% | 132.0 MiB/s |   1.2 MiB |  00m00s
[ 33/107] Installing libXau-0:1.0.12-2. 100% |  76.6 MiB/s |  78.5 KiB |  00m00s
[ 34/107] Installing libxcb-0:1.17.0-5. 100% | 216.1 MiB/s |   1.1 MiB |  00m00s
[ 35/107] Installing libX11-0:1.8.11-1. 100% | 321.4 MiB/s |   1.3 MiB |  00m00s
[ 36/107] Installing libXext-0:1.3.6-3. 100% |  89.1 MiB/s |  91.2 KiB |  00m00s
[ 37/107] Installing libXrender-0:0.9.1 100% |  50.1 MiB/s |  51.3 KiB |  00m00s
[ 38/107] Installing liblerc-0:4.0.0-8. 100% | 311.3 MiB/s | 637.6 KiB |  00m00s
[ 39/107] Installing jbigkit-libs-0:2.1 100% | 120.5 MiB/s | 123.4 KiB |  00m00s
[ 40/107] Installing libtiff-0:4.7.0-3. 100% | 303.4 MiB/s | 621.3 KiB |  00m00s
[ 41/107] Installing openjpeg-0:2.5.3-6 100% | 221.6 MiB/s | 453.8 KiB |  00m00s
[ 42/107] Installing libimagequant-0:4. 100% | 229.8 MiB/s | 705.9 KiB |  00m00s
[ 43/107] Installing graphite2-0:1.3.14 100% |  12.9 MiB/s | 197.9 KiB |  00m00s
[ 44/107] Installing freetype-0:2.13.3- 100% | 279.9 MiB/s | 859.9 KiB |  00m00s
[ 45/107] Installing harfbuzz-0:11.1.0- 100% | 348.4 MiB/s |   2.8 MiB |  00m00s
[ 46/107] Installing libraqm-0:0.10.1-2 100% |  29.0 MiB/s |  29.7 KiB |  00m00s
[ 47/107] Installing fontconfig-0:2.16. 100% | 748.6 KiB/s | 780.1 KiB |  00m01s
[ 48/107] Installing cairo-0:1.18.2-3.f 100% | 295.2 MiB/s |   1.8 MiB |  00m00s
[ 49/107] Installing openblas-0:0.3.29- 100% | 110.8 MiB/s | 113.5 KiB |  00m00s
[ 50/107] Installing openblas-openmp-0: 100% | 560.5 MiB/s |  43.7 MiB |  00m00s
[ 51/107] Installing python-pip-wheel-0 100% | 631.3 MiB/s |   1.3 MiB |  00m00s
[ 52/107] Installing libqhull_r-1:8.0.2 100% | 236.4 MiB/s | 484.1 KiB |  00m00s
[ 53/107] Installing libquadmath-0:15.0 100% | 311.7 MiB/s | 319.2 KiB |  00m00s
[ 54/107] Installing flexiblas-netlib-0 100% | 248.5 MiB/s |  10.9 MiB |  00m00s
[ 55/107] Installing flexiblas-0:3.4.5- 100% |  50.4 MiB/s |  51.6 KiB |  00m00s
[ 56/107] Installing flexiblas-openblas 100% |  39.1 MiB/s |  40.1 KiB |  00m00s
[ 57/107] Installing mpdecimal-0:4.0.0- 100% | 213.2 MiB/s | 218.4 KiB |  00m00s
[ 58/107] Installing libb2-0:0.98.1-13. 100% |  46.1 MiB/s |  47.2 KiB |  00m00s
[ 59/107] Installing expat-0:2.7.1-1.fc 100% |  14.5 MiB/s | 296.3 KiB |  00m00s
[ 60/107] Installing python3-libs-0:3.1 100% | 298.4 MiB/s |  40.3 MiB |  00m00s
[ 61/107] Installing python3-0:3.13.3-1 100% |   2.0 MiB/s |  30.5 KiB |  00m00s
[ 62/107] Installing python3-numpy-f2py 100% |  76.7 MiB/s |   2.1 MiB |  00m00s
[ 63/107] Installing python3-numpy-1:2. 100% | 298.2 MiB/s |  40.6 MiB |  00m00s
[ 64/107] Installing python3-packaging- 100% | 138.7 MiB/s | 568.0 KiB |  00m00s
[ 65/107] Installing python3-idna-0:3.1 100% | 206.5 MiB/s | 634.3 KiB |  00m00s
[ 66/107] Installing python3-urllib3-0: 100% | 204.2 MiB/s |   1.0 MiB |  00m00s
[ 67/107] Installing python3-rpm-genera 100% |  81.0 MiB/s |  82.9 KiB |  00m00s
[ 68/107] Installing python3-contourpy- 100% | 207.9 MiB/s | 851.6 KiB |  00m00s
[ 69/107] Installing python3-cftime-0:1 100% | 157.6 MiB/s | 645.4 KiB |  00m00s
[ 70/107] Installing python3-docutils-0 100% | 131.3 MiB/s |   5.0 MiB |  00m00s
[ 71/107] Installing python3-pygments-0 100% | 193.6 MiB/s |  11.0 MiB |  00m00s
[ 72/107] Installing python3-roman-nume 100% |  40.7 MiB/s |  41.6 KiB |  00m00s
[ 73/107] Installing python3-snowballst 100% | 286.9 MiB/s |   1.7 MiB |  00m00s
[ 74/107] Installing python3-sphinx-the 100% |  15.1 MiB/s |  46.4 KiB |  00m00s
[ 75/107] Installing python3-babel-0:2. 100% | 304.1 MiB/s |  30.4 MiB |  00m00s
[ 76/107] Installing python3-imagesize- 100% |  37.6 MiB/s |  38.5 KiB |  00m00s
[ 77/107] Installing python3-charset-no 100% |  18.9 MiB/s | 329.8 KiB |  00m00s
[ 78/107] Installing python3-requests-0 100% | 161.4 MiB/s | 495.7 KiB |  00m00s
[ 79/107] Installing python3-iniconfig- 100% |  23.3 MiB/s |  23.9 KiB |  00m00s
[ 80/107] Installing python3-pluggy-0:1 100% |  97.3 MiB/s | 199.3 KiB |  00m00s
[ 81/107] Installing python3-pyparsing- 100% | 327.1 MiB/s |   1.0 MiB |  00m00s
[ 82/107] Installing python3-natsort-0: 100% |  16.0 MiB/s | 261.5 KiB |  00m00s
[ 83/107] Installing python3-mpmath-0:1 100% | 191.9 MiB/s |   5.2 MiB |  00m00s
[ 84/107] Installing python3-sympy-0:1. 100% | 260.9 MiB/s |  78.3 MiB |  00m00s
[ 85/107] Installing python3-markupsafe 100% |  29.4 MiB/s |  60.1 KiB |  00m00s
[ 86/107] Installing python3-jinja2-0:3 100% | 291.3 MiB/s |   2.9 MiB |  00m00s
[ 87/107] Installing python3-sphinx-1:8 100% | 168.2 MiB/s |  11.6 MiB |  00m00s
[ 88/107] Installing python3-platformdi 100% |  82.3 MiB/s | 168.6 KiB |  00m00s
[ 89/107] Installing python3-pooch-0:1. 100% |  69.0 MiB/s | 636.1 KiB |  00m00s
[ 90/107] Installing python3-scipy-0:1. 100% | 334.5 MiB/s |  67.6 MiB |  00m00s
[ 91/107] Installing python3-cairo-0:1. 100% | 244.7 MiB/s | 501.2 KiB |  00m00s
[ 92/107] Installing python3-cycler-0:0 100% |  19.4 MiB/s |  39.8 KiB |  00m00s
[ 93/107] Installing python3-fonttools- 100% | 306.1 MiB/s |  18.4 MiB |  00m00s
[ 94/107] Installing python3-kiwisolver 100% |  77.1 MiB/s | 157.9 KiB |  00m00s
[ 95/107] Installing python3-six-0:1.17 100% | 116.6 MiB/s | 119.4 KiB |  00m00s
[ 96/107] Installing python3-dateutil-1 100% | 217.3 MiB/s | 890.1 KiB |  00m00s
[ 97/107] Installing python3-olefile-0: 100% | 167.5 MiB/s | 343.0 KiB |  00m00s
[ 98/107] Installing python3-pillow-0:1 100% | 253.2 MiB/s |   4.1 MiB |  00m00s
[ 99/107] Installing python3-matplotlib 100% | 303.3 MiB/s |  22.4 MiB |  00m00s
[100/107] Installing python3-certifi-0: 100% |   5.2 MiB/s |  10.7 KiB |  00m00s
[101/107] Installing python3-cython-0:3 100% | 248.0 MiB/s |  18.6 MiB |  00m00s
[102/107] Installing python3-netcdf4-0: 100% | 307.2 MiB/s |   2.5 MiB |  00m00s
[103/107] Installing python3-boututils- 100% | 111.7 MiB/s | 457.4 KiB |  00m00s
[104/107] Installing python3-boutdata-0 100% |  32.0 MiB/s | 557.4 KiB |  00m00s
[105/107] Installing python3-sphinx-aut 100% |  40.2 MiB/s | 123.6 KiB |  00m00s
[106/107] Installing python3-pytest-0:8 100% | 315.7 MiB/s |  21.2 MiB |  00m00s
[107/107] Installing python3-devel-0:3. 100% |  14.2 MiB/s |   1.8 MiB |  00m00s
Warning: skipped OpenPGP checks for 46 packages from repository: copr_base
Complete!
Finish: build setup for python-xbout-0.3.6-5.fc43.src.rpm
Start: rpmbuild python-xbout-0.3.6-5.fc43.src.rpm
Building target platforms: x86_64
Building for target x86_64
setting SOURCE_DATE_EPOCH=1737158400
Executing(%mkbuilddir): /bin/sh -e /var/tmp/rpm-tmp.TxZX68
Executing(%prep): /bin/sh -e /var/tmp/rpm-tmp.MYpEdN
+ 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.mwSHr0
+ 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=py313
+ 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-0.3.6-5.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-0.3.6-5.fc43.x86_64-pyproject-buildrequires
+ rm -rfv '*.dist-info/'
+ RPM_EC=0
++ jobs -p
+ exit 0
Wrote: /builddir/build/SRPMS/python-xbout-0.3.6-5.fc43.buildreqs.nosrc.rpm
INFO: Going to install missing dynamic buildrequires
Updating and loading repositories:
 fedora                                 100% |  34.0 KiB/s |  11.6 KiB |  00m00s
 Copr repository                        100% |  90.4 KiB/s |   1.5 KiB |  00m00s
Repositories loaded.
Package "pyproject-rpm-macros-1.18.1-1.fc43.noarch" is already installed.
Package "python3-boutdata-0.2.1-8.fc43.noarch" is already installed.
Package "python3-devel-3.13.3-1.fc43.x86_64" is already installed.
Package "python3-sphinx-autodoc-typehints-3.1.0-1.fc43.noarch" is already installed.
Package "python3-packaging-24.2-3.fc42.noarch" is already installed.
Package "python3-pytest-8.3.5-2.fc43.noarch" is already installed.
Package "python3-sphinx-1:8.2.3-4.fc43.noarch" is already installed.

Package                      Arch   Version         Repository      Size
Installing:
 python3-pip                 noarch 25.0.1-3.fc43   copr_base   11.6 MiB
 python3-setuptools          noarch 78.1.1-1.fc43   copr_base    8.6 MiB
 python3-setuptools_scm      noarch 8.2.1-1.fc43    copr_base  322.3 KiB
 python3-setuptools_scm+toml noarch 8.2.1-1.fc43    copr_base    9.7 KiB
 python3-wheel               noarch 1:0.45.1-6.fc43 copr_base  541.9 KiB

Transaction Summary:
 Installing:         5 packages

Total size of inbound packages is 5 MiB. Need to download 160 KiB.
After this operation, 21 MiB extra will be used (install 21 MiB, remove 0 B).
[1/5] python3-pip-0:25.0.1-3.fc43.noarc 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[2/5] python3-setuptools-0:78.1.1-1.fc4 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[3/5] python3-setuptools_scm-0:8.2.1-1. 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[4/5] python3-setuptools_scm+toml-0:8.2 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[5/5] python3-wheel-1:0.45.1-6.fc43.noa 100% |   9.8 MiB/s | 160.4 KiB |  00m00s
--------------------------------------------------------------------------------
[5/5] Total                             100% |   7.5 MiB/s | 160.4 KiB |  00m00s
Running transaction
[1/7] Verify package files              100% | 454.0   B/s |   5.0   B |  00m00s
[2/7] Prepare transaction               100% | 151.0   B/s |   5.0   B |  00m00s
[3/7] Installing python3-setuptools-0:7 100% | 194.8 MiB/s |   8.8 MiB |  00m00s
[4/7] Installing python3-setuptools_scm 100% | 111.4 MiB/s | 342.3 KiB |  00m00s
[5/7] Installing python3-setuptools_scm 100% |   0.0   B/s | 124.0   B |  00m00s
[6/7] Installing python3-wheel-1:0.45.1 100% |  26.1 MiB/s | 562.2 KiB |  00m00s
[7/7] Installing python3-pip-0:25.0.1-3 100% | 127.4 MiB/s |  11.8 MiB |  00m00s
Warning: skipped OpenPGP checks for 5 packages from repository: copr_base
Complete!
Building target platforms: x86_64
Building for target x86_64
setting SOURCE_DATE_EPOCH=1737158400
Executing(%generate_buildrequires): /bin/sh -e /var/tmp/rpm-tmp.gKRCkV
+ 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=py313
+ 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-0.3.6-5.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 8.2.1)
   (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/python3.13/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/python3.13/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/python3.13/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/python3.13/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/python3.13/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/python3.13/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/python3.13/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/python3.13/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 0.2.1)
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 3.10.0)
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 11.2.1)
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-0.3.6-5.fc43.x86_64-pyproject-buildrequires
+ rm -rfv xbout-0.3.6.dist-info/
removed 'xbout-0.3.6.dist-info/top_level.txt'
removed 'xbout-0.3.6.dist-info/METADATA'
removed 'xbout-0.3.6.dist-info/licenses/LICENSE'
removed directory 'xbout-0.3.6.dist-info/licenses'
removed directory 'xbout-0.3.6.dist-info/'
+ RPM_EC=0
++ jobs -p
+ exit 0
Wrote: /builddir/build/SRPMS/python-xbout-0.3.6-5.fc43.buildreqs.nosrc.rpm
INFO: Going to install missing dynamic buildrequires
Updating and loading repositories:
 fedora                                 100% |  35.6 KiB/s |  11.6 KiB |  00m00s
 Copr repository                        100% |  69.9 KiB/s |   1.5 KiB |  00m00s
 Copr repository                        100% |  23.4 MiB/s |   4.1 MiB |  00m00s
Repositories loaded.
Package "pyproject-rpm-macros-1.18.1-1.fc43.noarch" is already installed.
Package "python3-boutdata-0.2.1-8.fc43.noarch" is already installed.
Package "python3-devel-3.13.3-1.fc43.x86_64" is already installed.
Package "python3-sphinx-autodoc-typehints-3.1.0-1.fc43.noarch" is already installed.
Package "python3-boutdata-0.2.1-8.fc43.noarch" is already installed.
Package "python3-natsort-8.4.0-3.fc43.noarch" is already installed.
Package "python3-netcdf4-1.7.2-3.fc43.x86_64" is already installed.
Package "python3-packaging-24.2-3.fc42.noarch" is already installed.
Package "python3-pillow-11.2.1-1.fc43.x86_64" is already installed.
Package "python3-pip-25.0.1-3.fc43.noarch" is already installed.
Package "python3-pytest-8.3.5-2.fc43.noarch" is already installed.
Package "python3-setuptools-78.1.1-1.fc43.noarch" is already installed.
Package "python3-setuptools_scm-8.2.1-1.fc43.noarch" is already installed.
Package "python3-setuptools_scm+toml-8.2.1-1.fc43.noarch" is already installed.
Package "python3-sphinx-1:8.2.3-4.fc43.noarch" is already installed.
Package "python3-wheel-1:0.45.1-6.fc43.noarch" is already installed.

Package              Arch   Version                Repository      Size
Installing:
 python3-animatplot  noarch 0.4.4-3.fc43           copr_base  114.1 KiB
 python3-dask        noarch 2024.12.1-2.fc42       fedora      17.3 MiB
 python3-dask+array  noarch 2024.12.1-2.fc42       fedora       6.8 KiB
 python3-gelidum     noarch 0.7.0-6.fc43           copr_base  111.7 KiB
 python3-xarray      noarch 2025.1.1-3.fc42        fedora      18.2 MiB
Installing dependencies:
 libyaml             x86_64 0.2.5-16.fc42          fedora     134.7 KiB
 python3-click       noarch 8.1.7-7.fc43           copr_base    1.0 MiB
 python3-cloudpickle noarch 3.1.1-2.fc42           fedora     128.1 KiB
 python3-fsspec      noarch 2025.3.2-1.fc43        copr_base    1.8 MiB
 python3-locket      noarch 1.0.0-12.fc43          copr_base   20.8 KiB
 python3-pandas      x86_64 2.2.3-1.fc42~bootstrap fedora      42.2 MiB
 python3-partd       noarch 1.4.2-3.fc42           fedora     163.3 KiB
 python3-pytz        noarch 2025.2-1.fc43          fedora     204.7 KiB
 python3-pyyaml      x86_64 6.0.2-2.fc42           fedora     781.0 KiB
 python3-toolz       noarch 1.0.0-2.fc43           copr_base  606.0 KiB

Transaction Summary:
 Installing:        15 packages

Total size of inbound packages is 15 MiB. Need to download 15 MiB.
After this operation, 83 MiB extra will be used (install 83 MiB, remove 0 B).
[ 1/15] python3-pyyaml-0:6.0.2-2.fc42.x 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 2/15] libyaml-0:0.2.5-16.fc42.x86_64  100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 3/15] python3-fsspec-0:2025.3.2-1.fc4 100% |   0.0   B/s |   0.0   B |  00m00s
>>> Already downloaded                                                          
[ 4/15] python3-dask+array-0:2024.12.1- 100% | 889.6 KiB/s |  12.5 KiB |  00m00s
[ 5/15] python3-dask-0:2024.12.1-2.fc42 100% | 113.5 MiB/s |   3.2 MiB |  00m00s
[ 6/15] python3-xarray-0:2025.1.1-3.fc4 100% |  40.5 MiB/s |   2.9 MiB |  00m00s
[ 7/15] python3-animatplot-0:0.4.4-3.fc 100% | 838.9 KiB/s |  47.8 KiB |  00m00s
[ 8/15] python3-partd-0:1.4.2-3.fc42.no 100% |  30.7 MiB/s |  62.9 KiB |  00m00s
[ 9/15] python3-cloudpickle-0:3.1.1-2.f 100% |  11.6 MiB/s |  47.5 KiB |  00m00s
[10/15] python3-pytz-0:2025.2-1.fc43.no 100% |  30.2 MiB/s |  61.8 KiB |  00m00s
[11/15] python3-gelidum-0:0.7.0-6.fc43. 100% | 948.2 KiB/s |  46.5 KiB |  00m00s
[12/15] python3-locket-0:1.0.0-12.fc43. 100% |   9.0 MiB/s |  18.5 KiB |  00m00s
[13/15] python3-toolz-0:1.0.0-2.fc43.no 100% |  25.6 MiB/s | 157.0 KiB |  00m00s
[14/15] python3-click-0:8.1.7-7.fc43.no 100% |  45.6 MiB/s | 233.5 KiB |  00m00s
[15/15] python3-pandas-0:2.2.3-1.fc42~b 100% | 221.5 MiB/s |   8.0 MiB |  00m00s
--------------------------------------------------------------------------------
[15/15] Total                           100% |  62.8 MiB/s |  14.7 MiB |  00m00s
Running transaction
[ 1/17] Verify package files            100% | 600.0   B/s |  15.0   B |  00m00s
[ 2/17] Prepare transaction             100% | 294.0   B/s |  15.0   B |  00m00s
[ 3/17] Installing python3-toolz-0:1.0. 100% | 122.1 MiB/s | 625.4 KiB |  00m00s
[ 4/17] Installing python3-fsspec-0:202 100% | 230.0 MiB/s |   1.8 MiB |  00m00s
[ 5/17] Installing python3-click-0:8.1. 100% | 264.9 MiB/s |   1.1 MiB |  00m00s
[ 6/17] Installing python3-locket-0:1.0 100% |  22.7 MiB/s |  23.2 KiB |  00m00s
[ 7/17] Installing python3-partd-0:1.4. 100% |  84.3 MiB/s | 172.6 KiB |  00m00s
[ 8/17] Installing python3-pytz-0:2025. 100% |  51.2 MiB/s | 209.9 KiB |  00m00s
[ 9/17] Installing python3-pandas-0:2.2 100% | 339.5 MiB/s |  42.4 MiB |  00m00s
[10/17] Installing libyaml-0:0.2.5-16.f 100% | 132.9 MiB/s | 136.0 KiB |  00m00s
[11/17] Installing python3-pyyaml-0:6.0 100% | 194.0 MiB/s | 794.8 KiB |  00m00s
[12/17] Installing python3-cloudpickle- 100% |  42.9 MiB/s | 131.7 KiB |  00m00s
[13/17] Installing python3-dask-0:2024. 100% | 245.3 MiB/s |  17.4 MiB |  00m00s
[14/17] Installing python3-dask+array-0 100% |  60.5 KiB/s | 124.0   B |  00m00s
[15/17] Installing python3-xarray-0:202 100% | 380.7 MiB/s |  18.3 MiB |  00m00s
[16/17] Installing python3-gelidum-0:0. 100% |  60.4 MiB/s | 123.7 KiB |  00m00s
[17/17] Installing python3-animatplot-0 100% |   5.3 MiB/s | 125.7 KiB |  00m00s
Warning: skipped OpenPGP checks for 6 packages from repository: copr_base
Complete!
Building target platforms: x86_64
Building for target x86_64
setting SOURCE_DATE_EPOCH=1737158400
Executing(%generate_buildrequires): /bin/sh -e /var/tmp/rpm-tmp.OK8CoM
+ 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=py313
+ 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-0.3.6-5.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 8.2.1)
   (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/python3.13/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/python3.13/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/python3.13/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/python3.13/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/python3.13/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/python3.13/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/python3.13/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/python3.13/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 2025.1.1)
Handling boutdata>=0.1.4 from hook generated metadata: Requires-Dist (xbout)
Requirement satisfied: boutdata>=0.1.4
   (installed: boutdata 0.2.1)
Handling dask[array]>=2.10.0 from hook generated metadata: Requires-Dist (xbout)
Requirement satisfied: dask[array]>=2.10.0
   (installed: dask 2024.12.1)
   (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 3.10.0)
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 11.2.1)
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-0.3.6-5.fc43.x86_64-pyproject-buildrequires
+ rm -rfv xbout-0.3.6.dist-info/
removed 'xbout-0.3.6.dist-info/top_level.txt'
removed 'xbout-0.3.6.dist-info/METADATA'
removed 'xbout-0.3.6.dist-info/licenses/LICENSE'
removed directory 'xbout-0.3.6.dist-info/licenses'
removed directory 'xbout-0.3.6.dist-info/'
+ RPM_EC=0
++ jobs -p
+ exit 0
Wrote: /builddir/build/SRPMS/python-xbout-0.3.6-5.fc43.buildreqs.nosrc.rpm
INFO: Going to install missing dynamic buildrequires
Updating and loading repositories:
 fedora                                 100% | 321.8 KiB/s |  11.6 KiB |  00m00s
 Copr repository                        100% | 102.5 KiB/s |   1.5 KiB |  00m00s
Repositories loaded.
Nothing to do.
Package "pyproject-rpm-macros-1.18.1-1.fc43.noarch" is already installed.
Package "python3-boutdata-0.2.1-8.fc43.noarch" is already installed.
Package "python3-devel-3.13.3-1.fc43.x86_64" is already installed.
Package "python3-sphinx-autodoc-typehints-3.1.0-1.fc43.noarch" is already installed.
Package "python3-animatplot-0.4.4-3.fc43.noarch" is already installed.
Package "python3-boutdata-0.2.1-8.fc43.noarch" is already installed.
Package "python3-dask-2024.12.1-2.fc42.noarch" is already installed.
Package "python3-dask+array-2024.12.1-2.fc42.noarch" is already installed.
Package "python3-gelidum-0.7.0-6.fc43.noarch" is already installed.
Package "python3-natsort-8.4.0-3.fc43.noarch" is already installed.
Package "python3-netcdf4-1.7.2-3.fc43.x86_64" is already installed.
Package "python3-packaging-24.2-3.fc42.noarch" is already installed.
Package "python3-pillow-11.2.1-1.fc43.x86_64" is already installed.
Package "python3-pip-25.0.1-3.fc43.noarch" is already installed.
Package "python3-pytest-8.3.5-2.fc43.noarch" is already installed.
Package "python3-setuptools-78.1.1-1.fc43.noarch" is already installed.
Package "python3-setuptools_scm-8.2.1-1.fc43.noarch" is already installed.
Package "python3-setuptools_scm+toml-8.2.1-1.fc43.noarch" is already installed.
Package "python3-sphinx-1:8.2.3-4.fc43.noarch" is already installed.
Package "python3-wheel-1:0.45.1-6.fc43.noarch" is already installed.
Package "python3-xarray-2025.1.1-3.fc42.noarch" is already installed.

Building target platforms: x86_64
Building for target x86_64
setting SOURCE_DATE_EPOCH=1737158400
Executing(%generate_buildrequires): /bin/sh -e /var/tmp/rpm-tmp.zAiG6G
+ 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=py313
+ 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-0.3.6-5.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 8.2.1)
   (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/python3.13/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/python3.13/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/python3.13/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/python3.13/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/python3.13/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/python3.13/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/python3.13/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/python3.13/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 2025.1.1)
Handling boutdata>=0.1.4 from hook generated metadata: Requires-Dist (xbout)
Requirement satisfied: boutdata>=0.1.4
   (installed: boutdata 0.2.1)
Handling dask[array]>=2.10.0 from hook generated metadata: Requires-Dist (xbout)
Requirement satisfied: dask[array]>=2.10.0
   (installed: dask 2024.12.1)
   (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 3.10.0)
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 11.2.1)
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-0.3.6-5.fc43.x86_64-pyproject-buildrequires
+ rm -rfv xbout-0.3.6.dist-info/
removed 'xbout-0.3.6.dist-info/top_level.txt'
removed 'xbout-0.3.6.dist-info/METADATA'
removed 'xbout-0.3.6.dist-info/licenses/LICENSE'
removed directory 'xbout-0.3.6.dist-info/licenses'
removed directory 'xbout-0.3.6.dist-info/'
+ RPM_EC=0
++ jobs -p
+ exit 0
Executing(%build): /bin/sh -e /var/tmp/rpm-tmp.1sNNXt
+ 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/python3.13/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/python3.13/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/python3.13/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/python3.13/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-3j897bxd/xbout.egg-info
  writing /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/.pyproject-builddir/pip-modern-metadata-3j897bxd/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-3j897bxd/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-3j897bxd/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-3j897bxd/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-3j897bxd/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-3j897bxd/xbout.egg-info/SOURCES.txt'
  creating '/builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/.pyproject-builddir/pip-modern-metadata-3j897bxd/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/python3.13/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/python3.13/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/python3.13/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/python3.13/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/__init__.py -> build/lib/xbout
  copying xbout/_version.py -> build/lib/xbout
  copying xbout/boutdataarray.py -> build/lib/xbout
  copying xbout/boutdataset.py -> build/lib/xbout
  copying xbout/conftest.py -> build/lib/xbout
  copying xbout/fastoutput.py -> build/lib/xbout
  copying xbout/geometries.py -> build/lib/xbout
  copying xbout/load.py -> build/lib/xbout
  copying xbout/region.py -> build/lib/xbout
  copying xbout/utils.py -> build/lib/xbout
  creating build/lib/xbout/calc
  copying xbout/calc/__init__.py -> build/lib/xbout/calc
  copying xbout/calc/turbulence.py -> build/lib/xbout/calc
  creating build/lib/xbout/plotting
  copying xbout/plotting/__init__.py -> build/lib/xbout/plotting
  copying xbout/plotting/animate.py -> build/lib/xbout/plotting
  copying xbout/plotting/plotfuncs.py -> build/lib/xbout/plotting
  copying xbout/plotting/utils.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/python3.13/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/python3.13/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/python3.13/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/python3.13/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/python3.13/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
  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
  creating build/bdist.linux-x86_64/wheel/xbout/calc
  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
  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
  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/tests
  copying build/lib/xbout/tests/__init__.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/test_against_collect.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_boutdataarray.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_fastoutput.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_grid.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_load.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_region.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/utils_for_tests.py -> build/bdist.linux-x86_64/wheel/./xbout/tests
  creating build/bdist.linux-x86_64/wheel/xbout/tests/data
  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
  creating 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
  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/README.md -> build/bdist.linux-x86_64/wheel/./xbout/tests/data/restart
  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
  running install_egg_info
  Copying xbout.egg-info to build/bdist.linux-x86_64/wheel/./xbout-0.3.6-py3.13.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-csfqpqpj/.tmp-kfy71twp/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=c75ba861ba0d303bcfbc259095590a5a6b92062223760d6e93035c41d5443a4f
  Stored in directory: /builddir/.cache/pip/wheels/c6/1a/be/25155f390e63f3ebd7eded5b4709779bc49b302869cf0ef5d8
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 ...
loading intersphinx inventory 'scipy' from https://docs.scipy.org/doc/scipy/objects.inv ...
loading intersphinx inventory 'xarray' from https://docs.xarray.dev/en/latest/objects.inv ...
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 0x7fe9b092c980>: Failed to resolve 'docs.python.org' ([Errno -3] Temporary failure in name resolution)"))
WARNING: failed to reach any of the inventories with the following issues:
intersphinx inventory 'https://numpy.org/doc/stable/objects.inv' not fetchable due to <class 'requests.exceptions.ConnectionError'>: HTTPSConnectionPool(host='numpy.org', port=443): Max retries exceeded with url: /doc/stable/objects.inv (Caused by NameResolutionError("<urllib3.connection.HTTPSConnection object at 0x7fe9b10cc910>: Failed to resolve 'numpy.org' ([Errno -3] Temporary failure in name resolution)"))
WARNING: failed to reach any of the inventories with the following issues:
intersphinx inventory 'https://docs.xarray.dev/en/latest/objects.inv' not fetchable due to <class 'requests.exceptions.ConnectionError'>: HTTPSConnectionPool(host='docs.xarray.dev', port=443): Max retries exceeded with url: /en/latest/objects.inv (Caused by NameResolutionError("<urllib3.connection.HTTPSConnection object at 0x7fe9b1143610>: Failed to resolve 'docs.xarray.dev' ([Errno -3] Temporary failure in name resolution)"))
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 0x7fe9b0f56d50>: Failed to resolve 'docs.enthought.com' ([Errno -3] Temporary failure in name resolution)"))
WARNING: failed to reach any of the inventories with the following issues:
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 0x7fe9b0f57610>: 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
writing output... 
building [html]: targets for 5 source files that are out of date
updating environment: [new config] 105 added, 0 changed, 0 removed
reading sources... [  1%] accessor_methods
reading sources... [  2%] api
reading sources... [  3%] extending_xbout
reading sources... [  4%] generated/xbout
reading sources... [  5%] generated/xbout.boutdataarray
reading sources... [  6%] generated/xbout.boutdataarray.BoutDataArrayAccessor
reading sources... [  7%] generated/xbout.boutdataset
reading sources... [  8%] generated/xbout.boutdataset.BoutDatasetAccessor
reading sources... [  9%] generated/xbout.calc
reading sources... [ 10%] generated/xbout.calc.turbulence
reading sources... [ 10%] generated/xbout.calc.turbulence.rms
reading sources... [ 11%] generated/xbout.conftest
reading sources... [ 12%] generated/xbout.conftest.pytest_addoption
reading sources... [ 13%] generated/xbout.conftest.pytest_collection_modifyitems
reading sources... [ 14%] generated/xbout.conftest.pytest_configure
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reading sources... [ 16%] generated/xbout.fastoutput.open_fastoutput
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reading sources... [ 18%] generated/xbout.geometries.UnregisteredGeometryError
reading sources... [ 19%] generated/xbout.geometries.add_fci_geometry_coords
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reading sources... [ 21%] generated/xbout.geometries.add_toroidal_geometry_coords
reading sources... [ 22%] generated/xbout.geometries.apply_geometry
reading sources... [ 23%] generated/xbout.geometries.register_geometry
reading sources... [ 24%] generated/xbout.load
reading sources... [ 25%] generated/xbout.load.collect
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reading sources... [ 27%] generated/xbout.plotting
reading sources... [ 28%] generated/xbout.plotting.animate
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reading sources... [ 31%] generated/xbout.plotting.plotfuncs
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reading sources... [ 33%] generated/xbout.plotting.plotfuncs.plot3d
reading sources... [ 34%] generated/xbout.plotting.plotfuncs.plot_regions
reading sources... [ 35%] generated/xbout.plotting.utils
reading sources... [ 36%] generated/xbout.plotting.utils.plot_separatrices
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reading sources... [ 38%] generated/xbout.plotting.utils.plot_targets
reading sources... [ 39%] generated/xbout.region
reading sources... [ 40%] generated/xbout.region.Region
reading sources... [ 41%] generated/xbout.region.topology_connected_double_null
reading sources... [ 42%] generated/xbout.region.topology_core
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reading sources... [ 60%] generated/xbout.tests.test_boutdataarray.TestBoutDataArrayMethods
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reading sources... [ 63%] generated/xbout.tests.test_boutdataset.TestBoutDatasetMethods
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reading sources... [ 88%] generated/xbout.tests.test_plot.TestPlot
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reading sources... [ 98%] generated/xbout.utils
reading sources... [ 99%] index
reading sources... [100%] loading_data

looking for now-outdated files... none found
pickling environment... done
checking consistency... done
preparing documents... WARNING: unsupported theme option 'repository_url' given
WARNING: unsupported theme option 'repository_branch' given
WARNING: unsupported theme option 'path_to_docs' given
WARNING: unsupported theme option 'use_edit_page_button' given
WARNING: unsupported theme option 'use_repository_button' given
done
copying assets... 
WARNING: unsupported theme option 'use_issues_button' given
WARNING: unsupported theme option 'home_page_in_toc' given
copying static files... 
Writing evaluated template result to /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/html/_static/basic.css
Writing evaluated template result to /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/html/_static/documentation_options.js
Writing evaluated template result to /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/html/_static/language_data.js
Writing evaluated template result to /builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/html/_static/alabaster.css
copying static files: done
copying extra files... 
copying extra files: done
copying assets: done
writing output... [  1%] accessor_methods
writing output... [  2%] api
writing output... [  3%] extending_xbout
writing output... [  4%] generated/xbout
writing output... [  5%] generated/xbout.boutdataarray
writing output... [  6%] generated/xbout.boutdataarray.BoutDataArrayAccessor
writing output... [  7%] generated/xbout.boutdataset
writing output... [  8%] generated/xbout.boutdataset.BoutDatasetAccessor
writing output... [  9%] generated/xbout.calc
writing output... [ 10%] generated/xbout.calc.turbulence
writing output... [ 10%] generated/xbout.calc.turbulence.rms
writing output... [ 11%] generated/xbout.conftest
writing output... [ 12%] generated/xbout.conftest.pytest_addoption
writing output... [ 13%] generated/xbout.conftest.pytest_collection_modifyitems
writing output... [ 14%] generated/xbout.conftest.pytest_configure
writing output... [ 15%] generated/xbout.fastoutput
writing output... [ 16%] generated/xbout.fastoutput.open_fastoutput
writing output... [ 17%] generated/xbout.geometries
writing output... [ 18%] generated/xbout.geometries.UnregisteredGeometryError
writing output... [ 19%] generated/xbout.geometries.add_fci_geometry_coords
writing output... [ 20%] generated/xbout.geometries.add_s_alpha_geometry_coords
writing output... [ 21%] generated/xbout.geometries.add_toroidal_geometry_coords
writing output... [ 22%] generated/xbout.geometries.apply_geometry
writing output... [ 23%] generated/xbout.geometries.register_geometry
writing output... [ 24%] generated/xbout.load
writing output... [ 25%] generated/xbout.load.collect
writing output... [ 26%] generated/xbout.load.open_boutdataset
writing output... [ 27%] generated/xbout.plotting
writing output... [ 28%] generated/xbout.plotting.animate
writing output... [ 29%] generated/xbout.plotting.animate.animate_line
writing output... [ 30%] generated/xbout.plotting.animate.animate_pcolormesh
writing output... [ 30%] generated/xbout.plotting.animate.animate_poloidal
writing output... [ 31%] generated/xbout.plotting.plotfuncs
writing output... [ 32%] generated/xbout.plotting.plotfuncs.plot2d_wrapper
writing output... [ 33%] generated/xbout.plotting.plotfuncs.plot3d
writing output... [ 34%] generated/xbout.plotting.plotfuncs.plot_regions
writing output... [ 35%] generated/xbout.plotting.utils
writing output... [ 36%] generated/xbout.plotting.utils.plot_separatrices
writing output... [ 37%] generated/xbout.plotting.utils.plot_separatrix
writing output... [ 38%] generated/xbout.plotting.utils.plot_targets
writing output... [ 39%] generated/xbout.region
writing output... [ 40%] generated/xbout.region.Region
writing output... [ 41%] generated/xbout.region.topology_connected_double_null
writing output... [ 42%] generated/xbout.region.topology_core
writing output... [ 43%] generated/xbout.region.topology_limiter
writing output... [ 44%] generated/xbout.region.topology_lower_disconnected_double_null
writing output... [ 45%] generated/xbout.region.topology_single_null
writing output... [ 46%] generated/xbout.region.topology_sol
writing output... [ 47%] generated/xbout.region.topology_upper_disconnected_double_null
writing output... [ 48%] generated/xbout.region.topology_xpoint
writing output... [ 49%] generated/xbout.tests
writing output... [ 50%] generated/xbout.tests.conftest
writing output... [ 50%] generated/xbout.tests.conftest.bout_xyt_example_files
writing output... [ 51%] generated/xbout.tests.conftest.create_example_files_fci
writing output... [ 52%] generated/xbout.tests.conftest.create_example_grid_file_fci
writing output... [ 53%] generated/xbout.tests.test_against_collect
writing output... [ 54%] generated/xbout.tests.test_against_collect.TestAccuracyAgainstOldCollect
writing output... [ 55%] generated/xbout.tests.test_against_collect.test_speed_against_old_collect
writing output... [ 56%] generated/xbout.tests.test_animate
writing output... [ 57%] generated/xbout.tests.test_animate.TestAnimate
writing output... [ 58%] generated/xbout.tests.test_animate.create_test_file
writing output... [ 59%] generated/xbout.tests.test_boutdataarray
writing output... [ 60%] generated/xbout.tests.test_boutdataarray.TestBoutDataArrayMethods
writing output... [ 61%] generated/xbout.tests.test_boutdataset
writing output... [ 62%] generated/xbout.tests.test_boutdataset.TestBoutDatasetIsXarrayDataset
writing output... [ 63%] generated/xbout.tests.test_boutdataset.TestBoutDatasetMethods
writing output... [ 64%] generated/xbout.tests.test_boutdataset.TestLoadInputFile
writing output... [ 65%] generated/xbout.tests.test_boutdataset.TestLoadLogFile
writing output... [ 66%] generated/xbout.tests.test_boutdataset.TestSave
writing output... [ 67%] generated/xbout.tests.test_boutdataset.TestSaveRestart
writing output... [ 68%] generated/xbout.tests.test_fastoutput
writing output... [ 69%] generated/xbout.tests.test_fastoutput.TestFastOutput
writing output... [ 70%] generated/xbout.tests.test_fastoutput.make_fastoutput
writing output... [ 70%] generated/xbout.tests.test_fastoutput.make_fastoutput_set
writing output... [ 71%] generated/xbout.tests.test_geometries
writing output... [ 72%] generated/xbout.tests.test_geometries.TestGeometryRegistration
writing output... [ 73%] generated/xbout.tests.test_grid
writing output... [ 74%] generated/xbout.tests.test_grid.TestOpenGrid
writing output... [ 75%] generated/xbout.tests.test_grid.create_example_grid_file
writing output... [ 76%] generated/xbout.tests.test_init
writing output... [ 77%] generated/xbout.tests.test_init.test_version
writing output... [ 78%] generated/xbout.tests.test_load
writing output... [ 79%] generated/xbout.tests.test_load.TestArrange
writing output... [ 80%] generated/xbout.tests.test_load.TestOpen
writing output... [ 81%] generated/xbout.tests.test_load.TestPathHandling
writing output... [ 82%] generated/xbout.tests.test_load.TestStripMetadata
writing output... [ 83%] generated/xbout.tests.test_load.TestTrim
writing output... [ 84%] generated/xbout.tests.test_load.create_filepaths
writing output... [ 85%] generated/xbout.tests.test_load.test_check_extensions
writing output... [ 86%] generated/xbout.tests.test_load.test_set_fci_coords
writing output... [ 87%] generated/xbout.tests.test_plot
writing output... [ 88%] generated/xbout.tests.test_plot.TestPlot
writing output... [ 89%] generated/xbout.tests.test_region
writing output... [ 90%] generated/xbout.tests.test_region.TestRegion
writing output... [ 90%] generated/xbout.tests.test_utils
writing output... [ 91%] generated/xbout.tests.test_utils.TestUtils
writing output... [ 92%] generated/xbout.tests.utils_for_tests
writing output... [ 93%] generated/xbout.tests.utils_for_tests.create_bout_ds
writing output... [ 94%] generated/xbout.tests.utils_for_tests.create_bout_ds_list
writing output... [ 95%] generated/xbout.tests.utils_for_tests.create_bout_grid_ds
writing output... [ 96%] generated/xbout.tests.utils_for_tests.load_example_input
writing output... [ 97%] generated/xbout.tests.utils_for_tests.set_geometry_from_input_file
writing output... [ 98%] generated/xbout.utils
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]
generating indices... /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]
genindex py-modindex done
highlighting module code... [  4%] xbout.boutdataarray
highlighting module code... [  8%] xbout.boutdataset
highlighting module code... [ 12%] xbout.calc.turbulence
highlighting module code... [ 16%] xbout.conftest
highlighting module code... [ 20%] xbout.fastoutput
highlighting module code... [ 24%] xbout.geometries
highlighting module code... [ 28%] xbout.load
highlighting module code... [ 32%] xbout.plotting.animate
highlighting module code... [ 36%] xbout.plotting.plotfuncs
highlighting module code... [ 40%] xbout.plotting.utils
highlighting module code... [ 44%] xbout.region
highlighting module code... [ 48%] xbout.tests.conftest
highlighting module code... [ 52%] xbout.tests.test_against_collect
highlighting module code... [ 56%] xbout.tests.test_animate
highlighting module code... [ 60%] xbout.tests.test_boutdataarray
highlighting module code... [ 64%] xbout.tests.test_boutdataset
highlighting module code... [ 68%] xbout.tests.test_fastoutput
highlighting module code... [ 72%] xbout.tests.test_geometries
highlighting module code... [ 76%] xbout.tests.test_grid
highlighting module code... [ 80%] xbout.tests.test_init
highlighting module code... [ 84%] xbout.tests.test_load
highlighting module code... [ 88%] xbout.tests.test_plot
highlighting module code... [ 92%] xbout.tests.test_region
highlighting module code... [ 96%] xbout.tests.test_utils
highlighting module code... [100%] xbout.tests.utils_for_tests

writing additional pages... search done
copying images... [100%] images/n_over_t.gif

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.KCAzye
+ 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 25.0.1 from /usr/lib/python3.13/site-packages/pip (python 3.13)
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-0.3.6-5.fc43.x86_64-pyproject-ghost-distinfo
+ site_dirs=()
+ '[' -d /builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.13/site-packages ']'
+ site_dirs+=("/usr/lib/python3.13/site-packages")
+ '[' /builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib64/python3.13/site-packages '!=' /builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.13/site-packages ']'
+ '[' -d /builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib64/python3.13/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/python3.13/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/python3.13/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/python3.13/site-packages/xbout-0.3.6.dist-info/RECORD --output /builddir/build/BUILD/python-xbout-0.3.6-build/python-xbout-0.3.6-5.fc43.x86_64-pyproject-record
+ rm -fv /builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.13/site-packages/xbout-0.3.6.dist-info/RECORD
removed '/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.13/site-packages/xbout-0.3.6.dist-info/RECORD'
+ rm -fv /builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.13/site-packages/xbout-0.3.6.dist-info/REQUESTED
removed '/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.13/site-packages/xbout-0.3.6.dist-info/REQUESTED'
++ wc -l /builddir/build/BUILD/python-xbout-0.3.6-build/python-xbout-0.3.6-5.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-0.3.6-5.fc43.x86_64-pyproject-files --output-modules /builddir/build/BUILD/python-xbout-0.3.6-build/python-xbout-0.3.6-5.fc43.x86_64-pyproject-modules --buildroot /builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT --sitelib /usr/lib/python3.13/site-packages --sitearch /usr/lib64/python3.13/site-packages --python-version 3.13 --pyproject-record /builddir/build/BUILD/python-xbout-0.3.6-build/python-xbout-0.3.6-5.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/brp-strip-static-archive /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/python3.13 using python3.13
+ /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/python3.13/site-packages/xbout/calc/__pycache__/__init__.cpython-313.pyc: rewriting with normalized contents
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.13/site-packages/xbout/plotting/__pycache__/__init__.cpython-313.pyc: rewriting with normalized contents
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.13/site-packages/xbout/calc/__pycache__/turbulence.cpython-313.pyc: rewriting with normalized contents
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.13/site-packages/xbout/calc/tests/__pycache__/test_turbulence.cpython-313.pyc: rewriting with normalized contents
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.13/site-packages/xbout/tests/__pycache__/__init__.cpython-313.pyc: rewriting with normalized contents
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.13/site-packages/xbout/plotting/__pycache__/utils.cpython-313.pyc: rewriting with normalized contents
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.13/site-packages/xbout/tests/__pycache__/conftest.cpython-313.pyc: rewriting with normalized contents
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.13/site-packages/xbout/plotting/__pycache__/animate.cpython-313.pyc: rewriting with normalized contents
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.13/site-packages/xbout/plotting/__pycache__/plotfuncs.cpython-313.pyc: rewriting with normalized contents
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.13/site-packages/xbout/tests/__pycache__/test_against_collect.cpython-313.pyc: replacing with normalized version
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.13/site-packages/xbout/tests/__pycache__/test_fastoutput.cpython-313.pyc: replacing with normalized version
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.13/site-packages/xbout/tests/__pycache__/test_geometries.cpython-313.pyc: replacing with normalized version
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.13/site-packages/xbout/tests/__pycache__/test_grid.cpython-313.pyc: rewriting with normalized contents
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.13/site-packages/xbout/tests/__pycache__/test_init.cpython-313.pyc: replacing with normalized version
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.13/site-packages/xbout/tests/__pycache__/test_animate.cpython-313.pyc: replacing with normalized version
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.13/site-packages/xbout/tests/__pycache__/test_plot.cpython-313.pyc: rewriting with normalized contents
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.13/site-packages/xbout/tests/__pycache__/test_boutdataarray.cpython-313.pyc: replacing with normalized version
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.13/site-packages/xbout/tests/__pycache__/test_utils.cpython-313.pyc: replacing with normalized version
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.13/site-packages/xbout/tests/__pycache__/utils_for_tests.cpython-313.pyc: rewriting with normalized contents
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.13/site-packages/xbout/tests/__pycache__/test_region.cpython-313.pyc: rewriting with normalized contents
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.13/site-packages/xbout/tests/__pycache__/test_against_collect.cpython-313.opt-1.pyc: replacing with normalized version
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.13/site-packages/xbout/tests/__pycache__/test_geometries.cpython-313.opt-1.pyc: replacing with normalized version
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.13/site-packages/xbout/tests/__pycache__/test_init.cpython-313.opt-1.pyc: replacing with normalized version
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.13/site-packages/xbout/tests/__pycache__/test_boutdataset.cpython-313.pyc: replacing with normalized version
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.13/site-packages/xbout/tests/__pycache__/test_load.cpython-313.pyc: replacing with normalized version
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.13/site-packages/xbout/tests/__pycache__/test_utils.cpython-313.opt-1.pyc: replacing with normalized version
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.13/site-packages/xbout/tests/__pycache__/test_animate.cpython-313.opt-1.pyc: replacing with normalized version
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.13/site-packages/xbout/tests/__pycache__/test_fastoutput.cpython-313.opt-1.pyc: replacing with normalized version
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.13/site-packages/xbout/__pycache__/__init__.cpython-313.pyc: rewriting with normalized contents
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.13/site-packages/xbout/__pycache__/_version.cpython-313.pyc: rewriting with normalized contents
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.13/site-packages/xbout/tests/__pycache__/test_boutdataarray.cpython-313.opt-1.pyc: replacing with normalized version
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.13/site-packages/xbout/__pycache__/boutdataarray.cpython-313.pyc: rewriting with normalized contents
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.13/site-packages/xbout/__pycache__/conftest.cpython-313.pyc: rewriting with normalized contents
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.13/site-packages/xbout/__pycache__/fastoutput.cpython-313.pyc: rewriting with normalized contents
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.13/site-packages/xbout/tests/__pycache__/test_load.cpython-313.opt-1.pyc: replacing with normalized version
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.13/site-packages/xbout/__pycache__/geometries.cpython-313.pyc: replacing with normalized version
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.13/site-packages/xbout/__pycache__/boutdataset.cpython-313.pyc: rewriting with normalized contents
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.13/site-packages/xbout/__pycache__/load.cpython-313.pyc: replacing with normalized version
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.13/site-packages/xbout/__pycache__/region.cpython-313.pyc: rewriting with normalized contents
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.13/site-packages/xbout/tests/__pycache__/test_boutdataset.cpython-313.opt-1.pyc: replacing with normalized version
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.13/site-packages/xbout/__pycache__/geometries.cpython-313.opt-1.pyc: replacing with normalized version
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.13/site-packages/xbout/__pycache__/utils.cpython-313.pyc: rewriting with normalized contents
/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.13/site-packages/xbout/__pycache__/load.cpython-313.opt-1.pyc: replacing with normalized version
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.rcTgPw
+ 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:/usr/local/sbin
+ PYTHONPATH=/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib64/python3.13/site-packages:/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.13/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 3.13.3, pytest-8.3.5, pluggy-1.5.0
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%]
FFFFFFFFFFFFFFFFFFFFFFFFFFssFFFFFFFFFFFFFFFFFFF                          [ 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 ..........................FFFFFFFFFFFFsFF....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 0x7f1118cb7820>, _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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1115cd46a0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1118cb7820>, _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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1117ab1ea0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1118cb7820>, _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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f111791ac80>
dims = ()

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

/usr/lib/python3.13/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 0x7f1118cb7820>, _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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1115d3a080>
dims = ()

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

/usr/lib/python3.13/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 0x7f1118cb7820>, _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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1115df1360>
dims = ()

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

/usr/lib/python3.13/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 0x7f1118cb7820>, _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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11165e4ac0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1118cb7820>, _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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1117b09960>
dims = ()

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

/usr/lib/python3.13/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 0x7f1118cb7820>, _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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1115e8f520>
dims = ()

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

/usr/lib/python3.13/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 0x7f1118cb7820>, _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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1115ed3340>
dims = ()

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

/usr/lib/python3.13/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 0x7f1118cb7820>, _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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11164ad480>
dims = ()

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

/usr/lib/python3.13/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 0x7f1118cb7820>, _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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1115cd4040>
dims = ()

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

/usr/lib/python3.13/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 0x7f1118cb7820>, _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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1115b171c0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1118cb7820>, _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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11178fba00>
dims = ()

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

/usr/lib/python3.13/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 0x7f1118cb7820>, _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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1115e48dc0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1118cb7820>, _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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1115c20ca0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1118cb7820>, _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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1115b37c40>
dims = ()

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

/usr/lib/python3.13/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 0x7f1118cb7820>, _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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1115c230a0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1118cb7820>, _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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1115e17ca0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1118cb7820>, _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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11159c02e0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1118cb7820>, _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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1115e8c940>
dims = ()

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

/usr/lib/python3.13/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 0x7f1118cb7820>, _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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f111627f820>
dims = ()

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

/usr/lib/python3.13/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 0x7f1118cb7820>, _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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1115ec6200>
dims = ()

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

/usr/lib/python3.13/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 0x7f1118cb7820>, _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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1115dc05e0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1118cb7820>, _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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1115c2ca00>
dims = ()

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

/usr/lib/python3.13/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 0x7f1118cb7820>, _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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1115d028c0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1118cb7820>, _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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1115c5d6c0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1118cb7820>, _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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11159d0100>
dims = ()

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

/usr/lib/python3.13/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 0x7f1118cb7820>, _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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1115d16b60>
dims = ()

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

/usr/lib/python3.13/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 0x7f1118cb7820>, _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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f111757f340>
dims = ()

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

/usr/lib/python3.13/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 0x7f1118cb7820>, _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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f111591f520>
dims = ()

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

/usr/lib/python3.13/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 0x7f1118cb7820>, _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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1117a41360>
dims = ()

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

/usr/lib/python3.13/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 0x7f1118cb7820>, _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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11161228c0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1118cb7820>, _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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f111629a320>
dims = ()

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

/usr/lib/python3.13/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 0x7f1118cb7820>, _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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1115d39540>
dims = ()

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

/usr/lib/python3.13/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 0x7f1118cb7820>, _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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11170d21a0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1118cb7820>, _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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1115b166e0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1118cb7820>, _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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11175a7820>
dims = ()

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

/usr/lib/python3.13/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 0x7f1118cb7820>, _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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1115dc3fa0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
=================================== FAILURES ===================================
________________ TestAccuracyAgainstOldCollect.test_single_file ________________

self = <xbout.tests.test_against_collect.TestAccuracyAgainstOldCollect object at 0x7f1118162490>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f1118cb7820>, _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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1115aa3880>
dims = ()

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

/usr/lib/python3.13/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 0x7f1118162990>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f1118cb7820>, _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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f111590d480>
dims = ()

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

/usr/lib/python3.13/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 0x7f111819d220>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f1118cb7820>, _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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11175505e0>
dims = ()

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

/usr/lib/python3.13/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 0x7f111819d0f0>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f1118cb7820>, _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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1115c2d840>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117e22330>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f1118cb7820>, _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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11175b9a80>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
___________________ TestBoutDataArrayMethods.test_to_dataset ___________________

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f1118163390>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>

    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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f111617cfa0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
_________ TestBoutDataArrayMethods.test_remove_yboundaries[False-0-0] __________

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f11181634d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1115ed1660>
dims = ()

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

/usr/lib/python3.13/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 0x7f111819e520>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1115f6ef80>
dims = ()

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

/usr/lib/python3.13/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 0x7f111819e780>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1115d3ee00>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117b95010>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1115bf2e00>
dims = ()

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

/usr/lib/python3.13/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 0x7f11186d7f00>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11170056c0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117edc490>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1115e879a0>
dims = ()

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

/usr/lib/python3.13/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 0x7f11181a9250>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1115e42e00>
dims = ()

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

/usr/lib/python3.13/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 0x7f11181a9c50>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1115b88760>
dims = ()

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

/usr/lib/python3.13/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 0x7f111817f6b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1115b64760>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
___________ TestBoutDataArrayMethods.test_to_field_aligned[False-7] ____________

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f1117a68410>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1117006740>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
___________ TestBoutDataArrayMethods.test_to_field_aligned[False-8] ____________

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f1117d051d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1115d3d840>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
___________ TestBoutDataArrayMethods.test_to_field_aligned[False-9] ____________

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f1117d05390>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1115dd41c0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
____________ TestBoutDataArrayMethods.test_to_field_aligned[True-6] ____________

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f1117e40ef0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1115b22ce0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
____________ TestBoutDataArrayMethods.test_to_field_aligned[True-7] ____________

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f111819a810>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1115dd6ce0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
____________ TestBoutDataArrayMethods.test_to_field_aligned[True-8] ____________

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f111819a750>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1115f6e7a0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
____________ TestBoutDataArrayMethods.test_to_field_aligned[True-9] ____________

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f11181a1ff0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1115dd77c0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
__________ TestBoutDataArrayMethods.test_to_field_aligned_dask[False] __________

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f11181a2150>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11161e8340>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
__________ TestBoutDataArrayMethods.test_to_field_aligned_dask[True] ___________

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f1117e693b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1115dd7fa0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
__________ TestBoutDataArrayMethods.test_from_field_aligned[False-6] ___________

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f1117e694f0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1115b36e60>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
__________ TestBoutDataArrayMethods.test_from_field_aligned[False-7] ___________

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f1117ecccb0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1117a5bac0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
__________ TestBoutDataArrayMethods.test_from_field_aligned[False-8] ___________

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f1117b937d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1115e48520>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
__________ TestBoutDataArrayMethods.test_from_field_aligned[False-9] ___________

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f1117b93150>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1117007fa0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
___________ TestBoutDataArrayMethods.test_from_field_aligned[True-6] ___________

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f1117bbda90>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1115c2e6e0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
___________ TestBoutDataArrayMethods.test_from_field_aligned[True-7] ___________

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f1117bbdbe0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1117a5b100>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
___________ TestBoutDataArrayMethods.test_from_field_aligned[True-8] ___________

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f1118197cb0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1115930fa0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
___________ TestBoutDataArrayMethods.test_from_field_aligned[True-9] ___________

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f1118197890>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1115e61960>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117a63890>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1115bc9cc0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117a637f0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1115dda980>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117a63840>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11165e62c0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117a638e0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11161d2c20>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117a63930>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f111791bb80>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117a63980>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1115e2bca0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117a63ac0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1115ec43a0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117a63a20>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1115df00a0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117a63a70>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1117904700>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117a63b10>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1115dda740>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117a63b60>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1115d8d5a0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117a63bb0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11161d0a00>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
________ TestBoutDataArrayMethods.test_interpolate_parallel_region_core ________

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f1117a63c00>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>

    @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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1115ed31c0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117a63c50>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1115df12a0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117a63ca0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11161eaaa0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117a63cf0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1115dd4ac0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117a63d40>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1115bf2920>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117a63d90>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>

    @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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1115e0e560>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117a63de0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>

    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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1115dc1120>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117a63e30>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>

    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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f111621e4a0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117a63e80>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>

    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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1117002da0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117a63ed0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>

    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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11164af340>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117a63f20>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>

    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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11178f9000>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117a63f70>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>

    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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1115e0cb80>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
___________ TestBoutDataArrayMethods.test_add_cartesian_coordinates ____________

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f1117a63fc0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>

    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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f111623a500>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
______________________ TestBoutDataArrayMethods.test_ddx _______________________

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f1117bac050>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>

    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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11170df400>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
______________________ TestBoutDataArrayMethods.test_ddy _______________________

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f1117bac0a0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>

    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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11164bea40>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117bac0f0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>

    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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f111629b340>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
_____________ TestBoutDataArrayMethods.test_derivatives_doublenull _____________

self = <xbout.tests.test_boutdataarray.TestBoutDataArrayMethods object at 0x7f1117bac140>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>

    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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1115d3c640>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117be5590>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>

    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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11165e5660>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
___________________ TestBoutDatasetIsXarrayDataset.test_isel ___________________

self = <xbout.tests.test_boutdataset.TestBoutDatasetIsXarrayDataset object at 0x7f1117be56d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>

    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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11175a6440>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
________________ TestBoutDatasetMethods.test_get_field_aligned _________________

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f1117be5810>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>

    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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1117b17820>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
_____________ TestBoutDatasetMethods.test_remove_yboundaries[0-0] ______________

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f1117be5950>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1115e126e0>
dims = ()

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

/usr/lib/python3.13/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 0x7f111819dcd0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f111657ee00>
dims = ()

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

/usr/lib/python3.13/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 0x7f111819f5c0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f111591dc60>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d6d250>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1115cf2e00>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117ede690>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1115c49cc0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
_______________ TestBoutDatasetMethods.test_to_field_aligned[7] ________________

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f1117edc5a0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1115b484c0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
_______________ TestBoutDatasetMethods.test_to_field_aligned[8] ________________

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f11181ab850>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1115c463e0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
_______________ TestBoutDatasetMethods.test_to_field_aligned[9] ________________

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f11181abe50>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1115cf3a00>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
______________ TestBoutDatasetMethods.test_to_field_aligned_dask _______________

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f1117a68c80>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>

    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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1115c4b700>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
______________ TestBoutDatasetMethods.test_from_field_aligned[6] _______________

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f1117a68500>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11165da680>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
______________ TestBoutDatasetMethods.test_from_field_aligned[7] _______________

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f1117bb2190>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1115c996c0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
______________ TestBoutDatasetMethods.test_from_field_aligned[8] _______________

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f1117bb2510>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1115cf39a0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
______________ TestBoutDatasetMethods.test_from_field_aligned[9] _______________

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f1117e43110>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1115b48520>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
______ TestBoutDatasetMethods.test_to_field_aligned_staggered[CELL_XLOW] _______

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f1117b4cc50>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1115b4b520>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
______ TestBoutDatasetMethods.test_to_field_aligned_staggered[CELL_YLOW] _______

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f1117b4cd10>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1115c4b340>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
______ TestBoutDatasetMethods.test_to_field_aligned_staggered[CELL_ZLOW] _______

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f11181a2200>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1115bb8340>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
_____ TestBoutDatasetMethods.test_from_field_aligned_staggered[CELL_XLOW] ______

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f11181a3960>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11165db9a0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
_____ TestBoutDatasetMethods.test_from_field_aligned_staggered[CELL_YLOW] ______

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f1145e8ccd0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11165d5de0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
_____ TestBoutDatasetMethods.test_from_field_aligned_staggered[CELL_ZLOW] ______

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f1117b7ba70>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1115bb9480>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117a2cf50>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1115e14dc0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117a2d8d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11162a97e0>
dims = ()

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

/usr/lib/python3.13/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 0x7f11179e2200>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1115f89120>
dims = ()

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

/usr/lib/python3.13/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 0x7f11179e23c0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1116783220>
dims = ()

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

/usr/lib/python3.13/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 0x7f11179d8170>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11167bf8e0>
dims = ()

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

/usr/lib/python3.13/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 0x7f11179d81d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1116797100>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117986120>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11167d7280>
dims = ()

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

/usr/lib/python3.13/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 0x7f11179861c0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11173ebac0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117986260>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f111737fe80>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117986300>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11173b98a0>
dims = ()

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

/usr/lib/python3.13/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 0x7f11179863a0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f111616b9a0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117986440>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1115dc1420>
dims = ()

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

/usr/lib/python3.13/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 0x7f11179864e0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1115b4aa40>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117986580>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1117086920>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117986620>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f111659e8c0>
dims = ()

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

/usr/lib/python3.13/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 0x7f11179866c0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1115d707c0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117986710>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11167b2980>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117986760>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1117369c60>
dims = ()

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

/usr/lib/python3.13/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 0x7f11179867b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11166cada0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117986800>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f111730ae00>
dims = ()

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

/usr/lib/python3.13/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 0x7f11179868a0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f111664ae00>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117986940>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11166da1a0>
dims = ()

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

/usr/lib/python3.13/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 0x7f11179869e0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11166b3220>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117986a80>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f111661a260>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117986b20>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11166bf1c0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117986bc0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11166db760>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117986c60>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11166620e0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117986d00>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f111664b100>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117986da0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11165d7280>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117986e40>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1115c992a0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117986ee0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11162a8e80>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117986f80>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1115cf2e00>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117986fd0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>

    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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1115dc02e0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117987020>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>

    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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11173cbac0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117987070>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>

    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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11173ef340>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
_____ TestBoutDatasetMethods.test_integrate_midpoints_salpha[CELL_CENTRE] ______

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f11179871b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11170cdfc0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
______ TestBoutDatasetMethods.test_integrate_midpoints_salpha[CELL_XLOW] _______

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f11179870c0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1115dc33a0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
______ TestBoutDatasetMethods.test_integrate_midpoints_salpha[CELL_YLOW] _______

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f1117987110>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11167af400>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
______ TestBoutDatasetMethods.test_integrate_midpoints_salpha[CELL_ZLOW] _______

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f1117987160>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1117066e00>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
__________ TestBoutDatasetMethods.test_interpolate_from_unstructured ___________

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f1117987200>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>

    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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f111667ff40>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117987250>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>

    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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11166d8940>
dims = ()

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

/usr/lib/python3.13/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 0x7f11179872a0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>

    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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1115b4ace0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
____________ TestBoutDatasetMethods.test_add_cartesian_coordinates _____________

self = <xbout.tests.test_boutdataset.TestBoutDatasetMethods object at 0x7f11179872f0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>

    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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1115d3eaa0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
____________________________ TestSave.test_save_all ____________________________

self = <xbout.tests.test_boutdataset.TestSave object at 0x7f1117be5d10>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f1118cb7820>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>

    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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f111663e980>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
________________________ TestSave.test_reload_all[None] ________________________

self = <xbout.tests.test_boutdataset.TestSave object at 0x7f1117be5e50>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f1118cb7820>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11167eace0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
______________________ TestSave.test_reload_all[toroidal] ______________________

self = <xbout.tests.test_boutdataset.TestSave object at 0x7f111819f6f0>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f1118cb7820>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1116663640>
dims = ()

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

/usr/lib/python3.13/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 0x7f111819f820>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f1118cb7820>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11173abbe0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
___________________ TestSave.test_save_dtype[False-float32] ____________________

self = <xbout.tests.test_boutdataset.TestSave object at 0x7f11179c2450>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f1118cb7820>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1117368c40>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
____________________ TestSave.test_save_dtype[True-float64] ____________________

self = <xbout.tests.test_boutdataset.TestSave object at 0x7f1117ede8b0>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f1118cb7820>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11167eb940>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
____________________ TestSave.test_save_dtype[True-float32] ____________________

self = <xbout.tests.test_boutdataset.TestSave object at 0x7f1117ede9c0>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f1118cb7820>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11166188e0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
____________________ TestSave.test_save_separate_variables _____________________

self = <xbout.tests.test_boutdataset.TestSave object at 0x7f11181ab050>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f1118cb7820>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>

    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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11165e7d00>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
________________ TestSave.test_reload_separate_variables[None] _________________

self = <xbout.tests.test_boutdataset.TestSave object at 0x7f11179b0050>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f1118cb7820>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1117307940>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
______________ TestSave.test_reload_separate_variables[toroidal] _______________

self = <xbout.tests.test_boutdataset.TestSave object at 0x7f1117a6b020>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f1118cb7820>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1115c499c0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117a6af30>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f1118cb7820>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11175a56c0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
_________ TestSave.test_reload_separate_variables_time_split[toroidal] _________

self = <xbout.tests.test_boutdataset.TestSave object at 0x7f11179ba0b0>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f1118cb7820>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f111625cd00>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117be60d0>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f1118cb7820>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1115932da0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
______________________ TestSaveRestart.test_to_restart[1] ______________________

self = <xbout.tests.test_boutdataset.TestSaveRestart object at 0x7f1117be6210>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f1118cb7820>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11166bc580>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
__________________ TestSaveRestart.test_to_restart_change_npe __________________

self = <xbout.tests.test_boutdataset.TestSaveRestart object at 0x7f111819f950>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f1118cb7820>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>

    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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1115d722c0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
____________ TestSaveRestart.test_to_restart_change_npe_doublenull _____________

self = <xbout.tests.test_boutdataset.TestSaveRestart object at 0x7f111819fa80>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f1118cb7820>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>

    @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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1115d4bb20>
dims = ()

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

/usr/lib/python3.13/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 0x7f11179c3ad0>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f1118cb7820>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11176cd120>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117edebe0>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f1118cb7820>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11165db100>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
_________________ TestSaveRestart.test_from_restart_to_restart _________________

self = <xbout.tests.test_boutdataset.TestSaveRestart object at 0x7f1117edead0>
tmp_path = PosixPath('/tmp/pytest-of-mockbuild/pytest-0/test_from_restart_to_restart0')

    def test_from_restart_to_restart(self, tmp_path):
        datapath = Path(__file__).parent.joinpath(
            "data", "restart", "BOUT.restart.*.nc"
        )
        ds = open_boutdataset(datapath, keep_xboundaries=True, keep_yboundaries=True)
    
>       ds.bout.to_restart(savepath=tmp_path, nxpe=1, nype=4)

xbout/tests/test_boutdataset.py:2442: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
xbout/boutdataset.py:1007: in to_restart
    xr.save_mfdataset(restart_datasets, paths, compute=True)
/usr/lib/python3.13/site-packages/xarray/backends/api.py:2079: in save_mfdataset
    writes = [w.sync(compute=compute) for w in writers]
/usr/lib/python3.13/site-packages/xarray/backends/common.py:358: in sync
    delayed_store = chunkmanager.store(
/usr/lib/python3.13/site-packages/xarray/namedarray/daskmanager.py:247: in store
    return store(
/usr/lib/python3.13/site-packages/dask/array/core.py:1245: in store
    compute_as_if_collection(Array, store_dsk, map_keys, **kwargs)
/usr/lib/python3.13/site-packages/dask/base.py:397: in compute_as_if_collection
    return schedule(dsk2, keys, **kwargs)
/usr/lib/python3.13/site-packages/dask/threaded.py:91: in get
    results = get_async(
/usr/lib/python3.13/site-packages/dask/local.py:516: in get_async
    raise_exception(exc, tb)
/usr/lib/python3.13/site-packages/dask/local.py:324: in reraise
    raise exc
/usr/lib/python3.13/site-packages/dask/local.py:229: in execute_task
    result = task(data)
/usr/lib/python3.13/site-packages/dask/_task_spec.py:745: in __call__
    return self.func(*new_argspec)
/usr/lib/python3.13/site-packages/dask/_task_spec.py:171: in _execute_subgraph
    res = execute_graph(final, keys=[outkey])
/usr/lib/python3.13/site-packages/dask/_task_spec.py:984: in execute_graph
    cache[key] = node(cache)
/usr/lib/python3.13/site-packages/dask/_task_spec.py:745: in __call__
    return self.func(*new_argspec)
/usr/lib/python3.13/site-packages/dask/array/core.py:4539: in store_chunk
    return load_store_chunk(x, out, index, lock, return_stored, False)
/usr/lib/python3.13/site-packages/dask/array/core.py:4521: in load_store_chunk
    out[index] = x
/usr/lib/python3.13/site-packages/xarray/backends/netCDF4_.py:82: in __setitem__
    data[key] = value
src/netCDF4/_netCDF4.pyx:5630: in netCDF4._netCDF4.Variable.__setitem__
    ???
src/netCDF4/_netCDF4.pyx:5917: in netCDF4._netCDF4.Variable._put
    ???
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

>   ???
E   RuntimeError: NetCDF: HDF error

src/netCDF4/_netCDF4.pyx:2164: RuntimeError
----------------------------- Captured stdout call -----------------------------
Read in:
<xbout.BoutDataset>
Contains:
<xarray.Dataset> Size: 18kB
Dimensions:  (x: 1, y: 104, z: 1)
Coordinates:
    dx       (x, y) float64 832B dask.array<chunksize=(1, 52), meta=np.ndarray>
    dy       (x, y) float64 832B dask.array<chunksize=(1, 52), meta=np.ndarray>
    dz       (x, y) float64 832B dask.array<chunksize=(1, 52), meta=np.ndarray>
  * x        (x) int64 8B 0
  * y        (y) float64 832B 0.1 0.3 0.5 0.7 0.9 ... 19.9 20.1 20.3 20.5 20.7
  * z        (z) float64 8B 3.142
Data variables: (12/18)
    g11      (x, y) float64 832B dask.array<chunksize=(1, 52), meta=np.ndarray>
    g22      (x, y) float64 832B dask.array<chunksize=(1, 52), meta=np.ndarray>
    g33      (x, y) float64 832B dask.array<chunksize=(1, 52), meta=np.ndarray>
    g12      (x, y) float64 832B dask.array<chunksize=(1, 52), meta=np.ndarray>
    g13      (x, y) float64 832B dask.array<chunksize=(1, 52), meta=np.ndarray>
    g23      (x, y) float64 832B dask.array<chunksize=(1, 52), meta=np.ndarray>
    ...       ...
    J        (x, y) float64 832B dask.array<chunksize=(1, 52), meta=np.ndarray>
    Bxy      (x, y) float64 832B dask.array<chunksize=(1, 52), meta=np.ndarray>
    G1       (x, y) float64 832B dask.array<chunksize=(1, 52), meta=np.ndarray>
    G2       (x, y) float64 832B dask.array<chunksize=(1, 52), meta=np.ndarray>
    G3       (x, y) float64 832B dask.array<chunksize=(1, 52), meta=np.ndarray>
    T        (x, y, z) float64 832B dask.array<chunksize=(1, 52, 1), meta=np.ndarray>
Attributes:
    metadata:  {'hist_hi': 100, 'zperiod': 1, 'MXSUB': 1, 'MYSUB': 50, 'MZSUB...
    options:   None
    geometry:  
Metadata:
{   'BOUT_VERSION': 5.0,
    'MXG': 0,
    'MXSUB': 1,
    'MYG': 2,
    'MYSUB': 50,
    'MZ': 1,
    'MZG': 0,
    'MZSUB': 1,
    'NXPE': 1,
    'NYPE': 2,
    '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': 100,
    'is_restart': 1,
    'ixseps1': -1,
    'ixseps2': -1,
    'jyseps1_1': -1,
    'jyseps1_2': 50,
    'jyseps2_1': 50,
    'jyseps2_2': 99,
    'keep_xboundaries': 1,
    'keep_yboundaries': 1,
    'nx': 1,
    'ny': 100,
    'ny_inner': 50,
    'nz': 1,
    'run_id': '0b8826c4-1999-408b-8da4-f5a6a086c0f5',
    'run_restart_from': 'zzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzz',
    'tt': 9.99999999999998,
    'zperiod': 1}

[########################################] | 100% Completed | 103.58 ms
[##################################      ] | 85% Completed | 290.45 ms
__________________________ TestOpen.test_single_file ___________________________

self = <xbout.tests.test_load.TestOpen object at 0x7f1117f107d0>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f1118cb7820>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>

    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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1116a89540>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
_________________________ TestOpen.test_squashed_file __________________________

self = <xbout.tests.test_load.TestOpen object at 0x7f1117f11810>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f1118cb7820>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>

    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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1116a16500>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
________________ TestOpen.test_squashed_doublenull[False-False] ________________

self = <xbout.tests.test_load.TestOpen object at 0x7f1117e03100>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f1118cb7820>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11163c3ac0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
________________ TestOpen.test_squashed_doublenull[False-True] _________________

self = <xbout.tests.test_load.TestOpen object at 0x7f1117e02fd0>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f1118cb7820>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11169a2200>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
________________ TestOpen.test_squashed_doublenull[True-False] _________________

self = <xbout.tests.test_load.TestOpen object at 0x7f11158eb0b0>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f1118cb7820>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11163d5120>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
_________________ TestOpen.test_squashed_doublenull[True-True] _________________

self = <xbout.tests.test_load.TestOpen object at 0x7f1117e92250>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f1118cb7820>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f111576bd00>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
_____________ TestOpen.test_squashed_doublenull_file[False-False] ______________

self = <xbout.tests.test_load.TestOpen object at 0x7f1117e93df0>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f1118cb7820>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11166c9420>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
______________ TestOpen.test_squashed_doublenull_file[False-True] ______________

self = <xbout.tests.test_load.TestOpen object at 0x7f1117cf4f50>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f1118cb7820>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f111769c3a0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
______________ TestOpen.test_squashed_doublenull_file[True-False] ______________

self = <xbout.tests.test_load.TestOpen object at 0x7f1117cf7b50>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f1118cb7820>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f111636b2e0>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
______________ TestOpen.test_squashed_doublenull_file[True-True] _______________

self = <xbout.tests.test_load.TestOpen object at 0x7f1117ee3e30>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f1118cb7820>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1115768400>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
________________________ TestOpen.test_combine_along_x _________________________

self = <xbout.tests.test_load.TestOpen object at 0x7f1117ee3980>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f1118cb7820>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>

    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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11172f5480>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
________________________ TestOpen.test_combine_along_y _________________________

self = <xbout.tests.test_load.TestOpen object at 0x7f1117c2eeb0>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f1118cb7820>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>

    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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1116110a00>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
_____________ TestOpen.test_combine_along_xy[lengths0-False-False] _____________

self = <xbout.tests.test_load.TestOpen object at 0x7f1117c75160>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f1118cb7820>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11176e0700>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
_____________ TestOpen.test_combine_along_xy[lengths0-True-False] ______________

self = <xbout.tests.test_load.TestOpen object at 0x7f1117edbf50>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f1118cb7820>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f111730aa40>
dims = ()

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

/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:508: ValueError
____________________________ TestOpen.test_toroidal ____________________________

self = <xbout.tests.test_load.TestOpen object at 0x7f1117c640f0>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f1118cb7820>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>

    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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1116a3fac0>
dims = ()

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

/usr/lib/python3.13/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 0x7f11159e9eb0>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f1118cb7820>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>

    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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11157d2c80>
dims = ()

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

/usr/lib/python3.13/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 0x7f1115aa9050>
tmp_path_factory = TempPathFactory(_given_basetemp=None, _trace=<pluggy._tracing.TagTracerSub object at 0x7f1118cb7820>, _basetemp=PosixPath('/tmp/pytest-of-mockbuild/pytest-0'), _retention_count=3, _retention_policy='all')
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>

    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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1116eaed40>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117f10cd0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11172a27a0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117f11950>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1116f12440>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117e022c0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11171738e0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117e02060>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11145507c0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1115811c70>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11145e9a80>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117e93570>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1114549e40>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117e93790>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f111688b6a0>
dims = ()

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

/usr/lib/python3.13/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 0x7f11159f2350>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11144fe200>
dims = ()

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

/usr/lib/python3.13/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 0x7f11159f0050>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11171cf820>
dims = ()

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

/usr/lib/python3.13/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 0x7f11158332f0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1116ff7ac0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1115833110>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f111451db40>
dims = ()

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

/usr/lib/python3.13/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 0x7f111581b070>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11172dc100>
dims = ()

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

/usr/lib/python3.13/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 0x7f111581b4d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11145cb400>
dims = ()

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

/usr/lib/python3.13/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 0x7f11159b6b60>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f111458a560>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117edad50>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1116d3ce80>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117edabd0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1114527640>
dims = ()

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

/usr/lib/python3.13/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 0x7f11157fcb50>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1116d26980>
dims = ()

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

/usr/lib/python3.13/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 0x7f11157fccb0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1116d21ba0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117c66030>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1116d15300>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117c66530>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1116de9ae0>
dims = ()

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

/usr/lib/python3.13/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 0x7f11159e8050>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1117126f80>
dims = ()

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

/usr/lib/python3.13/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 0x7f1115b7e6d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11144ff940>
dims = ()

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

/usr/lib/python3.13/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 0x7f1115b7d350>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f111457dc00>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580aac0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f111455c0a0>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580ac10>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1115773880>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d231d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11172c4400>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d21c70>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11172c6c20>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580ca50>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11145a02e0>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580c7d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11145c4a00>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580c8c0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1116ddb820>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580cc80>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1116b26bc0>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580ce10>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1116ba94e0>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580ce60>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1116d2f940>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580ceb0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11172cdea0>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580cf00>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1116e35600>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580cf50>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11144feda0>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580cfa0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1116af3a60>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580cff0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11172eace0>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580d040>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1116fd5a80>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580d090>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1116d708e0>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580d0e0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1116fd51e0>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580d130>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1116d4ff40>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580d180>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1116d03160>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580d1d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1114543820>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580d220>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1116dbfd00>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580d270>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1114506e00>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580d2c0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1116d63940>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580d310>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1116b1ece0>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580d360>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11145ca920>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580d3b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11171c0100>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580d400>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11145c4be0>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580d450>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1116de70a0>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580d4a0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1116ba04c0>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580d4f0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1116b32fe0>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580d540>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11141b0b80>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580d590>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f111414bac0>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580d5e0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11141533a0>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580d630>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11140fe920>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580d680>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1114109d80>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580d6d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11143344c0>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580d720>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f111415aaa0>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580d770>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1114139240>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580d7c0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1114143640>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580d810>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f111410fa60>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580d860>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11142fd1e0>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580d8b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11145bbc40>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580d900>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1117199e40>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580d950>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1115726320>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580d9a0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11145b94e0>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580d9f0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1116b3c4c0>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580da40>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1116da4c40>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580da90>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1116defa00>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580dae0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1114171360>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580db30>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11141a6f20>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580db80>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1116bc45e0>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580dbd0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1116bd11e0>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580dc20>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1115771c00>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580dc70>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1116b2f0a0>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580dcc0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1116de6680>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580dd10>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1114117100>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580dd60>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1116bef940>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580ddb0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1114154dc0>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580de00>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1114101540>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580de50>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1116b91ae0>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580dea0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f111411a920>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580def0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1116b97b20>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580df40>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f111432ed40>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580df90>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11141f7ca0>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580dfe0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f111436eec0>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580e030>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f111438af20>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580e080>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1114148ac0>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580e0d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f111413b220>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580e120>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1117292ce0>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580e170>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f111413a0e0>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580e1c0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11143d1060>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580e210>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1116bd6fe0>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580e260>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1116bdbf40>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580e2b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1117199780>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580e300>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f111410d3c0>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580e350>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1116bc41c0>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580e3a0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1117291360>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580e3f0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1116bc5f00>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580e440>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1116d50a00>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580e490>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1114126260>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580e4e0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11172966e0>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580e530>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1117198a00>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580e580>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1116d41ea0>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580e5d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f111719a920>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580e620>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1116fa66e0>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580e670>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1116bee620>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580e6c0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1116a3c640>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580e710>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1116d68be0>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580e760>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1114106620>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580e7b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1114102c80>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580e800>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11171982e0>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580e850>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1116de2560>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580e8a0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f111723aaa0>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580e8f0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1116d50e80>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580e940>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1116d41e40>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580e990>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1116bd5360>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580e9e0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1116fd54e0>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580ea30>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1116bd9ae0>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580ea80>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1116d6aaa0>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580ead0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11141afac0>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580eb20>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1114137a00>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580eb70>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11157d2020>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580ebc0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1116dcf280>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580ec10>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1116bd8760>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580ec60>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1116d52620>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580ecb0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11157023e0>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580ed00>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11157276a0>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580ed50>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1114158760>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580eda0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11172a2bc0>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580edf0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f111417d8a0>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580ee40>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11157d1060>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580ee90>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11142ff820>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580eee0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1116b049a0>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580ef30>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11141247c0>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580ef80>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11141588e0>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580efd0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1116d6a560>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580f020>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11172906a0>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580f070>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f111723a980>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580f0c0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f111693eaa0>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580f110>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11141042e0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117f11a90>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11141d4280>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117f11bd0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11141cd7e0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117e01940>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11145a4ee0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117e01ba0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11145a5c00>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d305f0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1116dd4fa0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117e93130>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11140fa200>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117e93350>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f111432a320>
dims = ()

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

/usr/lib/python3.13/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 0x7f11159f2150>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1116ddac20>
dims = ()

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

/usr/lib/python3.13/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 0x7f11159f1e50>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f111459d0c0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1115832f30>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1114392a40>
dims = ()

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

/usr/lib/python3.13/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 0x7f1115832990>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f111459d420>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d534d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1116b97a00>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d53690>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f111436ce20>
dims = ()

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

/usr/lib/python3.13/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 0x7f11158507a0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1116b96080>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117edac90>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f111764d180>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117edab10>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11143cfa00>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d403c0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11143a6c80>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d40470>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1116c31ba0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117c66ad0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1116c77760>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117c66cb0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1116c4bac0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117effc80>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11146f5ae0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1115fcd650>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11146e16c0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1115fcc3d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11145f9d80>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d591d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f111417f6a0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d59320>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11145515a0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d970b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1116d5fd00>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d97110>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1116f14160>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580fb10>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1114126a40>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580fbb0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f111413dd80>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580fc50>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11146ac700>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580fcf0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1114186e60>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580fd90>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1116ac9de0>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580fe30>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f111464f340>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580fde0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f111461e1a0>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580fe80>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c71ef20>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580fed0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c75f100>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580ff20>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c6c2ec0>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580ff70>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11144f59c0>
dims = ()

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

/usr/lib/python3.13/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 0x7f111580ffc0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c72d8a0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d54050>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1116c97ac0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d540a0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1116889ea0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d540f0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1114551ae0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d54140>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1116d18ca0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d54190>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11146af280>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d541e0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f111416ea40>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d54230>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1116f8a020>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d54280>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1116f16800>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d542d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c6df460>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d54320>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11146716c0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d54370>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11146639a0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d543c0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1114660640>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d54410>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1114659840>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d54460>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c77e2c0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d544b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1114655de0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d54500>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c7675e0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d54550>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1116d5db40>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d545a0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1116c30d60>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d545f0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11144a83a0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d54640>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1116c3e260>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d54690>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1114658220>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d546e0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1116d63c40>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d54730>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1116f8b040>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d54780>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1116db9f60>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d547d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1116f8ab60>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d548c0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11146cb1c0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d54960>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1114407fa0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d54a00>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1114499b40>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d54aa0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c5d5ae0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d54b40>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c5dfee0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d54be0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c5da1a0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d54c80>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c605c60>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d54d20>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c5f43a0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d54dc0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1116b96920>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d54e60>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1114493760>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d54f00>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1114479480>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d54fa0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1114399660>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d55040>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c7876a0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d550e0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1114126140>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d55180>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1114663520>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d55220>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1116c766e0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d552c0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c67a5c0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d55310>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c4d6b60>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d55360>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c4d4700>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d553b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c4a2b00>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d55400>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c493a00>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d55450>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c4de7a0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d554a0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c3e9840>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d554f0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c680460>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d55540>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1116c75720>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d55590>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c499c00>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d555e0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f111461d540>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d55630>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c785b40>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d55680>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1116cb35e0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d556d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1116c32980>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d55720>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11146ac280>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d55770>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f111464a6e0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d55810>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c526260>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d55860>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c21bf40>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d558b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c2aa800>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d55900>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1114289120>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d55950>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f111421e620>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d559a0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11142cbe20>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d559f0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c4aa6e0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d55a40>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c765f60>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d55a90>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c4d46a0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d55ae0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c4cc220>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d55b30>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c504ee0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d55b80>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f111445dcc0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d55bd0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c52f280>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d55c20>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c4cd4e0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d55c70>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c582fe0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d55cc0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c2c5720>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d55d60>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c252ce0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d55d10>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c351300>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d55db0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c2fb1c0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d55e00>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c3aafe0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d55ef0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1114267dc0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d55f40>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c59bc40>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d55f90>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c43dde0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d55fe0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c53b400>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d56030>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c46eb60>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d56080>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f111693f880>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d560d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1114295b40>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d56120>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c67b5e0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d56170>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c26a2c0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d561c0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c403ac0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d56210>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11142dae60>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d56260>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f111426d660>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d562b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1100effe20>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d56300>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1100d60f40>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d56350>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c415c60>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d563a0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c4de680>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d563f0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c580b20>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d56440>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c273a60>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d56490>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c20d300>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d564e0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c3a58a0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d56530>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c2d8280>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d56580>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1100db3a00>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d565d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1100d15ae0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d56620>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1100cfc040>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d56670>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1100ceb220>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d566c0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c1a6500>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d56710>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c133e20>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d56760>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1100d83160>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d56990>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c142560>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d56800>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c146d40>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d567b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c30b100>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d56850>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1100d818a0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d568a0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c52d600>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d569e0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c250340>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d56a30>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c5f4fa0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d56a80>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c3a6860>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d56ad0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c4a8fa0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d56b20>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c47f520>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d56b70>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1100d528c0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d56bc0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1114233040>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d56c10>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f111423a380>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d56c60>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c1720e0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d56cb0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c104580>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d56d00>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c766320>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d56d50>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1100d47880>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d56da0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c251a20>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d56df0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c503a60>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d56e40>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c621b40>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d56e90>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c5f5660>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d56ee0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c1a5960>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d56f30>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c2ebee0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d56f80>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c347280>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d56fd0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1100cea800>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d57020>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c1757e0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d57070>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1100d7aa40>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d570c0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1100d67760>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d57110>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1100dabee0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d57160>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1100d320e0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d571b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1100edff40>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d57200>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c5819c0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d57250>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1100ede980>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d572a0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c52dcc0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d572f0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f111421a620>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d57340>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c414ee0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d57390>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f111421bf40>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d573e0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1100da4100>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d57430>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c28d0c0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d57480>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c3f1000>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d574d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c415ba0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d57520>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c0c73a0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d57570>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110090e920>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d575c0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1100ccd0c0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d57610>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c13e440>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d57660>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1100d472e0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d576b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c2fabc0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d57700>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c36c280>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d57750>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f111420f5e0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d577a0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c53ba00>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d577f0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c60cb20>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d57840>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11142d5f00>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d57890>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1100d1a2c0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d578e0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c29f700>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d57930>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c31a920>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d57980>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1100cc5a20>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d579d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c0d2740>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d57a20>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c3c9d80>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d57a70>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1100d00f40>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d57ac0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c7a8ac0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d57b10>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1100d76b60>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d57b60>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1100f31ae0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d57bb0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c335600>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d57c00>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11144f4580>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d57c50>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1100cea0e0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d57ca0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1100db1660>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d57cf0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1114263580>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d57d40>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1100cd6f80>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d57d90>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c26a500>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d57de0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c4dd960>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d57e30>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110097f580>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d57e80>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11008d4100>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d57ed0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1100922a40>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d57f20>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c150ac0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d57f70>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1100d46e60>
dims = ()

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

/usr/lib/python3.13/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 0x7f1117d57fc0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c620280>
dims = ()

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

/usr/lib/python3.13/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 0x7f1115a34050>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c2dad40>
dims = ()

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

/usr/lib/python3.13/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 0x7f1115a340a0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11144f4e80>
dims = ()

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

/usr/lib/python3.13/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 0x7f1115a340f0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c0bb9a0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1115a34140>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c0d7a00>
dims = ()

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

/usr/lib/python3.13/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 0x7f1115a34190>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1100ee0400>
dims = ()

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

/usr/lib/python3.13/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 0x7f1115a341e0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c2c5e40>
dims = ()

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

/usr/lib/python3.13/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 0x7f1115a34230>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1100d1bc40>
dims = ()

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

/usr/lib/python3.13/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 0x7f1115a34280>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1100cfd8a0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1115a342d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110091be20>
dims = ()

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

/usr/lib/python3.13/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 0x7f1115a34320>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1100cc7b20>
dims = ()

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

/usr/lib/python3.13/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 0x7f1115a34370>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1100d5cca0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1115a343c0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c52fca0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1115a34410>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c0d6e60>
dims = ()

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

/usr/lib/python3.13/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 0x7f1115a34460>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f111445cbe0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1115a344b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c2e5c60>
dims = ()

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

/usr/lib/python3.13/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 0x7f1115a34500>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1100d669e0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1115a34550>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c580e20>
dims = ()

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

/usr/lib/python3.13/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 0x7f1115a345a0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c4d4220>
dims = ()

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

/usr/lib/python3.13/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 0x7f1115a345f0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c2b2380>
dims = ()

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

/usr/lib/python3.13/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 0x7f1115a34640>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c0c5540>
dims = ()

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

/usr/lib/python3.13/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 0x7f1115a34690>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c104640>
dims = ()

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

/usr/lib/python3.13/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 0x7f1115a346e0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c2a3d60>
dims = ()

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

/usr/lib/python3.13/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 0x7f1115a34730>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c1467a0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1115a34780>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1100cded40>
dims = ()

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

/usr/lib/python3.13/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 0x7f1115a347d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11009067a0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1115a34820>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110077a740>
dims = ()

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

/usr/lib/python3.13/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 0x7f1115a34870>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1100959840>
dims = ()

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

/usr/lib/python3.13/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 0x7f1115a348c0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c250f40>
dims = ()

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

/usr/lib/python3.13/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 0x7f1115a34910>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c196b60>
dims = ()

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

/usr/lib/python3.13/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 0x7f1115a34960>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1100db0040>
dims = ()

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

/usr/lib/python3.13/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 0x7f1115a349b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1100986980>
dims = ()

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

/usr/lib/python3.13/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 0x7f1115a34a00>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1114219660>
dims = ()

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

/usr/lib/python3.13/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 0x7f1115a34a50>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c0e1a80>
dims = ()

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

/usr/lib/python3.13/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 0x7f1115a34aa0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c0d1720>
dims = ()

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

/usr/lib/python3.13/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 0x7f1115a34af0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c363640>
dims = ()

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

/usr/lib/python3.13/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 0x7f1115a34b40>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c29f160>
dims = ()

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

/usr/lib/python3.13/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 0x7f1115a34b90>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c2eb760>
dims = ()

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

/usr/lib/python3.13/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 0x7f1115a34be0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1100fa05e0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1115a34c30>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1100d78580>
dims = ()

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

/usr/lib/python3.13/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 0x7f1115a34c80>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c52d2a0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1115a34cd0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c143400>
dims = ()

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

/usr/lib/python3.13/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 0x7f1115a34d20>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1100d85420>
dims = ()

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

/usr/lib/python3.13/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 0x7f1115a34d70>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c26a4a0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1115a34dc0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1100d501c0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1115a34e10>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1100d18040>
dims = ()

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

/usr/lib/python3.13/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 0x7f1115a34e60>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c623ac0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1115a34eb0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c137c40>
dims = ()

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

/usr/lib/python3.13/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 0x7f1115a34f00>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1114296b60>
dims = ()

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

/usr/lib/python3.13/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 0x7f1115a34f50>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c149e40>
dims = ()

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

/usr/lib/python3.13/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 0x7f1115a34fa0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c106c80>
dims = ()

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

/usr/lib/python3.13/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 0x7f1115a34ff0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1100949d20>
dims = ()

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

/usr/lib/python3.13/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 0x7f1115a35040>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1100962d40>
dims = ()

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

/usr/lib/python3.13/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 0x7f1115a35090>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f111421fe80>
dims = ()

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

/usr/lib/python3.13/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 0x7f1115a350e0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11007aa2c0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1115a35130>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1100740340>
dims = ()

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

/usr/lib/python3.13/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 0x7f1115a35180>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11142c8ac0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1115a351d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11146b4700>
dims = ()

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

/usr/lib/python3.13/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 0x7f1115a35220>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1116c77e80>
dims = ()

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

/usr/lib/python3.13/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 0x7f1115a35270>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f111445d0c0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1115a352c0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1100795480>
dims = ()

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

/usr/lib/python3.13/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 0x7f1115a35310>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c217940>
dims = ()

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

/usr/lib/python3.13/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 0x7f1115a35360>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c16ece0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1115a353b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1100f318a0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1115a35400>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1100d82260>
dims = ()

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

/usr/lib/python3.13/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 0x7f1115a35450>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1100d309a0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1115a354a0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1114238fa0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1115a354f0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c141de0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1115a35540>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1100d7ce80>
dims = ()

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

/usr/lib/python3.13/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 0x7f1115a35590>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c2a0100>
dims = ()

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

/usr/lib/python3.13/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 0x7f1115a355e0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1100ee2380>
dims = ()

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

/usr/lib/python3.13/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 0x7f1115a35630>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11008e8880>
dims = ()

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

/usr/lib/python3.13/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 0x7f1115a35680>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110091ad40>
dims = ()

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

/usr/lib/python3.13/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 0x7f1115a356d0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1100d79000>
dims = ()

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

/usr/lib/python3.13/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 0x7f1115a35720>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c2c6e00>
dims = ()

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

/usr/lib/python3.13/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 0x7f1115a35770>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c2b1360>
dims = ()

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

/usr/lib/python3.13/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 0x7f1115a357c0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11141fb5e0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1115a35810>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c361600>
dims = ()

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

/usr/lib/python3.13/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 0x7f1115a35860>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c393100>
dims = ()

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

/usr/lib/python3.13/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 0x7f1115a358b0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11142f5960>
dims = ()

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

/usr/lib/python3.13/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 0x7f1115a35900>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1100975300>
dims = ()

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

/usr/lib/python3.13/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 0x7f1115a35950>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1100961600>
dims = ()

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

/usr/lib/python3.13/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 0x7f1115a359a0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f110c0e4340>
dims = ()

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

/usr/lib/python3.13/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 0x7f1115a359f0>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f11005e91e0>
dims = ()

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

/usr/lib/python3.13/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 0x7f1115a35a40>
bout_xyt_example_files = <function _bout_xyt_example_files at 0x7f11181882c0>
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/python3.13/site-packages/numpy/_core/function_base.py:183: in linspace
    y = conv.wrap(y.astype(dtype, copy=False))
/usr/lib/python3.13/site-packages/xarray/core/dataarray.py:4776: in __array_wrap__
    new_var = self.variable.__array_wrap__(obj, context)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:2366: in __array_wrap__
    return Variable(self.dims, obj)
/usr/lib/python3.13/site-packages/xarray/core/variable.py:422: in __init__
    super().__init__(
/usr/lib/python3.13/site-packages/xarray/namedarray/core.py:264: in __init__
    self._dims = self._parse_dimensions(dims)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <[AttributeError("'xarray.core.variable.Variable' object has no attribute '_dims'") raised in repr()] Variable object at 0x7f1100768ac0>
dims = ()

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

/usr/lib/python3.13/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: 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: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: 27 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_boutdataset.py::TestSaveRestart::test_from_restart_to_restart
  /usr/lib/python3.13/site-packages/_pytest/unraisableexception.py:85: PytestUnraisableExceptionWarning: Exception ignored in: <function CachingFileManager.__del__ at 0x7f111c344e00>
  
  Traceback (most recent call last):
    File "/usr/lib/python3.13/site-packages/xarray/backends/file_manager.py", line 250, in __del__
      self.close(needs_lock=False)
      ~~~~~~~~~~^^^^^^^^^^^^^^^^^^
    File "/usr/lib/python3.13/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
  
    warnings.warn(pytest.PytestUnraisableExceptionWarning(msg))

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 ===============================
3.23s call     xbout/tests/test_against_collect.py::TestAccuracyAgainstOldCollect::test_new_collect_indexing_slice
1.79s call     xbout/tests/test_against_collect.py::TestAccuracyAgainstOldCollect::test_new_collect_indexing_list
1.69s call     xbout/tests/test_against_collect.py::TestAccuracyAgainstOldCollect::test_new_collect_indexing_int
1.56s call     xbout/tests/test_load.py::TestOpen::test_combine_along_xy[lengths1-True-True]
1.40s call     xbout/tests/test_load.py::TestOpen::test_combine_along_xy[lengths0-True-True]
1.36s call     xbout/tests/test_load.py::TestOpen::test_combine_along_xy[lengths1-True-False]
1.33s call     xbout/tests/test_boutdataset.py::TestSave::test_save_all
1.31s call     xbout/tests/test_load.py::TestOpen::test_combine_along_xy[lengths1-False-False]
1.30s call     xbout/tests/test_boutdataset.py::TestSaveRestart::test_to_restart_change_npe_doublenull_expect_fail[npes0]
1.28s call     xbout/tests/test_boutdataset.py::TestSaveRestart::test_to_restart_change_npe_doublenull
1.18s call     xbout/tests/test_boutdataset.py::TestSave::test_reload_all[None]
1.08s call     xbout/tests/test_load.py::TestOpen::test_combine_along_xy[lengths0-True-False]
0.85s call     xbout/tests/test_load.py::TestOpen::test_combine_along_xy[lengths0-False-False]
0.81s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_controls_arg[controls2]
0.80s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_ncols
0.77s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list
0.75s setup    xbout/tests/test_animate.py::TestAnimate::test_animate1D_controls_arg[controls0]
0.75s call     xbout/tests/test_boutdataset.py::TestSave::test_reload_all[toroidal]
0.72s call     xbout/tests/test_boutdataset.py::TestSaveRestart::test_to_restart_change_npe_doublenull_expect_fail[npes1]
0.68s call     xbout/tests/test_boutdataset.py::TestSaveRestart::test_from_restart_to_restart
0.68s call     xbout/tests/test_load.py::TestOpen::test_toroidal
0.66s call     xbout/tests/test_against_collect.py::TestAccuracyAgainstOldCollect::test_multiple_files_along_xy
0.63s setup    xbout/tests/test_animate.py::TestAnimate::test_animate2D_controls_arg[controls0]
0.61s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_controls_arg[controls1]
0.61s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_vmax_list
0.58s setup    xbout/tests/test_animate.py::TestAnimate::test_animate2D_controls_arg[controls5]
0.58s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_vmin
0.58s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_controls_arg[controls0]
0.58s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_save_as
0.58s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_nrows
0.58s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_titles_list
0.58s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_logscale_list
0.58s setup    xbout/tests/test_animate.py::TestAnimate::test_animate1D_controls_arg[controls4]
0.58s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_controls_arg[controls4]
0.57s setup    xbout/tests/test_animate.py::TestAnimate::test_animate1D
0.57s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_vmax
0.57s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_fps
0.56s setup    xbout/tests/test_animate.py::TestAnimate::test_animate1D_controls_arg[controls5]
0.56s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_controls_arg[controls5]
0.56s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_logscale_float
0.56s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_vmin_list
0.56s setup    xbout/tests/test_animate.py::TestAnimate::test_animate1D_controls_arg[controls1]
0.56s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_animate_over
0.56s setup    xbout/tests/test_animate.py::TestAnimate::test_animate2D_controls_arg[controls2]
0.55s setup    xbout/tests/test_animate.py::TestAnimate::test_animate1D_controls_arg[controls3]
0.55s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_1d_default
0.55s setup    xbout/tests/test_animate.py::TestAnimate::test_animate2D_controls_arg[controls3]
0.55s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_subplots_adjust
0.55s setup    xbout/tests/test_animate.py::TestAnimate::test_animate2D_controls_arg[controls4]
0.54s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_controls_arg[controls3]
0.54s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_1d_multiline
0.54s setup    xbout/tests/test_animate.py::TestAnimate::test_animate1D_controls_arg[controls2]
0.54s setup    xbout/tests/test_animate.py::TestAnimate::test_animate2D_controls_arg[controls1]
0.53s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_logscale
0.53s setup    xbout/tests/test_animate.py::TestAnimate::test_animate_list_not_enough_nrowsncols
0.51s setup    xbout/tests/test_animate.py::TestAnimate::test_animate2D
0.51s call     xbout/tests/test_boutdataset.py::TestSaveRestart::test_to_restart[None]
0.48s call     xbout/tests/test_boutdataset.py::TestSaveRestart::test_to_restart_change_npe
0.45s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_from_unstructured_unstructured_output
0.40s call     xbout/tests/test_load.py::TestOpen::test_salpha
0.34s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-0-False-False-guards1]
0.34s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[upper-disconnected-double-null-False-False-guards3]
0.34s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-0-False-False-guards3]
0.34s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-0-False-False-guards2]
0.34s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[upper-disconnected-double-null-False-False-guards2]
0.33s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-0-False-False-guards0]
0.33s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-0-False-False-guards0]
0.33s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[upper-disconnected-double-null-False-False-guards0]
0.33s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-0-False-False-guards3]
0.33s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-False-False-guards3]
0.33s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[upper-disconnected-double-null-False-False-guards1]
0.33s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-0-False-False-guards2]
0.33s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-0-False-False-guards1]
0.33s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_from_unstructured
0.33s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-False-False-guards2]
0.33s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-False-False-guards0]
0.33s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-False-False-guards1]
0.32s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-True-True-guards3]
0.32s call     xbout/tests/test_region.py::TestRegion::test_region_connecteddoublenull[False-False-guards0]
0.32s call     xbout/tests/test_region.py::TestRegion::test_region_connecteddoublenull[False-False-guards1]
0.32s call     xbout/tests/test_region.py::TestRegion::test_region_connecteddoublenull[False-False-guards2]
0.32s call     xbout/tests/test_region.py::TestRegion::test_region_connecteddoublenull[False-False-guards3]
0.32s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-False-False-guards2]
0.32s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-True-False-guards1]
0.32s call     xbout/tests/test_against_collect.py::TestAccuracyAgainstOldCollect::test_multiple_files_along_y
0.31s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-False-True-guards0]
0.31s call     xbout/tests/test_boutdataset.py::TestSave::test_save_separate_variables
0.31s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-False-False-guards0]
0.30s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel_limiter
0.30s call     xbout/tests/test_boutdataset.py::TestSave::test_reload_separate_variables[toroidal]
0.29s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-0-True-False-guards0]
0.29s call     xbout/tests/test_load.py::TestOpen::test_combine_along_x
0.29s call     xbout/tests/test_boutdataset.py::TestSaveRestart::test_to_restart[1]
0.27s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-0-True-True-guards1]
0.23s call     xbout/tests/test_against_collect.py::TestAccuracyAgainstOldCollect::test_multiple_files_along_x
0.23s call     xbout/tests/test_load.py::TestOpen::test_combine_along_y
0.23s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-False-True-guards0]
0.22s call     xbout/tests/test_region.py::TestRegion::test_region_xpoint[False-False-guards1]
0.22s call     xbout/tests/test_region.py::TestRegion::test_region_xpoint[False-False-guards3]
0.22s call     xbout/tests/test_region.py::TestRegion::test_region_xpoint[False-False-guards2]
0.22s call     xbout/tests/test_region.py::TestRegion::test_region_core[True-False-guards2]
0.22s call     xbout/tests/test_region.py::TestRegion::test_region_xpoint[False-False-guards0]
0.22s call     xbout/tests/test_region.py::TestRegion::test_region_singlenull[False-False-guards2]
0.22s call     xbout/tests/test_region.py::TestRegion::test_region_singlenull[False-False-guards3]
0.22s call     xbout/tests/test_region.py::TestRegion::test_region_singlenull[False-False-guards0]
0.22s call     xbout/tests/test_region.py::TestRegion::test_region_singlenull[False-False-guards1]
0.21s call     xbout/tests/test_boutdataset.py::TestSave::test_reload_separate_variables_time_split[toroidal]
0.21s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[0-False-False-guards1]
0.21s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[0-False-False-guards3]
0.21s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[0-False-False-guards0]
0.21s call     xbout/tests/test_region.py::TestRegion::test_region_core[False-False-guards1]
0.21s call     xbout/tests/test_region.py::TestRegion::test_region_core[False-False-guards3]
0.21s call     xbout/tests/test_region.py::TestRegion::test_region_core[False-False-guards0]
0.21s call     xbout/tests/test_region.py::TestRegion::test_region_sol[False-False-guards0]
0.21s call     xbout/tests/test_region.py::TestRegion::test_region_sol[False-False-guards1]
0.21s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[0-False-False-guards2]
0.21s call     xbout/tests/test_region.py::TestRegion::test_region_core[False-False-guards2]
0.21s call     xbout/tests/test_region.py::TestRegion::test_region_sol[False-False-guards3]
0.21s call     xbout/tests/test_region.py::TestRegion::test_region_sol[False-False-guards2]
0.20s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_to_dataset
0.19s call     xbout/tests/test_boutdataset.py::TestSave::test_reload_separate_variables_time_split[None]
0.17s call     xbout/tests/test_boutdataset.py::TestSave::test_reload_separate_variables[None]
0.17s call     xbout/tests/test_load.py::TestOpen::test_drop_vars
0.13s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_remove_yboundaries[False-0-0]
0.13s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_remove_yboundaries[False-0-2]
0.13s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_remove_yboundaries[False-2-2]
0.13s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_remove_yboundaries[False-2-0]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[lower-disconnected-double-null-True-False-guards2]
0.13s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-2-True-False-guards3]
0.13s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-2-True-True-guards0]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-True-False-guards3]
0.13s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-2-False-False-guards3]
0.13s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-1-True-False-guards2]
0.13s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-1-True-True-guards3]
0.13s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-2-True-False-guards3]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-True-False-guards2]
0.13s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-2-True-True-guards3]
0.13s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-1-False-False-guards2]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-True-False-guards3]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-False-False-guards3]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-False-False-guards3]
0.13s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-0-False-True-guards2]
0.13s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-2-False-True-guards3]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-True-True-guards1]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-True-True-guards0]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[lower-disconnected-double-null-True-True-guards2]
0.13s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-2-True-False-guards2]
0.13s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-1-True-True-guards2]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-True-False-guards2]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-True-False-guards3]
0.13s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-0-True-False-guards2]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-True-False-guards3]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-True-True-guards1]
0.13s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-True-True-guards1]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-True-False-guards2]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-True-True-guards3]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[lower-disconnected-double-null-False-True-guards2]
0.13s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-0-True-False-guards1]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-True-False-guards2]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-True-False-guards3]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-True-False-guards2]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-True-False-guards3]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-True-False-guards3]
0.13s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-0-True-False-guards2]
0.13s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-True-False-guards1]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-True-False-guards1]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-False-False-guards3]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-False-True-guards1]
0.13s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-1-True-True-guards0]
0.13s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-1-False-True-guards2]
0.13s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-1-True-True-guards1]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-True-True-guards2]
0.13s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-True-True-guards1]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[upper-disconnected-double-null-True-False-guards3]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-False-False-guards3]
0.13s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-1-False-False-guards2]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-False-False-guards1]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-False-True-guards2]
0.13s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-0-True-True-guards2]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-True-False-guards0]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-True-False-guards2]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-False-False-guards2]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-False-True-guards2]
0.13s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-2-False-False-guards3]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-True-True-guards3]
0.13s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-2-True-False-guards1]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[lower-disconnected-double-null-True-False-guards3]
0.13s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-1-True-False-guards3]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-True-False-guards0]
0.13s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-0-True-True-guards3]
0.13s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_derivatives_doublenull
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-False-False-guards1]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-True-False-guards0]
0.13s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-1-False-True-guards2]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[upper-disconnected-double-null-True-True-guards1]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[upper-disconnected-double-null-True-True-guards3]
0.13s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-2-True-False-guards0]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-False-False-guards3]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-True-False-guards2]
0.13s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-2-True-False-guards1]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-False-True-guards3]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-False-True-guards2]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-False-True-guards1]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-True-True-guards1]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-False-True-guards2]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-True-False-guards3]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-True-True-guards3]
0.13s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-0-True-True-guards1]
0.13s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-0-True-True-guards0]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-True-True-guards2]
0.13s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-2-True-True-guards2]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-True-False-guards0]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-True-True-guards3]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-False-True-guards1]
0.13s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-2-False-False-guards1]
0.13s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-1-True-False-guards1]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[upper-disconnected-double-null-False-True-guards1]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-True-True-guards0]
0.13s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-0-True-False-guards3]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[lower-disconnected-double-null-False-False-guards3]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-False-False-guards0]
0.13s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-2-False-True-guards3]
0.13s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-0-False-True-guards1]
0.13s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-1-True-False-guards0]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-False-False-guards2]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[upper-disconnected-double-null-True-False-guards1]
0.13s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-0-False-True-guards3]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-False-True-guards3]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-True-True-guards3]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-False-True-guards2]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-True-False-guards0]
0.13s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-1-False-False-guards3]
0.13s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-0-False-True-guards0]
0.13s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-2-True-False-guards2]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-True-True-guards1]
0.13s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-2-False-False-guards2]
0.13s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-True-False-guards3]
0.13s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-0-True-True-guards3]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-2-True-True-guards1]
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_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-True-False-guards0]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-2-False-True-guards2]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-False-False-guards3]
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[lower-disconnected-double-null-True-False-guards1]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[upper-disconnected-double-null-True-False-guards2]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-1-False-True-guards0]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[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_guards2-True-False-guards1]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-False-True-guards0]
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_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-2-True-True-guards1]
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_guards3-True-False-guards1]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-2-False-False-guards2]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-0-False-True-guards2]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-False-True-guards0]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-False-True-guards3]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-1-True-False-guards2]
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_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[lower-disconnected-double-null-1-True-True-guards3]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-False-True-guards0]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-True-True-guards1]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[lower-disconnected-double-null-False-True-guards0]
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_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-False-False-guards2]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-True-True-guards0]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-False-True-guards3]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-True-False-guards2]
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_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-0-True-False-guards3]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-2-False-True-guards1]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[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-True-True-guards0]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-False-True-guards0]
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_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-True-True-guards3]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-2-True-False-guards0]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-False-False-guards2]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-1-False-True-guards1]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-True-True-guards0]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-False-False-guards1]
0.12s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-False-True-guards1]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-True-False-guards1]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-False-False-guards1]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-False-True-guards1]
0.12s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-False-False-guards1]
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_get_one_guard[upper-disconnected-double-null-with_guards2-True-True-guards0]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-False-False-guards3]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-True-True-guards2]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-False-True-guards1]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-False-False-guards0]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-1-False-True-guards1]
0.12s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-True-False-guards3]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-True-False-guards1]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-True-False-guards1]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-True-False-guards0]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-True-False-guards2]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-True-True-guards3]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[upper-disconnected-double-null-False-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-guards3]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-1-False-False-guards1]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[lower-disconnected-double-null-False-True-guards3]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-False-False-guards2]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[lower-disconnected-double-null-False-False-guards1]
0.12s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-False-True-guards3]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-2-False-False-guards0]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[upper-disconnected-double-null-True-False-guards0]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-False-False-guards2]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-1-False-False-guards3]
0.12s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-True-False-guards2]
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_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-False-True-guards0]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-0-False-True-guards0]
0.12s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-True-False-guards2]
0.12s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-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[upper-disconnected-double-null-1-True-False-guards0]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-2-False-True-guards0]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[lower-disconnected-double-null-False-True-guards1]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[lower-disconnected-double-null-True-False-guards0]
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-1-True-True-guards0]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-True-False-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[lower-disconnected-double-null-1-True-True-guards1]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-False-False-guards0]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[upper-disconnected-double-null-False-True-guards0]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-1-False-True-guards3]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-True-False-guards0]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-1-False-True-guards3]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-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-with_guards2-False-False-guards0]
0.12s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-False-False-guards3]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-2-True-True-guards0]
0.12s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-True-True-guards2]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-True-True-guards2]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-False-True-guards0]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-1-False-False-guards1]
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[lower-disconnected-double-null-with_guards3-True-True-guards2]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-False-True-guards3]
0.12s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-False-True-guards3]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-1-True-False-guards1]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-False-True-guards1]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-0-True-False-guards0]
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_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-1-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_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-True-False-guards1]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-False-True-guards3]
0.12s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-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-guards3]
0.12s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-False-True-guards0]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-True-True-guards0]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-False-False-guards0]
0.12s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-True-False-guards3]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-False-False-guards2]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-False-False-guards1]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-False-True-guards0]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-2-False-True-guards0]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-True-True-guards0]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-False-False-guards2]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-False-False-guards0]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards3-False-True-guards1]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[upper-disconnected-double-null-False-True-guards3]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[lower-disconnected-double-null-True-True-guards1]
0.12s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-False-True-guards2]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-False-False-guards1]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-1-True-False-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_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-2-False-True-guards2]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-1-False-True-guards0]
0.12s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-False-True-guards2]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards2-False-True-guards1]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-False-False-guards0]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-0-False-True-guards1]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-False-True-guards2]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards1-False-False-guards0]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[lower-disconnected-double-null-False-False-guards0]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-False-True-guards3]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-0-True-True-guards0]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-True-True-guards2]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-0-True-False-guards1]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-1-False-False-guards0]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-2-False-False-guards0]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-False-True-guards2]
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[lower-disconnected-double-null-0-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-guards3]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-False-False-guards3]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-True-True-guards3]
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_get_one_guard[lower-disconnected-double-null-1-False-False-guards2]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-0-False-True-guards3]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[upper-disconnected-double-null-2-False-True-guards1]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-with_guards1-False-False-guards1]
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_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-False-True-guards1]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards2-True-True-guards1]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-False-True-guards2]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-with_guards3-False-True-guards3]
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_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-1-False-False-guards0]
0.12s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-True-False-guards0]
0.12s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-True-True-guards0]
0.12s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-False-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[upper-disconnected-double-null-0-True-True-guards2]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-0-False-True-guards0]
0.12s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-False-True-guards1]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull[lower-disconnected-double-null-False-False-guards2]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-disconnected-double-null-1-False-False-guards1]
0.12s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-True-False-guards0]
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_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate1-False-False-guards0]
0.12s call     xbout/tests/test_plot.py::TestPlot::test_region_disconnecteddoublenull[lower-disconnected-double-null-2-False-False-guards1]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[lower-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_guards3-False-False-guards1]
0.12s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_parallel[vars_to_interpolate0-True-False-guards1]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_disconnecteddoublenull_get_one_guard[upper-disconnected-double-null-1-False-False-guards0]
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_load.py::TestOpen::test_restarts
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_connecteddoublenull[True-False-guards2]
0.12s call     xbout/tests/test_region.py::TestRegion::test_region_connecteddoublenull[True-False-guards3]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_connecteddoublenull[False-True-guards1]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_connecteddoublenull[True-False-guards0]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_connecteddoublenull[True-True-guards1]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_connecteddoublenull[False-True-guards2]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_connecteddoublenull[False-True-guards0]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_connecteddoublenull[False-True-guards3]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_connecteddoublenull[True-True-guards0]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_connecteddoublenull[True-True-guards2]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_connecteddoublenull[True-True-guards3]
0.11s call     xbout/tests/test_region.py::TestRegion::test_region_connecteddoublenull[True-False-guards1]
0.11s call     xbout/tests/test_against_collect.py::TestAccuracyAgainstOldCollect::test_single_file
0.10s call     xbout/tests/test_load.py::TestOpen::test_squashed_doublenull_file[False-False]
0.10s call     xbout/tests/test_load.py::TestOpen::test_squashed_file
0.09s call     xbout/tests/test_boutdataset.py::TestSave::test_save_dtype[False-float64]
0.08s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_integrate_midpoints_salpha[CELL_CENTRE]
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-guards3]
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-guards2]
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-False-guards1]
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-guards0]
0.08s call     xbout/tests/test_region.py::TestRegion::test_region_xpoint[False-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-True-guards3]
0.08s call     xbout/tests/test_region.py::TestRegion::test_region_xpoint[False-True-guards1]
0.08s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_integrate_midpoints_slab
0.08s call     xbout/tests/test_region.py::TestRegion::test_region_singlenull[False-True-guards3]
0.08s call     xbout/tests/test_region.py::TestRegion::test_region_singlenull[True-False-guards1]
0.08s call     xbout/tests/test_region.py::TestRegion::test_region_singlenull[False-True-guards0]
0.08s call     xbout/tests/test_region.py::TestRegion::test_region_singlenull[True-True-guards2]
0.08s call     xbout/tests/test_region.py::TestRegion::test_region_singlenull[False-True-guards1]
0.08s call     xbout/tests/test_region.py::TestRegion::test_region_singlenull[True-True-guards0]
0.08s call     xbout/tests/test_region.py::TestRegion::test_region_singlenull[True-True-guards1]
0.08s call     xbout/tests/test_region.py::TestRegion::test_region_singlenull[False-True-guards2]
0.08s call     xbout/tests/test_region.py::TestRegion::test_region_singlenull[True-False-guards3]
0.08s call     xbout/tests/test_region.py::TestRegion::test_region_singlenull[True-False-guards0]
0.08s call     xbout/tests/test_region.py::TestRegion::test_region_singlenull[True-False-guards2]
0.08s call     xbout/tests/test_region.py::TestRegion::test_region_singlenull[True-True-guards3]
0.08s call     xbout/tests/test_against_collect.py::TestAccuracyAgainstOldCollect::test_metadata
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-True-guards0]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[1-False-True-guards3]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[1-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_region.py::TestRegion::test_region_limiter[0-True-False-guards3]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[0-True-False-guards2]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[0-True-True-guards3]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[1-False-True-guards1]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[0-False-True-guards0]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[1-True-False-guards1]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[1-True-False-guards3]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[1-True-True-guards1]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[1-False-False-guards2]
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_limiter[1-True-True-guards3]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_sol[True-True-guards0]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_core[False-True-guards1]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[0-True-True-guards2]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[1-True-True-guards0]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[1-True-False-guards2]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[0-True-True-guards1]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[1-False-False-guards3]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[0-False-True-guards3]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[0-True-False-guards0]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[1-True-False-guards0]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[0-False-True-guards2]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_core[True-True-guards0]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_core[True-True-guards3]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_sol[False-True-guards1]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[0-True-False-guards1]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_sol[True-True-guards3]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_limiter[1-False-False-guards1]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_sol[True-False-guards2]
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_core[True-False-guards3]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_core[True-True-guards1]
0.07s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_interpolate_parallel_region_singlenull
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_core[True-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_core[False-True-guards3]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_core[False-True-guards2]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_sol[False-True-guards3]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_sol[True-True-guards1]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_sol[True-False-guards3]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_sol[True-False-guards0]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_sol[False-True-guards0]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_sol[False-True-guards2]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_core[False-True-guards0]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_core[True-False-guards0]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_core[True-False-guards1]
0.07s call     xbout/tests/test_region.py::TestRegion::test_region_sol[True-False-guards1]
0.07s call     xbout/tests/test_load.py::TestOpen::test_single_file
0.07s call     xbout/tests/test_load.py::TestOpen::test_squashed_doublenull_file[True-False]
0.06s call     xbout/tests/test_load.py::TestOpen::test_squashed_doublenull_file[False-True]
0.06s call     xbout/tests/test_boutdataset.py::TestBoutDatasetIsXarrayDataset::test_concat
0.06s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_get_field_aligned
0.06s call     xbout/tests/test_boutdataset.py::TestSave::test_save_dtype[True-float32]
0.06s call     xbout/tests/test_boutdataset.py::TestSave::test_save_dtype[False-float32]
0.06s call     xbout/tests/test_boutdataset.py::TestSave::test_save_dtype[True-float64]
0.06s call     xbout/tests/test_load.py::TestOpen::test_squashed_doublenull_file[True-True]
0.06s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_remove_yboundaries[True-2-0]
0.06s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_remove_yboundaries[True-0-0]
0.06s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_remove_yboundaries[True-0-2]
0.06s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_remove_yboundaries[2-0]
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-2-2]
0.06s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_remove_yboundaries[2-2]
0.05s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_integrate_midpoints_salpha[CELL_XLOW]
0.05s 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_grid.py::TestOpenGrid::test_open_grid_chunks
0.04s call     xbout/tests/test_grid.py::TestOpenGrid::test_open_grid_extra_dims
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_toroidal_points
0.03s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_interpolate_parallel
0.03s call     xbout/tests/test_grid.py::TestOpenGrid::test_open_grid
0.03s call     xbout/tests/test_grid.py::TestOpenGrid::test_open_grid_chunks_not_in_grid
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-guards2]
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_boutdataarray.py::TestBoutDataArrayMethods::test_interpolate_parallel_region_sol
0.03s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_interpolate_parallel_region_core
0.03s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_ddy
0.03s call     xbout/tests/test_load.py::test_set_fci_coords
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_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_ddx
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_to_field_aligned[False-8]
0.02s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_add_cartesian_coordinates
0.02s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_ddz
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-guards3]
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-False-False-guards3]
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[1-False-True-guards1]
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[2-True-False-guards2]
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[1-True-False-guards0]
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[2-True-True-guards3]
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[2-False-False-guards2]
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[2-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[2-False-True-guards3]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[2-True-True-guards0]
0.02s setup    xbout/tests/test_load.py::test_set_fci_coords
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[1-False-True-guards0]
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[0-True-True-guards3]
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[0-True-True-guards0]
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[1-False-False-guards2]
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-True-True-guards2]
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[0-False-True-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[1-True-True-guards2]
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-False-guards1]
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[0-True-True-guards2]
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[0-False-True-guards3]
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-False-guards0]
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[0-False-True-guards2]
0.02s call     xbout/tests/test_load.py::TestPathHandling::test_glob_expansion_both[3-111]
0.02s call     xbout/tests/test_plot.py::TestPlot::test_region_limiter[2-False-True-guards0]
0.02s call     xbout/tests/test_grid.py::TestOpenGrid::test_open_grid_apply_geometry
0.01s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_interpolate_parallel_region_core_change_n[7]
0.01s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_interpolate_parallel_region_core_change_n[2]
0.01s call     xbout/tests/test_load.py::TestPathHandling::test_glob_expansion_brackets[3-111]
0.01s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_interpolate_parallel_sol
0.01s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_interpolate_parallel_region_core_change_n[3]
0.01s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_interpolate_parallel_region_core_change_n[18]
0.01s call     xbout/tests/test_load.py::TestPathHandling::test_glob_expansion_both[121-2]
0.01s call     xbout/tests/test_load.py::TestStripMetadata::test_strip_metadata
0.01s call     xbout/tests/test_load.py::TestTrim::test_trim_timing_info[False]
0.01s call     xbout/tests/test_load.py::TestTrim::test_infer_boundaries_2d_parallelization_doublenull_by_filenum[0-3-1-4-lower_boundaries3-upper_boundaries3]
0.01s call     xbout/tests/test_load.py::TestTrim::test_trim_timing_info[True]
0.01s call     xbout/calc/tests/test_turbulence.py::TestRootMeanSquare::test_reduce_2d_dask
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[True-False]
0.01s call     xbout/tests/test_load.py::TestOpen::test_squashed_doublenull[False-True]
0.01s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_from_field_aligned[6]
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_from_field_aligned_staggered[True-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_from_field_aligned[True-8]
0.01s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_to_field_aligned[8]
0.01s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_from_field_aligned[False-8]
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[7]
0.01s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_to_field_aligned_dask
0.01s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_from_field_aligned[False-7]
0.01s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_from_field_aligned[9]
0.01s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_to_field_aligned_dask[True]
0.01s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_interpolate_to_cartesian
0.01s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_to_field_aligned_staggered[True-CELL_YLOW]
0.01s call     xbout/tests/test_boutdataset.py::TestBoutDatasetMethods::test_to_field_aligned[9]
0.01s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_to_field_aligned_staggered[True-CELL_ZLOW]
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[False-CELL_ZLOW]
0.01s call     xbout/tests/test_boutdataset.py::TestBoutDatasetIsXarrayDataset::test_isel
0.01s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_to_field_aligned[True-9]
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_to_field_aligned[7]
0.01s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_to_field_aligned_staggered[False-CELL_YLOW]
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_to_field_aligned_staggered[CELL_YLOW]
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_staggered[False-CELL_ZLOW]
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_to_field_aligned_staggered[True-CELL_XLOW]
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_from_field_aligned[8]
0.01s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_to_field_aligned_staggered[False-CELL_XLOW]
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[False-6]
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[6]
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_from_field_aligned_staggered[CELL_ZLOW]
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-7]
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_staggered[CELL_YLOW]
0.01s call     xbout/tests/test_boutdataarray.py::TestBoutDataArrayMethods::test_from_field_aligned_staggered[True-CELL_YLOW]

(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_boutdataset.py::TestSaveRestart::test_from_restart_to_restart
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_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, 1719 warnings, 38 errors in 191.44s (0:03:11) =
/var/tmp/rpm-tmp.rcTgPw: line 53:   591 Segmentation fault      (core dumped) CFLAGS="${CFLAGS:-${RPM_OPT_FLAGS}}" LDFLAGS="${LDFLAGS:-${RPM_LD_FLAGS}}" PATH="/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/bin:$PATH" PYTHONPATH="${PYTHONPATH:-/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib64/python3.13/site-packages:/builddir/build/BUILD/python-xbout-0.3.6-build/BUILDROOT/usr/lib/python3.13/site-packages}" PYTHONDONTWRITEBYTECODE=1 PYTEST_ADDOPTS="${PYTEST_ADDOPTS:-} --ignore=/builddir/build/BUILD/python-xbout-0.3.6-build/xbout-0.3.6/.pyproject-builddir" PYTEST_XDIST_AUTO_NUM_WORKERS="${PYTEST_XDIST_AUTO_NUM_WORKERS:-4}" /usr/bin/pytest xbout --long --durations=0

RPM build errors:
error: Bad exit status from /var/tmp/rpm-tmp.rcTgPw (%check)
    Bad exit status from /var/tmp/rpm-tmp.rcTgPw (%check)
Finish: rpmbuild python-xbout-0.3.6-5.fc43.src.rpm
Finish: build phase for python-xbout-0.3.6-5.fc43.src.rpm
INFO: chroot_scan: 1 files copied to /var/lib/copr-rpmbuild/results/chroot_scan
INFO: /var/lib/mock/fedora-rawhide-x86_64-1745510928.265359/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-0.3.6-5.fc43.src.rpm) Config(fedora-rawhide-x86_64) 3 minutes 42 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 37d4e9db41ca4faf81b096e94d100a11 -D /var/lib/mock/fedora-rawhide-x86_64-1745510928.265359/root -a -u mockbuild --capability=cap_ipc_lock --rlimit=RLIMIT_NOFILE=10240 --capability=cap_ipc_lock --bind=/tmp/mock-resolv.txlrcqlx:/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